Data scientists & statisticians Work, Jobs in Reading, Brk (with Salaries)

Data Scientists
UK Atomic Energy Authority —Culham
- £64,820 a year
- Full-time
- Doctoral degree
- Engineering
- English
- Annual leave
- Employee assistance programme
3d
Data Scientist
The AA —Basingstoke
- Full-time
- Hybrid work
- Master's degree
- SQL
- Analysis skills
- Annual leave
- Employee assistance programme
6d
Senior Data Scientist
MarketCast UK —Reading
- Hybrid work
- Doctoral degree
- Computer Science
- Master's degree
- Annual leave
- Flexitime
Quick apply
Machine Learning Scientist
University of Oxford —Oxford
- £39,424 - £43,984 a year
- Full-time
- Remote
- Doctoral degree
- Computer Science
- Machine learning
Machine Learning Scientist
AIOI NISSAY DOWA INSURANCE MANAGEMENT LIMITED (ANDIM) —Oxford
- Doctoral degree
- Computer Science
- Master's degree
- Annual leave
- Employee assistance programme
9d
AI & Automation Specialist
ECMWF —Reading
- £76,384 a year
- Hybrid work
- English
- Master's degree
- SQL
Data Scientist
TravelodgeHotels —Thame
- £50,000 - £60,000 a year
- Full-time
- Hybrid work
- Azure
- Hotel
- SQL
- Employee discount
Quick apply
AI Data Scientist - Autonomous Network
Capgemini —Abingdon
- Hybrid work
- Azure
- Data analysis skills
- Master's degree
Data Scientist - Agriculture
Syngenta Crop Protection —Bracknell
- Full-time
- Remote
- Data analysis skills
- Analysis skills
- Machine learning
- Life insurance
Quick apply
Senior Statistical Analyst
University of Oxford —Oxford
- £49,119 - £58,265 a year
- Analysis skills
- University
- Python
- Annual leave
4d
Engineering Science Consultant - Utilities (Graduate)
Capgemini —Abingdon
- Hybrid work
- Doctoral degree
- Engineering
- Data analysis skills
2d
AI Solutions Engineer
Techgroove Limited —Basingstoke
- £55,000 - £60,000 a year
- Full-time
- Hybrid work
- Azure
- Computer Science
- Master's degree
- Annual leave
Quick apply
14d
AI Engineer
Devopster IT Consultants —Newbury
- £30,000 - £33,500 a year
- Full-time
- Hybrid work
- Azure
- AWS
- Machine learning
Quick apply
Lead Data Scientist
UK Atomic Energy Authority —Culham
- £71,815 a year
- Full-time
- Doctoral degree
- C++
- Scripting
- Annual leave
- Employee assistance programme
3d
AI Engineer Defence - 3 months Contract
Oxford Dynamics —Oxford
- Full-time
- Hybrid work
- Master's degree
- AWS
- AI
Quick apply
7h
Data Science Lead 1
UCB —Slough
- Hybrid work
- Master's degree
- Bachelor's degree
- Travel
Senior or Principal Statistical Programmer - ONCOLOGY - Sponsor dedicated
Fortrea —Maidenhead
- Full-time
- English
- Organisational skills
Statistical Programmer
Bristol-Myers Squibb —Uxbridge
- Full-time
- Hybrid work
- Microsoft Office
- Bachelor's degree
- Travel
- Work from home
1d
Lead AI Agent Engineer
Profitero —Wokingham
- Full-time
- Hybrid work
- Computer Science
- Engineering
- Master's degree
- Flexible schedule
- Referral programme
Quick apply
Applied AI Engineer – Prompting & Evaluation
KERRIDGE COMMERCIAL SYSTEMS CORP —Hungerford
- Full-time
- ERP systems
- Master's degree
- APIs
Quick apply

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Data Scientists

UK Atomic Energy Authority -
Culham

Apply Now

Job details

Full-time
£64,820 a year
3 days ago

Benefits

Annual leave
Company pension
Employee assistance programme

Qualifications

Rust (programming language)
Law
Doctoral degree
Engineering
R
UNIX
English
Fortran
Master's degree
AWS
C++
C
Neo4j
AI
Graph databases
Python
CATIA

Full job description

Overview of Responsibilities

About us

Fusion, the process that powers the sun and stars, is one of the most promising options for generating the cleaner, carbon-free energy that our world badly needs. UKAEA leads the way in realizing fusion energy, partnering with industry and research organisations to achieve ground-breaking advancements. Our goal is to bring fusion electricity to the grid by developing the power stations of tomorrow and the skilled workforce to deliver them.

About the Job

The Data Solutions Unit within UKAEA’s Computing Division delivers innovative research, development, and specialist support across data engineering, artificial intelligence, machine learning, FAIR data architectures, high-performance computing, and advanced digital technologies. Working at the forefront of fusion research, the team develops secure, scalable data solutions that enable scientists and engineers to optimise their work, accelerate discovery, and support the development of future fusion technologies through collaboration with academia, industry, and partners across UKAEA.

