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Senior Power BI Developer   Location: York Flexibility: Hybrid - 1-2 days a week in office   About the Company Our client is a leading international organisation undergoing an ambitious transformation of its data and analytics capabilities. Its Data team is focused on using data, analytics and AI to accelerate business growth, improve efficiency and support better, more customer-focused decision-making.   The organisation is building a mature, product-led data culture in which colleagues are empowered to work confidently with data and insights. Collaboration, continuous improvement, commercial thinking and high engineering standards are central to the way the team operates.   You’ll join a multidisciplinary Data function, working alongside specialists across Data Engineering, Data Products, Data Management, Data Visualisation and Data Science.   The Role We’re looking for an experienced Senior Power BI Developer to take a leading technical role in the design, delivery and continuous improvement of trusted, business-critical Power BI products.   You’ll own complex reporting solutions from discovery and design through to deployment, support and ongoing optimisation. You’ll translate business questions into intuitive, scalable and governed data experiences while balancing usability, performance, security and maintainability.   This is a role for someone who enjoys solving complex problems, setting technical direction and raising standards. You’ll act as a trusted technical adviser, challenge unnecessary complexity, coach colleagues and help shape how high-quality BI products are designed and delivered across the organisation.   Key Responsibilities Own the end-to-end technical delivery and lifecycle of complex Power BI products, from discovery and solution design through development, testing, deployment, support and continuous improvement. Lead the design of intuitive, user-focused reporting experiences and reusable patterns that improve adoption and reduce unnecessary duplication. Design and optimise scalable semantic models, advanced DAX, Power Query transformations and report structures, identifying and resolving performance bottlenecks. Determine the appropriate location for transformation and business logic across data, modelling and reporting layers. Establish and maintain high standards across engineering, visual design, accessibility, documentation, security, reconciliation, source control and controlled releases. Manage technical debt and operational reliability, ensuring reporting products remain supportable and fit for purpose throughout their lifecycle. Advise stakeholders and multidisciplinary teams on technical decisions, risks, dependencies and delivery trade-offs. Challenge requirements and existing approaches constructively, helping teams avoid unnecessary complexity and one-off solutions. Coach developers and analysts through design reviews, technical guidance, reusable examples and constructive feedback. Champion continuous improvement by using user feedback, evidence and performance data to enhance reporting products and their adoption.   Skills & Experience   Required Technical Advanced hands-on experience delivering complex Power BI solutions in an enterprise or business-critical environment. Experience with UX/UI methodologies, user research, analytics product management or adoption measurement. Expert knowledge of DAX, Power Query, semantic modelling, dimensional modelling and report performance optimisation. Strong SQL skills and a solid understanding of modern data platforms and data architectures. Experience working with curated data layers, pipelines, data contracts, data lineage and reconciliation. Strong understanding of where transformation and business logic should sit across the data and reporting landscape. Practical experience of enterprise Power BI governance, including workspaces, row-level security, deployment pipelines, source control, release management, monitoring and production support.   Professional Demonstrable technical leadership experience, with the confidence to make complex decisions and balance immediate delivery with long-term product quality. Excellent communication and stakeholder-management skills, with the ability to explain technical concepts, calculations, risks and trade-offs to non-technical audiences. Strong coaching and collaboration skills, with a track record of raising standards through reviews, guidance and constructive feedback. A proactive, analytical approach to problem-solving, with personal accountability for delivering high-quality outcomes. Significant experience delivering enterprise or business-critical BI products, including complex semantic models, multi-stakeholder reporting and full-lifecycle ownership. Evidence of improving performance, usability and maintainability across BI or analytics environments.   Desirable Experience using Power BI alongside a modern cloud data platform such as Databricks, Google Cloud Platform or Microsoft Fabric. Experience rationalising or decommissioning legacy reporting solutions. Working knowledge of Python or R. Familiarity with AI-assisted analytics, conversational analytics or emerging AI capabilities within the BI landscape.   What’s on Offer The organisation recognises that its people are fundamental to its success and is committed to creating an inclusive, collaborative environment where everyone can do their best work.   Equal Opportunities We are an equal opportunities employer and are committed to fostering an inclusive workplace which values and benefits from the diversity of the workforce we hire. We offer reasonable accommodation at every stage of the application and interview process.   If this is of interest, feel free to reach out using the details below.

Data Scientist - Global Insurance Firm York | Manchester | Hybrid   Company Overview Our client is a global specialist insurer known for its innovative approach to risk and commitment to leveraging technology and data to drive better business decisions. With a strong presence in international markets, the organisation focuses on delivering high-quality insurance solutions while continually investing in advanced analytics, AI, and data capabilities.   The business promotes a collaborative, forward-thinking culture where data and technology play a central role in shaping strategy and delivering measurable value. Teams work across multiple functions to build impactful solutions that enhance underwriting, pricing, and operational decision-making.   Job Summary Our client is seeking a Data Scientist to join a growing analytics team supporting decision-making across the London Market. This is a high-impact role where you will act as a critical thinker and problem solver, applying advanced analytics and innovative thinking to complex business challenges.   You will work across multiple business areas, delivering both ad-hoc analysis and predictive or prescriptive models that support strategic and operational decisions. The role offers the opportunity to work with diverse datasets, apply modern machine learning techniques, and help strengthen the organisation’s data-driven culture.   As part of a multidisciplinary technical team, you will collaborate closely with data engineers, analysts, and business stakeholders to design and deliver scalable data solutions. This position is ideal for someone who enjoys turning complex data into actionable insights and communicating the business value of analytics.   Key Responsibilities Develop analytical solutions that support business decision-making using industry best practices and emerging data science methodologies. Work across the end-to-end data science lifecycle, from understanding business challenges to designing and implementing analytical models. Analyse both internal and external datasets to generate insights and predictive capabilities. Apply machine learning, statistical modelling, and advanced analytics techniques to solve complex business problems. Collaborate with cross-functional teams including data engineers, analysts, and business stakeholders such as pricing and underwriting teams. Communicate analytical findings clearly to non-technical stakeholders and demonstrate the value of data-driven solutions. Contribute to the development and maturity of analytics practices across the organisation. Support continuous improvement by exploring new analytical approaches and technologies.   Required Skills Degree in STEM (Science, Technology, Engineering, Mathematics) or a closely related discipline, or equivalent practical experience. Experience in data science, advanced analytics, or machine learning, or a strong interest in developing expertise in these areas. Strong understanding of statistics and quantitative analysis. Experience developing predictive or prescriptive models to generate business insights. Proficiency in programming languages such as Python, R, or SQL. Familiarity with version control systems, Agile methodologies, and modern development tools. Ability to work both independently and collaboratively within small teams. Strong written and verbal communication skills with the ability to present complex analytical findings clearly to stakeholders.   Preferred Skills Postgraduate degree in a relevant field such as Data Science, Statistics, or Machine Learning. Experience applying data science within financial services or insurance environments. Exposure to large language models, prompt engineering, or generative AI technologies. Experience working with cloud platforms such as Google Cloud Platform (GCP). Interest or experience in natural language processing (NLP) or computer vision. Knowledge of a wide range of machine learning techniques, from classical statistical models to deep learning methods. Understanding of software development best practices.   Benefits Competitive salary and performance-related incentives Pension contributions Generous annual leave allowance Flexible and hybrid working options Professional development and learning opportunities Collaborative and innovative working environment Opportunity to work on high-impact analytics projects within a global organisation   Equal Opportunity Statement SPG Resourcing is an equal opportunities employer and is committed to fostering an inclusive workplace which values and benefits from the diversity of the workforce we hire. We offer reasonable accommodation at every stage of the application and interview process.

