Harnham - Data & Analytics Recruitment

Director of Streaming Product & Growth Leeds - Hybrid (3 days a week in the office) Up to £160,000 + performance bonus This is an exceptional chance to shape the future of a major digital streaming platform at a critical stage of its development. You'll take full ownership of a rapidly scaling subscription product-driving commercial performance, leading digital transformation, and influencing strategic direction across the organisation. The Role As Director of Streaming Product & Growth, you will serve as the commercial lead for the digital subscription offering. Your responsibilities will include: Defining the strategic vision and market position for the streaming subscription proposition. Leading the commercial roadmap across pricing, packaging, go-to-market strategy, and customer lifecycle. Steering revenue growth and enhancing P&L performance through clear strategy and effective commercial levers. Owning end-to-end growth initiatives across acquisition, retention, churn reduction, and lifetime value optimisation. Collaborating closely with Product, Marketing, Data, Finance, Audience Insight, and Editorial teams to drive digital-first growth. Harnessing data, experimentation, and customer behaviour insights to inform strategic decisions. Influencing senior stakeholders and bringing multiple teams together behind unified growth objectives. Your Skills & Experience Excellent stakeholder management skills, with the authority and presence to influence at leadership and executive level. Strong commercial acumen with experience shaping revenue-generating strategies. Background in digital subscription, streaming, or direct-to-consumer business models. Expertise in churn reduction, forecasting, revenue modelling, and subscription dynamics. Broad digital growth capability across performance marketing, product, analytics, and customer journey optimisation. What's On Offer Salary up to £160,000 plus performance-based bonus. Hybrid working model with an engaging office culture in Leeds. A high-impact role in a flagship digital transformation programme. The chance to influence strategy at scale and shape the future of a leading UK streaming service. How to Apply If you would like to register your interest, apply below or send your CV

MLOps Platform Manager, Palantir Fully Remote 6 Month Contract Outside IR35 £550 to £650 per day Overview A leading organisation is looking for an MLOps Platform Manager to take ownership of its Palantir and production ML platform environment, covering Foundry, AIP and wider MLOps services . The role will focus on ensuring the platform is reliable, secure, well-governed and scalable, while helping data science and engineering teams move models and data products into production in a structured and repeatable way. The Role This is a delivery-focused platform ownership role, sitting across: Palantir platform operations MLOps enablement Service management Security, governance and compliance Supplier and vendor management You will be responsible for the day-to-day running and improvement of Palantir Foundry, AIP and related MLOps capabilities . The role requires someone who can combine technical platform understanding with operational discipline, stakeholder management and a strong service-owner mindset. Key Responsibilities Platform Operations Own the day-to-day operation of Palantir Foundry, AIP and MLOps services Ensure strong platform availability, performance, stability and user experience Manage incidents, problems, changes, requests and escalation processes Manage platform releases, upgrades and vendor changes Maintain runbooks, support playbooks and platform documentation MLOps & Model Lifecycle Build and improve standard MLOps patterns across training, validation, deployment and monitoring Support data science and engineering teams in operationalising models end-to-end Improve CI/CD, environment management and automated testing for ML workloads Implement model monitoring across drift, performance, data quality and latency Support model lifecycle governance, including versioning, approvals, traceability and reproducibility Security, Risk & Compliance Manage platform access, authentication, authorisation and segregation of duties Work with InfoSec, compliance and governance teams to evidence controls for data and AI services Support audits across platform operations, change history, access reviews and model lifecycle controls Maintain platform controls across logging, retention, encryption and privacy Roadmap, Cost & Vendor Management Own the platform roadmap and improvement backlog Prioritise improvements based on business value, risk, cost and developer experience Manage capacity, usage monitoring and cost optimisation Manage relationships with Palantir, delivery partners and other platform suppliers Define standards, reference architectures and reusable patterns for data products and ML workloads Requirements Strong experience managing data platforms, analytics platforms or MLOps capabilities in an enterprise environment Hands-on experience operating Palantir Foundry, AIP or a comparable modern data platform Strong understanding of production MLOps, including CI/CD, model deployment, monitoring and lifecycle governance Experience supporting production data products or ML models at scale Strong service management experience across incident, change, problem and request processes Experience working with security, risk, governance or compliance teams Strong stakeholder management across data engineering, data science, InfoSec and architecture teams Experience managing suppliers, vendors or delivery partners Nice to Have Cloud experience across Azure, AWS or GCP ITIL or formal service management experience Experience in regulated environments Cloud cost optimisation experience Model risk, responsible AI or AI governance experience Key Skills Palantir, Foundry, AIP, MLOps, Platform Management, Data Platform, Model Deployment, CI/CD, Model Monitoring, Data Governance, Access Controls, Service Management, Incident Management, Change Management, Release Management, Vendor Management, Responsible AI, Cloud, DevOps To apply, please email:

I'm hiring multiple senior hires to join a growing AI and Digital Transformation consulting practice within a premium consultancy. This team has recently secured significant investment and is scaling quickly, with multiple hires across Lead and Principal level . This is a role for people who want to own and deliver real AI transformation , not just advise on it. The company A high-end consultancy working across defence, consumer, and public sector clients , known for delivering complex, high-impact programmes. They've built a strong reputation on delivering measurable commercial outcomes , not just strategy - and are now investing heavily in expanding their AI capability to stay ahead of competitors. Where you fit You'll sit within the Digital / AI Consulting practice , working directly with clients to: Identify opportunities for AI and advanced analytics Design and deliver solutions end-to-end Embed those solutions into real business operations This is a hands-on leadership role - combining delivery, client engagement, and mentorship of other consultants. What you'll be doing Lead the design and delivery of AI and data science solutions (LLMs, NLP, ML, etc.) Work directly with senior client stakeholders to shape and deliver solutions Build and deploy end-to-end AI products , not just prototypes Apply technologies such as LLMs, RAG systems, and agentic workflows to real business problems Translate technical outputs into clear commercial value and measurable impact Mentor and develop consultants, helping build capability across the team Help shape the consultancy's AI offering and go-to-market approach Example work Using LLMs to improve decision-making and workflow automation in complex environments Delivering predictive analytics in healthcare to improve outcomes and efficiency Building AI-driven optimisation tools in retail to improve pricing and margins Supporting large-scale programmes across defence and public infrastructure What you bring Core requirements Strong data science / machine learning background Experience delivering AI / GenAI solutions (LLMs, NLP, etc.) Proven ability to take solutions from concept through to real-world deployment Experience leading projects, workstreams, or teams Strong stakeholder engagement skills - client-facing and commercially focused Evidence of measurable impact (revenue uplift, cost savings, efficiency gains, etc.) Nice to have Consulting experience (highly preferred) Experience across regulated or complex sectors (defence, public sector, retail, etc.) Familiarity with modern stacks (Python, cloud, Databricks, APIs, etc.) Experience mentoring or leading junior team members Why this role Shape and scale a growing AI consulting capability Work on complex, high-impact projects across multiple industries Strong blend of technical delivery, commercial impact, and leadership High visibility internally and with clients Opportunity to progress to partner level over time Working style London base (or nearest office) Hybrid working, with regular client travel 3 days total per week Flexible, project-led environment Interview process Online assessment (incl. logical / aptitude test) Informal first conversation (director-level, including short presentation) Final stage onsite in London (presentation + discussion)

Lead Analyst, Pricing and Promotions London - hybrid 2x a week Up to £60,000 This is a high impact role within a newly formed pricing and promotions analytics team, created to meet growing demand for smarter, data led commercial decision making. You will sit at the centre of pricing strategy, combining hands on analytics with senior stakeholder influence and leadership responsibility. The Company They are a large, complex UK consumer business operating at significant scale, with millions of customers and high volumes of transactional data. The organisation is investing heavily in pricing capability, advanced analytics and AI driven commercial insight. This team has strong visibility across the business and works closely with senior commercial leaders on high profile initiatives. The Role You will play a key role in shaping pricing and promotions decisions across the business, balancing long term strategic projects with fast paced commercial requests. Lead pricing and promotions analysis to support business wide commercial decisions Analyse competitor pricing and recommend data led responses Deliver clear, impactful pricing performance insight to senior stakeholders Support pricing resets, optimisation initiatives and test and learn activity Apply advanced analytics including regression modelling and incrementality analysis Translate commercial questions into robust analytical approaches and recommendations Contribute to the development of AI enabled pricing analytics capability Work closely with pricing leadership and SLT facing teams Use SQL and Python to interrogate data and generate commercial insight Line manage and develop a junior analyst Your Skills and Experience Strong commercial and pricing analytics experience within fast paced environments Deep expertise in SQL and solid working knowledge of Python Experience with pricing analytics, pricing elasticity or promotional optimisation Confident working with senior stakeholders and influencing decision making Comfortable operating in visible teams where priorities can shift quickly What They Offer Salary up to £60,000 Hybrid working with one day per week in London Comprehensive benefits package Clear opportunity to shape a growing pricing analytics function and progress your career How to Apply Apply now to learn more about this opportunity and discuss how your experience could make an impact.

