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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 →
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
Faculty AI logo

Data Scientist

As a Data Scientist, you will work closely with clients and cross-functional teams to define project scope, ensure technical feasibility, and deliver bespoke data science solutions. You will design and implement algorithms and software architectures, build strong client relationships, and contribute to Faculty's thought leadership through teaching and public speaking.

Faculty AI London, United Kingdom
Hybrid Permanent Clearance Required

Data Scientist

Data Scientist | Cardiff / Hybrid | Engineering | AI & Predictive AnalyticsWe're supporting a growing engineering business looking to hire a Data Scientist to help develop scalable ML and AI solutions across compliance, risk and contractor analytics platforms.You'll work...

Yolk Recruitment Cardiff, South Glamorgan, CF10 2AF, United Kingdom £60,000 – £70,000 pa

Data Scientist

This role involves hands-on data science work, contributing to the design, analysis, and build of solutions for real business problems. You will work on multiple projects, collaborate with engineers and analysts, and focus on production-focused initiatives with tangible impact.

Guidant Global London, United Kingdom £600 – £850 pd
On-site Contract Clearance Required

Data Scientist

This role involves developing advanced data science solutions using Bayesian inference, probabilistic modelling, and machine learning to tackle complex scientific and industrial challenges. You'll work on proprietary tools and real-world applications in sustainable industry and molecular discovery, contributing to both client projects and core technology development. The position offers deep technical engagement with opportunities to collaborate with academic researchers and influence the company’s scientific direction.

JobHeron London, United Kingdom £54,000 – £58,000 pa
Hybrid Permanent

Data Scientist

This role involves building production machine learning models from the ground up within a growing insurance business. You'll develop pricing and customer behaviour models, improve LTV predictions, and help define the company's long-term data science and MLOps strategy. Working closely with senior leadership, you'll have high ownership and direct impact across pricing, marketing, claims, and customer analytics in a greenfield environment.

Maxwell Bond London, United Kingdom £50,000 – £70,000 pa
Hybrid Permanent

Data Scientist

This role involves developing and deploying machine learning models to solve real-world business problems using diverse data sources. The Data Scientist will perform exploratory data analysis, collaborate with senior teams and clients, and contribute to model monitoring and workflow improvements. The position emphasizes best practices in data science, including documentation, code review, and ethical AI considerations.

Investigo Derby, Derbyshire, DE1 3AE, United Kingdom £37,000 – £45,000 pa
Hybrid Permanent

Data Scientist

This role involves developing and deploying machine learning models, analysing large datasets, and collaborating with cross-functional teams to support critical public sector services. The position is part of a high-impact project, focusing on data-driven initiatives and strategic decision-making.

Opus Recruitment Solutions Swindon, Wiltshire, United Kingdom £400 – £450 pd
Hybrid Contract
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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