Harnham - Data & Analytics Recruitment

Power BI & Application Developer - AI Location: London 4 days per week in office Up to £75k + benefits No sponsorship is available A leading technology business is looking for a Power BI & Application Developer (AI) to join their London team. The business is transitioning from traditional Power BI reporting into modern, application-based products, with AI and agentic workflows becoming increasingly central to how they deliver insights. The Role You'll work across Power BI, VisOps, application development and AI, building client-facing tools that turn complex data and AI outputs into clear, executive-level insights. Build and develop client-facing applications and analytics tools Develop AI-integrated dashboards and applications Work with Claude, LLMs, agentic flows and MCPs Transition existing Power BI / Tableau outputs into applications Build executive-level performance reporting and visualisations Work closely with Data Science, Data Engineering and Architecture teams Support client demos, walkthroughs and training Requirements Strong Power BI experience, including DAX, dashboard development and embedding Strong front-end / application development Strong SQL skills Experience working with AI / LLMs within applications Experience with agentic AI / agentic workflows Experience with MCPs (Model Context Protocol) Strong understanding of VisOps, UX and data storytelling Experience creating clear, executive-level reporting and analytics What Will Make You Stand Out Experience integrating Claude or similar LLMs into applications/infrastructure Hands-on experience building agentic flows and AI-powered tools Experience with MCPs Background delivering client-facing, productised analytics solutions Consultancy experience delivering analytics/AI solutions to clients Strong visual design and UX skills If you are interested in the role, please apply.

Senior MLOps Engineer London (Hybrid) £75,000 - £85,000 + Bonus + BenefitsThis is an opportunity to take ownership of the infrastructure powering a growing AI platform. You'll work across machine learning, NLP, and emerging AI technologies, helping build scalable systems that support real-world impact. The Company A growing AI and data consultancy helping organisations use data and machine learning to improve decision-making and deliver better outcomes. They are investing heavily in their AI platform and expanding their engineering capability. The Role Own and develop the MLOps infrastructure supporting AI services. Build and maintain orchestration pipelines using Dagster, Airflow, or Prefect. Deploy and manage ML workloads on Kubernetes and cloud platforms. Implement CI/CD, observability, and monitoring across production systems. Develop infrastructure using Terraform, Bicep, or similar IaC tools. Work closely with Data Scientists, ML Engineers, and AI teams to scale deployments. Your Skills & Experience Strong Python software engineering skills. Commercial MLOps experience in production environments. Hands-on Kubernetes expertise. Experience with workflow orchestration platforms. Infrastructure as Code and CI/CD experience. Understanding of production ML, NLP, or AI systems.

Senior Data Analytics Consultant London (Hybrid, 2-3 days per week) £60,000 - £65,000 + Benefits Sponsorship Not Available An exciting opportunity to join a leading global data and AI consultancy, working with high-profile enterprise clients to solve complex business challenges through analytics. This role offers a blend of hands-on data analysis, stakeholder engagement, and strategic consulting, making it ideal for someone who enjoys turning data into commercial impact. The Company They are a global consultancy specialising in data, analytics, and AI solutions for large international organisations. Their teams help businesses make smarter decisions by uncovering insights from complex datasets and translating them into actionable recommendations. With a collaborative culture and strong investment in innovation, they offer excellent opportunities for professional growth and exposure to large-scale analytical projects. The Role You will work closely with client stakeholders and analytics teams to deliver insight-led solutions that drive business performance.Responsibilities include: Leading client conversations and translating business challenges into analytical solutions Building and maintaining SQL-based reporting and analytics solutions Developing dashboards and visualisations using tools such as Tableau or Looker Analysing sales, consumer, marketing, and performance data to uncover trends and opportunities Presenting recommendations to both technical and non-technical stakeholders Managing project delivery, stakeholder communication, and key milestones Collaborating with wider analytics and data teams to deliver scalable solutions Your Skills & Experience Advanced SQL skills with experience working on large, complex datasets Strong data analytics and business insight generation capability Experience using Tableau, Looker, Power BI, or similar BI tools Proven stakeholder management and client-facing experience Ability to communicate findings clearly and influence decision-making Strong commercial awareness and experience translating data into business outcomes Experience in consulting, retail, consumer, sales, or marketing analytics is advantageous Exposure to Python, R, forecasting, or supply chain analytics is beneficial What They Offer Salary of £60,000 - £65,000 Hybrid working model with 2-3 days in the London office Visa not sponsorship available Exposure to global clients and large-scale analytics programmes Clear progression opportunities within a growing consultancy Collaborative, high-performing environment focused on innovation and development How to apply Apply below or email me at

