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Salesforce Product Manager Location: Sheffield Working set up: 1-2 days a month in office required for stakeholder meeting.  Salary: £75,000 – £90,000 About the Company We are partnering with a leading customer-focused organisation undergoing significant digital transformation and investment in customer experience technology. The business operates at scale across the UK, delivering essential services to millions of customers while prioritising innovation, sustainability, and service excellence. With a strong commitment to modern technology platforms and continuous improvement, the organisation is investing heavily in Salesforce capabilities to enhance operational efficiency, customer engagement, and service delivery. This is an exciting opportunity to join a collaborative and forward-thinking environment where technology and customer experience sit at the heart of strategic growth. The Opportunity We are seeking an experienced and commercially minded Salesforce Product Manager to lead the strategic development and optimisation of a Salesforce Service Cloud environment. In this role, you will own the Salesforce product roadmap, working closely with business stakeholders, technical teams, and third-party partners to deliver scalable, user-focused solutions that drive measurable business outcomes. You will play a pivotal role in shaping the future of the Salesforce platform, ensuring enhancements align with organisational objectives while improving both customer and operational experiences. This position offers the opportunity to influence digital transformation initiatives, mentor Salesforce administrators, and contribute to the long-term Salesforce strategy across multiple business functions. Key Responsibilities Develop and manage the Salesforce product roadmap aligned to business priorities and stakeholder requirements Identify, prioritise, and deliver platform enhancements that improve efficiency, customer satisfaction, and commercial performance Collaborate with cross-functional teams to ensure product objectives align with wider organisational goals Define product requirements, user stories, and acceptance criteria for new functionality and enhancements Conduct market and competitor analysis to identify opportunities, trends, and innovation within the Salesforce ecosystem Work closely with development teams to ensure successful delivery of projects on time and within budget Maintain comprehensive product documentation including release notes, user guidance, and technical specifications Analyse user feedback, platform usage data, and operational performance to drive continuous improvement Support go-to-market planning and stakeholder engagement for new platform capabilities and releases Build strong relationships with internal stakeholders and external partners to gather feedback and shape product direction Coach and mentor Salesforce administrators while supporting wider capability development across teams Manage third-party suppliers and ensure delivery standards and expectations are consistently achieved Required Skills & Experience Essential Proven experience as a Product Manager, Product Owner, or similar user-focused Salesforce leadership role Strong expertise within Salesforce Service Cloud Broad understanding of the wider Salesforce ecosystem, including Sales Cloud and Marketing Cloud Experience developing and managing product roadmaps and translating them into prioritised delivery backlogs Ability to collaborate effectively with technical teams and influence senior stakeholders Excellent communication, stakeholder management, and relationship-building skills Experience driving strategic outcomes through technology-led change Strong analytical and problem-solving capabilities Experience mentoring or coaching Salesforce administrators and managing third-party suppliers Preferred Salesforce certifications Experience working within large-scale or customer service-led organisations Exposure to agile delivery methodologies Experience supporting digital transformation or customer experience initiatives Location & Working Pattern Hybrid working model with flexibility available Modern city-centre office location within easy access to major transport links Occasional travel to other UK locations may be required Full-time role, Monday to Friday, with occasional out-of-hours support as needed Benefits Competitive salary and performance-related benefits Generous annual leave allowance plus bank holidays Pension scheme Employee discounts and retail savings platform Employee share and savings schemes Employee Assistance Programme providing confidential wellbeing support Flexible and hybrid working opportunities Ongoing professional development and career progression opportunities Inclusive and collaborative working culture focused on employee growth and wellbeing Application Process To apply for this opportunity, please submit your CV along with a brief cover letter outlining your relevant experience and interest in the role. Suitable applicants will be contacted regarding the next stages of the interview process. SPG Resourcing encourages early applications as the role may close once sufficient applications have been received. 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 Engineer (Microsoft Fabric) – 5 Month Contract Location: Hybrid / Remote Contract Type: Contract / Outside IR35 Duration: Initial 5 Months Overview We are seeking an experienced Data Engineer with strong Microsoft Fabric expertise to support a major data transformation and reporting migration programme. The successful candidate will play a key role in designing and implementing a modern data architecture, integrating multiple business-critical systems, and supporting the migration of legacy reporting into Microsoft Fabric. This is an initial 5-month engagement working alongside interim leadership and technical stakeholders to establish scalable foundations for future analytics and reporting capabilities. Key Responsibilities Design and implement scalable data solutions within Microsoft Fabric. Support the migration of existing reporting platforms and data assets into Fabric. Build and manage ingestion pipelines to move source data into the Bronze layer. Transform, cleanse, and normalise data into the Silver layer to support reporting and analytics use cases. Integrate multiple source systems including: Spider database platforms Salesforce CX1 telephony systems Additional operational and third-party platforms Work closely with interim architecture leadership to implement the target data architecture. Support the replacement and redevelopment of existing reports and dashboards within the Fabric ecosystem. Ensure best practices across data modelling, governance, performance, and scalability. Collaborate with business stakeholders to understand reporting requirements and deliver fit-for-purpose data solutions. Required Skills & Experience Proven experience as a Data Engineer working with Microsoft Fabric. Strong understanding of Medallion Architecture (Bronze, Silver, Gold layers). Experience building ETL / ELT pipelines and integrating multiple enterprise systems. Strong SQL and data transformation skills. Experience working with cloud-based data platforms and modern analytics tooling. Previous experience migrating legacy reporting environments into modern data platforms. Ability to work autonomously in a fast-paced transformation environment. Strong stakeholder engagement and communication skills. Desirable Experience Experience with telephony or contact centre data platforms. Exposure to interim or greenfield data transformation projects. Knowledge of Power BI and reporting migration best practices. Experience working in IR35 contract environments.