Head of Project & Service Delivery   Location: Hybrid working with offices based in Leeds or Sunderland. Salary: £70,000 - £80,000 per annum plus up to 15% annual bonus.   Company Overview We are working with a leading infrastructure organisation delivering essential services to millions of homes and businesses across the UK. With a strong focus on safety, innovation and operational excellence, the organisation is investing in its technology and service capabilities to deliver resilient, customer-focused services and meaningful change across the business.   Job Summary We are seeking an experienced Head of IT Service & Project Delivery to provide strategic leadership across IT service delivery, operational performance and technology change.   This is a senior leadership role responsible for ensuring the effective delivery, performance and continual improvement of IT services, while also overseeing the successful transition of projects and transformation initiatives into live operational environments.   You will lead a high-performing team and work closely with senior business and technology stakeholders, suppliers and third-party partners to ensure IT services are reliable, resilient, customer-focused and aligned to organisational priorities.   A key part of the role will be strengthening the relationship between IT operations, service management and project delivery, ensuring that new technology and business changes are introduced effectively and deliver sustainable operational value.   The successful candidate will be an experienced IT Service Delivery leader who combines strong operational and people leadership with a good understanding of technology change, governance, suppliers and continuous improvement.   Key Responsibilities IT Service Delivery & Operational Leadership Provide strategic leadership for IT service delivery, ensuring services consistently meet agreed performance, availability, security and customer experience expectations. Establish and maintain effective IT Service Management practices across incident, problem, change, request, configuration and service-level management. Monitor service performance against agreed SLAs, KPIs and operational objectives, identifying trends and driving corrective action. Lead the continual improvement of IT services, using data, customer feedback and operational insight to improve service quality, efficiency and resilience. Establish effective service review and governance processes, providing clear reporting and recommendations to senior leadership. Ensure robust incident and problem management processes are in place, including effective escalation and root-cause analysis for major and recurring issues. Work closely with IT operations, infrastructure, applications and business teams to ensure effective end-to-end service ownership.   Service Transition & Change Own and oversee the transition of new and changed services into operational support, ensuring services are supportable, resilient and operationally ready before go-live. Ensure appropriate service acceptance criteria, support models, documentation, knowledge transfer and operational readiness activities are completed. Work closely with project and programme teams to embed service management requirements throughout the project lifecycle. Ensure lessons learned from project delivery and operational incidents are incorporated into future service and change processes. Balance the need for business transformation with operational stability and service continuity.   Project & Portfolio Delivery Provide leadership and oversight across a portfolio of IT and business transformation initiatives. Ensure projects are delivered against agreed scope, timescales, budgets, benefits and governance requirements. Maintain appropriate project governance, including stage gates, steering groups, RAID management and executive reporting. Develop and manage portfolio roadmaps aligned with organisational priorities and technology strategy. Provide senior-level challenge and support to Project Managers, ensuring delivery risks and dependencies are proactively managed. Support the prioritisation of investment and change activity based on business value, operational impact, risk and organisational capacity.   People, Suppliers & Stakeholders Lead, coach and develop a high-performing team across service and project delivery, supporting performance, capability development and succession planning. Build strong relationships with senior business and technology stakeholders, ensuring expectations, priorities and service performance are clearly understood. Manage relationships with key technology suppliers and third-party service providers, ensuring contractual commitments, service levels and performance expectations are achieved. Work with commercial teams on supplier selection, contract management, performance reviews and service improvement. Foster a culture of accountability, collaboration, continuous improvement, innovation and psychological safety.   Governance, Risk & Compliance Ensure IT services and technology change operate within appropriate governance, risk, regulatory and operational frameworks. Provide accurate, data-driven reporting on service performance, operational risks, project delivery, financial performance and strategic priorities. Identify and escalate significant service, technology and delivery risks, providing clear options and recommendations to senior stakeholders. Ensure appropriate financial management across service operations, suppliers and project delivery. Support the organisation in maintaining resilient and effective technology services within a regulated infrastructure environment.   Qualifications and Skills Required Significant senior-level experience in IT Service Delivery, IT Service Management, IT Operations or a closely related leadership role. Proven experience leading and developing high-performing IT service and/or technology delivery teams. Strong understanding of ITIL and modern IT Service Management principles. Experience managing IT services against SLAs, KPIs and customer-focused service outcomes. Strong knowledge of incident, problem, change, service-level and continual improvement management. Significant experience overseeing service transition and operational readiness for new and changed technology services. Experience managing complex IT and business transformation portfolios, programmes or projects. Strong understanding of project governance, planning, budgeting, financial management and risk management. Experience working across Agile and Waterfall delivery environments. Excellent stakeholder management, communication and influencing skills, with the ability to operate effectively at senior leadership level. Commercial awareness and experience managing technology suppliers and third-party service providers. Experience operating in complex, highly regulated or infrastructure-based environments.   Certifications ITIL Foundation certification (ITIL 4 preferred). PRINCE2 Practitioner certification or equivalent project delivery qualification.   Preferred ITIL Managing Professional or equivalent advanced ITSM qualification. Certified Scrum Master or equivalent Agile qualification. Experience leading service improvement or IT transformation programmes. Experience implementing or improving ITSM processes, tooling and service management operating models. Experience managing outsourced or multi-supplier technology environments.   Equal Opportunity Statement SPG Resourcing is an equal opportunities employer and is committed to fostering an inclusive workplace which values and benefits from the diversity of the workforce we hire. We offer reasonable accommodation at every stage of the application and interview process. If this opportunity is of interest, please get in touch using the details below.   jarret.devlin@spgresourcing.com 01617 110288

Senior Product Owner York | Hybrid | Global Insurance Firm   Company Overview Our organisation is a leading international business with a strong focus on using data, analytics and AI to improve decision-making, accelerate growth and increase operational efficiency.   Our data function is transforming data maturity across the organisation, empowering colleagues through improved data fluency and supporting a culture built around informed, customer-focused decisions. Commercial focus, continuous improvement and product-led delivery are central to our approach.   You’ll join a collaborative, multidisciplinary data function working across Data Engineering, Data Product, Data Management, Data Visualisation and Data Science, with a shared focus on delivering sustainable, high-quality data products aligned to organisational strategy, governance and business priorities.   Job Summary We’re looking for an experienced Data Product Owner / Technical Delivery Manager to play a key role in turning business priorities into valuable, deliverable data products.   This is a senior product-delivery position that sits at the intersection of business needs and technical execution. You’ll own and manage a prioritised backlog, coordinate multidisciplinary delivery teams and ensure initiatives move effectively from discovery through to release and live service.   Working closely with the Data Product Manager, you’ll make informed decisions around scope, priorities and sequencing while balancing business value, delivery risk, technical sustainability and operational readiness. Your work will directly contribute to improving the organisation’s data and reporting capabilities and creating long-term value from its data estate.   Key Responsibilities Own a prioritised, delivery-ready backlog that balances measurable value, user needs, risk, urgency, technical dependencies, capacity and long-term product sustainability. Translate business problems into clearly defined epics and user stories, including appropriate context, acceptance criteria, dependencies and expected outcomes. Maintain traceability from initial requests through delivery, acceptance and the realisation of business value. Lead end-to-end delivery planning and coordination across multidisciplinary teams, managing milestones, capacity, dependencies, risks, issues, blockers and scope changes. Provide clear and timely progress updates and decision information to relevant stakeholders. Coordinate technical discovery, design assurance, testing and release-readiness activities, ensuring appropriate technical and operational considerations are addressed. Ensure architecture, security, data governance, non-functional requirements, operational controls and residual risks are appropriately considered throughout delivery. Connect business priorities with technical execution, facilitating effective decisions and constructive challenge across business and technology teams. Manage delivery partners and dependencies to maintain momentum and accountability. Support the transition of new capabilities into business-as-usual operations and promote effective, collaborative and continuously improving ways of working.   Qualifications & Skills Product & Delivery Proven experience as a Product Owner, Technical Product Owner, Delivery Manager or in a comparable product-delivery role. Strong experience of backlog management, including writing effective user stories and acceptance criteria. Strong understanding of Agile delivery, estimation, planning, dependency management, risk management, testing, release readiness and transition into live service. Working knowledge of architecture, integrations, environments, security, data governance and non-functional requirements. Sufficient technical credibility to identify constraints, challenge assumptions and explain delivery trade-offs effectively.   Professional Skills Strong judgement and an outcome-focused approach, with the ability to make clear decisions around scope, priority and sequencing. Excellent communication, facilitation and stakeholder-management skills across business, technical and senior audiences. Confidence to constructively challenge, influence stakeholders and manage competing priorities. Highly organised and accountable, with the ability to lead complex delivery through ambiguity. Strong problem-solving skills and the ability to remove blockers while maintaining delivery momentum and quality. A continuous-improvement mindset and a collaborative approach to working across organisational boundaries.   Experience Demonstrable experience leading product delivery within a complex organisation, with accountability for backlog management, planning and end-to-end coordination from discovery through release and support. A track record of influencing across organisational boundaries and resolving complex dependencies. Experience balancing business value, delivery risk, technical sustainability and operational readiness.   Preferred Relevant accreditation in Product Ownership, Scrum, Agile delivery, project delivery or a similar discipline. Experience using Jira, Confluence or comparable collaboration and documentation tools. Knowledge of data platforms, reporting and analytics products. Understanding of data governance and data quality principles. Experience of supplier management or business-as-usual product operations.   Benefits We believe that a diverse and inclusive workforce creates stronger teams and better outcomes. We’re committed to creating an environment where people can do their best work while maintaining a healthy balance between professional and personal life.   Our hybrid working approach provides a balance of collaboration, structure and social interaction alongside the independence and flexibility of working remotely.   Performance-related bonus. Contributory pension. 25 days' annual leave, plus additional company days. A four-week paid sabbatical after every five years of service. Private medical cover for employees and their families. Opportunities for professional development and continuous learning. A flexible, collaborative and inclusive working environment. The opportunity to work on high-impact data, analytics and technology initiatives within a complex international organisation.   Equal Opportunity Statement We are an equal opportunities employer and are committed to fostering an inclusive workplace which values and benefits from the diversity of the workforce we hire. We offer reasonable accommodation at every stage of the application and interview process.   If this is of interest, please feel free to reach out using the details below.   jarret.devlin@spgresourcing.com 01617110288

