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

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
Amazon logo

Data Scientist II, Intelligent Talent Acquisition

This role involves developing and deploying advanced scientific methods to optimize Amazon's hiring processes, focusing on system health monitoring and candidate quality. The Data Scientist will work on anomaly detection, root cause analysis, and the integration of Gen AI tools to enhance the reliability and efficiency of talent acquisition systems.

Amazon London, United Kingdom
On-site Permanent
Amazon logo

Data Scientist, network planning optimization world wide, Supply Chain Optimization Technology

This role involves developing advanced scientific solutions to optimize Amazon's fulfillment strategy across multiple regions, focusing on maximizing customer experience while minimizing costs and carbon footprint. You will collaborate with global scientific and technical teams to design optimization tools and influence business strategies, leveraging LLMs to enhance the explainability of optimization solutions.

Amazon London, United Kingdom
On-site 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 cross-functionally to drive sustainable growth.

Capital One Loughborough, Leicestershire, LE11 2QG, 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 Spondon, Derbyshire, United Kingdom
Hybrid Permanent
Faculty AI logo

Senior Data Scientist

As a Senior Data Scientist, you will lead high-impact AI projects, define data science approaches, and mentor junior colleagues. You will work on-site with defence clients 2-4 days per week, designing robust software architectures and building client relationships.

Faculty AI London, United Kingdom
Remote Permanent Flexible Clearance Required
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 highly regulated industry, focusing on financial services and AI solutions.

Faculty AI London, United Kingdom
Hybrid Permanent
ECM Selection logo

RF Data Scientist / Researcher

This role involves researching and developing advanced AI and machine learning techniques for processing RF signals, with a focus on signal recognition, identification, localisation, and manipulation. The work combines algorithm development in signal processing and machine learning, applied to real-world sensor data within a secure research environment. Candidates will be expected to produce robust software proofs of concept and contribute to high-quality technical publications.

ECM Selection London, United Kingdom £45,000 – £50,000 pa
Hybrid Permanent Clearance Required
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
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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