Product Owner Location: Leeds Working set up: Hybrid (2-3 days in the office) Salary: £55,000 – £65,000   SPG Resourcing is currently partnering with a leading pensions organisation to recruit a DC Product Owner to support the continuous development and optimisation of key digital products and platforms within a complex operational environment. This is an exciting opportunity to join a business focused on delivering high-quality services through modern, scalable systems. The role will play a key part in ensuring product enhancements deliver measurable business value while improving operational efficiency and customer outcomes.   The Role Reporting to the DC Product Manager, the DC Product Owner will be responsible for end-to-end business analysis and delivery of product backlog items. You will work closely with cross-functional teams and stakeholders to define requirements, improve processes, and deliver solutions that align with business objectives. You will play a critical role in bridging the gap between business needs and technical delivery, ensuring that product changes are effectively prioritised, developed, tested, and deployed.   Key Responsibilities Own and deliver detailed business analysis across the DC product backlog Elicit, analyse, and document functional and non-functional requirements Evaluate business and system data to support decision-making and identify improvement opportunities Map and redesign business processes (“as-is” and “to-be”) to drive efficiency Collaborate with cross-functional teams to design and implement effective solutions Support testing activities to ensure solutions meet defined requirements Act as a key liaison between business stakeholders, technical teams, and third-party suppliers Support the prioritisation and refinement of the product backlog Produce clear documentation, including release notes and user training materials Lead business readiness activities to support successful deployments Assist with root cause analysis of critical system issues Promote and embed best practices within the product management framework   Required Skills & Experience 2-3 years experience as a Product Owner, Business Analyst, or similar role Strong analytical and problem-solving skills Experience working within Agile delivery environments Ability to work across complex business processes at a detailed level Proven experience identifying process improvements and gaining stakeholder buy-in Experience working with third-party suppliers and offshore teams Strong stakeholder management and communication skills Experience supporting end-to-end project delivery   Desirable Experience Experience within regulated or data-sensitive environments Understanding of data governance and risk management principles Experience supporting large-scale system or platform implementations Exposure to operational or customer-focused platforms   Location This role offers hybrid working, with two to three days per week in the office to support collaboration and stakeholder engagement. 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.

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 Full Stack Engineer Near Manchester / Hybrid This isn’t just another Lead Engineer role. You’ll take end-to-end ownership of major digital solutions, influencing everything from architecture and design through to delivery and continuous improvement. You’ll work in multidisciplinary teams alongside product, design, and data specialists to build scalable, secure, and user-focused platforms. You’ll also play a key role in technical strategy, mentoring engineers, and driving engineering best practice across projects. What You’ll Be Doing Leading the design and delivery of large-scale, complex digital services Owning architecture decisions across cloud-native, microservices or serverless environments Working closely with stakeholders to shape technical direction and delivery strategy Providing hands-on leadership and mentoring engineering teams Driving quality through modern engineering practices (CI/CD, TDD, Agile) Supporting estimation, planning, and technical risk management on projects What We’re Looking For Strong experience leading full stack engineering teams in complex environments Background in .NET, C#, Java or Python, alongside modern JavaScript frameworks Proven track record delivering scalable cloud-based solutions (AWS, Azure, etc.) Solid understanding of modern architecture patterns (microservices, serverless) Experience working in Agile delivery environments Ability to engage with stakeholders and translate technical concepts into clear direction Passion for mentoring and developing other engineers 💡 Bonus if you’ve worked in a consultancy or on public sector / regulated industry projects Why This Role? Work on meaningful projects with real-world impact High level of autonomy and technical ownership Access to a broad, evolving tech stack - no being boxed into one technology Strong focus on career development, progression, and continuous learning Collaborative, supportive environment with a genuine engineering-first culture Package & Benefits Competitive salary + performance-related rewards Hybrid working model Private healthcare & wellbeing support Enhanced parental leave Generous holiday allowance Pension & additional flexible benefits If you’re looking for a role where you can lead from the front, shape solutions, and work on genuinely impactful systems, this is well worth a conversation. Jack.Turner@spgresourcing.com