Software Test Team Lead Manchester | Hybrid | Financial Services   Salary: Up to £70,000 + Benefits   Company Overview Our organisation is a specialist third-party administrator providing complex, high-quality administration services to clients across the public sector. We support organisations operating in highly regulated environments where accuracy, service quality and continuous improvement are essential.   With a strong focus on customer outcomes, innovation and operational excellence, we are committed to creating an environment where people can develop their expertise, collaborate effectively and make a meaningful contribution to the services we deliver.   Job Summary We are seeking an experienced Automation Test Lead to provide strategic direction, technical leadership and governance across our testing function.   As a senior member of the Change Team, you will be responsible for shaping and safeguarding the overall quality of testing, acting as the strategic lead for testing standards, methodologies, automation and continuous improvement. You will combine strategic thinking with hands-on technical expertise, ensuring testing is embedded throughout the delivery lifecycle rather than treated as a final-stage activity.   You will lead, coach and develop a team of testing professionals while working closely with project teams, technology specialists and external partners. Your contribution will be instrumental in improving testing efficiency, strengthening quality assurance and supporting the successful delivery of a significant change portfolio.   This is an excellent opportunity for an established Test Manager, Test Lead or QA professional looking to influence testing strategy at an organisational level while remaining technically engaged.   Key Responsibilities Test Strategy & Governance Establish and maintain the overall test strategy, defining appropriate methodologies, deliverables, tools and standards across the change portfolio. Champion a shift-left approach, embedding testing and quality principles early within the development and delivery lifecycle. Define and monitor testing KPIs, including defect density, test coverage and pass/fail rates, to provide clear visibility of release readiness. Maintain accountability for testing standards and governance across the organisation. Develop and implement a long-term test automation strategy and roadmap. Ensure testing capacity and delivery velocity effectively support the wider change roadmap. Align testing governance with the organisation's broader change and delivery governance framework.   Team Leadership & Development Lead, mentor and develop a team of testing professionals, creating a culture of continuous improvement, collaboration and innovation. Plan team capacity and allocate resources across projects according to technical capability, business priorities, development objectives and availability. Identify opportunities for skills development, training, professional qualifications and career progression. Support succession planning and the development of high-performing teams. Facilitate regular team meetings to identify impediments, share knowledge and maintain delivery momentum. Oversee peer reviews of test cases and deliverables to ensure technical quality and consistency.   Technical Leadership & Hands-On Testing Create and agree detailed test plans, estimates, scenarios and approaches for project test deliverables. Identify testing risks at an early stage and develop appropriate mitigation strategies. Provide hands-on technical expertise when required, particularly during complex or business-critical testing activities. Define and validate test environment and test data requirements, ensuring environments are correctly configured and ready for execution. Implement structured defect management processes and lead regular defect triage with project stakeholders. Conduct root cause analysis of recurring defects in collaboration with technology teams and external partners. Produce clear and accurate daily and weekly test reports covering progress, test outcomes, risks, defects and outstanding actions. Support the development and maintenance of automated testing frameworks to improve efficiency, consistency and test coverage. Stakeholder & Relationship Management Build strong, collaborative relationships with project delivery teams, technology teams, business stakeholders and external partners. Promote shared ownership of quality across project teams and encourage early engagement with testing. Ensure test plans, deliverables and quality objectives remain aligned with wider project plans and business priorities. Provide clear communication on complex testing issues, risks and recommended resolutions to both technical and non-technical stakeholders. Act as a champion for effective testing practices and continuous quality improvement across the organisation.   Qualifications & Skills Required Minimum of 5 years' experience in a QA, Test Lead, Test Manager or senior testing coordination role. At least 5 years' experience managing, mentoring and developing testing professionals, including performance management responsibilities. Proven experience in resource planning, capacity management and allocating testing resources across multiple projects and competing priorities. Experience leading teams through technology, process or organisational change. Knowledge of succession planning, skills development and building high-performing teams. Strong technical knowledge of DevOps, SQL for data validation and API testing. Experience building, implementing or maintaining test automation frameworks. Strong analytical skills, with the ability to interpret code and complex data and turn findings into actionable recommendations. Excellent written and verbal communication skills, with the ability to explain complex testing issues and resolutions to non-technical audiences. Strong organisational and time-management skills, with a focus on efficient delivery and prioritisation. A proactive, self-motivated approach, with the ability to work independently while contributing effectively as part of a wider team. Relevant testing certification, such as ISTQB Advanced Level (Test Manager) or ISTQB Foundation Level / Agile Tester Extension.   Preferred Experience within pension administration, financial services, the public sector or another highly regulated environment. Experience working with specialist pension administration platforms or comparable complex business systems. Strong experience using Azure DevOps for test management, defect tracking and CI/CD pipeline integration. Experience of website, digital or customer-facing application testing.   Equal Opportunity Statement We are an equal opportunities employer and are committed to fostering an inclusive workplace which values and benefits from the diversity of the workforce we hire. We offer reasonable accommodation at every stage of the application and interview process.   For Immediate consideration, please feel free to email a copy of your CV.   jarret.devlin@spgresourcing.com

Forward Deployed Scientist - Pharma Location: Hybrid, regular on-site in Oxford, UK Level: Senior / Principal The role We build AI systems that accelerate complex generics and 505(b)(2) formulation work, plus a causal engine that predicts what happens when you change a formulation, targeting PK and bioequivalence. It's a concierge model: clients never touch the platform, our scientists do. You own the client relationship, run real discovery, judge whether our output is actually useful, and turn field constraints into requirements engineers can build. What you'll do Own the client relationship. Find out what's been tried, what failed, what's frozen, what the process can really do, and what decision they need to make. Half the job is discovery, before any analysis starts. Gatekeep quality. Every deliverable goes through you first. Is it implementable at scale? Does it answer the real question? You can kill work before it ships. Push past the obvious. If the output reads like a literature review, send it back. Force the causal engine and the client's own data to actually earn their keep. Turn constraints into product requirements. "This process can't hit half a percent error" isn't small talk, it's a spec. Write it up so engineering can build against it. Bridge both sides. Technical enough to challenge the engineering team, credible enough that a client's development lead treats you as a peer. Compound every engagement. Log what was asked, what we found, what the data couldn't answer, and what the client valued. That becomes the evidence base. Who you are An industrial formulation / CMC scientist who has shipped real dosage forms and sat through a failed study. Core experience PhD in pharmaceutics, pharma sciences, chemical engineering (or a Master's with more industry time) 5+ years in generics, complex generics, or 505(b)(2) Hands-on with solid oral dosage forms: modified/extended release, coating, dissolution methods, scale-up You've had a BE study fail, diagnosed why, and fixed it. Worth more than any credential You know what a plant can and can't reliably do: batch variability, yield loss, where lab-scale ideas break Fluent in FDA guidance, IID limits, ICH stability, PK endpoints, BE stats You read the data yourself and you'll get fluent in our stack. No need to code AI fluency You already use AI tools daily, literature, data, protocols, reasoning, and have a real opinion on where they help and where they don't You've been burned by a confident wrong answer in your own field, and you can tell the story. That earned scepticism matters more than enthusiasm You interrogate AI output instead of accepting it When a tool falls short, your instinct is to fix it, not just complain Also required You find the constraint everyone else assumed away Generalist range: mechanism, stats, process, regulatory, without handing off to a specialist each time You can tell a development lead their approach is broken and they'll thank you for it Intellectual honesty: "this data can't answer that, here's the experiment that would," beats a confident answer that fits the slide Comfortable with ambiguity, five people, no playbook, real deadlines