FULL STACK ENGINEER (AI-NATIVE) Up to £85,000 + Benefits London (Hybrid, 2 Days per Week)This is a great opportunity to join a high-growth fintech scale-up where you can take ownership of customer-facing products whilst working in an AI-first engineering environment. You'll help build technology that combines financial data, analytics, and behavioural insights to deliver meaningful outcomes for end users. THE COMPANY: This rapidly growing WealthTech business is transforming how individuals engage with their financial lives through innovative technology, sophisticated analytics, and exceptional user experience. Backed by leading investors and operating in a scale-up environment, the business is building a platform that provides users with a complete view of their financial world alongside personalised insights and recommendations.The engineering function operates through cross-functional Agile squads and is heavily focused on leveraging AI to increase engineering productivity and innovation. THE ROLE: You will take ownership of software within one of the engineering squads, contributing across both front-end and back-end development while working alongside product, engineering, and technical operations teams.Key responsibilities include: Building and enhancing customer-facing web applications. Developing scalable features using React, JavaScript and TypeScript. Contributing to backend services built with Kotlin and Spring. Leveraging AI tools and agentic development workflows as part of your day-to-day engineering process. Working within Agile Scrum teams to plan, develop, test and release software. Collaborating on APIs, microservices and event-driven architectures. Driving software quality, performance, security and scalability. YOUR SKILLS AND EXPERIENCE: You will bring strong capability in: Java and Kotlin backend development on the Spring stack. React, JavaScript and TypeScript. AI-assisted development, particularly using Claude and agentic engineering workflows. CI/CD pipelines, automated testing and API integrations. AWS, Docker and/or Kubernetes. Jira, Agile methodologies and collaborative software delivery. THE BENEFITS: You will receive a salary of up to £85,000 depending on experience, along with a comprehensive benefits package. Please note: Sponsorship is not available for this position. HOW TO APPLY: Please register your interest by sending your CV to Molly Bird via the apply link on this page.

DATA ENGINEER up to £60,000 + Benefits Kent (Hybrid) This is a great opportunity to join a growing organisation where you can take ownership of customer and business data, helping to drive insight-led decision making across the company. THE COMPANY: This organisation operates a nationwide retail network and serves a large customer base across multiple locations throughout the UK. Following significant investment in data, the business is focused on improving customer lifecycle analysis, commercial performance, and operational insight.With established processes, clear ways of working, and a mature business environment, this offers an excellent opportunity for a Data Engineer looking to make a meaningful impact within a growing data function. THE ROLE: You'll be responsible for building and maintaining data solutions that support both strategic business requirements and customer-focused analytics initiatives.Key responsibilities include: Designing and maintaining robust data pipelines. Developing scalable data models within Snowflake. Supporting business stakeholders with trusted, accessible data. Delivering transformations and workflow automation using modern data tooling. Collaborating with analytics teams to enhance reporting and business insight capabilities. YOUR SKILLS AND EXPERIENCE: You will bring strong capability in: Snowflake SQL dbt Fivetran Power BI THE BENEFITS: You will receive a salary of up to £60,000 depending on experience, along with a comprehensive benefits package. HOW TO APPLY: Please register your interest by sending your CV to Molly Bird via the apply link on this page.

