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
353
Salary range
£28k – £300k
Hiring companies
90

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 111 priced listings posted in the last 12 months. Base salary only.

By seniority
£k base
Entry
28
50
4 jobs
Mid
33
130
24 jobs
Senior
45
300
49 jobs
Lead
50
240
20 jobs
Director
65
200
8 jobs
Live jobs

353 live roles

See all 353 roles
Snowflake logo

Principal Solutions Engineer - Observe by Snowflake

This role involves leading technical sales engagements for Observe by Snowflake, a SaaS observability platform built on the Snowflake AI Data Cloud. The Principal Solutions Engineer will conduct technical discovery, deliver tailored demonstrations, manage proof of concepts, and act as a bridge between sales and product teams. The position emphasizes deep expertise in observability, cloud-native technologies, and customer-facing technical leadership within a fast-growing AI-driven data environment.

Snowflake London, United Kingdom
Hybrid Permanent
Amazon logo

Data Scientist II, Alexa for Shopping Science UK

This role involves developing and optimizing AI-driven conversational shopping experiences for Alexa, focusing on multimodal interactions that combine text, images, audio, and video. The Data Scientist will analyze large-scale datasets using machine learning and NLP to improve product recommendations, customer engagement, and search accuracy. Work includes designing experiments, building predictive models, and collaborating with engineering teams to deploy scalable solutions in a research-rich environment.

Amazon London, United Kingdom
Hybrid Permanent

Senior Data Scientist (LLMs, RAG, GCP & Agentic Systems)

Senior AI Engineer (LLMs, RAG & Agentic Systems) | £75,000 - £90,000 | London HybridAn award-winning and highly innovative organisation is looking to hire a Senior AI Engineer to join a growing AI and Data Science function delivering cutting-edge AI...

Robert Walters London, United Kingdom £75,000 – £90,000 pa

Lead Engineer - Workplace Technology & Automation

This role involves leading technical architecture and automation initiatives for workplace technology, focusing on Microsoft 365, Copilot, and enterprise AI integration. The engineer will drive automation across support processes and platform operations, design reusable solutions, and act as an internal consultant to improve service delivery using agile practices. Key responsibilities include building custom AI agents, improving integrations with platforms like ServiceNow, and implementing infrastructure-as-code.

dunnhumby London, United Kingdom
Hybrid Permanent

Senior Data Analyst

Senior Data Analyst (Contract)Location: London (Hybrid)Contract: Fixed-Term / Contract RoleAbout the RoleWe are seeking an experienced and highly collaborative Senior Data Analyst to join a multi-national cruise and tour operating company on a contract basis. This role will support the...

C&M Travel Recruitment London, United Kingdom

Staff Engineer (AI)

Build and scale an AI-native data platform from the ground up within a high-growth, private equity-backed organisation. Work in a fast-paced environment to rapidly prototype and productionise data-heavy systems, transforming complex data assets into user-ready products. Collaborate closely with senior engineers and leadership to shape architectural direction and modernise early-stage prototypes.

Harnham - Data and Analytics Recruitment London, United Kingdom £150,000 – £200,000 pa
Hybrid Permanent

Senior Data Architect - Finance - London

Senior Data Architect - Finance - LondonA small but growing consultancy is seeking an experienced Senior Data Architect to play a key role in shaping and governing enterprise data architecture across a complex, highly regulated environment.This is a hands-on architecture...

Tenth Revolution Group London, United Kingdom £90,000 – £100,000 pa

Data Scientists

Data Scientist – London - HybridJob descriptionBDO Regulatory Solutions are currently recruiting for a Data Scientist to join our client, a Regulated firm, based in London.We are offering an initial 6-month contract starting in September with an excellent day rate,...

BDO London, United Kingdom
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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