Data Scientist  Location: Leeds (Hybrid) Salary: Up to £65,000 Role Purpose The Data Scientist supports data-driven decision making by developing statistical, machine learning, and advanced modelling solutions across structured and unstructured data. They want a Data Scientist who develops and deploys predictive models, advanced algorithms, and data products that identify patterns, forecast outcomes, and generate deeper insights to support strategic and business initiatives. Accountabilities and Responsibilities: •    Identify high-impact business use cases and design appropriate statistical or machine learning solutions. •    Build, validate, optimise, and deploy analytical and predictive models, including classification, regression, clustering, time-series analysis, and anomaly detection. •    Curate, prepare, and manage structured and unstructured datasets using appropriate data storage and processing approaches. •    Develop dashboards and visualisations where required to communicate analytical findings and model outputs effectively. •    Ensure data quality and integrity and contribute to relevant data governance practices. •    Collaborate with business and technical stakeholders to translate complex analytical outputs into clear, actionable recommendations. •    Identify opportunities for algorithmic optimisation, automation, and the application of emerging data science techniques. •    Contribute to the development and continuous improvement of data products, analytical methodologies, and modelling practices. •    The role has a distinct focus on advanced analytical and predictive solutions, differentiating it from Data Analyst positions that primarily focus on reporting, data exploration, business intelligence, and operational analytics. Knowledge, Experience & Technical Know-How: •    Strong analytical, statistical, mathematical, and problem-solving skills. •    Practical experience applying machine learning techniques and managing the model development lifecycle. •    Proficiency in SQL and data visualisation tools such as Power BI, Tableau, or equivalent platforms. •    Experience working with structured and unstructured data, cloud-based technologies, and scalable data processing environments. •    Ability to communicate complex statistical and modelling concepts clearly to non-technical audiences. •    Familiarity with enterprise business systems and cloud environments is desirable. •    Experience using Python, R, or other programming and statistical languages commonly used in data science. •    Understanding of data quality, governance, and responsible use of analytical models. •    Experience selecting appropriate modelling approaches and evaluating model performance against defined business objectives. •    These capabilities distinguish the Data Scientist role from Data Analyst positions, which generally have a stronger emphasis on data exploration, reporting, visualisation, and business intelligence. •    Professional experience in data science, statistical modelling, machine learning, predictive analytics, or a related field. •    Demonstrable experience developing analytical or predictive solutions that support business decision making. Equal Opportunity Statement SPG Resourcing is an equal opportunities employer and is committed to fostering an inclusive workplace which values and benefits from the diversity of the workforce we hire. We offer reasonable accommodation at every stage of the application and interview process.  

Data & Insights Manager Location: Leeds Working set up: Hybrid Salary: Competitive + benefits Job Overview A leading organisation is seeking a Data & Insights Manager to lead a high-performing Data & Insights team, delivering trusted data, actionable insight and scalable reporting across the organisation. Reporting to senior leadership, the successful candidate will combine people leadership, data strategy, delivery management and stakeholder engagement to ensure data and analytics capabilities support wider business objectives. The role will play a key part in shaping and delivering the organisation's Data & Digitalisation Strategy, while supporting the continued development of self-service BI, data governance and reporting capabilities. Key Responsibilities Lead, coach and develop a high-performing Data & Insights team, providing clear objectives, regular 1-to-1s, feedback and professional development. Own team workload planning, prioritisation and capacity management, ensuring resources are aligned to business priorities. Establish effective team ways of working, including planning, stand-ups, retrospectives and continuous improvement practices. Support the development and delivery of the organisation's Data & Digitalisation Strategy. Lead stakeholder engagement to ensure the data strategy reflects business requirements, industry developments and wider organisational priorities. Oversee the development and ongoing improvement of the organisation's data portal and associated data services. Translate stakeholder demand into clear roadmaps, priorities and delivery plans. Allocate work across Data Analysts and Reporting Analysts according to skills, capacity and business priorities. Monitor delivery performance, service quality, throughput and agreed SLAs, proactively resolving blockers and addressing aged requests. Build trusted relationships with business leaders, technology teams and operational stakeholders. Communicate data-driven insights, progress and business value to both technical and non-technical audiences. Promote data quality, master data management, governance and compliant data handling across the organisation. Drive the adoption of self-service analytics and reduce reliance on ad-hoc reporting through curated datasets and governed reporting models. Support GDPR and data protection activities, working closely with relevant data protection stakeholders. Engage with external partners, industry bodies and regulators where appropriate on data quality, open data and shared standards. Develop individual Professional Development Plans and support the ongoing growth of team capability. Skills & Experience Proven experience leading Data, Analytics, BI or Reporting teams, with a strong track record of coaching and developing colleagues. Strong stakeholder management skills and the ability to influence senior business and technical stakeholders. Experience managing competing priorities, workload planning and delivery within a changing environment. Strong understanding of enterprise BI, reporting and data platforms. Experience with technologies such as Power BI, Microsoft Power Platform, SAP BW, SAP Analytics Cloud or SAP Datasphere would be advantageous. Strong understanding of self-service analytics, governed semantic models and scalable reporting practices. Working knowledge of data governance, master data management and data quality principles. Experience developing or contributing to data, analytics or digital strategies. Ability to translate complex data and technology concepts into clear business outcomes. Strong data storytelling and communication skills. Familiarity with open/shared data principles and geospatial data would be beneficial. Understanding of GDPR and data protection requirements. Awareness of relevant industry, regulatory and data best-practice guidance. Ability to learn new technologies and platforms quickly, with a proactive approach to continuous improvement. Equal Opportunity Statement SPG Resourcing is an equal opportunities employer and is committed to fostering an inclusive workplace which values and benefits from the diversity of the workforce we hire. We offer reasonable accommodation at every stage of the application and interview process.

IT Project Manager Location: Leeds or Sunderland Working Pattern: Hybrid – typically 3 days per week in the office Employment Type: Permanent About the Role We are looking for an experienced IT Project Manager to join an established project delivery team and take ownership of a range of medium-sized technology projects. This is an ideal opportunity for a Project Manager who has already delivered IT projects and is looking to work across a varied technology landscape. You don't need to be a technical specialist, but you should have a genuine interest in technology and be comfortable working with technical teams, suppliers and stakeholders. Projects will typically fall across infrastructure, applications, cybersecurity, networks, and data & insight, giving you exposure to a broad range of technology initiatives. You will generally manage around two projects at any one time, depending on their size and complexity, with project values ranging from approximately £100k to £3m. Key Responsibilities Take ownership of projects from initiation through to successful delivery. Manage project plans, milestones, dependencies, risks and issues. Track and forecast project budgets and costs. Produce regular project reporting and maintain accurate project documentation. Manage suppliers, delivery partners and contracts. Develop business cases and supporting project documentation. Facilitate technical design discussions and decision-making. Lead and facilitate Steering Groups, ensuring effective decision-making and governance. Manage project stage gates and escalate risks and issues where appropriate. Support procurement activity and commercial processes. Work closely with technical teams, business stakeholders and external suppliers. Ensure projects deliver against agreed objectives, timescales, budgets and governance requirements. Identify and manage opportunities to reduce risk through project delivery. What We're Looking For We're looking for someone with: Proven experience delivering IT projects within a structured project environment. Experience delivering projects of moderate size and complexity. Experience working with either Agile, Waterfall or both methodologies. Strong project governance, risk and issue management experience. Experience managing suppliers and contracts. Strong budget and commercial management skills. Experience presenting to and facilitating Steering Groups. Strong stakeholder management skills across technical and non-technical audiences. The ability to communicate effectively with suppliers and delivery partners. A genuine interest in technology and a willingness to understand technical concepts. Strong organisation, attention to detail and problem-solving skills. A collaborative, personable approach and the ability to work effectively within a relatively small team. You don't need to come from a specific industry – strong IT project management experience from any sector will be considered. Qualifications Essential: PRINCE2 Foundation Desirable: PRINCE2 Practitioner MSP Foundation ITIL Foundation Certified Scrum Master Why Join? This is a great opportunity to join a growing project delivery function where you'll have exposure to a broad range of technology projects rather than being limited to one area. You'll work alongside experienced Project Managers and technical teams, with opportunities to broaden your knowledge across infrastructure, applications, cybersecurity, networking and data. The organisation also places a strong emphasis on development, collaboration and building a well-rounded project delivery team.  