DATA ENGINEER up to £60,000 + Benefits Kent (Hybrid) This is a great opportunity to join a growing organisation where you can take ownership of customer and business data, helping to drive insight-led decision making across the company. THE COMPANY: This organisation operates a nationwide retail network and serves a large customer base across multiple locations throughout the UK. Following significant investment in data, the business is focused on improving customer lifecycle analysis, commercial performance, and operational insight.With established processes, clear ways of working, and a mature business environment, this offers an excellent opportunity for a Data Engineer looking to make a meaningful impact within a growing data function. THE ROLE: You'll be responsible for building and maintaining data solutions that support both strategic business requirements and customer-focused analytics initiatives.Key responsibilities include: Designing and maintaining robust data pipelines. Developing scalable data models within Snowflake. Supporting business stakeholders with trusted, accessible data. Delivering transformations and workflow automation using modern data tooling. Collaborating with analytics teams to enhance reporting and business insight capabilities. YOUR SKILLS AND EXPERIENCE: You will bring strong capability in: Snowflake SQL dbt Fivetran Power BI THE BENEFITS: You will receive a salary of up to £60,000 depending on experience, along with a comprehensive benefits package. HOW TO APPLY: Please register your interest by sending your CV to Molly Bird via the apply link on this page.

Senior Data Scientist Leicester (Hybrid - 1 Day Per Week) £60,000-£75,000 + £5,000 Car Allowance + 10% Bonus + Outstanding Benefits THE COMPANY We're exclusively partnering with one of the UK's leading digital insurance businesses to hire two Senior Data Scientists into its highly regarded Alternative Pricing Product (APP) team. With over four million customers and significant investment in Data Science, Machine Learning and digital transformation, the business has built one of the strongest pricing and analytics capabilities in UK insurance. This is a genuinely innovative environment where Data Scientists are encouraged to challenge conventional pricing methods, explore new data sources and develop cutting-edge machine learning solutions that directly influence commercial decisions. THE ROLE Joining a specialist team of six Data Scientists and Analysts, you'll play a key role in developing the next generation of pricing models across car and van insurance. Rather than maintaining existing models, you'll be encouraged to challenge traditional pricing approaches by exploring new datasets and applying innovative machine learning techniques to solve complex commercial problems. Responsibilities include: Building predictive machine learning models using large, complex datasets Developing innovative pricing and customer selection models Creating footprint (geospatial) models using alternative data sources Developing residual models to improve claims prediction accuracy Exploring novel datasets to improve pricing performance Taking existing V1 models and evolving them into production-ready V2 solutions Working closely with Pricing, Data Science and Engineering teams Mentoring a Graduate Data Scientist while leading your own projects from concept through to delivery YOUR SKILLS AND EXPERIENCE Strong Python and SQL experience Commercial Machine Learning experience Strong predictive modelling background Comfortable working with large, messy datasets Experience solving complex business problems using data Experience mentoring or supporting junior team members Exposure to model deployment is beneficial but not essential Experience within Insurance, Financial Services, Gaming or another digital-first business is advantageous Experience with Azure Machine Learning, Graph-based models or geospatial modelling would be beneficial but is not essential. THE BENEFITS Salary up to £75,000 (up to £80,000 for exceptional candidates) £5,000 annual car allowance 10% target bonus (up to 20%) Hybrid working (1 day per week in the office) Choice of London or Leicester or Bexhill office, with monthly London travel fully expensed Private Medical Insurance 10% matched pension 27 days annual leave plus bank holidays Buy or sell up to 5 days annual leave Life Assurance and Income Protection Health & Wellbeing package Optional dental cover Discounts on company products INTERVIEW PROCESS 30-minute introductory conversation with the Hiring Manager Take-home case study followed by a 20-minute presentation and technical discussion Final leadership and team-fit interview HOW TO APPLY Please register your interest by sending your CV to Max Beadle at Harnham via the Apply link on this page.

