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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
44
Salary range
£42k – £150k
Hiring companies
23
View 44 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

£42k – £150k

Based on advertised midpoints across the 36 priced listings posted in the last 12 months. Base salary only.

By seniority
£k base
Entry
42
45
1 job
Mid
45
150
14 jobs
Senior
60
140
13 jobs
Lead
67
125
6 jobs
Skills & tools

What hiring managers ask for

% of 21 listings posted in the last 12 months that mention each skill, extracted from job descriptions.

Python
86%
Machine Learning
81%
Deep Learning
52%
Data Manipulation
43%
SQL
38%
PyTorch
38%
Data Science
33%
TensorFlow
29%
Statistics
24%
Feature Engineering
24%
Model Risk Management
24%
Open Banking
24%
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

44 live roles

See all 44 roles →

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

Data Scientist - Operational & Optimisation-Focused AI£700+ per day | Inside IR35 | Long-term programme (2-3 years)I'm currently looking for Data Scientists to join a highly capable, collaborative team working on real operational problems at serious scale within a well‑established,...

Hays Technology London, United Kingdom £600 – £1,000 pd

Data Scientist

Data Scientist* Exeter, Devon (Hybrid-working minimum of x2 days in the office you must be based locally)* c£55,000 per year* Plus an excellent benefits package (including Pension, Bonus, Life Insurance, Healthcare, etc.)Skills and Experience:* Expert proficiency in Python for data...

ISR Recruitment Exeter, Devon, United Kingdom £50,000 – £60,000 pa
Hybrid Permanent

Data Scientist

In this role, you will join the Data Science team at the ASA, working on the Active Ad Monitoring system to proactively monitor and regulate online advertising. You will analyze large volumes of ads, using Python and AI models to extract insights and help tackle issues like misleading claims and influencer marketing. The role involves close collaboration with non-technical teams to ensure the technical solutions have a real-world impact.

Advertising Standard Authority Old Street, London, United Kingdom £45,000 – £60,000 pa
Hybrid Permanent Flexible

Data Scientist

Senior Data Scientist / Product Analyst II - Engineering PlatformLocation: London, UK (Hybrid)The MissionBehind every global streaming giant is a massive engine of internal tools and infrastructure. We are looking for a data expert to join our Platform Insights team....

Randstad Technologies Recruitment London, United Kingdom
Amazon logo

Data Scientist II, RufusX Science UK

This role involves developing and optimizing large language models to enhance the conversational AI capabilities of Rufus, Amazon's shopping assistant. Responsibilities include designing evaluation frameworks, conducting A/B tests, and collaborating with cross-functional teams to improve customer engagement and system performance.

Amazon London, United Kingdom
On-site Permanent
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
Adecco logo

Data Scientist - Product focused (Python)

This role involves working closely with Customer Success, Product, and Engineering to translate customer needs into data science problems, design and prototype features, and integrate them into a scalable SaaS platform. You'll play a key part in shaping the product roadmap and customer experience, with a focus on delivering clear, engaging data outputs and influencing product direction.

Adecco Bristol, Bristol (county), United Kingdom
Hybrid Permanent
See all 44 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
16 open

Nottingham

Location
3 open

Leicester

Location
2 open

Manchester

Location
1 open

Leeds

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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