Future Tech Jobs Future Tech Jobs

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 →
Faculty AI logo

Lead Data Scientist

As a Lead Data Scientist, you will set the technical direction for complex, business-critical projects, ensuring high-quality, scalable delivery. You will mentor cross-functional teams, manage client relationships, and drive innovation in a fast-growing AI consultancy that works with global clients across various industries.

Faculty AI London, United Kingdom
Hybrid Permanent
Faculty AI logo

Principal Data Scientist

A Principal Data Scientist will lead high-impact AI projects for financial services clients, driving technical innovation in machine learning and Generative AI. The role involves mentoring teams, developing shared frameworks, and delivering scalable solutions in a regulated environment. Thought leadership through publications and client engagement is a key expectation.

Faculty AI London, United Kingdom
Hybrid Permanent

eDV Data Scientist

The Data Scientist will design and scale AI-driven solutions using machine learning, GenAI, NLP, and cloud technologies across public and private sector projects. This role involves leading technical teams, engaging with clients to define and deliver data solutions, and contributing to bids and proposals. Opportunities exist to publish research and present at conferences, with a strong emphasis on innovation and technical leadership in an inclusive environment.

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

Lead Data Scientist (Model Developer) / Deep Learning Practitioner

Lead the development and deployment of deep learning models to enhance credit underwriting systems using non-traditional and multi-modal data. Design and implement neural networks such as LSTMs, RNNs, and Transformers, translating research into production solutions while mentoring junior data scientists and collaborating with business stakeholders to deliver measurable impact.

Capital One Boultham, Lincolnshire, LN6 7TG, United Kingdom
Hybrid Permanent

Lead Data Scientist (Model Developer) / Deep Learning Practitioner

This role involves leading the development of advanced deep learning models to enhance underwriting capabilities. You will work with non-traditional datasets, build sophisticated neural networks, and collaborate with business stakeholders to drive initiatives from prototypes to production.

Capital One Mansfield, Nottinghamshire, United Kingdom
Hybrid Permanent

Senior Applied Data Scientist

As a Senior Applied Data Scientist, you will lead and deliver complex data science projects, applying machine learning and human creativity to solve real-world business problems. You will work closely with the Tesco Personalisation team to develop and deploy scalable personalisation solutions, collaborating with a team of 30+ data scientists.

dunnhumby London, United Kingdom
Hybrid Permanent

MOTOR INSURANCE PRICING PRACTITIONER / DATA SCIENTIST

Hybrid working - This leading and exciting Insurer are seeking a detail-oriented and organised Motor Insurance Pricing/Data Practitioner to join their Pricing and Underwriting team. They’ve built the kind of pricing infrastructure every pricing professional aspires to work with: High-quality,...

Clark James Recruitment Lime Street, City and County of the City of London, United Kingdom

Lead Data Scientist (Model Developer) / Deep Learning Practitioner

This role involves leading the development of advanced deep learning models to enhance underwriting capabilities, working with non-traditional datasets, and collaborating with business stakeholders to drive initiatives from prototypes to production. The position requires strong experience in deep learning, model development, and working with large datasets.

Capital One Nottingham, Nottinghamshire, United Kingdom
Hybrid Permanent
See all 71 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
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.

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.