Senior Data Scientist London (Hybrid - 1 Day Per Week) £60,000-£75,000 + £5,000 Car Allowance + 10% Bonus + Outstanding Benefits THE COMPANY We're exclusively partnering with one of the UK's leading digital insurance businesses to hire two Senior Data Scientists into its highly regarded Alternative Pricing Product (APP) team. With over four million customers and significant investment in Data Science, Machine Learning and digital transformation, the business has built one of the strongest pricing and analytics capabilities in UK insurance. This is a genuinely innovative environment where Data Scientists are encouraged to challenge conventional pricing methods, explore new data sources and develop cutting-edge machine learning solutions that directly influence commercial decisions. THE ROLE Joining a specialist team of six Data Scientists and Analysts, you'll play a key role in developing the next generation of pricing models across car and van insurance. Rather than maintaining existing models, you'll be encouraged to challenge traditional pricing approaches by exploring new datasets and applying innovative machine learning techniques to solve complex commercial problems. Responsibilities include: Building predictive machine learning models using large, complex datasets Developing innovative pricing and customer selection models Creating footprint (geospatial) models using alternative data sources Developing residual models to improve claims prediction accuracy Exploring novel datasets to improve pricing performance Taking existing V1 models and evolving them into production-ready V2 solutions Working closely with Pricing, Data Science and Engineering teams Mentoring a Graduate Data Scientist while leading your own projects from concept through to delivery YOUR SKILLS AND EXPERIENCE Strong Python and SQL experience Commercial Machine Learning experience Strong predictive modelling background Comfortable working with large, messy datasets Experience solving complex business problems using data Experience mentoring or supporting junior team members Exposure to model deployment is beneficial but not essential Experience within Insurance, Financial Services, Gaming or another digital-first business is advantageous Experience with Azure Machine Learning, Graph-based models or geospatial modelling would be beneficial but is not essential. THE BENEFITS Salary up to £75,000 (up to £80,000 for exceptional candidates) £5,000 annual car allowance 10% target bonus (up to 20%) Hybrid working (1 day per week in the office) Choice of London or Leicester or Bexhill office, with monthly London travel fully expensed Private Medical Insurance 10% matched pension 27 days annual leave plus bank holidays Buy or sell up to 5 days annual leave Life Assurance and Income Protection Health & Wellbeing package Optional dental cover Discounts on company products INTERVIEW PROCESS 30-minute introductory conversation with the Hiring Manager Take-home case study followed by a 20-minute presentation and technical discussion Final leadership and team-fit interview HOW TO APPLY Please register your interest by sending your CV to Max Beadle at Harnham via the Apply link on this page.

SENIOR ANALYTICS ENGINEERING CONSULTANT REMOTE (UK) UP TO £90K This is a fantastic opportunity to join a growing specialist data consultancy at the forefront of modern analytics. You'll work directly with clients to design and deliver high-impact analytics solutions while gaining exposure to architecture, strategy, stakeholder management and commercial consulting responsibilities within a highly collaborative environment. ROLES AND RESPONSIBILITIES: The Senior Analytics Engineering Consultant will: Design and deliver analytics solutions using Google Cloud, BigQuery, dbt and Looker Build scalable data models, semantic layers and modern reporting environments Lead client workshops, discovery sessions and requirements gathering activities Manage multiple client engagements and balance competing priorities Lead technical discussions and provide trusted advice to stakeholders Design modern analytics architectures and governance frameworks Support self-service analytics and data enablement initiatives Identify opportunities for account growth, renewals and ongoing client engagement Mentor consultants and contribute to internal best practices Support innovation across AI, analytics engineering and modern data platforms YOUR SKILLS AND EXPERIENCE: The ideal candidate will have the following skills and experience: Google Cloud Platform (GCP) BigQuery dbt Looker SQL and data modelling Git, version control and CI/CD practices Analytics engineering and modern data platform delivery Client-facing consulting and stakeholder management Leading technical discussions with both technical and non-technical audiences Consultancy experience APPLY BELOW

Data Analyst London remote £50,000 - £55,000 Must have full right to work in the UK This is an exciting opportunity for a commercially minded Data Analyst to join a growing organisation at a pivotal stage of its journey. Combining finance, reporting, and data analysis, the role offers genuine ownership, exposure to senior stakeholders, and the chance to shape reporting processes that directly support business growth and decision-making. The Company They are a fast-growing organisation operating in a highly data-driven environment, delivering services at scale through a technology-enabled model. Working across multiple complex contracts and service streams, they rely on accurate reporting and insight to support strategic decisions and long-term growth. As the business continues to expand, they are investing in their finance and data capabilities to improve visibility, efficiency, and performance. The Role As a Data Analyst, you will sit within a small finance team and work closely with senior stakeholders to manage reporting, analysis, and data processes across the business. You will: Own and develop finance reporting and management information Support forecasting cycles and maintain large-scale financial models covering forecasts, planning, and cash flow Reconcile data across multiple systems, including Xero, SQL, and Power BI Upload, manage, and maintain finance and operational datasets Produce board-level reporting on financial performance, operational metrics, and contract activity Analyse volumes, performance trends, and operational data against forecasts and expectations Build new reports and dashboards while enhancing existing reporting processes Investigate and resolve data discrepancies to ensure data accuracy and integrity Partner with finance, technology, and operational stakeholders to improve reporting capabilities and decision-making Your Skills & Experience You will have: Strong experience in a finance, accounting, or financial analysis role Advanced Excel skills, including financial modelling and reporting Practical experience using SQL and Power BI for reporting and data analysis Experience working with large, complex datasets and performing reconciliations Strong analytical and problem-solving skills with excellent attention to detail The ability to communicate insights clearly to both technical and non-technical stakeholders A proactive and organised approach, with the confidence to take ownership of processes and improvements What They Offer Salary of £50,000 - £55,000 Remote working arrangement Direct exposure to senior leadership and key business stakeholders The opportunity to shape and develop reporting processes in a growing organisation A varied role spanning finance, analytics, reporting, and business performance Strong opportunities for professional development and career progression How to Apply If you're a Data Analyst with strong Excel, SQL, and Power BI skills, apply today to learn more about this opportunity.

