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

Head of Analytics (FS)

This senior leadership role involves shaping the future of analytics within a data-driven organisation. You will lead a centralised Analytics and MI function, driving the shift from reporting to actionable insights and embedding AI and automation into workflows. The role requires strong leadership, hands-on technical skills, and the ability to influence senior stakeholders across multiple departments.

Harnham - Data and Analytics Recruitment London, United Kingdom £90,000 – £150,000 pa
Permanent
Faculty AI logo

Platform Engineer

This role involves designing and maintaining the MLOps and deployment infrastructure that supports production-grade machine learning systems. You'll build and evolve containerised, cloud-agnostic platforms using Kubernetes and infrastructure-as-code, enabling data scientists to transition models from exploration to deployment. The position emphasizes ownership of scalable, secure DevSecOps pipelines across AWS, Azure, and GCP for diverse client environments.

Faculty AI London, United Kingdom
Hybrid Permanent
Faculty AI logo

Senior Manager - Insurance

This role involves leading and overseeing end-to-end AI project delivery for clients in the insurance sector, with a focus on commercial viability, risk management, and client relationship building. The Senior Manager will act as a strategic consultant, identifying new business opportunities, developing proposals, and mentoring cross-functional teams. The position emphasizes structured problem-solving in complex, regulated environments and driving adoption of AI solutions that deliver measurable business impact.

Faculty AI London, United Kingdom
Hybrid Permanent
Databricks logo

Senior Staff Software Engineer - Unity Catalog Runtime Enforcement

This role involves leading the development and hardening of the runtime enforcement layer for Unity Catalog within Databricks, ensuring secure and consistent data access across compute engines and clouds. The engineer will lead cross-organizational initiatives, drive automation and operability tools, and mentor team members while working on large-scale distributed systems. The position focuses on unifying enforcement semantics to reduce incidents and simplify customer experiences at scale.

Databricks London, United Kingdom
Synthesia logo

Software Engineer (Principal level)

A Principal-level Software Engineer will lead backend architecture and cross-team initiatives across a 90+ engineer organization, driving stability, standardization, and long-term technical direction. The role involves solving inter-service challenges, influencing engineering practices, and working across the full stack from React frontend to Python backend, with a focus on scalable SaaS and AI-powered video systems. This position requires deep technical leadership and strategic impact in a high-growth AI company.

Synthesia London, United Kingdom
Hybrid Permanent
Synthesia logo

Enterprise Account Executive DACH

Drive enterprise sales growth in the DACH region by landing and expanding AI video platform customers with 1,000–10,000 employees. Focus on value-based selling, pipeline development, and cross-functional collaboration with Customer Success to ensure adoption and expansion. Requires native German fluency and proven experience in methodological SaaS sales environments.

Synthesia London, United Kingdom
Hybrid Permanent
Databricks logo

Senior Forward Deployed Engineer - Senior Architect

Design and implement end-to-end data architectures on the Databricks platform for enterprise clients, solving complex big data and AI challenges. Lead technical project delivery, including architecture design, integration, and productionalization of use cases, while providing expert guidance on Spark, cloud ecosystems, and MLOps. Support customer adoption through hands-on development, training, and escalation resolution in a billable client-facing role.

Databricks London, United Kingdom
Remote Permanent
Faculty AI logo

Machine Learning Engineer

Design and deploy production-grade machine learning systems for high-impact clients, particularly in the defence sector. Focus on scalable ML infrastructure, cross-functional collaboration, and operationalising models in real-world environments. Work across the full ML lifecycle, from scoping to deployment, with a strong emphasis on security and ethical AI.

Faculty AI London, United Kingdom
Hybrid Permanent Flexible Clearance Required
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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