The Company This market-leading real estate investment business is a major player across the UK and Europe, managing a high-value portfolio of logistics and industrial assets. With a strong focus on leasing, operational efficiency, and long-term asset performance, data is at the heart of how they optimise their portfolio. As they continue to scale, they are investing heavily in modern data platforms (Databricks + Microsoft Fabric) to unlock deeper insight across leasing, asset performance, and financial reporting. The Role They are looking for a Data Modeller to play a critical role in transforming a currently fragmented and complex data landscape into a scalable, structured, and reusable data foundation. This is a highly business-facing role, ideal for someone who understands real estate or property data and can translate that into clear, structured data models. You will define and implement logical and physical data models, helping to create a standardised "cookie-cutter" modelling approach that can be reused across multiple use cases, from core financial reporting to operational leasing insights. A key part of the role will involve working with complex, legacy datasets and bringing structure and consistency, ensuring data is properly categorised (for example leasing costs and asset-level data) and usable across the business. Key Responsibilities Design and develop conceptual, logical, and physical data models Create a standardised and reusable modelling framework across the business Translate real estate and leasing business requirements into structured data models Work closely with data engineers to enable scalable implementation Partner with stakeholders to define how data should be modelled and consumed Support use cases across financial reporting, leasing analysis, and asset performance Bring clarity and structure to legacy and complex datasets Contribute to building a centralised data modelling function Your Skills & Experience Strong experience in data modelling (logical and physical) Proven ability to work with complex or legacy datasets Strong SQL-based modelling experience Experience working in Azure environments (Databricks and Fabric preferred) Ability to engage with both technical and business stakeholders Experience creating reusable, scalable data models Desirable Background in real estate, property, or other asset-heavy industries Experience working with leasing data, asset management, or property portfolios Understanding of financial data in a real estate context Why Apply Work with a high-profile real estate investment business Play a key role in shaping a modern, centralised data function Influence how data is structured across a large-scale asset portfolio Join a highly collaborative and communicative team Opportunity to leave a lasting impact through reusable data architecture Interview Process 45-minute initial discussion If you're a Data Modeller with real estate experience looking to step into a role where you can genuinely shape data foundations, this is a strong opportunity to make an impact.

Pricing Analyst London-based £400 per day (Inside IR35) 2-Month Contract Hybrid - 1 day per week in office This short-term contract offers the opportunity to step into a live pricing programme at a critical execution stage. You will help maintain momentum, take ownership of established models, and support the delivery of a defined pricing strategy through to end-state. The Company They are a well-established, consumer-facing organisation operating within the personalised products and e-commerce space. The business is highly data-driven and fast-paced, with pricing central to commercial performance and decision-making. Operating across multiple brands within a broader group structure, teams are used to working collaboratively with senior stakeholders in a complex environment. The Role and Deliverables Take ownership of existing pricing models and analysis, picking up work mid-stream Operationalise a defined customer value-based pricing strategy Support day-to-day delivery to ensure progress through a key execution phase Validate, assess and report on the impact of pricing tests and performance Partner closely with a Senior Pricing Analyst and Central Planning to deliver clear outcomes Develop practical tools and frameworks to measure impact and enable informed pivots Your Skills & Experience Strong experience working as a pricing or commercial analyst in a fast-paced environment Advanced Excel capability, with confidence interrogating complex pricing models Strong SQL skills, including experience with Snowflake or similar cloud data warehouses Comfortable working with incomplete documentation and extracting insight from existing work Clear and collaborative communicator, able to operate effectively under pressure Experience in retail, e-commerce or consumer-focused businesses is highly desirable Exposure to Python or R for analysis or model interrogation is beneficial How to Apply Register your interest by sending your CV to Ananya Gupta via the Apply Link on this page.

Product Analyst London-based £450 per day outside (IR35) 3-Month Contract Hybrid, Remote This contract opportunity sits within a data-led organisation at a key point of growth, where product decisions are driven by insight, experimentation and clear measurement. You will work at the intersection of product, engineering and commercial teams, using data to influence strategy and shape meaningful user outcomes. The Company They are a digitally native business with data embedded at the heart of decision-making. An established analytics function partners closely with teams across the organisation to improve user and partner experiences. The business continues to invest in modern tooling, experimentation and a strong culture of shared learning and transparency. The Role and Deliverables Partner with product and business stakeholders to uncover user behaviour, pain points and opportunities through robust quantitative analysis Design and support experiments, develop hypotheses, and help size and prioritise new product initiatives Define, align and document key metrics, working closely with engineers to ensure reliable and consistent data foundations Build and maintain self-serve dashboards and analytical tools to enable data-informed decision-making Deliver deep-dive analysis with clear recommendations to support strategic product and business decisions Contribute to a central insights and knowledge hub, promoting shared understanding across teams Your Skills & Experience Strong experience applying data analysis within a product-focused or digitally native environment Proficiency with SQL, Python or R, and familiarity with modern BI and analytics platforms Ability to translate complex business questions into structured analytical approaches and actionable insight Strong data storytelling skills, with confidence presenting findings to stakeholders at varying levels A proactive, detail-oriented mindset with genuine curiosity about user behaviour Comfortable collaborating closely with cross-functional teams while operating independently in a senior analytics environment How to Apply Register your interest by sending your CV to Ananya Gupta via the Apply Link on this page.