BI DEVELOPER LONDON3 DAYS ONSITE OUTSIDE IR35 £350 TO £420 PER DAY This is an opportunity to join a business undergoing a major data transformation programme, helping to build a trusted reporting environment across multiple business functions. You will play a key role in shaping data architecture, improving integration's, and delivering meaningful Power BI insights that support strategic decision-making. The Company They are a well-established, commercially focused organisation with a strong international presence. As part of an ongoing data integration initiative, they are bringing together information from multiple systems across finance, HR, operations, and client-facing functions. They are investing in creating a single source of truth to improve reporting, data visibility, and business performance. This contract offers the chance to make a tangible impact within a complex and evolving environment. The Role and Deliverables Engage with senior stakeholders to gather reporting requirements and recommend BI solutions. Take ownership of the existing Azure SQL Server environment, including databases, integrations, and API connections. Troubleshoot data quality, connectivity, and integration issues across multiple business systems. Support the development and enhancement of data warehouse architecture, data pipelines, and transformation layers. Design and deliver intuitive Power BI dashboards for commercial, finance, operational, and HR stakeholders. Translate complex business data into actionable insights and reporting outputs that support decision-making. Your Skills & Experience Strong hands-on experience developing dashboards and reporting solutions using Power BI. Advanced SQL development capability, ideally within Azure SQL Server environments. Experience managing and supporting existing database environments and data platforms. Strong understanding of data integration's, APIs, and troubleshooting complex data flows. Proven ability to deliver end-to-end BI solutions, from backend architecture through to visualisation. Experience working with cloud platforms such as Azure, with exposure to AWS or GCP advantageous. Confidence engaging with senior stakeholders and translating business requirements into technical solutions. Ability to work independently and operate effectively in a fast-paced, changing environment. Commercial awareness and a strong focus on delivering business value through data. Experience within media, agency, creative, or other fast-moving commercial organisations is beneficial. Exposure to Microsoft Fabric, SAP-based platforms, or large-scale transformation programmes would be advantageous.

ANALYTICS ENGINEER 6-MONTH CONTRACT £450-£450 PER DAY OUTSIDE IR35 This role offers a great opportunity for an Analytics Engineer to join a fast-scaling digital business undergoing a complete rebuild of its analytics infrastructure. You'll play a key role in reshaping how data is modeled, accessed, and used across teams - all with a focus on clarity, consistency, and self-serve analytics. The environment values autonomy, quality, and user-first thinking, with the freedom to shape best practices from the ground up. THE COMPANY This is a high-growth consumer business committed to data-informed decision-making across marketing, operations, product, finance, and customer success. They're currently rebuilding their analytics platform with modern, scalable tools and need a strong contractor to accelerate this transition. Working in a fast-paced, collaborative, and remote-first environment, you'll make a lasting impact on how data empowers the organisation. THE ROLE You'll join the data team to lead the design and delivery of a new semantic layer in Looker. You'll work with stakeholders across departments to translate business needs into performant, trusted data models using LookML and dbt. You'll also play a critical role in shaping the self-serve analytics experience and ensuring the platform is intuitive, documented, and cost-efficient. Your responsibilities will include: Ingest and migrate data sets into their AWS Snowflake platform. Designing and implementing dbt models that power clean, consistent metrics. Buidl out orchestartion pipelines using Airflow Creating clear documentation for dashboards, metrics, and models. Ensuring optimal performance and cost efficiency across Snowflake Supporting a stakeholder-first approach to data usability and access. KEY SKILLS AND REQUIREMENTS Extensive experience operating within Snowflake environments Airflow for data orchestration. Proficiency in SQL and dbt, with a strong understanding of data modeling best practices. Strong communication skills with the ability to translate complex needs into elegant data solutions. Focus on usability, documentation, and data clarity. Comfortable working independently in a dynamic, fast-changing environment. DESIRABLE SKILLS Experience rebuilding or refactoring a Looker instance from scratch. Familiarity with Snowflake performance tuning and cost optimization. Experience scaling analytics across a cross-functional organisation HOW TO APPLY Please register your interest by sending your CV via the apply link on this page.