AI Architect Location: Staford, London, Bolton Working set up: Hybrid Salary: Competitive + bonus + benefits Job Overview A leading organisation is seeking an AI Solution Architect to help shape and scale intelligent automation, language models and agentic AI capabilities across customer-facing products and internal operations. Reporting to the Head of Data and AI Architecture, the successful candidate will define architecture patterns, guide delivery teams and collaborate with security, engineering, product and data stakeholders to deliver intelligent assistants, copilots and AI-enabled workflow solutions. Key Responsibilities Define and evolve the enterprise GenAI and broader AI architecture roadmap, aligned with the organisation's data and digital strategy. Lead the architectural design of an enterprise AI Trust and Controls layer, addressing risks including sensitive data leakage, toxicity, prompt injection, jailbreaking, insecure outputs, model security and other AI-related risks. Identify opportunities to innovate and reimagine business processes through AI. Lead the design of enterprise solutions embedding LLMs, GenAI and agentic automation into business workflows. Work with integration teams to deliver solutions across structured and unstructured data sources and enterprise platforms. Provide technical leadership to pilot and delivery teams, developing reference architectures and scaling successful AI patterns. Partner with security, platform and engineering teams to establish LLMOps and AgenticOps capabilities, including prompt lifecycle management, model observability, caching, evaluation and governance. Contribute to the development of an AI-ready architecture practice through knowledge sharing, standards and reference implementations. Support integration with messaging platforms, event-driven architectures and API ecosystems. Working Arrangements The organisation operates a hybrid working model, with employees expected to spend a proportion of their working time away from home. Flexible working arrangements may be available depending on the role and team. Skills & Experience Strong understanding of the AI Governance, AI Operations and AI Observability landscape, including relevant solutions, frameworks and libraries. Experience designing preventative, detective and corrective controls for AI-related risks. Working knowledge of AI governance frameworks such as ISO/IEC 42001, NIST AI RMF or the EU AI Act, alongside responsible AI principles. Strong solution architecture experience within enterprise environments, ideally spanning cloud, data, API integration and business applications. Experience designing or integrating AI-powered solutions into operational workflows, including intelligent assistants, generative search, summarisation, automation platforms and AI-enabled user interfaces. Knowledge of GenAI application patterns including RAG, agent-based architectures and orchestration frameworks. Experience with messaging technologies, event-driven architectures and API-driven integration. Strong stakeholder engagement skills, with the ability to work across architecture, security, business, engineering and data teams. Experience with Azure-native AI and cloud services or equivalent hyperscaler technologies, including services for LLMs, machine learning, enterprise search, data platforms and productivity ecosystems. Understanding of secure architectural patterns for accessing structured and unstructured data, including data classification, masking and policy enforcement Equal Opportunity Statement SPG Resourcing is an equal opportunities employer and is committed to fostering an inclusive workplace which values and benefits from the diversity of the workforce we hire. We offer reasonable accommodation at every stage of the application and interview process.  

Data Analyst Salary: £40,000.00 to £45,000.00 Location: Leeds Hybrid - On site 2 days a week. We are representing a dynamic business in the professional services space that is looking to appoint a Data Analyst to strengthen reporting, insight generation, and decision support across the organisation. This Data Analyst opportunity offers the chance to work on meaningful data-driven activity where accuracy, clarity, and commercial thinking all matter. The successful candidate will help turn raw information into actionable insight, supporting better decisions and contributing to the wider performance of the company. Responsibilities Analyse data sets to identify trends, patterns, and opportunities for improvement Produce clear reporting and insight to support day to day and strategic decision-making Interpret business information and present findings in a concise, commercially useful way Maintain accuracy and consistency across reporting outputs and data handling processes Work collaboratively with stakeholders to understand information needs and priorities Support the development of data led recommendations that improve business performance Experience & Skills Previous experience in a Data Analyst or similar data-focused role Strong analytical ability with a structured approach to reviewing information Confidence working with reporting outputs and interpreting data for non-technical audiences High attention to detail and a commitment to data accuracy Ability to communicate findings clearly and professionally Comfortable working in a technical environment where insight and quality matter Ability to manage priorities and deliver within agreed deadlines Strong experience with SAP What We Offer: Competitive annual salary dependent on experience Annual company & performance-based bonus Contributory pension scheme (up to 10% employer contributions) Life Assurance (up to 10 x annual salary) Private medical cover 25 days annual leave plus Bank Holidays Flexible benefits and salary sacrifice options... from discounts on a variety of UK attractions, gym membership, restaurant discounts, experience days...and much more! An array of fantastic family friendly policies such as 6 weeks' paternity leave (for eligible employees) and 6 months' full pay for employees on maternity leave (for eligible employees), as well as shared parental leave and many more! Equal Opportunity Statement:  SPG Resourcing is an equal opportunities employer and is committed to fostering an inclusive workplace which values and benefits from the diversity of the workforce we hire. We offer reasonable accommodation at every stage of the application and interview process.  If this is of interest, please feel free to reach out using the details below. Harry Panther Harry.panther@spgresourcing.com 07888 867 657  

Job Title: AI Product Manager Location: York Hybrid - On site 1 day a week. We’re representing a leading specialist in the insurance sector in the search for a AI Product Manager who can help drive AI adoption, strengthen digital capability, and turn innovation into measurable business impact. This is a high-visibility opportunity to shape how AI is embedded into day-to-day workflows across the business. The successful candidate will work closely with stakeholders, champions, sponsors, and enablement leads to build momentum, support behavioural change, and deliver practical guidance that makes AI accessible and useful across teams. Responsibilities Manage AI adoption and culture across business units under the direction of the Data Culture and AI Lead. Design and deliver role-based enablement that supports practical AI usage across different teams. Lead manager activation activity to help embed new expectations for performance and AI usage. Manage, develop, and maintain AI Hub content, playbooks, prompts, workflow guidance, and role-relevant training materials. Build and manage a network of AI champions, business unit sponsors, and enablement leads. Support integration of AI into performance management activity. Track adoption using measurable indicators and report progress clearly. Identify and escalate blockers to adoption through the CoE and governance processes. Experience & Skills Strong experience in learning and development, technical education, organisational change, or digital/technology adoption programmes. Working knowledge of Microsoft Copilot and digital workplace tools. Proven ability to engage and influence stakeholders across business units. Ability to translate AI capability into practical, role-specific guidance. Experience delivering large-scale enablement or transformation activity. Experience with AI, data, or analytics in a business environment is desirable. Experience working with performance management or behavioural change frameworks is desirable. Experience supporting leadership and manager capability development is desirable. Degree in Education, Technology, Business, Psychology, or related discipline, or degree in Law with relevant change, training, or technology adoption experience. Relevant certifications in Learning & Development, Instructional Design, change management, or AI/data literacy are desirable. What We Offer:   Annual company & performance-based bonus Contributory pension scheme (up to 10% employer contributions) Private medical cover 28 days annual leave plus Bank Holidays Additional Right to work in the UK required Equal opportunities employer Equal Opportunity Statement:  SPG Resourcing is an equal opportunities employer and is committed to fostering an inclusive workplace which values and benefits from the diversity of the workforce we hire. We offer reasonable accommodation at every stage of the application and interview process.   

