Part of the Future Tech Jobs (opens in a new tab) network
Sign in

Data Scientist Jobs

Experts who transform raw data into actionable insights. A core role in the data-driven decision-making process of modern organisations.

Open roles
28
Salary range
£45k – £120k
Hiring companies
17
View 28 live roles → Get an alert

Data Scientists are the linchpins of data-driven organisations, transforming vast amounts of raw data into meaningful insights that inform strategic decisions. They work across a range of industries, from finance and healthcare to retail and technology, using statistical models, machine learning, and data visualisation to uncover patterns and trends. Whether in a startup or a large corporation, Data Scientists play a crucial role in driving innovation and optimising business performance.

What the role does

Inside the role of a Data Scientist

A typical week for a Data Scientist is a mix of data exploration, model building, and stakeholder communication.

  1. 01
    Analyse large datasets to identify patterns and trends.
  2. 02
    Develop and validate statistical models and algorithms.
  3. 03
    Collaborate with cross-functional teams to understand business needs.
  4. 04
    Present findings and recommendations to stakeholders.
  5. 05
    Document and maintain data pipelines and models.
  6. 06
    Stay updated with the latest research and tools in data science.
Salary on the board

£45k – £120k

Based on advertised midpoints across the 138 priced listings posted in the last 12 months. Base salary only.

Salary visibility
1% of listings advertise a salary — up from 0% the year before.
By seniority
£k base
Entry
29
75
5 jobs
Mid
45
90
52 jobs
Senior
50
120
39 jobs
Lead
68
129
24 jobs
Skills & tools

What hiring managers ask for

% of 168 listings posted in the last 12 months that mention each skill, extracted from job descriptions.

Python
86%
Machine Learning
68%
SQL
40%
Deep Learning
25%
Data Science
24%
PyTorch
21%
TensorFlow
19%
Azure
15%
Time Series Analysis
15%
NLP
15%
AWS
15%
Feature Engineering
13%
Career ladder

From Junior to Principal

A typical UK progression for data scientists. Years are guidance — strong people move faster, and many senior folks sidestep into research, product or management.

  1. Level 1

    Junior Data Scientist

    0–2 yrs

    Assist in data collection and cleaning, and support more senior team members in model development and analysis.

  2. Level 2

    Data Scientist

    2–5 yrs

    Own specific projects, develop and validate models, and communicate insights to stakeholders.

  3. Level 3

    Senior Data Scientist

    5–8 yrs

    Lead complex projects, mentor junior team members, and influence strategic decisions with data-driven insights.

  4. Level 4

    Principal Data Scientist

    8+ yrs

    Drive the overall data strategy, lead a team of data scientists, and collaborate with C-level executives.

Pathway

How to become a Data Scientist

There's no single route, but most people follow some version of these steps.

  1. 1

    Acquire foundational skills

    Gain a strong understanding of statistics, programming, and data manipulation. Complete relevant courses or a degree in a quantitative field.

  2. 2

    Build a portfolio

    Work on personal or open-source projects to build a portfolio that showcases your data science skills and expertise.

  3. 3

    Gain practical experience

    Secure internships or entry-level roles to gain hands-on experience in a professional setting. Learn to work with real-world data and business challenges.

  4. 4

    Specialise in a domain

    Choose a specific industry or domain, such as healthcare or finance, and deepen your knowledge and skills in that area.

  5. 5

    Lead projects and teams

    Take on leadership roles, manage projects, and mentor junior team members. Develop your communication and management skills.

  6. 6

    Influence strategic decisions

    Collaborate with C-level executives to drive the organisation's data strategy. Influence key business decisions with data-driven insights.

Live jobs

28 live roles

See all 28 roles →

Data Scientist

This role involves developing and deploying customer-focused machine learning models, including customer segmentation, CLTV modelling, demand forecasting, and targeted promotions. You'll work closely with the Lead Data Scientist and other stakeholders to build scalable solutions and shape best practices in a growing Data Science team.

