Harnham - Data & Analytics Recruitment

Data Scientist (Advanced Analytics) London / Hybrid (2 days per week) Up to £65,000 We are partnering with a leading UK data and analytics organisation to recruit a Data Scientist into its growing Data Science team. The business combines proprietary data, analytical expertise and advanced modelling capabilities to help organisations better understand their customers, predict behaviours and make more informed decisions. The Role As a Data Scientist, you will develop and implement predictive models to solve a range of client challenges, with a particular focus on propensity modelling, customer segmentation and behavioural analytics. Working alongside industry specialists, project managers and data analysts, you will be involved throughout the project lifecycle, from understanding client requirements and exploring data through to model development, training and presenting findings. Key responsibilities will include: Developing predictive models and statistical solutions to address client challenges. Building and refining propensity models, customer scorecards and segmentation models. Analysing complex datasets to identify trends, patterns and actionable insights. Working with stakeholders to understand business requirements and participate in data discovery sessions. Training, testing and optimising models to improve performance and accuracy. Translating analytical findings into clear recommendations and presenting these to clients. Working collaboratively with Data Analysts, Project Managers and subject matter experts. The Ideal Candidate We are looking for a commercially minded Data Scientist with strong analytical capabilities and an interest in applying data science to real-world business problems. You will ideally have: Strong commercial experience in a Data Science or Predictive Analytics role. Excellent Python and SQL skills. Experience developing predictive models, particularly propensity or behavioural models. A good understanding of statistical modelling, machine learning and data analysis techniques. Experience working with large and complex datasets. The ability to communicate technical findings to non-technical stakeholders. Confidence presenting insights and engaging directly with clients. Desirable: Experience with Databricks and Azure cloud environments. The Opportunity You'll join an established Data Science function within a well-regarded data and analytics business, working across a diverse client base and a variety of interesting modelling projects. The role offers a blend of hands-on technical development, analytical problem-solving and client interaction, providing the opportunity to develop your modelling expertise while seeing the direct impact of your work. Location: London - hybrid, typically 2 days per week in the office. Flexibility may be considered for candidates based further north. Salary: Up to £65,000. For a confidential discussion, please get in touch.

Senior Cloud Engineer (AWS) Up to £75,000 + Benefits Oxford / Hybrid This is a fantastic opportunity to join a growing consultancy and technology business where you will take ownership of building and shaping AWS capability from the ground up. THE COMPANY: This organisation delivers cloud, data and digital transformation solutions to a wide range of clients. It has a strong reputation for solving complex business challenges and delivering measurable outcomes for customers.As part of its ongoing technology evolution, the business is expanding its cloud engineering capability and investing heavily in a future multi-cloud strategy, creating an opportunity for an experienced AWS specialist to make a significant impact. THE ROLE: You will take ownership of establishing and scaling AWS capability within the business. Acting as the AWS technical authority, you will help define architecture standards, governance frameworks and engineering best practices whilst remaining highly hands-on.Key responsibilities include: Designing and building AWS cloud infrastructure and landing zones Defining cloud architecture, governance and security standards Driving Infrastructure as Code adoption Building and maintaining CI/CD pipelines across AWS and Azure environments Acting as the AWS SME Supporting the evolution of a multi-cloud environment YOUR SKILLS AND EXPERIENCE: You will bring strong capability in: AWS cloud architecture and engineering Terraform and Infrastructure as Code Cloud networking, security and governance CI/CD pipeline development using GitHub Actions and/or Azure DevOps Python, PowerShell and cloud automation tooling Designing scalable, secure and resilient cloud environments Stakeholder engagement and technical leadership AWS Landing Zones, Organisations and Control Tower THE BENEFITS: You will receive a salary of up to £75,000 depending on experience. HOW TO APPLY: Please register your interest by sending your CV to Molly Bird via the apply link on this page.

The Opportunity We're supporting a specialist data and analytics company that develops and licenses a proprietary customer intelligence platform used by enterprise clients. Their platform sits within client environments and leverages first-party customer data, transactions and behavioural events to identify where value is created, forecast future outcomes and drive customer growth through advanced analytics. They are looking for an experienced Contract Data Scientist to join a critical insurance-focused project and take ownership of model development from day one. The Project Working within the insurance sector, you'll build scalable customer analytics solutions focused on: Customer segmentation and clustering Propensity modelling Forecasting models Insurance customer behaviour analysis Large-scale model development and delivery A key deliverable will be the creation of a primary customer segmentation framework, including multiple sub-segmentations, alongside propensity models that support commercial decision-making. The project specifically focuses on motor and home insurance quote behaviour , so experience understanding insurance products, quote journeys and customer purchasing behaviour is essential. What You'll Be Doing Developing customer segmentation and clustering models Building propensity and predictive models Creating forecasting solutions using customer and transactional data Working within notebook-based analytics environments Packaging models for deployment and handing over to engineering teams Collaborating closely with Product, Data Science and Engineering leadership Essential Skills Strong commercial Data Science experience Proven background delivering segmentation and clustering projects Hands-on propensity modelling experience Advanced Python Experience working in Databricks and/or Microsoft Fabric Experience developing models within notebook environments Ability to quickly understand business problems and deliver at pace Insurance sector experience Highly Desirable Experience within motor or home insurance Understanding of insurance quote journeys and buying behaviour Experience delivering customer analytics projects using first-party customer data Previous contractor experience in fast-paced delivery environments

