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
210
Salary range
£36k – £125k
Hiring companies
60

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

£36k – £125k

Based on advertised midpoints across the 75 priced listings posted in the last 12 months. Base salary only.

Salary visibility
37% of listings advertise a salary.
By seniority
£k base
Mid
45
90
11 jobs
Senior
56
125
24 jobs
Lead
50
125
11 jobs
Live jobs

210 live roles

See all 210 roles

Data Platorm Manager

This role involves shaping and delivering data products that support commercial growth, analytics enablement, real-time data, and AI use cases. You will manage the data product lifecycle, define the roadmap, and act as a liaison between business stakeholders and technical teams.

Harnham - Data and Analytics Recruitment London, United Kingdom £60,000 – £90,000 pa
On-site Permanent

Analytics Engineer

This role involves building and managing end-to-end data pipelines using Azure-based tools, developing a lakehouse-style platform with Databricks, and translating business requirements into robust data models. You will also own the semantic and reporting layers in Power BI, enabling self-serve analytics, and play a key role in shaping data standards and practices.

Harnham - Data and Analytics Recruitment London, United Kingdom £50,000 – £60,000 pa
Hybrid Permanent
Faculty AI logo

Customer Director (Maritime)

The Customer Director (Maritime) will establish and lead a new business unit focused on AI solutions for the Royal Navy, NATO/AUKUS, and maritime defence clients. This role combines strategic sales leadership with deep domain expertise, driving revenue growth, shaping AI-driven capabilities for naval operations, and overseeing delivery of high-impact technology projects. The role requires building senior-level relationships and translating complex maritime challenges into scalable, ethical AI solutions.

Faculty AI London, United Kingdom
Hybrid Permanent Clearance Required
Faculty AI logo

Senior Full Stack Software Engineer

Design and build full-stack web applications that operationalise AI insights for clients in highly regulated sectors. Lead technical architecture, mentor junior engineers, and collaborate with data scientists to deliver scalable, production-grade software. Work across TypeScript, Python, cloud platforms, and modern DevOps practices in a hybrid environment.

Faculty AI London, United Kingdom
Hybrid Permanent
Databricks logo

Forward Deployed Engineer - Emerging Enterprise & DNB

Design and implement data engineering and AI solutions on the Databricks platform for emerging enterprises and digital-native clients. Lead technical project delivery, provide architecture guidance, and resolve complex data challenges in collaboration with cross-functional teams. Create reference architectures, support migrations from legacy systems, and deliver production-grade implementations tailored to customer needs.

Databricks London, United Kingdom
Hybrid Permanent
Databricks logo

Deployment Strategist

Acts as a trusted advisor to C-suite stakeholders, leading discovery, value scoping, and MVP definition for high-impact AI deployments. Owns the product lifecycle from PRD creation to solution launch, guiding engineering teams through agile delivery while managing stakeholder alignment and de-risking adoption. Focuses on outcomes, not just platform implementation, with deep involvement from sales through to production.

Databricks London, United Kingdom
On-site Permanent
Synthesia logo

Senior Research Engineer - Data

Build and enhance large-scale data pipelines for generative AI models using video and audio data. Collaborate with research and model training teams to curate high-quality datasets and extract features that improve model performance. Work on a human-centric data lake within a fast-moving AI research environment.

Synthesia London, United Kingdom
Remote Permanent
Synthesia logo

Principal ML Platform Engineer

Design and build scalable, reliable systems for training, serving, and operating generative AI models in production. Develop internal tooling and automation to reduce operational overhead for researchers and engineers, with a focus on agentic workflows and platform-level abstractions. Collaborate closely with research and product teams to improve observability, debugging, and developer experience across distributed GPU environments.

Synthesia London, United Kingdom
Remote Permanent
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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