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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 →
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, Alexa for Shopping Science UK

This role involves developing and optimizing AI-driven conversational shopping experiences for Alexa, focusing on multimodal interactions that combine text, images, audio, and video. The Data Scientist will analyze large-scale datasets using machine learning and NLP to improve product recommendations, customer engagement, and search accuracy. Work includes designing experiments, building predictive models, and collaborating with engineering teams to deploy scalable solutions in a research-rich environment.

Amazon London, United Kingdom
Hybrid Permanent
Isomorphic Labs logo

Data Scientist (Analytics), London

As a Data Scientist at Isomorphic Labs, you will work with a multidisciplinary team to analyze and optimize the performance of AI-driven drug design processes. Your role involves capturing and analyzing business intelligence data, implementing telemetry, and designing key metrics to drive informed decision-making across various teams.

Isomorphic Labs London, United Kingdom
On-site Permanent
ECM Selection logo

Data Scientist (Platform Development)

This role involves leading the development of data science pipelines and methodologies within a life science start-up. Responsibilities include algorithm development, maintaining data analysis pipelines, and implementing best practices in data analysis to generate insights from scientific data.

ECM Selection Cambridge, Cambridgeshire, United Kingdom

Data Scientist / Statistician

This role involves applying statistical and data science techniques to media audience measurement, working primarily on projects like Barb and RAJAR. You'll extract and analyse large datasets using R, Python, and SQL, develop methodologies, and communicate insights to technical and non-technical stakeholders. The position offers hands-on experience in data fusion, model development, and client-driven analysis within a specialist media measurement firm.

RSMB Holborn, London, WC1R 5AH, United Kingdom £28,000 – £35,000 pa
Hybrid Permanent

Data Scientist - Ecommerce, Marketing & Commercial Operations

This leading international Manufacturing & Retail Company is seeking a commercially focused and technically capable Data Scientist to join their Finance team to support a high growth phase into new markets.Client DetailsLeading international Manufacturing & Retail CompanyDescriptionThis leading international Manufacturing...

Michael Page Hinckley, Leicestershire, LE10 1NT, United Kingdom £45,000 – £50,000 pa

Data Scientist - London

This role involves building and deploying machine learning models, including NLP-based solutions, to generate actionable insights from real-world financial data. You'll design and maintain production-ready data pipelines, apply statistical methods for model validation, and collaborate with domain experts. The position emphasizes translating complex analytical findings into clear business recommendations within a structured financial services environment.

Michael Page London, City And County Of the City Of London, United Kingdom £80,000 – £90,000 pa
On-site Permanent

Data Scientist (AI)

This role involves developing advanced AI and machine learning models to support data-driven decision-making within a fast-growing team. The Data Scientist will focus on large-scale simulation and forecasting techniques, contributing to innovative solutions from an early stage. The position offers a high degree of influence on project direction with flexible remote working and occasional travel to Nottingham.

Opus Recruitment Solutions Nottingham, Nottinghamshire, United Kingdom £400 – £500 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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