A Senior Pricing Analyst opportunity within a data-led business where pricing decisions have a direct impact on commercial performance. You'll work across pricing, analytics, and business teams to improve segmentation, monitor performance, and support pricing strategy. The Company They are a customer-focused organisation investing in their pricing and analytics capability. Data plays a key role in business decisions, with teams working closely together to drive performance and improve customer outcomes. They offer a collaborative environment with opportunities to develop technical and commercial skills. The Role You will support the development and delivery of pricing strategies across a large customer portfolio.Responsibilities include: Developing and refining pricing and customer segmentation models Analysing performance data to identify trends, risks, and opportunities Monitoring pricing performance and portfolio outcomes Producing analysis to support pricing decisions and business strategy Working with stakeholders across commercial, product, and analytics teams Presenting insights and recommendations to both technical and non-technical audiences Your Skills & Experience SQL/Python and experience in pricing, commercial analytics, revenue management, or a related analytical role Background in insurance, telecommunications, gambling, travel, or another consumer-focused industry Strong analytical and problem-solving skills Ability to communicate insights clearly to stakeholders Experience working with customer, product, or pricing data What They Offer Salary up to £55,000 Annual bonus Hybrid working

Digital Marketing & Social Media Consultant London Inside IR35Day rate - £300 - £350 This is an exciting opportunity to support high-impact digital campaigns that focus on public awareness, education, and positive social change. Working across a range of digital channels, you will help deliver campaigns designed to engage audiences, promote important issues, and combat the spread of misinformation. The Company They are a mission-driven organisation delivering digital communications and awareness campaigns on topics that have a meaningful societal impact. Their work spans areas such as environmental issues, equal rights, and public awareness initiatives. They combine strategic thinking with data-led decision making to maximise campaign reach and effectiveness. As they continue to expand their campaign activity, they are looking for a versatile Digital Marketing & Social Media Consultant to support a range of projects. The Role and Deliverables Plan, execute, and optimise paid social media campaigns focused on awareness and audience engagement. Manage activity across key platforms including Meta, YouTube, and TikTok. Conduct digital channel audits and provide recommendations to improve performance and effectiveness. Support digital strategy initiatives across social media and web channels. Deliver training and guidance on digital and social media best practices where required. Review website performance and accessibility considerations, ensuring a positive user experience for diverse audiences. Your Skills & Experience Strong experience running paid social media campaigns centred on awareness, education, or engagement objectives. Hands-on expertise across Meta, YouTube, and TikTok advertising platforms. Broad digital marketing experience with the ability to work across multiple channels rather than within a single specialism. Experience conducting channel audits and translating findings into actionable recommendations. Working knowledge of GA4 and digital performance measurement. Understanding of website accessibility principles and user experience best practices. Comfortable operating in a hybrid environment and collaborating with a range of stakeholders.

Harnham - Data & Analytics Recruitment seeks a Digital Marketing & Social Media Consultant to support high-impact campaigns in London. You will plan, execute, and optimise paid social media activities across Meta, YouTube, and TikTok to raise awareness and engagement. You will audit channels, contribute to digital strategy, and provide training on best practices while ensuring accessibility and a positive user experience across web and social channels.

