Data Science Jobs in London

The UK's financial and tech hub, home to a vast array of data science roles across industries.

Open roles
338
Salary range
£28k – £300k
Hiring companies
85

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.

Salary on the board

£28k – £300k

Based on advertised midpoints across the 106 priced listings posted in the last 12 months. Base salary only.

By seniority
£k base
Entry
28
45
3 jobs
Mid
33
130
24 jobs
Senior
45
300
48 jobs
Lead
50
240
19 jobs
Director
65
200
7 jobs
Live jobs

338 live roles

See all 338 roles

Research Manager - Data Services

This role involves managing and delivering quantitative research projects across diverse sectors, including political, consumer, and multi-market studies. You will lead client communication, manage accounts, design surveys, and mentor junior researchers while working with innovative research technology.

Harnham - Data and Analytics Recruitment London, United Kingdom £45,000 – £55,000 pa
Hybrid Permanent

Senior AI Platform Engineer

This role involves building and evolving an AI-driven platform that supports agentic workflows across design and engineering. You will design and build intelligent systems, develop orchestration layers, and deliver production-ready AI features using modern LLM frameworks. Collaboration with product managers and designers is key to ensuring user-focused and high-quality solutions.

Harnham - Data and Analytics Recruitment London, United Kingdom £90,000 – £130,000 pa
Remote Permanent

Research Data Scientist

As a Research Data Scientist at dunnhumby, you will work on developing and implementing advanced machine learning and statistical techniques to solve complex business problems. Your day-to-day responsibilities will include creating new science-based solutions, performing data analysis, and collaborating with cross-functional teams to deliver innovative solutions for global retailers and brands.

dunnhumby London, United Kingdom
On-site Permanent

Shopper Insights Client Lead

The role involves managing a portfolio of medium-sized clients, consulting on the use of dunnhumby's customer insight tools, and driving commercial value through relationships with CPGs and retailers. You will work closely with Waitrose to align client and retail priorities, support financial reporting, and provide thought leadership.

dunnhumby London, United Kingdom
Hybrid Permanent
ARM logo

Data Architect (SC Cleared)

The Data Architect role involves leading the design and delivery of secure, cloud-based data platforms, combining architectural strategy with practical implementation. The position requires experience in modern data patterns like lakehouse, streaming, and data mesh, as well as strong governance and security practices.

ARM London, United Kingdom £600 – £700 pd
Hybrid Contract Clearance Required

Lead Data Scientist - FinCrime

This role involves leading data-focused projects on financial crime and fraud, analysing large datasets to identify trends and risks, and supporting the design of monitoring and detection processes. You will work closely with business and technical stakeholders, translating data insights into actionable recommendations and supporting junior team members.

Data Idols Farringdon, Greater London, London, EC1M 4BJ, United Kingdom £95,000 – £120,000 pa
Hybrid Permanent
AI Security Institute logo

Research Engineer - Societal Impacts

The role involves designing, implementing, and running experiments to study the societal impacts of advanced AI, including human-AI interaction studies, data pipeline development, and model evaluations. The team works on high-impact projects with a focus on risk mitigation and responsible AI development.

AI Security Institute London, United Kingdom
On-site Permanent Clearance Required

Principal Metadata Management Lead

This role involves leading the design, implementation, and scaling of enterprise metadata management and data governance capabilities, specifically using Collibra EDC and Databricks Unity Catalog. You will act as a thought leader, ensuring data assets are discoverable, trusted, and reusable across the organization, and supporting the evolution of the enterprise data catalogue into a primary entry point for data discovery and access.

Tatton Recruitment South Bank, London, SE1 9PZ, United Kingdom
Hybrid Contract Part-time
The scene

Hiring in London

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.

FAQs

Common questions

  • 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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