Role Overview This opportunity has arisen due to an immediate need for additional support as the team transitions from strategy into execution. A current contractor has been independently leading pricing work, and the team now requires someone who can quickly step in, work collaboratively, and ensure continuity and clarity across the analysis. This role is ideal for someone who thrives in fast-moving environments, can pick up existing work quickly, and communicates proactively while working closely with senior stakeholders. Key Responsibilities Support the Senior Analyst and Central Planning team with day-to-day analytical tasks Break down complex analytical requests into clear, manageable deliverables Validate and enhance existing pricing models based on changes in direction Conduct ongoing operational and performance analysis Design and evaluate tests to measure pricing strategy performance Translate data insights into actionable outcomes to inform business decisions Ensure consistency, clarity, and traceability in analytical processes Work collaboratively to fully understand and build on prior work What Success Looks Like By the end of the project, you will have: Contributed to the delivery and validation of a new pricing strategy Generated clear insights from testing and analysis to guide decision-making Helped build tools and frameworks to measure performance and pivot strategy effectively Supported the rollout of a refined customer pricing plan from July onwards Skills & Experience Must-Have Advanced Excel skills (highly detailed, analytical use) Strong SQL / Snowflake experience Proven ability to structure and communicate analysis clearly Highly numerate with a logical, step-by-step approach to problem solving Nice-to-Have Experience with Python or R Exposure to building analytical or pricing models Industry Experience Retail or eCommerce Fast-paced, high-volume business environments Soft Skills Strong communication and transparency - essential Highly collaborative mindset (team-first approach) Ability to over-communicate and stay closely aligned with stakeholders Quick to ramp up and comfortable working with ambiguity Team & Environment Working closely with: Senior Analyst Central Planning Lead A collaborative team focused on shared ownership and continuous communication Limited runway - you will be expected to hit the ground running from day one Working Pattern Mostly remote 1 day per week in Farringdon (flexible) Interview Process Stage 1: 45-minute interview (Hiring Manager + team member) Stage 2: Case study (1 hour) Analyse provided dataset Answer 3 key analytical questions Final discussion with Analyst & Central Planning Lead Start Date ASAP (Interviews available immediately; onboarding planned for early next week) Ideal Candidate Profile A strong candidate will be technically capable. An excellent candidate will combine technical ability with exceptional communication, collaboration, and adaptability, ensuring they integrate quickly and enhance team effectiveness from day one.

Business Intelligence Analyst London (hybrid, 2 days per week in the office) Up to £60,000 This is an opportunity to join a growing data function at a business undergoing a significant data transformation. You will play a central role in shaping how data is used across the organisation, acting as a trusted partner to multiple teams and helping to embed a strong self-serve BI culture using Power BI. The Company They are a well-established organisation operating within a highly regulated financial services environment, supporting complex decision-making through data. The business combines a stable, mature structure with a collaborative and down-to-earth culture. Data is seen as a strategic asset, with clear backing for investment in modern tooling and internal capability. Career development and internal progression are actively encouraged. The Role You will work closely with stakeholders across sales, finance, commercial, product and marketing to turn data into clear, actionable insight. The role is broad and hands-on, suiting someone who enjoys variety and taking ownership. Design, build and maintain dashboards and reports in Power BI to support business decision-making Partner with stakeholders to understand requirements and translate them into effective BI solutions Deliver analysis to answer commercial and operational questions Champion self-serve analytics and demonstrate the value of Power BI across the business Contribute to a wider data platform migration, working with engineers and architects Help improve data quality, reporting standards and overall BI best practice Your Skills and Experience Strong commercial experience in Business Intelligence or data analytics Advanced SQL capability for querying and analysing data Strong Power BI experience, including data modelling and visualisation best practice Confidence working directly with non-technical stakeholders and gathering requirements Solid understanding of data analysis techniques and how to communicate insight clearly Exposure to modern data platforms or cloud environments is beneficial DAX or Python knowledge is advantageous but not essential What They Offer Salary up to £60,000 Hybrid working with two days per week in a central London office The chance to work on a high-impact data migration programme Clear opportunities for learning, development and internal progression A professional yet relaxed working environment How to Apply Apply now to find out more about this Business Intelligence Analyst opportunity and how it could fit your next career move.

