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

AI Deployment Engineer

This role involves owning the data infrastructure and system integrations for AI deployments, ensuring reliable and scalable solutions. Responsibilities include building and maintaining data pipelines, APIs, and middleware, and troubleshooting integration issues.

Emponics Ec3V3Nh, EC3V 3NH, United Kingdom £80,000 – £130,000 pa
Permanent

Azure Data Platform Manager

This role involves leading the development and delivery of enterprise-scale Azure data solutions, collaborating with business stakeholders to identify data requirements, and driving data platform enhancements. The manager will oversee platform performance, manage third-party vendors, and promote best practices in data architecture and DevOps.

SSA Digital Recruitment London, United Kingdom £80,000 – £90,000 pa
Hybrid Permanent

Faculty Fellowship Programme - Data Science - October 2026

This Fellowship programme helps academics transition into data science careers through intensive training and a six-week project with a company. Fellows gain practical experience applying AI in real-world scenarios, culminating in a Demo Day to showcase their work to industry professionals.

Faculty London, United Kingdom
On-site Permanent

Data Governance Lead - Engineering Priority Data

This role involves designing and implementing a risk-based data prioritisation methodology for engineering data, ensuring alignment with regulatory requirements and business priorities. You will work closely with engineering, data, and risk teams to develop a pragmatic roadmap for data governance and compliance, focusing on practical and scalable solutions.

Hays Technology London, United Kingdom £750 – £900 pd
Hybrid Contract
Experis logo

Data Scientist

This role involves leading exploratory data analysis and supporting the development of high-quality dashboards and reporting products for a new digital screening service. You will work within an Agile team, collaborating with Data Engineers, Analysts, and UCD professionals to deliver robust, data-driven insights and scalable data solutions.

Experis London, United Kingdom £560 pd
Hybrid Contract Flexible
Databricks logo

Senior Solutions Engineer - Qatar & S.Africa Fly-in

(FEQ427R38)At Databricks, our core values are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim...

Databricks London, United Kingdom
Synthesia logo

SEO Manager

Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US.As AI continues to shape...

Synthesia London, United Kingdom
Hybrid Permanent
Databricks logo

Solutions Architect - Lakebase

The Solutions Architect (Lakebase) team executes on Databricks’ strategic Product Operating Model that provides enhanced focus on earlier stage, highly prioritised product lines in order to establish product market fit, and set the course for rapid revenue growth. They are...

Databricks 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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