Data Engineer Up to £45,000 + Benefits Liverpool (Hybrid, 1 day per week in the office) This is a fantastic opportunity to join a purpose-driven organisation where you can take ownership of building and maintaining data pipelines across a modern Microsoft and cloud-based data platform. You'll work within a growing Data Engineering team and play a key role in shaping the future of the company's data infrastructure. THE COMPANY: Our client delivers a wide range of services designed to transform people's lives and strengthen communities. As the organisation continues investing in its data capabilities, they are expanding their Data Engineering team. THE ROLE: You will take ownership of developing and maintaining scalable data solutions across a modern Azure, Snowflake, and Fabric ecosystem. Key responsibilities include: Building and maintaining data ingestion pipelines using Azure Data Factory (ADF) and Snowflake. Developing and supporting data warehousing solutions and dimensional data models. Creating and optimising datasets to support reporting, analytics, and business insights. Supporting the ongoing migration and development of solutions within Microsoft Fabric. Collaborating with analysts and stakeholders to deliver high-quality, trusted data assets and documentation. YOUR SKILLS AND EXPERIENCE: You will bring strong capability in: Data engineering experience, ideally 1-2 years in a dedicated engineering role. Building and maintaining ETL / ELT pipelines. Data warehousing concepts and dimensional modelling. Strong SQL skills and experience working within cloud-based data environments. THE BENEFITS: You will receive a salary of up to £45,000 depending on experience, along with an excellent benefits package. HOW TO APPLY: Please register your interest by sending your CV to Molly Bird via the apply link on this page.

Lead AI Engineer London (Hybrid) Up to £110,000 + 15% Bonus + Excellent BenefitsThis is an opportunity to join a business investing heavily in AI and automation, where you will play a key role in shaping and delivering production-grade Generative AI solutions at scale. Working across high-impact initiatives, you will have the autonomy to influence technical strategy, own solution delivery, and drive measurable business outcomes. The Company They are a well-established, technology-driven organisation undergoing significant AI transformation. With strong executive sponsorship and a growing pipeline of AI initiatives, they are embedding AI into critical business processes to improve customer experience, operational efficiency, and decision-making.You will join a newly established AI function within a wider engineering and MLOps environment, working alongside experienced engineers to deliver innovative, enterprise-scale AI products. The team operates in a fast-paced, collaborative setting where technical expertise and commercial impact are highly valued. The Role As a Lead AI Engineer, you will take ownership of the design, architecture, and delivery of AI solutions from concept through to production.Responsibilities include: Leading the end-to-end delivery of Generative AI and agentic AI solutions Designing and building LLM-powered applications and intelligent automation tools Making key architecture, tooling, and platform decisions across multiple initiatives Evaluating build versus buy approaches and recommending scalable solutions Establishing engineering standards, reusable frameworks, and best practices Ensuring AI systems are production-ready through monitoring, evaluation, governance, and observability Working closely with engineering, security, data protection, and business stakeholders Providing technical leadership and mentoring across AI workstreams Driving AI initiatives that deliver measurable operational and commercial value Your Skills & Experience You will demonstrate strong commercial experience in: Delivering Generative AI solutions into production environments Leading AI projects end-to-end, from discovery through deployment Designing scalable AI architectures within enterprise environments Building LLM-powered applications, RAG solutions, and agent-based systems Software engineering fundamentals, including APIs, distributed systems, and cloud platforms Technical decision-making in fast-moving or ambiguous problem spaces Working within governance, security, and compliance frameworks Influencing stakeholders and communicating complex technical concepts clearlyDesirable experience includes: AWS cloud technologies MLOps or LLMOps practices Financial services or other regulated industries Building reusable AI platforms, frameworks, or internal products What They Offer Salary up to £110,000 15% annual bonus Hybrid working with flexibility and a strong focus on outcomes Generous pension contribution Private medical cover Enhanced parental leave policies Holiday purchase scheme The opportunity to influence AI strategy across a growing function Exposure to a broad range of cutting-edge Generative AI use cases High visibility and genuine ownership of business-critical AI initiatives How to Apply If you are an experienced Lead AI Engineer with a proven track record of delivering production-grade Generative AI solutions, apply today to discuss this opportunity in more detail.