Are you a Data Scientist who enjoys building real-world models that drive commercial decisions , not just experimentation? I'm hiring for a Data Scientist to join a leading data and analytics consultancy working across customer insight, marketing, and predictive modelling. This is a brilliant opportunity to work on high-impact data products , combining advanced analytics, business understanding, and client-facing delivery in a collaborative, product-focused environment. The company This is a well-established data consultancy that sits at the intersection of data provision, analytics, and product development . They work with high-volume customer data across sectors like utilities, telecoms, financial services, and charities - using data to solve real commercial problems and drive better decisions. They've built out a Customer Intelligence Platform , where data science, analytics, and product teams collaborate to create scalable, reusable data products. Where you fit You'll sit within the Data Science team , working closely with Product Managers, Data Analysts, and subject-matter experts. This is a hands-on modelling role with strong client interaction , where you'll take problems from discovery through to delivery - combining technical expertise with commercial thinking. What you'll be doing Build predictive models (often propensity modelling / scoring models ) to solve real customer and business problems Work directly with clients to understand challenges, run discovery sessions, and shape analytical approaches Develop and refine models, including training, testing, and optimisation Lead rapid prototyping and proof-of-concept work using Databricks notebooks Define features, model structures, and scoring outputs for data products Translate analytical outputs into clear, actionable insights and presentations for clients Contribute to the development of scalable, reusable data products within the platform Example project You might build a model that predicts which customers are most likely to repay debt , then segment them to determine the best engagement strategy - using behavioural and demographic patterns to optimise outcomes. Tech stack Python & SQL (essential) Databricks (core analytics environment) Azure-based data platform (with flexibility depending on client environments) What you bring Must-haves 3+ years experience in data science Strong Python and SQL skills Experience building and evaluating predictive models Understanding of data modelling and feature engineering Ability to translate data into clear commercial insight and recommendations Confident communicator - comfortable working directly with clients Consultancy or client-facing experience Nice to have Experience with Databricks or cloud platforms (Azure, etc.) Background in customer, marketing, or transactional data Exposure to industries like telecoms, financial services, or utilities Why this role Work on end-to-end data science projects - not just isolated modelling Strong balance of technical work and commercial impact Opportunity to contribute to product development and innovation Exposure to multiple clients, industries, and use-cases Collaborative team environment with analysts, SMEs, and product teams Working pattern Hybrid: 1 day per week in London Open to candidates based in the Midlands who can commute weekly Additional flexibility for the right candidate UK travel to clients may be required depending on project work

Experimentation Specialist London Up to £45,000 plus benefits Hybrid working A great opportunity to join a growing experimentation function within a large, digital-first organisation. This role offers the chance to shape testing strategy, influence roadmaps, and make a measurable impact across multiple brands and digital touchpoints. You will be joining at an exciting stage as they build out a dedicated team. The Company They are a well-established, multi-brand retail group with a significant presence in ecommerce and digital product. The organisation is investing heavily in experimentation, data and insights to drive performance and enhance customer experience across their online platforms. With a fast-paced environment and a strong appetite for testing, they offer the chance to embed experimentation culture across a complex digital ecosystem. The Role Support the build of a centralised experimentation function. Translate commercial objectives into experimentation roadmaps. Prioritise tests based on value, business context and feasibility. Lead ideation, design and end-to-end execution of A/B tests. Partner with technical teams to ensure robust implementation. Analyse test results and communicate insights to stakeholders. Distinguish CRM experimentation from website CRO and support both areas. Contribute to training and enablement across digital teams. Your Skills and Experience Strong commercial experience running experimentation programmes. Hands-on experience setting up and analysing A/B tests. Understanding of experimentation principles, digital metrics and measurement. Experience with platforms such as GA4, Optimizely or similar tools. Ability to create, manage and communicate experimentation roadmaps. Comfortable working cross-functionally within product, digital, CRM and tech teams. Able to work independently and prioritise effectively. Experience with user testing platforms is an advantage. What They Offer Salary up to £45,000 depending on experience. Hybrid model with four days in the central London office. 20 days holiday plus bank holidays. Pension scheme with employer and employee contributions. Access to wellbeing, health and financial support services. Retail discounts across all brands. Discounted gym membership and fitness support. Employee recognition and reward schemes. Internal learning platform with extensive training content. Opportunities to progress as the experimentation function grows. How to Apply If you are passionate about experimentation and want to help shape a growing team, apply with your CV today.

