Data scientist Work, Jobs in Bristol Bs3 (with Salaries)

Research Associate / Senior Research Associate in Medical Statistics and Health Data Science
University of Bristol —Bristol
- £39,906 - £50,253 a year
- Full-time
- Hybrid work
- Doctoral degree
- Master's degree
- SQL
Machine Learning Engineer (KTP Associate)
University of Bath —Bath
- £43,000 - £51,000 a year
- Full-time
- Hybrid work
- Project management
- University
- Machine learning
- Employee discount
Senior Analyst - Data Enrichment
Somerset Bridge Group —Cribbs Causeway
- £68,000 - £75,000 a year
- Full-time
- Hybrid work
- SQL
- Communication skills
- Python
- Annual leave
- Referral programme
Quick apply
10d
Senior Data Scientist
RAC —Almondsbury
- Hybrid work
- Azure
- Engineering
- Data analysis skills
- Annual leave
- Flexible schedule
Data Scientist 4
Lam Research —Bristol
- Doctoral degree
- Master's degree
- Bachelor's degree
Staff Engineer (ML Engineer)
Graphcore —Bristol
- Machine learning
- Linux
- Python
- Annual leave
Data Analytics Engineer
Discovery Education —Bath
- £35,000 - £39,400 a year
- Full-time
- Data analysis skills
- SQL
- APIs
- Employee assistance programme
Quick apply
Senior Data Science Innovator
DNV —Bristol
- Hybrid work
- Master's degree
- Maths
- Bachelor's degree
- Flexible schedule
8d
Data Science Lead - 12 month FTC
Unite Students —Bristol
- Sales
- Marketing
- SQL
- Annual leave
- Employee assistance programme
Embedded Systems Engineer - AI innovation
Safran —Cwmbran
- Full-time
- Remote
- Engineering
- C++
- Continuous improvement
- Employee assistance programme
Senior Engineer (ML Engineer)
Graphcore —Bristol
- Machine learning
- Linux
- Python
- Annual leave
Senior Machine Learning Engineer
Rowden —Bristol
- £55,000 - £85,000 a year
- Full-time
- Hybrid work
- Master's degree
- SQL
- AWS
Quick apply
Domain Expert - Responsible AI, Ethics & Assurance
Methods Business and Digital Technology —Bristol
- £80,000 - £120,000 a year
- Full-time
- Hybrid work
- Sales
- Travel
- Mentoring
- Employee assistance programme
Quick apply
Product Manager
Ripjar —Bristol
- Remote
- Product management
- IT
- Communication skills
- Annual leave
- Employee assistance programme
Quick apply
Head of Electrical Distribution Analytics
Toumetis —Bristol
- Full-time
- Hybrid work
- Engineering
- Data analysis skills
- Master's degree
- Free parking
- Paid training
Quick apply
Senior AI Consultant
Snap Analytics —Bristol
- Full-time
- Hybrid work
- SQL
- Maths
- Machine learning
Quick apply
11d
Principal Machine Learning Engineer – Production Systems
SoftInWay Inc. —Weston-super-Mare
- Machine learning
- APIs
- Python
Lead Engineer - AI Agents
M-KOPA —Bristol
- Full-time
- Remote
- AI
- Leadership
3d
Lecturer (Assistant Professor)/ Senior Lecturer (Associate Professor) / Reader (Associate Professor) in NLP, Reinforcement Learning or AI Security/Assurance/Verification
University of Bath —Bath
- £47,389 - £73,709 a year
- Full-time
- Doctoral degree
- Administrative experience
- University
- Annual leave
- Employee discount

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Machine Learning Engineer (KTP Associate)
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Research Associate / Senior Research Associate in Medical Statistics and Health Data Science

University of Bristol -
Bristol

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Job details

Full-time
£39,906 - £50,253 a year

Qualifications

Statistical software
Doctoral degree
Bootstrap
SAS
R
Git
Master's degree
SQL
Epidemiology
GitHub
Data science
Python

Full job description

The role

Join the University of Bristol to make rigorous causal inference from NHS data faster and more accessible. On this NIHR-funded programme, "Efficient estimation of target trials in electronic health records data", you will develop computationally efficient methods and open-source software for target trial emulation — a powerful approach for estimating the effects of health care interventions from observational data. Current software can take days to run on large datasets; our aim is to make these analyses at least ten times faster and put the tools in the hands of researchers worldwide. You will work with Dr Tom Palmer, Dr Paul Madley-Dowd, Dr Venexia Walker and Professor Jonathan Sterne in Bristol, and Dr Will Hulme at the University of Oxford, joining Bristol's Electronic Health Records team in the Department of Population Health Sciences — a leading UK centre for data science and causal inference research.