I'm hiring a Senior Data Scientist to join a leading UK insurer's Pricing & Data Science function, working on innovative machine learning solutions that directly influence risk assessment, pricing, fraud detection, and commercial performance. This is a role for someone who enjoys taking models from problem definition through to deployment , working with modern ML techniques and real-world commercial challenges. 1 day/week (Leicester / London / Bexhill) £60k-£100k What you'll be doing Build and deploy predictive models across pricing, claims, fraud, and risk analytics. Engineer new data assets and rating factors to improve pricing performance. Identify and leverage new data sources to drive business value. Partner with stakeholders across Pricing, Data Science, Analytics, and Engineering teams. Own ML projects end-to-end, including EDA, deployment, monitoring, and model refreshes. What they're looking for - Proven experience delivering ML projects from concept to deployment. - Strong Python and SQL skills. - Experience with Azure ML, Git, and cloud-based analytics environments. - Strong stakeholder engagement and commercial problem-solving capability. - Passion for applying emerging ML techniques to real business problems. Why join? Work in a highly respected pricing and analytics function. Bonus scheme + £5k car allowance. Private medical cover and strong benefits package. Opportunity to work on innovative modelling and pricing challenges at scale.

Contract Credit Risk Modeller £560-£640 per day Inside IR35 Fully remote Three-month contract The company Harnham is partnering with a leading financial data and analytics organisation to recruit a hands-on Credit Risk Modeller for an initial three-month engagement. You will join its UK Product Analytics and Innovation team, supporting the rapid development of a new credit-risk product. The role You will independently build a point-of-application credit risk scorecard from raw data through to a validated, production-ready MVP. Your responsibilities will include: Ingesting, joining and cleaning complex customer and credit datasets Constructing development samples and defining observation and performance windows Establishing appropriate good/bad definitions Engineering characteristics and treating missing and special values Performing monotonic binning, Weight of Evidence and Information Value analysis Developing an interpretable logistic-regression scorecard Completing feature selection, model tuning and points-based score scaling Validating the model using measures such as Gini, KS, AUC, PSI and out-of-time testing Producing clear technical documentation and supporting production implementation Your skills and experience The successful candidate will have: Personally built and deployed at least two end-to-end consumer or commercial credit scorecards Advanced hands-on Python experience within credit-risk modelling Strong SQL skills and the ability to prepare complex modelling datasets independently Practical experience with WoE, IV, binning, logistic regression and score scaling Experience defining modelling samples, performance windows and credit outcomes A track record of implementing scorecards within lending, underwriting, collections or credit decisioning The ability to write custom transformations and debug Python logic independently Experience delivering models within regulated financial-services environments Availability to begin immediately or at short notice Experience with credit-bureau, SME, commercial, Companies House or Open Banking data would be beneficial. GCP and BigQuery experience is also desirable, although other cloud platforms will be considered. Candidates should be prepared to discuss a previous scorecard build in granular detail during the interview, including feature choices, binning decisions, model trade-offs, validation results and their individual coding contribution.

Head of Analytics, Commercial Strategy London (Hybrid) £120,000 - £150,000 + Bonus + Equity A rare opportunity to own pricing, commercial analytics, and growth strategy within a fast-scaling fintech business. You'll work closely with senior leadership to drive revenue growth, optimise customer propositions, and shape key commercial decisions. The Company This high-growth fintech business is using technology, data, and analytics to transform how consumers access products through flexible subscription models. With strong backing, impressive growth, and ambitious expansion plans, analytics sits at the heart of decision-making across the organisation. The Role You will lead commercial analytics and pricing strategy across the business.Responsibilities include: Owning pricing strategy and experimentation Analysing unit economics, profitability, and growth opportunities Supporting new commercial partnerships with pricing and financial modelling Partnering with Product, Finance, Risk, and Commercial teams Building scalable analytics tools and frameworks Presenting insights and recommendations to senior stakeholders Your Skills & Experience Strong experience in commercial analytics, pricing, strategy, or growth analytics Advanced SQL and Python skills Experience working with large datasets and experimentation frameworks Ability to influence senior stakeholders and drive business decisions Background in fintech, lending, ecommerce, subscriptions, or digital businesses preferred What They Offer £120,000 - £150,000 base salary Bonus and equity Private healthcare Learning and development budget Hybrid working model Excellent progression opportunities How to Apply If you're looking for a commercially focused analytics leadership role with significant business impact, please apply today.