Senior Software Engineer (Python) Hybrid London (2 days/week) Up to £100,000 + Benefits We're hiring a Senior Software Engineer to play a key role in building and scaling a high-impact ad-fraud prevention platform used globally. This is a senior IC role for engineers who enjoy ownership, solving complex problems, and setting a high bar for engineering quality. What you'll do: Lead delivery of complex, cross-service features Make pragmatic architecture and design decisions Own services end-to-end, including performance, reliability, and incident response Set standards for testing, observability, and security Mentor engineers and contribute to strong team practices Collaborate closely with Product, Design, and Data teams What we're looking for: Strong experience as a Senior Software Engineer in modern product teams Proven ability to design and deliver scalable, reliable systems Experience operating production services Strong coding, code review, and technical leadership skills Comfortable working through ambiguity and influencing technical direction Why apply? Salary up to £100,000 Hybrid working - 2 days per week in the London office High ownership, high-impact role Strong engineering culture focused on quality and reliability

Senior BI Engineer - 8 Month FTC £65,000 Remote We are looking for a Senior BI Engineer to join a global technology business on an 8-month fixed-term contract. You will design and develop scalable BI solutions, data models, dashboards, and reporting frameworks that turn complex data into clear business insights. Key responsibilities include: Building automated ETL/ELT pipelines and data models Creating dashboards and reports for senior leaders and business users Improving data quality, documentation, and governance Optimising SQL queries and dashboard performance Working with stakeholders to define KPIs and technical requirements Supporting junior engineers with code reviews and BI best practice Skills and experience: 5+ years' experience in BI, data engineering, analytics engineering, or technical analytics Strong SQL skills, including joins, window functions, and performance tuning Experience with Databricks, Snowflake, or BigQuery Strong data modelling experience, ideally with dbt Experience with BI tools such as Omni, Power BI, Tableau, Looker, or Sigma Strong stakeholder management and communication skills Experience with Git, CI/CD, Agile, Salesforce, remote working, or global teams would be beneficial.

Data Engineer Hybrid - London (4 Days Per Week in Office) Up to £120,000 + 50% Bonus This is a rare opportunity to sit at the centre of value creation within a high-performing private equity environment. You will play a pivotal role in shaping data platforms that directly influence decision-making, AI adoption, and commercial outcomes across multiple portfolio businesses, all while working closely with senior stakeholders. The Company They are a well-established lower mid-market investment firm with a strong track record of fund performance and a highly supportive investor base. Operating with a single, focused strategy, they are known for conviction in their niche and a consistent investment philosophy. The firm has recently invested in a new, high-spec London headquarters and continues to grow its value creation capability as a core pillar of the business. The Role As Data Engineering Platform Lead, you will sit within the value creation function and act as the technical foundation for data and AI initiatives across the portfolio. Your responsibilities will include: Designing and building scalable data platforms and architecture for portfolio companies. Establishing robust data engineering foundations to enable analytics, reporting, and decision-making. Ensuring data environments are AI-ready, supporting future AI and agentic AI use cases. Working hands-on with data, while also advising C-suite stakeholders on best practice and trade-offs. Operating across varied data maturity levels and technology stacks within different businesses. Partnering closely with senior value creation leaders and portfolio leadership teams. Your Skills and Experience To succeed in this role, you will bring: Strong commercial experience in data engineering and platform development. Hands-on capability with SQL and Python, and experience building end-to-end data platforms. A deep understanding of data architecture, scalability, and common pitfalls in growing data environments. A tech-agnostic, generalist mindset, comfortable working across multiple tools and stacks. The ability to communicate clearly with senior, non-technical stakeholders and influence at C-suite level. A pragmatic, adaptable approach, balancing strategic thinking with execution. What They Offer Base salary up to £120,000. Strong bonus potential, up to around 50 percent in a strong year. Exposure to multiple portfolio companies and a wide range of data challenges. The chance to work on cutting-edge data and AI initiatives with real commercial impact. Close collaboration with senior value creation leadership and portfolio executives. A modern London office environment with a strong in-office culture.

PRODUCT DATA ANALYST / SCIENTIST UP TO £85,000 HYBRID - LONDON 2x PER WEEK + 1x MONTHLY TEAM TRAVEL Please note, you must be a UK resident and citizen to apply THE COMPANY Backed by private equity, this fast-growing consumer technology business is on a mission to become more product-focused and deliver greater personalisation for its users. With strong leadership and exciting growth plans, they're now looking for a senior-level Product Data Analyst/Scientist to help shape product strategy and deliver actionable insights. THE ROLE As a Product Data Analyst/Scientist, you will: Own and drive product analytics, focusing on user behaviour and personalisation. Deliver insights that directly influence product strategy and experimentation. Build and maintain dashboards to track product performance and user engagement. Partner with stakeholders across product and analytics to communicate insights effectively. Support the business in becoming more data-driven, shaping commercial and product decisions. YOUR SKILLS AND EXPERIENCE Experience in product analytics, within B2C consumer tech businesses Strong SQL skills essential. Proficiency with data visualisation tools (Looker preferred, open to others). Experience with Python desirable. Product analytics expertise: experimentation, dashboarding, and driving product strategy. Excellent communication and stakeholder management skills. Experience influencing product roadmaps and delivering commercial impact. BENEFITS Opportunity to influence product strategy in a PE-backed, high-growth business. Work closely with senior leadership, including the Director of Analytics. Competitive salary plus benefits.