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.

Job Title: Machine Learning Engineering Manager Location: London OR York (Hybrid) Salary: Competitive + Benefits Type: Permanent   About the Company: We are a growing, data-driven organisation investing significantly in our data and analytics capabilities as part of a major strategic transformation. With a strong focus on leveraging advanced analytics and machine learning to drive business performance, we are building scalable, production-grade ML platforms and maturing our data science practice across the enterprise.   The Role: This is a hands-on leadership role for a Machine Learning Engineering Manager who combines strong technical expertise with the ability to lead and develop a team. You will lead a newly formed ML Engineering team, building and maintaining the infrastructure and platforms required to deploy, monitor, and scale machine learning models in production. Working closely with Data Scientists, Platform Engineers, and cross-functional stakeholders, you will bridge the gap between model development and enterprise deployment, ensuring robust, reliable, and high-impact ML solutions. This is an exciting opportunity to shape and build the ML engineering function from the ground up, rather than stepping into a fully established team.   Key Responsibilities: Lead and line manage the ML Engineering team, including recruitment, onboarding, and capability development Build and maintain scalable ML infrastructure and deployment pipelines on cloud platforms (GCP Vertex AI essential, Azure desirable) Design, develop and own Python APIs (Flask/FastAPI) and services to serve machine learning models in real-time and batch environments Own the end-to-end MLOps lifecycle – from data ingestion through to model deployment, monitoring, and automation Translate business requirements into technical solution designs and deliver them from proof-of-concept to production Influence architectural decisions with a focus on scalability, resiliency, and cost-effectiveness Coach and mentor ML Engineers to raise technical maturity and best practices across the team Collaborate with Data Scientists, Data Engineers, and Platform teams to integrate ML solutions into business applications Implement CI/CD pipelines, Infrastructure as Code, monitoring, and model registry processes Drive operational excellence, code quality, and continuous improvement of ML platforms and processes Support the Head of Data Engineering on portfolio delivery, capacity planning, and value stream management   Skills & Experience Required: 5+ years’ experience as a Machine Learning Engineer with strong production deployment background Hands-on expertise with GCP (Vertex AI) and cloud-based ML model deployment and monitoring Solid Python development skills (Flask/FastAPI, OOP, unit testing, TDD) Strong understanding of MLOps practices and the challenges of moving models from research to production Experience with Infrastructure as Code (Terraform or similar), Docker, CI/CD, and Git workflows Good knowledge of core data science concepts (neural networks, random forests, etc.) and ability to review/interpret models Proven experience leading or mentoring technical teams Excellent stakeholder management and communication skills Ability to operate in a fast-paced, Agile environment and drive change Experience in financial services or a regulated industry is advantageous but not essential   If this sounds like something you are interested in, please get in contact. Thomas.deakin@spgresourcing.com 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.

Job Title: Head of Data & BI Location: York (4 days in-office) Salary: £80,000 – £85,000 + Benefits Type: Permanent About the Company We are a growing, data-driven business investing heavily in our data capabilities as part of an ambitious 5-year growth strategy. With a strong focus on customer data and commercial performance, we are evolving our data platform and building the foundations for scalable, insight-led decision making. The Role This is a hands-on leadership role for a Head of Data & BI who combines strong technical capability with the ability to influence at a senior level. You will play a key role in shaping and delivering our data strategy, leading from the front on engineering and BI while working closely with stakeholders across the business to unlock value from data. This is an opportunity to build, improve, and put your stamp on the data function, rather than inherit a fully formed team. Key Responsibilities Lead the transition to a modern data platform (Microsoft Fabric) Design and deliver scalable data solutions aligned to business needs Own and improve the CRM, CDP, and customer data landscape Stay hands-on with data engineering, modelling, and solution delivery Set standards for data quality, governance, and output Partner with senior stakeholders to drive revenue and performance Translate complex requirements into clear, actionable solutions Proactively manage and influence stakeholders across the business Skills & Experience Required Strong background in data engineering and BI Solid experience with Python, SQL, and Azure Exposure to or experience with Microsoft Fabric (or similar modern platforms) Experience working with CRM and customer data systems Proven ability to operate in a hands-on technical leadership role Strong stakeholder management and communication skills Ability to challenge, influence, and drive change If this sounds like something you are interested in, please get in contact: thomas.deakin@spgresourcing.com 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.  