Harnham - Data and Analytics Recruitment Merseyside, United Kingdom £45,000 – £50,000 pa
Hybrid Permanent
Genomics England logo

Genomic Data Scientist (we have office locations in Cambridge, Leeds & London)

This role involves conducting advanced genomic data analysis and interpretation projects focused on rare and complex diseases, using whole genome sequencing and multi-omics datasets. The Genomic Data Scientist will develop and apply state-of-the-art computational methods, collaborate with multidisciplinary teams and external partners, and contribute to research outputs such as publications and conference presentations. Key responsibilities include data preparation, custom analysis, pipeline development, and translating research findings into actionable insights for healthcare and drug discovery.

Genomics England Canary Wharf, London, E14 5AB, United Kingdom £55,500 – £65,000 pa
Hybrid Permanent
Experis logo

Principal Data Scientist (Fine-tuning & Model Optimisation)

Lead the design and implementation of fine-tuning strategies for large language models, including SFT, LoRA, and QLoRA, within regulated, real-world environments. Build evaluation frameworks, select base models, and drive models into production while mentoring a technical team. This role involves shaping AI model development from first principles and working across data, domain, and product teams to deliver production-grade AI systems.

Experis United Kingdom £110,000 – £130,000 pa
Faculty AI logo

Principal Data Scientist

This role involves leading high-impact, technically complex AI projects for financial services clients, with a focus on Generative AI and agentic systems. The Principal Data Scientist will drive innovation through hands-on development, mentorship, and thought leadership, while shaping best practices and technical direction across the organisation. They will also contribute to client strategy and bid processes, ensuring responsible and effective deployment of AI solutions.

Faculty AI London, United Kingdom
Hybrid Permanent

Senior Data Scientist (Safety)

Lead the development of novel AI safety evaluation frameworks and software architectures for high-stakes national security and frontier AI lab engagements. Mentor technical teams, design scientific experiments, and ensure rigorous methodology across projects focused on responsible AI deployment. Work at the intersection of government, defence, and cutting-edge AI research to shape upstream safety standards.

Faculty London, United Kingdom
Hybrid Permanent

Principal Data Scientist

A Principal Data Scientist will lead high-impact machine learning initiatives within the Defence sector, driving technical strategy, client engagement, and delivery of ethical AI solutions. The role involves shaping AI roadmaps, mentoring junior scientists, and writing production-grade code. Work includes on-site collaboration with government clients and setting technical standards across complex projects.

Faculty London, United Kingdom
Hybrid Permanent

Senior Data Scientist

The role involves end-to-end ownership of international analytics and data science operations for a SaaS company, focusing on revenue monitoring, regulatory reporting, and maintaining production ML models across the UK and Canada. The individual will troubleshoot data pipelines, support email campaigns and experimentation, handle urgent regulatory requests, and ensure model health without rebuilding. Emphasis is on operational reliability, cross-functional collaboration, and clear communication under tight deadlines.

EF Recruitment London, United Kingdom £400 – £450 pd

Research Data Scientist

A Research Data Scientist role focused on developing machine learning and statistical solutions for retail and consumer insights. The work involves exploratory data analysis, implementing models like clustering and neural networks, and turning research into reusable science modules. Key applications include insight automation, product assortment optimisation, and generative AI for product support.

dunnhumby London, United Kingdom
On-site Permanent
See all 28 roles →
Top hirers

Companies hiring data scientists

See all companies →
Hiring locations

Where this role is hiring

The locations with the most live listings for this role today.

London

Location
16 open

Edinburgh

Location
1 open

Leicester

Location
1 open

Cambridge

Location
1 open
FAQs

Common questions

  • Essential skills include strong statistical knowledge, programming proficiency (Python, R), data manipulation, and communication skills.

  • Gain relevant skills through courses or a degree, build a portfolio, and seek internships or entry-level roles to gain practical experience.

  • The typical progression is from Junior Data Scientist to Data Scientist, Senior Data Scientist, and finally Principal Data Scientist.

  • Key responsibilities include data analysis, model development, stakeholder communication, and staying updated with the latest research and tools.

  • Salaries vary based on experience and location. For more detailed salary information, please refer to the salary section on this page.

Hiring data scientists?

Post your role in 90 seconds and reach the specialist audience that already reads this page.

Post a job → See pricing

🍪 Basic, anonymous analytics (aggregate counts only, never shared) are always on. Accept to also enable third-party tools — Google Analytics, Microsoft Clarity, Mixpanel, Leadfeeder — which help us match you with relevant Data Science roles. We never sell your data or use it for cross-site advertising. See our Cookie Policy.