Data Science Jobs

Harnham - Data and Analytics Recruitment · London · £110,000 – £120,000 pa

Own the fraud strategy for a technology-led financial services business, blending strategic leadership with hands-on data science. Build and deploy AI-driven fraud identification, including classifiers, anomaly detection, document intelligence and network analysis, and run fraud models in production with testing, CI/CD and monitoring. Partner with Product, Engineering, Credit and Operations to embed controls.

Harnham - Data and Analytics Recruitment · London · £140,000 – £150,000 pa

Lead a data research function, defining strategy with senior leadership and driving discovery of new data products and KPI methodologies. Oversee complex research programmes, evaluate structured and unstructured datasets, and set standards for statistical analysis and technical excellence. Also mentor a team of data professionals and promote AI and automation to improve research quality.

Faculty · London

Serve as a high-level technical authority steering the most complex AI projects, architecting scalable large-scale systems and setting technical direction for flagship initiatives. Provide authoritative advice across business units, influence company-wide technical strategy, and act as a respected expert for internal teams and external customers in the financial services space.

Faculty · London

Builds and maintains the internal delivery platform that supports over 100 data scientists and ML engineers, owning cloud infrastructure, MLOps and deployment tooling. Work spans infrastructure-as-code, DevSecOps, containerised microservices and multi-cloud integration across AWS, Azure and GCP, with a focus on removing technical friction for delivery teams.

Capital One · Loughborough

Lead the development of proprietary deep learning models to enhance underwriting capabilities, building neural networks such as LSTMs, RNNs and Transformers on structured and unstructured data. Set technical direction, manage projects, communicate with stakeholders and mentor junior team members, taking ideas from prototype to production.

Capital One · Lincoln

Lead the development of proprietary deep learning models to enhance underwriting capabilities, building neural networks such as LSTMs, RNNs and Transformers on structured and unstructured data. Set technical direction, manage projects, communicate with stakeholders and mentor junior team members, taking ideas from prototype to production.

Harnham - Data and Analytics Recruitment · London · £100,000 pa

Lead operational analytics strategy while staying hands-on with SQL, experimentation and statistical measurement. Manage a team of analysts supported by analytics engineering, define the analytics roadmap, and partner with senior stakeholders to improve operational performance, customer outcomes and AI-enabled tools such as chatbots and copilots.

Harnham - Data and Analytics Recruitment · London · £120,000 – £150,000 pa

Leads the integration of data science and analytics functions within a consumer business undergoing data transformation. Focuses on strategic direction, stakeholder influence, and delivery of measurable business impact through data-driven solutions. Redesigns reporting, drives self-serve analytics adoption, and scales a multidisciplinary team in a commercially driven environment.

Harnham - Data and Analytics Recruitment · London · £120,000 – £140,000 pa

Lead the data science function as an individual contributor, owning credit risk, collections and fraud modelling. Develop scorecards and decisioning models, apply machine learning to enhance the model suite, and drive implementation and profitability across the product range. Requires SQL and Python, with consumer lending and credit lifecycle knowledge desirable.

Harnham - Data and Analytics Recruitment · London · £70,000 – £80,000 pa

Own end-to-end delivery across data pipelines, modelling and reporting, building Azure-based pipelines and a Databricks lakehouse platform. Integrate finance and HR data via APIs, own the semantic and Power BI reporting layers, and shape data standards as the team grows.

Harnham - Data and Analytics Recruitment · London · £70,000 pa

Hands-on role owning the customer analytics agenda across lifecycle, segmentation, retention, loyalty and profitability, leading reporting and deep-dive analysis to turn complex datasets into clear commercial narratives for senior stakeholders. Includes a small leadership element managing 1-2 analysts, with advanced techniques such as clustering, regression and predictive modelling.

Harnham - Data and Analytics Recruitment · London · £50,000 – £65,000 pa

Join a growing data and analytics team where you'll deliver insight supporting data-driven marketing and commercial decisions. You'll build predictive models and machine learning techniques, prepare and cleanse data from multiple sources, and translate findings into clear stories for technical and non-technical audiences.

Harnham - Data and Analytics Recruitment · London · £70,000 – £90,000 pa

Owns pricing-focused data science, building predictive models of risk, customer behaviour and price sensitivity, and integrating new data sources to sharpen rates and tariffs. Uses simulation to estimate claim frequency and price responses, then translates findings into commercial recommendations for senior stakeholders. Hybrid role with at least one day a week in the London office.

Harnham - Data and Analytics Recruitment · London · £40,000 – £60,000 pa

Deliver campaign performance analysis, marketing effectiveness reporting and customer journey insight for a customer experience and marketing consultancy. Build dashboards and visualisations using SQL, Python and platforms such as GA4 and Adobe Analytics, supporting tagging and data capture while presenting findings to strategy, data and client teams.

Harnham - Data and Analytics Recruitment · London · £100,000 – £115,000 pa

Validates and challenges quantitative models across an investment organisation, conducting research into model performance, assumptions and limitations. Produces validation reports, presents findings to governance committees, and builds Python automation and tooling to improve risk processes. Sits within an independent risk function with heavy stakeholder engagement.