Senior Dynamics 365 Architect We’re looking for a Senior Microsoft Dynamics 365 Architect to join a major enterprise CRM transformation programme within a global organisation undergoing significant IT modernisation. This role sits at the heart of a high-visibility Dynamics 365 Customer Service programme, where the focus is on building a modern CRM capability, integrating omni-channel communications, and expanding the platform across the organisation. The programme is already live for part of the business, and the next phase will focus on new business capabilities, telephony integration, and broader CRM expansion. This is an opportunity for an experienced architect to provide technical direction, reduce reliance on external delivery partners, and help shape the long-term architecture of the platform. The Role As the Dynamics 365 Architect, you will provide architectural leadership across the CRM platform, working closely with engineering teams, architects, and delivery leadership. The role requires someone who can balance strategic architecture with practical technical engagement, guiding developers, reviewing solutions, and ensuring the platform is scalable and aligned with best practice. You will also act as a technical mentor and trusted advisor within the team while helping establish long-term ownership of the platform. Key Responsibilities Own the architecture and technical direction of the Dynamics 365 Customer Service platform Provide architectural oversight across Dynamics 365, Power Platform, Azure, and DevOps environments Work closely with engineering teams to ensure solutions are well designed and scalable Guide developers and delivery teams through technical decision making and design reviews Help reduce reliance on external delivery partners by providing internal technical leadership Support upcoming omni-channel and telephony capabilities within Dynamics 365 Customer Service Collaborate with architects, engineers, and stakeholders across distributed teams What We’re Looking For Extensive experience as a Microsoft Dynamics 365 Architect Deep knowledge of Dynamics 365 Customer Service Strong experience across Power Platform, Azure, and DevOps Proven ability to define and guide CRM architecture within complex enterprise environments Experience working with engineering teams and providing technical mentorship Strong understanding of DevOps pipelines, CI/CD, and cloud architecture Background working in regulated environments or financial services is highly desirable This role requires someone with a strong technical career history, not just Dynamics certifications someone who understands the engineering challenges behind the platform and can guide teams effectively. Project Context Large-scale enterprise CRM transformation programme Dynamics 365 Customer Service platform already live in parts of the business Upcoming work includes new business functionality and telephony integration Significant investment in modernising the technology landscape This is a high-impact role within a transformation programme that is gaining strong visibility across the organisation. 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 Scientist - Global Insurance Firm London | York | 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.   Global Insurance Firm | London | York | Hybrid

Data Scientist - Global Insurance Firm London | York | 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.   Global Insurance Firm | London | York | Hybrid

Data Scientist - Global Insurance Firm London | York | 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.

