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1,858

User Researcher jobs in United Kingdom

PU Data Scientist

Red Bull Racing & Red Bull Technology

Milton Keynes
On-site
GBP 40,000 - 60,000
4 days ago
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Senior Data Scientist

Faculty

Bristol
Hybrid
GBP 60,000 - 80,000
4 days ago
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Advanced Biomedical Scientist - Microbiology * 2,000 Incentive*

NHS

Ipswich
On-site
GBP 47,000 - 55,000
4 days ago
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Biomedical Scientist - Blood Transfusion - Isle of Man - Sanctuary Personal

Sanctuary Personnel Ltd

Isle of man
On-site
GBP 60,000 - 80,000
4 days ago
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Senior Data Scientist

VanRath

Belfast
Hybrid
GBP 40,000 - 60,000
4 days ago
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Lead Applications Scientist

Croda Singapore

United Kingdom
On-site
GBP 50,000 - 70,000
4 days ago
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KTP Associate - Bioremediation Scientist in PL11

Energy Jobline ZR

Torpoint
On-site
GBP 25,000 - 35,000
4 days ago
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Industrial Water Treatment Scientist

Veolia

Trafford
On-site
GBP 28,000 - 37,000
4 days ago
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Senior Laboratory Research Scientist

Francis Crick Institute

City Of London
On-site
GBP 80,000 - 100,000
4 days ago
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Formulation Scientist

Vrieservice

Wirral
On-site
GBP 31,000 - 33,000
4 days ago
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Clinical Scientist

NHS University Hospitals of Liverpool Group

Liverpool
On-site
GBP 60,000 - 80,000
4 days ago
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Principal Data Scientist in London

Energy Jobline ZR

City Of London
On-site
GBP 100,000 - 135,000
4 days ago
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Principal Data Scientist in City of London

Energy Jobline ZR

City Of London
Hybrid
GBP 135,000 - 156,000
4 days ago
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Project Scientist 1 (Remote Site) in Dumfries

Energy Jobline ZR

Dumfries
Remote
GBP 30,000 - 45,000
4 days ago
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Lead Data Scientist - Agentic AI

Macquarie Bank Limited

City Of London
Hybrid
GBP 70,000 - 100,000
4 days ago
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Senior Risk & Process Safety Scientist (Band 3/SEO)

Health and Safety Executive

Earl Sterndale
On-site
GBP 80,000 - 100,000
4 days ago
Be an early applicant

Specialist Biomedical Scientist (Haematology/Transfusion)

Kettering General Hospital NHS Foundation Trust

Kettering
On-site
GBP 30,000 - 40,000
4 days ago
Be an early applicant

Data Scientist III, Analytics - Platform Analytics

Traveltechessentialist

City Of London
On-site
GBP 60,000 - 80,000
4 days ago
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Research Associate (Statistician)

KINGS COLLEGE LONDON

United Kingdom
On-site
GBP 45,000 - 53,000
4 days ago
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Associate Director, AI Data Scientist in Croydon

Energy Jobline ZR

Croydon
On-site
GBP 80,000 - 110,000
4 days ago
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25.05.02 Senior Scientist, Free Energy Calculations, Orion Pharma, Cambridge, UK

Computational Chemistry List, Ltd. (CCL)

Cambridge
On-site
GBP 70,000 - 90,000
4 days ago
Be an early applicant

Staff/Senior Data Scientist/ML Engineer (Research)

Mimica

City Of London
Remote
GBP 50,000 - 70,000
4 days ago
Be an early applicant

Patent Scientist

Additional Resources

United Kingdom
Hybrid
GBP 40,000 - 50,000
4 days ago
Be an early applicant

Biomedical Scientist

UK Health Security Agency

City Of London
On-site
GBP 30,000 - 45,000
4 days ago
Be an early applicant

Specialist Biomedical Scientist (Haematology/Transfusion)

NHS

Kettering
On-site
GBP 38,000 - 47,000
4 days ago
Be an early applicant

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PU Data Scientist
Red Bull Racing & Red Bull Technology
Milton Keynes
On-site
GBP 40,000 - 60,000
Full time
4 days ago
Be an early applicant

Job summary

A leading motorsport engineering company in Milton Keynes seeks a PU Data Scientist to analyze performance data and develop machine learning models. You will work closely with engineering teams to deliver insights that optimize race performance. The ideal candidate has a STEM degree and experience in data analysis using Python or MATLAB. Enjoy a competitive salary and perks like an on-site gym and free meals.