Threat Intelligence Analyst Salary: £50,000.00 to £60,000.00 Location: York Hybrid - On site 1 day a week. A dynamic opportunity has arisen within the cyber security industry for a Threat Intelligence Analyst to join a forward-thinking team focused on identifying, understanding, and responding to emerging threats. This role offers the chance to contribute to high-impact intelligence work that directly supports proactive security decision-making. The successful applicant will play a key part in strengthening visibility of risk, turning data into actionable insight, and helping the business stay ahead of evolving threat activity. Responsibilities Monitor and analyse threat activity to identify relevant risks and emerging patterns. Produce clear, actionable intelligence that supports informed security decisions. Assess threat information and translate findings into concise reporting for stakeholders. Support the broader security function by contributing to situational awareness and risk understanding. Work collaboratively to help shape responses to active and developing threats. Experience & Skills Experience in threat intelligence, cyber security, or a closely related technical discipline. Strong analytical skills with the ability to interpret complex information accurately. Knowledge of threat analysis methods and intelligence-led security practices. Ability to communicate technical findings clearly to both technical and non-technical audiences. Comfortable working with detail, recognising patterns, and drawing practical conclusions from data. Exposure to security operations, incident response, or similar environments would be advantageous. Benefits Competitive annual salary dependent on experience Annual company & performance-based bonus Contributory pension scheme (up to 12% employer contributions) Life Assurance (up to 10 x annual salary) Private medical cover 28 days annual leave plus Bank Holidays Opportunity to buy up to 5 extra days leave or sell up to 5 days leave Wellbeing services & resources Additional Right to work in the UK required Equal opportunities employer Equal Opportunity Statement:  SPG Resourcing is an equal opportunities employer and is committed to fostering an inclusive workplace which values and benefits from the diversity of the workforce we hire. We offer reasonable accommodation at every stage of the application and interview process.   

SOC Manager Salary: £80,000.00 to £100,000.00 Location: York Hybrid - On site 1 day a week. A leading international insurance business is seeking a SOC Manager to strengthen cyber defence, improve detection capability, and support incident response within a high-performing Cyber Fusion Centre. This is a fantastic opportunity to shape proactive security operations, drive continuous improvement across detection use cases, and play a key part in protecting critical business assets. The SOC Manager will work alongside specialist security leaders and project teams, helping to mature the company’s monitoring, response, and resilience capabilities. Responsibilities Direct and guide the Blue Team in daily operations, aligning activity with business security objectives and threat intelligence. Oversee continuous monitoring of networks and systems for security breaches or anomalies. Design and maintain incident response plans to support effective mitigation of security events. Coordinate Blue Team exercises to strengthen detection and response readiness. Allocate and manage resources to support performance and address skill or capacity gaps. Perform gap analysis across detection use cases and identify new data sources for SIEM onboarding. Use actionable threat intelligence to develop new detection use cases and improve SIEM capability. Support operational resilience across technology, people, and process for detection and response. Lead initial response to security incidents, including escalation and post-incident lessons learned. Coach and mentor team members to encourage continuous learning and professional development. Develop and maintain security operations policies, processes, and playbooks. Provide regular reporting on security status, incidents, and KRIs to senior stakeholders. Experience & Skills 6+ years’ experience in a security operations team, including around 2 years in a management role. Demonstrable experience leading response to security incidents and breaches. Strong understanding of defensive security strategies and cyber incident response processes. Excellent working knowledge of SIEM tools and technologies. Excellent working knowledge of EDR and XDR technologies. Excellent working knowledge of firewalls and other network security appliances. Good understanding of forensics technologies and processes. Strong problem solving and analytical skills, with the ability to make sound decisions under pressure. Excellent leadership, management, communication, and interpersonal skills. Advanced cyber certifications such as CISSP, CISM, GCIH, and GPEN are desirable. BSc or MSc in Cybersecurity is highly desirable. Benefits : Competitive annual salary dependent on experience Annual company & performance-based bonus Contributory pension scheme (up to 12% employer contributions) Life Assurance (up to 10 x annual salary) Private medical cover 28 days annual leave plus Bank Holidays Opportunity to buy up to 5 extra days leave or sell up to 5 days leave Wellbeing services & resources Additional Right to work in the UK required Equal opportunities employer Equal Opportunity Statement:  SPG Resourcing is an equal opportunities employer and is committed to fostering an inclusive workplace which values and benefits from the diversity of the workforce we hire. We offer reasonable accommodation at every stage of the application and interview process.   

Machine Learning Engineer Location: Flexible (Hybrid) Working set up: Hybrid Salary: Competitive + bonus + benefits   SPG are working on behalf of an established financial services organisation investing heavily in its data science and AI capabilities. As part of an expanding team, the business is delivering a range of greenfield machine learning and generative AI initiatives designed to solve real-world business challenges and enhance customer outcomes. This is an exciting opportunity to join a collaborative data function where you'll help shape the organisation's machine learning engineering capability while building scalable, production-ready AI solutions.   The Role Working as part of a cross-functional Data Science team, the Machine Learning Engineer will play a key role in taking machine learning models from research through to production. You'll work closely with Data Scientists, Data Engineers and Software Engineers to build robust, scalable ML solutions while helping define best practices, tooling and automation across the full machine learning lifecycle. This role is ideal for someone with a passion for software engineering, cloud technologies and productionising machine learning solutions within an enterprise environment.   Key responsibilities Design, develop and enhance the organisation's machine learning engineering capability and Data Science platform Build and automate end-to-end machine learning workflows using CI/CD and Infrastructure as Code Collaborate with Data Scientists throughout the model development and deployment lifecycle Work closely with engineering teams and business stakeholders to deliver production-ready AI solutions Develop high-quality, maintainable Python code following software engineering best practices Contribute to technical design decisions including model deployment strategies and solution architecture Support the deployment and operationalisation of both traditional machine learning and Generative AI solutions Help establish engineering standards, tooling and best practices as the function continues to grow   Required skills and experience Commercial experience in Machine Learning Engineering or Data Science within a production environment Strong Python development skills with a solid understanding of software engineering best practices Experience deploying machine learning solutions into cloud-native production environments Experience with containerisation technologies such as Docker and orchestration platforms including Kubernetes Knowledge of modern MLOps practices including CI/CD, version control (Git) and infrastructure automation Experience working with cloud platforms and modern data ecosystems (Azure and Databricks experience beneficial) Strong understanding of machine learning principles and model deployment processes Excellent communication skills with the ability to explain technical concepts to non-technical stakeholders Experience working with Agile delivery methodologies and tools such as Azure DevOps and Jira   Desirable experience Experience working with Large Language Models (LLMs), Generative AI or Agentic AI solutions in a commercial environment Experience deploying machine learning models within regulated industries such as financial services or insurance Exposure to enterprise-scale MLOps and cloud infrastructure Experience contributing to platform architecture and engineering best practices

Business Systems Analyst   Location: York or London Salary: Up to £65,000 + 10% Bonus   Company Overview SPG Resourcing is recruiting on behalf of a leading international organisation operating within a highly regulated and technology-driven industry. Our client is recognised for its commitment to innovation, operational excellence, and continuous improvement, delivering specialist services to customers across global markets.   The organisation promotes a collaborative and inclusive culture where employees are encouraged to challenge conventional thinking, embrace new technologies, and contribute to meaningful business transformation. This is an excellent opportunity to join a forward-thinking business investing heavily in its finance systems and digital capabilities.   Job Summary We are seeking an experienced Business Systems Analyst with strong Oracle Cloud expertise to join a high-performing Finance Systems team. This role is ideal for someone who enjoys solving complex business challenges, working closely with Finance and Technology teams, and driving continuous improvement across finance applications.   You will act as the link between business requirements and technical solutions, supporting both business-as-usual operations and strategic transformation projects. This position offers the opportunity to influence the future of finance systems while contributing to large-scale change initiatives and process improvements across the organisation.   Key Responsibilities Act as the liaison between Finance stakeholders and Technology teams to gather, analyse and translate business requirements. Support both business-as-usual activities and project delivery across Finance systems. Conduct impact assessments for Oracle Cloud changes and coordinate system releases. Manage finance system governance, change controls and data management processes. Deliver critical month-end and year-end finance system activities. Provide ongoing support to Financial Control, Reporting and Financial Planning & Analysis teams. Identify opportunities to improve finance processes, controls and system performance. Create and maintain support documentation, process guides and change records. Support continuous improvement initiatives through automation and best practice adoption. Provide subject matter expertise across wider business transformation programmes. Build effective working relationships with internal stakeholders, project teams and third-party suppliers.   Qualifications and Skills Required Strong functional knowledge of Oracle Cloud Finance applications. Experience supporting Finance systems within a Finance function or similar environment. Experience with one or more of the following Oracle products: Enterprise Data Management (EDMCS) Oracle ERP Cloud Enterprise Planning (EPBCS) Profitability & Cost Management (PCMCS) Experience using Microsoft Power BI to analyse and report on large datasets. Good understanding of financial processes and accounting principles. Strong analytical and problem-solving skills. Excellent communication and stakeholder management abilities. Ability to manage multiple priorities within a fast-paced environment. Strong attention to detail and a well-developed controls mindset.   Preferred Experience supporting finance transformation or systems implementation projects. Knowledge of finance process automation and reporting tools. Previous experience working alongside IT delivery teams and external implementation partners.   Reporting Line This position reports to the Head of Finance Business Applications and works closely with: Finance teams Technology teams Business stakeholders Internal project teams External implementation partners and consultants   Benefits Our client offers a comprehensive benefits package which may include: Competitive salary Annual performance-related bonus Generous pension contribution Private healthcare Life assurance Generous annual leave entitlement Hybrid and flexible working arrangements Employee wellbeing programmes Professional development and training opportunities Career progression within a growing international organisation   Application Process To apply, please submit your CV through the appropriate recruitment portal. Applications will be reviewed as they are received, and shortlisted candidates will be contacted to arrange the next stage of the recruitment process. Please ensure your application clearly demonstrates your experience with Oracle Cloud Finance applications and relevant Finance Systems experience.   Equal Opportunities SPG Resourcing is an equal opportunities employer and is committed to fostering an inclusive workplace which values and benefits from the diversity of the workforce we hire. We offer reasonable accommodation at every stage of the application and interview process.   jarret.devlin@spgresourcing.com 01617110288

