The UK's financial and tech hub, home to a vast array of data science roles across industries.
London is the epicentre of the UK's data science ecosystem, boasting a diverse range of opportunities in finance, tech, healthcare, and more. Major financial institutions, tech scaleups, and research-heavy startups all vie for top data science talent, making it a dynamic and competitive market. The city's blend of established corporations and innovative startups ensures a rich variety of roles, from data analysts and business intelligence (BI) analysts to data scientists and statisticians. While many roles are based in central London, there is a growing trend towards hybrid and remote work, offering flexibility to professionals.
Based on advertised midpoints across the 56 UK listings priced in pounds in the last 12 months. Base salary only.
As a Senior AI Engineer at PoliceAI, you will lead the design, development, and deployment of AI-enabled products, translating policing needs into technical solutions. You will work with multidisciplinary teams to build secure, maintainable, and scalable services, and support the testing, evaluation, and validation of AI products.
This role involves designing and delivering machine learning and AI solutions for complex operational challenges, working closely with senior stakeholders to embed data science into real-world decision-making. You will lead technical workstreams, mentor colleagues, and stay current with AI advancements.
This role involves owning the marketing measurement capability, developing the Marketing Mix Modelling (MMM) framework, and designing incrementality experiments to optimize marketing spend. You will work closely with performance marketing teams and contribute to experimentation standards, translating complex statistical outputs into actionable insights.
The Asset Intelligence Officer will work within the Strategic Asset Data team, analysing and managing asset data to support investment planning, compliance, and service delivery. Key responsibilities include producing reports, mapping processes, and collaborating with stakeholders to improve data flow and quality across systems.
The Claims Data Analytics Lead will develop and implement a data and analytics strategy for claims operations, create analytical data products, and support management information delivery. They will also educate others on data literacy and maintain stakeholder relationships.
This role involves collecting and processing large datasets, developing machine learning models in Python, and leading small teams in the development and maintenance of data science products. You will collaborate with business partners to communicate key findings and stay updated with the latest industry trends.
The Head of Data & Performance will lead the College’s data analysis and performance monitoring, transforming complex data into actionable insights. Responsibilities include strategic decision-making, performance management, quality improvement, and regulatory compliance, working closely with senior leaders and teams across the College.
The Claims Analytics Lead will build strong relationships with claims stakeholders, translate business challenges into analytical solutions, and apply data science techniques to improve decision-making and performance. The role involves developing insights in claims forecasting, triage, severity, and operational performance, and working with technical teams to embed these insights into daily operations.
The most-listed roles in this cluster right now. Tap through to a role profile when one exists, or to the live search results.
London's data science job market is highly competitive, with a wide range of companies vying for top talent. Major financial institutions, tech scaleups, and research-heavy startups all offer exciting opportunities. The city's status as a global financial hub means that data science roles in finance are particularly prevalent, but there are also significant opportunities in tech and healthcare.
The trend towards hybrid and remote work has made London's data science jobs more accessible to a broader pool of candidates. This flexibility is particularly appealing to professionals who value a better work-life balance. However, the high cost of living in London remains a consideration for many.
Finance, tech, and healthcare are the primary industries hiring data scientists in London.
While many roles are based in central London, remote and hybrid work options are increasingly common.
Python, R, SQL, and machine learning frameworks like TensorFlow and PyTorch are widely used.
Salaries in London are generally higher due to the city's high cost of living and competitive job market. For specific salary ranges, refer to the salary section on this page.
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