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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
71
Salary range
£28k – £150k
Hiring companies
33
View 71 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

£28k – £150k

Based on advertised midpoints across the 107 priced listings posted in the last 12 months. Base salary only.

By seniority
£k base
Entry
28
95
5 jobs
Mid
37
150
46 jobs
Senior
45
140
33 jobs
Lead
60
140
16 jobs
Skills & tools

What hiring managers ask for

% of 144 listings posted in the last 12 months that mention each skill, extracted from job descriptions.

Python
84%
Machine Learning
69%
SQL
40%
Data Science
26%
Deep Learning
24%
PyTorch
18%
NLP
15%
TensorFlow
15%
AWS
15%
Azure
15%
Feature Engineering
15%
Statistics
14%
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

71 live roles

See all 71 roles →

Data Scientist / Statistician (Model Developer)

This role involves developing and maintaining machine learning models to solve business problems and generate insights from complex data. You will work with Open Banking and Credit Bureau data, perform feature engineering, and collaborate cross-functionally to drive innovation and growth.

Capital One Mansfield, Nottinghamshire, United Kingdom
Hybrid Permanent

Data Scientist / Statistician (Model Developer)

This role involves developing and maintaining machine learning models to solve business problems and generate insights from complex data. You will work with Open Banking and Credit Bureau data, focusing on feature engineering and model risk management, while collaborating closely with business partners to drive innovation and growth.

Capital One Leicester, Leicestershire, United Kingdom
Hybrid Permanent
Faculty AI logo

Lead Data Scientist - Customer Development

In this role, you will lead the technical development of Faculty's Frontier product, designing and implementing AI-powered computational twins to optimize client decision-making. You will guide project teams, partner with clients, and mentor junior data scientists while staying current with AI advancements.

Faculty AI London, United Kingdom
Hybrid Permanent
Faculty AI logo

Senior Data Scientist

As a Senior Data Scientist at Faculty AI, you will lead high-impact AI projects, define data science approaches, and design robust software architectures. You will mentor junior colleagues, build client relationships, and contribute to the company's thought leadership through public speaking and open-source projects.

Faculty AI London, United Kingdom
Hybrid Permanent

Lead Data Scientist (Associate Director)

Lead data science and AI initiatives by driving end-to-end project delivery, from ideation to production, while mentoring a team of data scientists. Collaborate with senior stakeholders to align advanced analytics with business goals, develop proof-of-concepts, and champion innovation in machine learning and data science practices within a fast-paced FMCG environment.

Coca-Cola Europacific Partners Uxbridge, London, UB8 1SB, United Kingdom
Hybrid Permanent

eDV Data Scientist

This role involves developing and scaling AI-driven solutions using machine learning, GenAI, NLP, and computer vision within public and private sector projects. You'll work closely with clients to define technical solutions, lead Agile teams, and contribute to bids and solution architecture. Opportunities exist to publish research and present at conferences, supported by a focus on innovation and professional growth.

Searchability NS&D Manchester, United Kingdom £45,000 – £95,000 pa
On-site Permanent Clearance Required

eDV Data Scientist

This role involves developing advanced AI and machine learning solutions for public and private sector clients, with a focus on GenAI, NLP, and computer vision. You'll work on scalable data science platforms in cloud environments, lead Agile teams, and engage directly with stakeholders to deliver impactful digital solutions. Opportunities exist to contribute to thought leadership through publications and conferences.

Searchability NS&D London, United Kingdom £45,000 – £95,000 pa
On-site Permanent Clearance Required

Applied Data Scientist

As an Applied Data Scientist, you will work on complex problems in category management, leveraging advanced data science and machine learning techniques to deliver actionable insights for clients like Tesco. You will collaborate closely with client leadership to build scalable, reusable solutions that drive measurable value and innovation.

dunnhumby London, United Kingdom
Hybrid Permanent Flexible
See all 71 roles →
Top hirers

Companies hiring data scientists

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Hiring locations

Where this role is hiring

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

London

Location
30 open

Nottingham

Location
4 open

Cardiff

Location
2 open

Leicester

Location
2 open

Manchester

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.

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