HR & Data Insights & Systems Analyst Salary: £45,000.00 to £50,000.00 Location: Manchester Hybrid - On site 1 day a week. Drive technical HR data excellence and analytics in this leading professional services organisation as a HR & Data Insights & Systems Analyst. Looking for a technical role that blends data analysis, HR reporting, and systems management? This company is seeking an experienced professional to ensure HR systems and data reporting are optimised, accurate, and strategically aligned. Work with cutting-edge tools like Power BI and Workday, collaborating across HR, IT, and business stakeholders to deliver actionable insights and support process improvements. Responsibilities Maintain and audit HR data integrity across reporting outputs and systems, troubleshooting inconsistencies. Support the administration, maintenance, and ongoing enhancement of HR systems and associated processes. Analyse HR data to identify trends, issues, and opportunities for insight-driven recommendations. Develop, maintain, and enhance HR dashboards, management reports, and system-based reporting tools. Work collaboratively to understand reporting and system requirements and deliver effective data support. Contribute to HR projects, system implementations, upgrades, and enhancements. Create and maintain databases, Power BI reports, and system outputs to enable continuous improvement and timely updates. Stay up to date with the latest HR analytics best practices and advise on enhancements to reporting and analytics methodologies. Experience & Skills Proficient in data visualisation using Power BI. Hands-on experience with statistical modelling and descriptive statistics (advantageous). Advanced MS Excel skills; ability to manipulate large data sets with strong analytical capability. Knowledge of HR analytics, HR systems, or a similar capacity with an understanding of HR processes, data, and systems. Confident with HR information systems, databases, and reporting tools (including Power BI and system administration/configuration). Ability to design, maintain, and improve dashboards and system reporting tools. Experience interpreting complex data and translating insights into actionable outcomes. Excellent communication and presentation skills, able to convey technical detail in an accessible format. Experience with Workday HR system is essential, alongside a strong interest in broadening HR systems knowledge. Customer-focused and able to deliver high levels of service in a fast-paced environment with conflicting priorities. Strong attention to detail and a commitment to high-quality outputs. Comfort working independently or collaboratively, and delivering to strict deadlines. What We Offer:   Competitive annual salary dependent on experience Annual company & performance-based bonus Contributory pension scheme (up to 12% employer contributions) Life Assurance (up to 10 x annual salary) Private medical cover 28 days annual leave plus Bank Holidays Opportunity to buy up to 5 extra days leave or sell up to 5 days leave Wellbeing services & resources Additional Right to work in the UK required Equal opportunities employer Equal Opportunity Statement:  SPG Resourcing is an equal opportunities employer and is committed to fostering an inclusive workplace which values and benefits from the diversity of the workforce we hire. We offer reasonable accommodation at every stage of the application and interview process.  If this is of interest, please feel free to reach out using the details below.  

Data Ecosystem Product Manager   Location: London/York Working set up: Hybrid (2-3 days onsite) Salary: Competitive + bonus + benefits   SPG are working on behalf of an insurance company who are invested in building a modern, scalable data ecosystem to support with analytics, AI and integration across the business. With a strong market presence and a focus on innovation, the business are looking to establish a Data Mesh-based architecture to enable domain driven data ownership.   This is a key opportunity to play a central role in shaping and delivering this ecosystem as part of a growing global data function.   The Role Reporting into the Data leadership team, the Data Ecosystem Product Manager will define and deliver the strategy and roadmap for the organisation’s enterprise data platform. You will lead the development of a cloud-based data ecosystem, ensuring it meets current and future analytics, AI, and integration requirements. Working across engineering, architecture, and business teams, you will act as the central point of coordination—driving alignment, prioritisation, and successful delivery of platform capabilities.   Key responsibilities Define and communicate the vision, strategy, and roadmap for the data ecosystem Own and prioritise the product backlog based on business value and technical requirements Collaborate with stakeholders across data, engineering, architecture, and business teams Lead cross-functional delivery across ideation, design, development, testing, and deployment Ensure the platform remains current by managing vendor upgrades and technology evolution Promote adoption of modern data practices and support a strong data engineering culture Embed data governance, security, and compliance into platform design Monitor platform performance and drive continuous optimisation using data insights Establish and support a value-driven FinOps approach to manage cloud costs Work with third-party vendors and partners to support delivery and innovation   Required skills and experience Proven experience as a Product Manager delivering data platforms or data products Strong experience with cloud-based data ecosystems (GCP Preferred) Hands on knowledge of tools such as BigQuery, Dataflow, Pub/Sub Experience with Databricks and/or Snowflake Strong understanding of modern data architectures (e.g. Data Mesh, event-driven systems, APIs) Experience working in Agile delivery environments with backlog ownership Ability to translate complex technical concepts into business value Strong stakeholder management and communication skills   Desirable experience Exposure to AI / Machine Learning within data platforms Experience in regulated or data-sensitive environments Knowledge of data governance and risk frameworks Experience supporting large-scale platform transformations   Location This role can be York or London based with hybrid working of 2-3 days a week in the office.

Delivery Consultant Location: Leeds Desk: Data or Change & Transformation or Software   As we continue to grow, we’re looking for an ambitious, driven Delivery Consultant to join the team.   This is a genuine opportunity for someone who thrives in a fast-paced environment, enjoys building strong relationships, and wants to play a key role in delivering top talent across the tech market. If you’ve got experience in recruitment delivery, candidate management, and you’re ready for your next step we’d love to speak.   About SPG Resourcing We’re a specialist technology recruitment partner working with organisations delivering real, business-critical technology change across the UK. We focus on Data, Change & Transformation, and Software partnering with clients where hiring genuinely matters. No volume. No churn.   With a strong foundation already in Leeds, we’re now hiring experienced Delivery Consultant who want autonomy, ownership and the backing to build a desk properly.   The Opportunity You’ll focus on the delivery side of the recruitment process: identifying, engaging and managing high-quality candidates across your specialist market.   Sourcing and engaging top tech talent Managing candidates through the full recruitment process Building strong candidate relationships and networks Working closely with consultants to deliver on live roles Ensuring a high-quality candidate experience   About You Experience in recruitment delivery, resourcing or candidate management (at least 2 years+) Ideally exposure to the tech market (not essential) Strong communication and relationship-building skills Organised, proactive and able to manage multiple roles Driven, ambitious and keen to develop your career Able to commute to Leeds office   Why Us Our MD stays close to the action not sat on the sidelines, but present in the business, active in the market. He knows exactly what it takes to win and build a desk today, because he chooses to, not because he has to!   You won’t be managed from a distance you’ll be working directly with someone who understands the reality of the market, adds value and leads from the front.   It’s a big part of why people join and stay leadership is visible, accessible and genuinely invested in your success. If you want to grow, you’ll be supported to do it properly, with clear progression and real opportunities as the business scales.   We’re building this with intent: Quality over headcount: we hire carefully and invest in people for the long term High standards, always: performance matters and we don’t dilute that Substance over noise: relationships, credibility and delivery come first Real investment in you: clear progression, proper support and the space to build something meaningful   You’ll be part of a high-performing, collaborative, straight-talking environment where expectations are clear and standards are high without the noise.   What You’ll Get Uncapped earning potential: competitive base + uncapped commission + performance rewards Strong benefits package: private medical (incl. dental & optical), wellbeing support, pension Clear career progression: structured development and promotion based on performance A proper working environment: collaborative, high-performing, built on trust Flexibility that works: hybrid model + birthday leave + Christmas shutdown   Additional Benefits £2,000 annual training & development budget 25 days holiday + bank holidays Enhanced family-friendly policies maternity, paternity, sick etc) Incentives: lunch clubs, trips away, team building days long term service benefits etc   How to Apply Send your CV to hr@spgresourcing.com or reach out to our Head of HR & Operations Kinga Liu for an informal chat.   Equal Opportunities SPG Resourcing is an equal opportunities employer committed to creating an inclusive workplace. We provide reasonable adjustments throughout the recruitment process where required.   *Please note, we are unable to offer visa sponsorship for this role.