Lead Databricks Data Engineer £600 - £700 per day (inside IR35) London, hybrid working This freelance opportunity offers the chance to shape the future-state data platform for a large, complex financial services organisation. The focus is on moving from slow, batch-based analytics towards a more modern, streaming-led architecture, with clear ownership over data vision, use cases, and delivery direction. The Company They are a well-established organisation operating at scale within the UK financial services and pensions landscape. Managing significant volumes of legacy and live data, they work with both onshore and offshore delivery partners. The business is at a pivotal point in modernising how data is accessed, governed, and used to drive insight. Clear communication and pragmatic decision-making are highly valued. The Role and Deliverables Define a clear end-to-end data vision, covering current state, target architecture, and practical steps to get there. Lead the design and development of a Databricks-based medallion architecture, with a strong focus on a robust Gold layer for analytics. Improve data availability by shifting from monthly batch processes towards more frequent or streaming ingestion where appropriate. Act as the senior technical decision-maker on data use cases, prioritisation, and trade-offs. Work closely with onshore teams and an offshore partner to unblock progress, clarify ownership, and accelerate delivery. Provide regular, clear updates to senior stakeholders, ensuring alignment on progress and next steps. Your Skills & Experience Strong experience as a Lead Data Engineer within financial services, ideally pensions or a similarly regulated environment. Proven capability designing and delivering modern data platforms using Databricks and medallion architecture principles. Experience dealing with large volumes of legacy data and integrating it with modern analytics platforms. Confidence defining data use cases and translating business needs into technical delivery. Ability to lead mixed teams across onshore and offshore models and make effective resource allocation decisions. Excellent communication skills, with the credibility to engage senior stakeholders and drive momentum.

Lead ML Engineer (12-month FTC) £80,000 - £90,000 Remote (UK Based Only) This is a rare opportunity to step into a senior, hands-on ML Engineering role where you will shape how machine learning is delivered, scaled, and embedded across a large, complex organisation. THE COMPANY They are a large, well-established professional services organisation with a strong reputation for quality, trust, and long-term client relationships. Data and AI are a strategic priority, with significant internal backing to move from successful proof of concepts to robust, production-grade platforms. THE ROLE As a Lead ML Engineer, you will take ownership of ML Engineering delivery end-to-end, helping define best practice while remaining highly hands-on. Specifically, you can expect to be involved in the following: Leading the ML Engineering capability and contributing to the wider data and AI strategy. Designing, building, and productionising ML pipelines aligned to business goals. Delivering NLP and LLM-driven solutions, including fine-tuning and deployment. Implementing strong MLOps practices across model training, deployment, and monitoring. Working closely with Data Scientists to support, maintain, and improve models in production. Building APIs and data products that enable ML solutions to be consumed across the business. SKILLS AND EXPERIENCE The successful Lead ML Engineer will have the following skills and experience: Commercial experience delivering ML solutions end-to-end. Strong Python and SQL skills, with experience building data and ML pipelines. Hands-on experience with Databricks and Azure. Practical experience with NLP and LLMs, including fine-tuning and applied use cases. Solid understanding of MLOps, CI/CD for ML, and production model monitoring. Exeperience with stakeholders and translating business problems into technical solutions. Experience building or integrating APIs, such as with FastAPI, is beneficial. BENEFITS The successful Lead ML Engineer will receive the following benefits: Salary between £80,000 - £90,000 - depending on experience HOW TO APPLY Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

