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
58
Salary range
£42k – £113k
Hiring companies
28

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

£42k – £113k

Based on advertised midpoints across the 160 UK listings priced in pounds in the last 12 months. Base salary only.

Salary visibility
2% of listings advertise a salary — up from 0% the year before.
By seniority
£k base
Entry
29
75
5 jobs
Mid
45
90
53 jobs
Senior
50
119
44 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

58 live roles

See all 58 roles →

Data Scientist

The Data Scientist role involves analysing large datasets, developing predictive models, and collaborating with stakeholders to deliver actionable insights. You will work in a hybrid setup, supporting the strategic use of data in a market-leading financial services business.

Michael Page Leeds, West Yorkshire, United Kingdom £40,000 – £48,000 pa

Data Scientist

This role involves developing and enhancing workforce planning models for the NHS, using advanced analytics and simulation techniques to forecast demand and supply. The Data Scientist will work on high-profile projects, collaborate with analytical teams, and produce actionable insights and visualisations.

VIQU IT Cardiff, South Glamorgan, CF10 2AF, United Kingdom £300 – £325 pd

Data Scientist

Build and maintain Power BI dashboards, develop automated data solutions using Power Apps and Power Automate, and extract insights from data using SQL and Python. Work with cross-functional teams to deliver data-driven decision-making across a global engineering organisation. Focus on reporting, analytics, and process automation within complex data environments.

Seismic Recruitment Desford, Leicestershire, LE9 9GL, United Kingdom £19 – £26 pa

Data Scientist

This role involves developing and evaluating AI and machine learning solutions, particularly using GCP, LLMs, and RAG. You will work closely with project managers and developers to deliver scalable and well-documented applications, gather business requirements, and support technical troubleshooting and deployment.

DCV Technologies Manchester, United Kingdom £550 – £600 pd
On-site Contract

Data Scientist

This role involves designing, building, and improving machine learning models for agentic search, recommendation engines, and personalisation. You'll work with large datasets using Python, SQL, and Snowflake, focusing on model explainability and collaboration with Data, Product, and Engineering teams to enhance the customer discovery experience.

MRJ Recruitment Manchester, United Kingdom £450 – £525 pd
Contract

Data Scientist

This role involves building and deploying machine learning models to solve business challenges in financial services, collaborating with data engineering and analytics teams to create reproducible pipelines, and translating complex data into actionable insights. The position offers the opportunity to shape the data science practice within an established company.

Datatech Berkshire, United Kingdom £70,000 pa

Data Scientist

This role involves leading scientific research projects, developing new approaches to enhance imaging performance, and working with advanced technologies like X-ray, optics, and AI. You will use MATLAB extensively for data analysis, algorithm development, and technical reporting.

Euro Projects Recruitment Basford, Nottinghamshire, United Kingdom £35,000 – £40,000 pa

Data Scientist

This role involves applying statistical methods for anomaly detection, transforming raw telemetry into actionable insights, and working with mobile app KPIs. You will own features end-to-end, from data source to dashboard, and collaborate with QE, delivery, and product teams.

Innova Solutions London, United Kingdom £45 – £50 pa
Hiring locations

Where this role is hiring

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

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.