Benefits

On-site gym
Free daily food allowance

Qualifications

  • Minimum degree with 2:1 in a relevant STEM subject.
  • Strong background in data analysis and machine learning.
  • Experience with large datasets and data analysis tools.

Responsibilities

  • Analyse and model PU datasets for performance insights.
  • Develop ML models for reliability prediction.
  • Collaborate with engineers for data-driven recommendations.

Skills

Data analysis
Statistical modelling
Machine learning
Problem-solving
Attention to detail
Communication skills
Data visualisation

Education

Degree in relevant STEM subject

Tools

Python
MATLAB
Tableau
Power BI
Job description

Direct message the job poster from Red Bull Racing & Red Bull Technology

Experienced talent acquisition specialist, most recently focused on Formula 1 engineering of chassis and powertrain along with business support roles.

PU Data Scientist

Red Bull Powertrains has an exciting opportunity to join our technical team as we transition from building our team’s first Power Units to refining them into a race‑ready package, all aimed at delivering the most competitive car on the 2026 Formula One grid. We are seeking a PU Data Scientist to join our Data Strategy & Insights department and drive the future of motorsport innovation. You will be based at our cutting‑edge engineering and manufacturing facility in Milton Keynes, designed to produce high-performance Power Units for the 2026 engine regulations.

You will be a key part of the Team which is responsible for developing and applying statistical and machine learning techniques to analyse PU data, while supporting performance, reliability, and operational decisions.

You will be working closely with engineering and operational teams to uncover insights from live and historical PU data; building models and automation that influence both race‑day execution and long‑term performance.

Key responsibilities for this PU Data Scientist role are:

  • Analyse and model large‑scale PU datasets to extract performance insights and detect anomalies.
  • Develop and implement ML models to support reliability prediction and fault detection.
  • Collaborate with trackside engineers to provide data‑driven recommendations from PU adjustments and tuning.
  • Lead exploratory data analysis on long‑term trends across tests and race events.
  • Develop tools and automation for repeatable analytics workflows.
  • Proactively explore and trial new statistical or computational approaches for PU optimisation.
  • Deliver clear, actionable insights through visualisation and presentation tools.

To be successful in this PU Data Scientist role, you will need:

  • A degree with a 2:1 minimum in a relevant STEM subject or related field.
  • Strong background in data analysis, statistical modelling, and machine learning.
  • Experience working with large datasets and utilising data analysis tools such as Python, MATLAB, or similar, with a focus on data science libraries.
  • Familiarity with power unit systems, engine performance metrics, and Formula 1 racing rules and regulations.
  • Proficient in data visualisation techniques and tools such as Tableau, Power BI, or similar.
  • Excellent problem‑solving skills and ability to derive actionable insights from complex data.
  • Strong attention to detail and ability to work under pressure in a fast‑paced racing environment.
  • Effective communication and presentation skills, with the ability to convey technical information to both technical and non‑technical stakeholders.
  • Passion for motorsports, Formula 1 racing, and a deep interest in power unit technology.

At Red Bull Powertrains, we push the limits, fight for every victory, and get things done with relentless focus. Joining us means being part of a high‑performance team that thrives on collaboration, trust, and ambition. We celebrate wins, learn from challenges, and take our work seriously—though not ourselves. Alongside a competitive salary, you’ll enjoy:

  • On‑site gym
  • Free daily food allowance
  • And many more!

Most importantly, you’ll play a key role in powering championship‑winning cars. If you're ready to be part of something extraordinary, apply now and help shape the future of F1.

Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Analyst

Referrals increase your chances of interviewing at Red Bull Racing & Red Bull Technology by 2x

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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