Hybrid working is available - it would be preferable if the postholder could attend the EHR team meetings in person on a Tuesday and be in the office 2 days per week as a minimum.

What will you be doing?

You will develop efficient methodology for sequential target trial emulation — including subsampling strategies, scalable bootstrap inference for large datasets, variable-length time intervals and vectorised algorithms — and implement it in well-engineered, open-source R and Python packages (including SEQTaRget and pySEQTarget), with clear interfaces, documentation and diagnostics. You will benchmark existing R, Python and SAS implementations, run Monte Carlo simulation studies to evaluate statistical and computational performance, and apply the methods to comparative-effectiveness analyses using linked NHS electronic health records, including within the OpenSAFELY platform. You will work openly and reproducibly using Git and GitHub, collaborate with colleagues across Bristol and the UK, and disseminate your work through publications, conferences and software releases. There is scope to contribute to research funding bids and, if you wish, to teaching and supervision.

You should apply if

You have a strong quantitative background in medical statistics, epidemiology, data science or a related discipline, and you enjoy programming. You have experience of statistical software such as R, value open and reproducible research, and want to build high-quality tools that other researchers will use. You can develop original solutions and work independently while contributing to a team. Experience of Python, R and Python package development, Git/GitHub, SQL, causal inference methods, or NHS data sources (such as Hospital Episode Statistics) would be an advantage.

The post can be appointed at Research Associate or Senior Research Associate level. For the Senior role, we also seek a relevant PhD (or equivalent experience) and a track record of peer-reviewed publications; the Research Associate role suits those earlier in their research career with an MSc (or equivalent) and working towards a PhD in a relevant quantitative subject. If you don't meet every desirable criterion but are excited by the work, we encourage you to apply.

Additional information

Contract type: Open-ended with funding for 3 years from start date (ideally, between 01/10/2026-30/09/2029)

Work pattern: Full time/ 1 FTE

Grade: I/J (Pathway 2)

Salary: £39,906 - £44,746 (Grade I) or £43,482 - £50,253 (Grade J)

School/Unit: Bristol Medical School

Shift pattern: 35 hours per week

This advert will close at 23:59 UK time on 19/07/2026

For informal queries please contact: Dr Tom Palmer (Senior Lecturer in Biostatistics Applied to Genetics): 0117 4559644, [email protected]

Our strategy and mission

We recently launched our strategy to 2030 tying together our mission, vision and values.

JOB NUMBER

ACAD108634

CONTRACT TYPE/WORK PATTERN

Open ended / Full time

POSTING END DATE

19 Jul 2026

FACULTY/DIVISION

Faculty of Health and Life Sciences

SALARY

£39,906 - £44,746 (Grade I) or £43,482 - £50,253 (Grade J)

Apply Now

Refine Your Search

data scientist jobs in bristol bs3

Research Associate / Senior Research Associate in Medical Statistics and Health Data Science

Machine Learning Engineer (KTP Associate)

Senior Analyst - Data Enrichment

Senior Data Scientist

Data Scientist 4

Staff Engineer (ML Engineer)

Data Analytics Engineer

Senior Data Science Innovator

Data Science Lead - 12 month FTC

Embedded Systems Engineer - AI innovation

Senior Engineer (ML Engineer)

Senior Machine Learning Engineer

Domain Expert - Responsible AI, Ethics & Assurance

Product Manager

Head of Electrical Distribution Analytics

Senior AI Consultant

Principal Machine Learning Engineer – Production Systems

Lead Engineer - AI Agents

Lecturer (Assistant Professor)/ Senior Lecturer (Associate Professor) / Reader (Associate Professor) in NLP, Reinforcement Learning or AI Security/Assurance/Verification