Lead ML Engineer (12-month FTC) £80,000 - £90,000 Remote (UK Based Only) This is a rare opportunity to step into a senior, hands-on ML Engineering role where you will shape how machine learning is delivered, scaled, and embedded across a large, complex organisation. THE COMPANY They are a large, well-established professional services organisation with a strong reputation for quality, trust, and long-term client relationships. Data and AI are a strategic priority, with significant internal backing to move from successful proof of concepts to robust, production-grade platforms. THE ROLE As a Lead ML Engineer, you will take ownership of ML Engineering delivery end-to-end, helping define best practice while remaining highly hands-on. Specifically, you can expect to be involved in the following: Leading the ML Engineering capability and contributing to the wider data and AI strategy. Designing, building, and productionising ML pipelines aligned to business goals. Delivering NLP and LLM-driven solutions, including fine-tuning and deployment. Implementing strong MLOps practices across model training, deployment, and monitoring. Working closely with Data Scientists to support, maintain, and improve models in production. Building APIs and data products that enable ML solutions to be consumed across the business. SKILLS AND EXPERIENCE The successful Lead ML Engineer will have the following skills and experience: Commercial experience delivering ML solutions end-to-end. Strong Python and SQL skills, with experience building data and ML pipelines. Hands-on experience with Databricks and Azure. Practical experience with NLP and LLMs, including fine-tuning and applied use cases. Solid understanding of MLOps, CI/CD for ML, and production model monitoring. Exeperience with stakeholders and translating business problems into technical solutions. Experience building or integrating APIs, such as with FastAPI, is beneficial. BENEFITS The successful Lead ML Engineer will receive the following benefits: Salary between £80,000 - £90,000 - depending on experience HOW TO APPLY Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

Lead ML Engineer (12-month FTC) £80,000 - £90,000 Remote (UK Based Only) This is a rare opportunity to step into a senior, hands-on ML Engineering role where you will shape how machine learning is delivered, scaled, and embedded across a large, complex organisation. THE COMPANY They are a large, well-established professional services organisation with a strong reputation for quality, trust, and long-term client relationships. Data and AI are a strategic priority, with significant internal backing to move from successful proof of concepts to robust, production-grade platforms. THE ROLE As a Lead ML Engineer, you will take ownership of ML Engineering delivery end-to-end, helping define best practice while remaining highly hands-on. Specifically, you can expect to be involved in the following: Leading the ML Engineering capability and contributing to the wider data and AI strategy. Designing, building, and productionising ML pipelines aligned to business goals. Delivering NLP and LLM-driven solutions, including fine-tuning and deployment. Implementing strong MLOps practices across model training, deployment, and monitoring. Working closely with Data Scientists to support, maintain, and improve models in production. Building APIs and data products that enable ML solutions to be consumed across the business. SKILLS AND EXPERIENCE The successful Lead ML Engineer will have the following skills and experience: Commercial experience delivering ML solutions end-to-end. Strong Python and SQL skills, with experience building data and ML pipelines. Hands-on experience with Databricks and Azure. Practical experience with NLP and LLMs, including fine-tuning and applied use cases. Solid understanding of MLOps, CI/CD for ML, and production model monitoring. Exeperience with stakeholders and translating business problems into technical solutions. Experience building or integrating APIs, such as with FastAPI, is beneficial. BENEFITS The successful Lead ML Engineer will receive the following benefits: Salary between £80,000 - £90,000 - depending on experience HOW TO APPLY Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

Lead ML Engineer (12-month FTC) £80,000 - £90,000 Remote (UK Based Only) This is a rare opportunity to step into a senior, hands-on ML Engineering role where you will shape how machine learning is delivered, scaled, and embedded across a large, complex organisation. THE COMPANY They are a large, well-established professional services organisation with a strong reputation for quality, trust, and long-term client relationships. Data and AI are a strategic priority, with significant internal backing to move from successful proof of concepts to robust, production-grade platforms. THE ROLE As a Lead ML Engineer, you will take ownership of ML Engineering delivery end-to-end, helping define best practice while remaining highly hands-on. Specifically, you can expect to be involved in the following: Leading the ML Engineering capability and contributing to the wider data and AI strategy. Designing, building, and productionising ML pipelines aligned to business goals. Delivering NLP and LLM-driven solutions, including fine-tuning and deployment. Implementing strong MLOps practices across model training, deployment, and monitoring. Working closely with Data Scientists to support, maintain, and improve models in production. Building APIs and data products that enable ML solutions to be consumed across the business. SKILLS AND EXPERIENCE The successful Lead ML Engineer will have the following skills and experience: Commercial experience delivering ML solutions end-to-end. Strong Python and SQL skills, with experience building data and ML pipelines. Hands-on experience with Databricks and Azure. Practical experience with NLP and LLMs, including fine-tuning and applied use cases. Solid understanding of MLOps, CI/CD for ML, and production model monitoring. Exeperience with stakeholders and translating business problems into technical solutions. Experience building or integrating APIs, such as with FastAPI, is beneficial. BENEFITS The successful Lead ML Engineer will receive the following benefits: Salary between £80,000 - £90,000 - depending on experience HOW TO APPLY Please register your interest by sending your resume to Majid Latif via the Apply link on this page.