Senior / Principal Technology Recruiter Location: Manchester Desk: Data or Change & Transformation or Software   Build your desk. Shape your market. Be part of something that’s actually going somewhere.     About SPG Resourcing We’re a specialist technology recruitment partner working with organisations delivering real, business-critical technology change across the UK. We focus on Data, Change & Transformation, and Software partnering with clients where hiring genuinely matters. No volume. No churn.   With a strong foundation already in Manchester, we’re now hiring experienced recruiters who want autonomy, ownership and the backing to build a desk properly.   The Opportunity You’ll run your desk like a business owning your market, building relationships and delivering consistent billings through quality.   Build and win new business within your vertical Develop strong, credible client and candidate relationships Own and grow your specialist market Manage your pipeline, forecasting and desk performance Deliver high-value, high-quality placements   About You 4+ years’ experience in 360 UK Tech recruitment Strong billing or consistent performance track record Commercial, relationship-led approach Able to commute to Manchester (3 days per week)   Why Us Our MD stays close to the action not sat on the sidelines, but present in the business, active in the market. He knows exactly what it takes to win and build a desk today, because he chooses to, not because he has to!   You won’t be managed from a distance you’ll be working directly with someone who understands the reality of the market, adds value and leads from the front.   It’s a big part of why people join and stay leadership is visible, accessible and genuinely invested in your success. If you want to grow, you’ll be supported to do it properly, with clear progression and real opportunities as the business scales.   We’re building this with intent: Quality over headcount: we hire carefully and invest in people for the long term High standards, always: performance matters and we don’t dilute that Substance over noise: relationships, credibility and delivery come first Real investment in you: clear progression, proper support and the space to build something meaningful   You’ll be part of a high-performing, collaborative, straight-talking environment where expectations are clear and standards are high without the noise.   What You’ll Get Uncapped earning potential: competitive base + uncapped commission + performance rewards Strong benefits package: private medical (incl. dental & optical), wellbeing support, pension Clear career progression: structured development and promotion based on performance A proper working environment: collaborative, high-performing, built on trust Flexibility that works: hybrid model + birthday leave + Christmas shutdown   Additional Benefits £2,000 annual training & development budget 25 days holiday + bank holidays Enhanced family-friendly policies maternity, paternity, sick etc) Incentives: lunch clubs, trips away, team building days long term service benefits etc   How to Apply Send your CV to hr@spgresourcing.com or reach out to our Head of HR & Operations Kinga Liu for an informal chat.   Equal Opportunities SPG Resourcing is an equal opportunities employer committed to creating an inclusive workplace. We provide reasonable adjustments throughout the recruitment process where required.   *Please note, we are unable to offer visa sponsorship for this role.

Lead Machine Learning Engineer - Global Insurance Firm London | Hybrid   Company Overview Our client is a global organisation operating within the insurance and financial services sector, recognised for its commitment to innovation and the strategic use of data and technology. The business is investing heavily in modern data platforms, artificial intelligence, and advanced analytics to drive smarter decision-making and deliver value across its operations.   With a strong focus on collaboration and continuous improvement, the organisation brings together multidisciplinary teams spanning data science, engineering, and technology to build scalable, production-grade solutions. Employees are encouraged to contribute new ideas, develop their technical capabilities, and play an active role in shaping the organisation’s data-driven future.   Job Summary Our client is seeking a Lead Machine Learning Engineer to shape and scale its machine learning engineering capability while ensuring the successful deployment and operation of machine learning solutions in production environments.   This leadership role combines technical expertise with people management responsibilities, overseeing a team of Machine Learning Engineers while driving best practices across machine learning deployment, infrastructure, and MLOps. You will play a critical role in building scalable platforms, establishing engineering standards, and enabling teams to deliver robust, production-ready machine learning systems.   Working closely with data science teams, platform engineers, and senior stakeholders, you will ensure the organisation can efficiently move machine learning models from experimentation to reliable production systems. This role offers the opportunity to influence technical strategy, mentor engineers, and contribute to the development of enterprise-scale machine learning capabilities.   Key Responsibilities People Leadership Manage and develop Machine Learning Engineers, including setting objectives, conducting performance reviews, and supporting career progression. Foster a strong engineering culture that emphasises collaboration, quality, and operational excellence. Provide mentorship and coaching to support both technical and professional development.   Strategic Capability Development Define and evolve machine learning engineering strategy in alignment with organisational objectives. Establish engineering standards for machine learning deployment, infrastructure, and operational practices. Drive capability development across teams, including upskilling in MLOps, cloud platforms, and software engineering best practices.   Technical Enablement & Platform Ownership Lead the ownership and evolution of the organisation’s MLOps platform, ensuring reliability, scalability, and security. Enable scalable and reusable machine learning delivery across multiple business initiatives. Lead technical exploration activities such as proof-of-concepts and architectural investigations.   Governance & Standards Ensure machine learning systems comply with security, architecture, and operational standards. Establish guardrails for production machine learning systems, including monitoring, retraining, deployment, and lifecycle management.   Collaboration & Influence Partner closely with data science teams to ensure effective transition from experimentation to production deployment. Collaborate with platform and engineering teams to integrate machine learning solutions into enterprise systems. Represent machine learning engineering within strategic technology discussions and influence platform and tooling decisions.   Qualifications and Skills Required Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or another quantitative discipline, or equivalent practical experience. Significant experience as a Senior or Lead Machine Learning Engineer delivering machine learning systems in production environments. Strong understanding of machine learning and data science concepts, including supervised and unsupervised learning, feature engineering, and model evaluation techniques. Demonstrated experience leading or mentoring engineering teams, setting standards, and developing technical capabilities. Proven experience owning or managing MLOps platforms or critical machine learning infrastructure. Experience designing and implementing frameworks to evaluate the commercial impact of machine learning systems in production. Experience collaborating with data scientists throughout the end-to-end machine learning lifecycle. Strong communication skills and ability to work within Agile, cross-functional teams.   Preferred Experience working within insurance, financial services, or other regulated industries. Experience implementing enterprise-scale machine learning platforms and governance frameworks. Exposure to advanced monitoring, incident management, and reliability practices for machine learning services.   Key Technical Skills Python within a machine learning engineering context, including object-oriented programming, testing, and design patterns Experience deploying, monitoring, and maintaining machine learning models in production systems Cloud platforms such as AWS, Azure, or Google Cloud Containerised deployments using Docker or similar technologies MLOps practices, including CI/CD pipelines and Git-based development workflows Infrastructure as Code tools such as Terraform Experience with API operations, monitoring, logging, and reliability management Strong working knowledge of SQL and data integration across application ecosystems   Benefits Competitive salary and performance-based incentives Pension contributions Generous annual leave allowance Flexible and hybrid working arrangements Professional development and leadership growth opportunities Collaborative and innovative technical environment Opportunity to shape enterprise-scale machine learning engineering capabilities   Equal Opportunity Statement SPG Resourcing is an equal opportunities employer and is committed to fostering an inclusive workplace which values and benefits from the diversity of the workforce we hire. We offer reasonable accommodation at every stage of the application and interview process.