This is an opportunity to take ownership of some of the most commercially important marketing measurement challenges in a growing, data-driven business. You will shape how marketing investment is allocated, influence acquisition strategy, and build the models that drive long-term growth. The Company They are a digital business investing heavily in customer acquisition and marketing analytics. With ambitious growth plans and a commitment to data-led decision making, they are looking to significantly increase marketing spend while ensuring every investment is measurable and effective.Their analytics and data science function plays a role in strategic decision making, partnering closely with marketing leadership to optimise performance and identify scalable growth opportunities. The business embraces modern technologies and AI-enabled ways of working to maximise impact across the organisation. The Role As a Senior Data Scientist, you will work closely with the Head of Performance Marketing to evaluate marketing effectiveness, improve acquisition efficiency, and support significant budget growth.Key responsibilities include: Own and develop the Marketing Mix Modelling (MMM) framework to guide marketing investment decisions Analyse channel effectiveness and identify diminishing returns across paid media channels Build and maintain Lifetime Value (LTV) models that support acquisition and budgeting decisions Measure marketing incrementality through experimentation, lift studies, geo-testing and causal inference techniques Translate modelling outputs into clear budget recommendations and commercial actions Partner with marketing stakeholders to optimise customer acquisition performance as marketing investment scales Develop predictive models and advanced analytics solutions using Python and SQL Leverage AI tools to accelerate coding, experimentation and analytical workflows Drive best practice across marketing measurement, attribution and performance analytics Your Skills & Experience Strong commercial experience in Marketing Mix Modelling (MMM) Experience measuring incrementality and designing marketing experiments Expertise in customer lifetime value (LTV) modelling Strong understanding of marketing performance, attribution and channel effectiveness Advanced SQL and Python skills Experience working with Snowflake and dbt Strong statistical and causal inference knowledge Ability to communicate complex analytical findings to non-technical stakeholders Experience partnering closely with performance marketing teams What They Offer Salary up to £90,000 Fully remote working within the UK

Senior Data Scientist, Marketing Remote (UK) £70,000 - £90,000An exciting opportunity to join a fast-growing, data-driven business where marketing measurement sits at the heart of commercial decision-making. This role offers the chance to own advanced modelling initiatives, influence budget allocation, and shape how marketing performance is measured across the organisation. The Company They are a digitally-focused consumer business operating at scale, with a strong commitment to data-led decision making. Their collaborative culture empowers employees to take ownership of high-impact projects and influence business strategy. With a modern data stack and a growing analytics function, they offer an environment where experimentation and innovation are actively encouraged. The Role Own and develop the organisation's Marketing Mix Modelling (MMM) framework using modern modelling techniques. Deliver actionable insights on marketing effectiveness, media performance, and budget allocation. Design and evaluate incrementality testing programmes, including lift studies and geo-based experiments. Partner with Marketing teams to improve attribution, measurement, and channel performance. Build and maintain Lifetime Value (LTV) models to support acquisition and retention strategies. Apply statistical and causal inference techniques to identify growth opportunities and optimise investment decisions. Translate complex modelling outputs into clear recommendations for stakeholders. Your Skills & Experience Strong commercial experience in Marketing Mix Modelling, marketing measurement, or advanced marketing analytics. Excellent understanding of experimentation, incrementality testing, and causal inference methodologies. Strong statistical knowledge, including hypothesis testing, regression analysis, and experimental design. Advanced SQL skills and experience working with Python for analytics and modelling. Experience using modern data platforms and cloud-based analytics environments. Ability to communicate technical findings effectively to non-technical stakeholders. Comfortable working in a fast-paced environment with a high degree of ownership. What They Offer Salary of £70,000 - £90,000 depending on experience. Annual performance-related bonus. Flexible working and fully remote UK-based working arrangements. Private healthcare and enhanced pension contribution. Generous annual leave allowance. Opportunities to work on complex data science challenges with direct commercial impact. Clear scope for professional growth and progression within a growing data team. How to Apply If you're a Senior Data Scientist with expertise in marketing measurement, MMM, and experimentation, apply today to learn more about this opportunity.

Data Analyst/Scientist Location: Windsor (3-4 days onsite) Salary: Up to £60,000 An exciting opportunity for a Data Analyst/Scientist to join a growing organisation and help develop its data and analytics capabilities. Working within a small team, you will analyse complex datasets, improve data quality and deliver insights to support business decision-making. Key responsibilities: Analysing and interpreting data to identify trends and opportunities. Developing data models, reports and dashboards. Supporting forecasting and predictive analytics. Improving data quality and reporting processes. Working with stakeholders to deliver data-driven solutions. About you: Strong SQL and analytical skills. Experience in data analysis, modelling or data science. Experience with forecasting and predictive analytics. Exposure to Power BI and modern data platforms such as Snowflake. STEM-related degree. This is an excellent opportunity for a commercially minded, hands-on individual to join a growing team and make a real impact. Find out more and apply via the link below!

Data Analyst This is an opportunity to join a PE-backed business building its data and analytics capability. You'll work across data science, machine learning, and data modelling projects that support operational and commercial decision-making.They are investing in data, AI, and cloud technologies to improve processes and support growth. The analytics team works closely with stakeholders across the business to deliver reporting, forecasting, and machine learning solutions. The Role You will: Clean, transform, and prepare data from multiple sources Build and maintain data models within a cloud data platform Develop predictive models for workforce, occupancy, and operational forecasting Work with Snowflake or Databricks to support analytics and machine learning use cases Create features and datasets for modelling and reporting Deploy and monitor machine learning models Support data quality, governance, and documentation Partner with stakeholders to identify and deliver analytical solutions Your Skills & Experience Strong Python skills, commercial experience in advanced analytics Experience with data wrangling and data cleaning Experience designing and maintaining data models Experience working with Snowflake and/or Databricks Knowledge of predictive modelling, forecasting, and classification techniques Experience working with cloud-based data environments Ability to work with both technical and non-technical stakeholders