Principal Data Scientist - Global Insurance Firm London | Hybrid   Company Overview Our client is a global organisation operating within the insurance and financial services sector, recognised for its strategic investment in data, analytics, and emerging technologies. The business leverages advanced analytics and artificial intelligence to enhance decision-making, optimise operational processes, and deliver innovative solutions across its global operations. With a strong commitment to building a data-driven culture, the organisation brings together multidisciplinary teams of data scientists, engineers, and technology specialists to develop scalable analytics solutions that drive measurable business impact. Employees are encouraged to collaborate across functions, contribute innovative ideas, and continuously develop their technical and leadership capabilities.   Job Summary Our client is seeking a Principal Data Scientist to lead the delivery of complex, high-impact data science initiatives across multiple business functions. In this role, you will provide technical leadership and strategic direction for advanced analytics and machine learning solutions that support key business priorities.   You will be responsible for guiding the end-to-end development of data science projects, from translating complex business challenges into technical solutions through to delivering scalable models and analytical frameworks. In addition to hands-on technical work, you will play a key role in mentoring data scientists, setting technical standards, and strengthening the organisation’s analytics capability.   Working closely with cross-functional teams across engineering, data, and business functions, you will help ensure data science solutions deliver measurable value and are effectively embedded into operational processes.   Key Responsibilities Apply industry best practices, emerging methodologies, and research-driven approaches to develop data science solutions that support business innovation. Provide technical leadership across the end-to-end lifecycle of complex data science initiatives, from problem definition through to deployment and evaluation. Translate complex business challenges into structured analytical and modelling approaches. Work with large and diverse datasets, including both internal and third-party data sources. Develop and implement advanced machine learning and statistical modelling techniques to generate actionable insights and deliver measurable business impact. Provide mentorship and technical guidance to junior and mid-level data scientists, promoting best practices and continuous skill development. Collaborate closely with data engineers, analysts, and business stakeholders to ensure successful delivery and adoption of analytical solutions. Contribute to the development of analytical frameworks that measure the commercial impact and efficiency of data science solutions. Support the growth of the organisation’s data and analytics community by sharing knowledge and promoting advanced analytical capabilities.   Required Bachelor’s or Master’s degree in a quantitative discipline such as Computer Science, Mathematics, Statistics, Physics, Engineering, or a related field, or equivalent practical experience. Extensive professional experience in data science or advanced analytics, including a proven track record delivering complex and impactful data science solutions. Strong experience applying machine learning, statistical modelling, and advanced analytical techniques to solve business problems. Demonstrated ability to lead technical delivery of complex analytics initiatives from concept through to production deployment. Experience mentoring or supporting the technical development of data scientists. Strong understanding of Agile development methodologies and software engineering best practices relevant to data science. Excellent communication skills with the ability to translate complex analytical findings into clear, actionable insights for both technical and non-technical stakeholders. Experience collaborating with cross-functional teams including engineering, product, and business stakeholders.   Preferred Experience applying data science within financial services or insurance environments. Experience implementing frameworks to measure the commercial impact of machine learning and analytics initiatives. Familiarity with deploying scalable machine learning models in cloud or production environments.   Key Technical Skills Advanced proficiency in Python (and optionally R) for data science and analytics Strong SQL capabilities for data extraction and manipulation Deep expertise across a range of machine learning and statistical modelling techniques, including classical models, ensemble methods, and deep learning Experience with Generative AI, Large Language Models (LLMs), Natural Language Processing (NLP), or Computer Vision applications Strong understanding of statistics, experimental design, and model evaluation techniques Familiarity with cloud platforms and scalable data environments   Impact and Achievements Success in this role will be measured by your ability to: Lead the development and deployment of high-impact machine learning and AI-driven solutions that generate measurable commercial value. Translate complex analytical insights into tangible improvements across business processes and performance metrics. Elevate the technical maturity and capability of the data science function by introducing industry-leading methodologies, tools, and best practices. Support the growth and development of the wider analytics team through mentorship and technical leadership.   Benefits Competitive salary and performance-related 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-level data science strategy and 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.

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.  

SAP Security & Authorisations Consultant Location: Leeds (Hybrid – 1 day per week onsite) Salary: £60,000 – £65,000 + benefits Type: Permanent A leading UK organisation is seeking an experienced SAP Security & Authorisations Consultant to join their in-house SAP team. This is a key hands-on role responsible for owning and supporting SAP Security and Authorisations across a complex S/4HANA landscape. You’ll work closely with Functional Leads, SAP specialists, and audit teams to ensure robust access controls, compliance, and operational stability across the SAP environment. The Role This is a hands-on position focused on the day-to-day ownership of SAP Security and Authorisations, including role management, access provisioning, and audit support. Key responsibilities include: Managing SAP roles and authorisations across the S/4HANA environment Supporting user access requests, role assignments, and authorisation changes Maintaining and enhancing SAP Fiori security and authorisations Supporting audit and compliance activities, including external audit requirements Collaborating with functional teams to ensure appropriate access controls Supporting ongoing improvements to SAP Security processes and governance Assisting with security across integrated SAP systems including BW You’ll play a central role in ensuring SAP Security is well managed, compliant, and aligned with business needs. Required Experience Strong hands-on SAP Security & Authorisations experience Proven experience supporting SAP S/4HANA environments Experience with SAP Fiori authorisations (essential) Experience creating and maintaining roles using PFCG Experience supporting audit and compliance requirements Strong stakeholder engagement and collaboration skills Desirable Experience SAP BW Security experience SAP Analytics Cloud exposure Experience working in large or complex SAP environments Utilities or regulated industry experience The Team & Environment You’ll join an established SAP team in a collaborative, supportive environment with a strong focus on knowledge sharing and continuous improvement. The organisation offers hybrid working, flexible arrangements, and long-term career stability. If you're an experienced SAP Security professional looking to take ownership in a hands-on S/4HANA environment, we’d welcome your application. 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.