This is an opportunity to shape the future application of artificial intelligence in fusion research, working at the intersection of AI, HPC, and scientific discovery. As part of the Artificial Intelligence and Machine Learning team, you will provide research expertise in the application of AI/ML to complex fusion challenges. You will contribute to research programmes as part of a team of UKAEA and international collaborators, to develop innovative solutions using advanced computing environments, including High-Performance Computing (HPC). With significant autonomy, you will influence research directions, develop new opportunities, publish impactful research, and represent UKAEA as a leading voice in AI-enabled fusion research.

What you’ll be Doing

We are recruiting for multiple roles across the AI areas outlined below. If you are interested in applying, please indicate your preferred area(s) of interest as part of your application:

Enterprise AI Specialist:

Corporate AI solutions (MS-Copilot, Google Gemini Enterprise)

Data privacy/protection rules and UK government regulations (Export Control, regional Cloud deployment, data sovereignty)

Open-source LLM deployment (Ollama, vLLM, Open WebUI)

Large LLM deployment on parallel GPU architectures

Advanced LLM applications (AI-assisted coding, LLM integration in engineering products)

Knowledge Graphs (Neo4j, GraphRAGs)

Advanced Control Specialist:

AI control methods (Reinforcement Learning, supervised learning, preference optimization)

Applied control systems (Robotics, experimental control systems)

Portability of AI/ML models onto control hardware (real-time workflows, compiled models, FPGA porting)

AI and HPC Specialist:

Optimisation of AI workflows on parallel GPU architectures
Porting of AI workflows on specialised hardware (Nvidia GH200, AMD Mi300x, Google TPUs, AWS)

Large-scale deployment on Cloud Compute architectures

AI for Engineering applications Specialist:

Application of AI to Digital Engineering workflows.

Open-source CAD software (FreeCAD, OpenSCAD, LibreCAD)

Proprietary Engineering software (Ansys, CATIA, Simulia, Siemens-NX)

CAD Meshing for simulations (Gmsh, CGAL, CUBIT, Ansys-PyPrimeMesh)

Engineering data visualisation (Blender, Omniverse, USD, VTK)

Systems Engineering (MBSE, Ansys-Twin-Builder, Dassault-3DX)

Foundation Models Specialist:

Transformers architectures
Vision Transformer models

Fine-tuning and transfer learning

Scientific Foundation Models

Large-scale data engineering

What you’ll Bring

A PhD degree in a computational, mathematical or physical science discipline, with Post-Doctoral and professional experience (or equivalent experience in either a commercial or research environment), relevant to the area of AI/ML for fusion science.

Recognised internationally as an expert in the field of AI for fusion

Track record of publishing research in the area of AI for fusion, or a similar area of research with transferable knowledge to fusion science.

Demonstrable experience of at least one compiled programming language (e.g. C++, Fortran, C, Rust) or advanced scripting language (e.g. Python Julia, R)

Good experience of the UNIX operating system, particularly the command line interface

Ability to work within a diverse team, but willingness to take significant personal responsibility

Excellent written and spoken English

UKAEA is an onsite organisation, and this role requires regular onsite presence (usually between 3-5 days in any given week) in line with business needs. We actively support flexible working arrangements where this is compatible with the role.

Benefits

We have a generous range of benefits (see the full list here) and highlights include:

A salary of £64,820 (inclusive of a £6,500 specialist allowance)

Up to 7% corporate performance bonus

Final salary defined benefits pension scheme with an equivalent of 21.5% employer pension contribution

25 days annual leave, 2.5 privilege days and 8 Bank Holidays

3 days of site closure over Christmas break

Flexible working options plus family-friendly leave provisions

Our commitment to ED&I

UKAEA’s mission is clean energy for all, and we welcome talented people from all backgrounds to help us achieve this goal. We are committed to equality, diversity, inclusion and accessibility, and strive to ensure fair representation across our workforce.

Please email [email protected] if you have any questions or require adjustments to help you participate fairly in our recruitment process, for example changes to the way we interview or share information. As a Disability Confident Employer, we are committed to providing an inclusive and accessible recruitment experience for all candidates.

We particularly encourage applications from groups currently underrepresented in STEM, including women and people from diverse ethnic backgrounds. All appointments are made on merit and

Additional information

International travels for short periods of 3-5 days are typical of roles at this level, to nurture collaborations and attend key conferences and workshops in this area of research.

Salary

£64,820 (inclusive of Specialist Allowance) + excellent benefits including outstanding pension

Programme

Department

Data Solutions

Discipline

Engineering

Site Location

UKAEA Culham, Oxfordshire

Type of Employment

Full-time

Reference Number

REF4369M

Qualifications

Additional Information

Benefits

As an employee of UKAEA you will benefit from:

Outstanding defined benefit pension scheme, details of which can be found at the end of this advert.
Corporate bonus scheme up to 7% and a Relocation allowance (if eligible).
Flexible working options including family friendly policies.
Employee Assistance Programme and trained Mental Health First Aiders,
Generous annual leave allowance starting with 25 days, plus 3 days Christmas closure and 2.5 privilege days, in addition to UK bank holidays
Wide range of career development opportunities
A vibrant culture committed to equality and being fully inclusive

Company Description

By 2050, the planet could be using twice as much electricity compared to today. Are you interested in contributing and helping to shape the future of the world’s energy? If so, read on.

Fusion, the process that powers the Sun and stars, is one of the most promising options for generating the cleaner, carbon-free energy that our world badly needs.

UKAEA leads the way in realising fusion energy, partnering with industry and research for groundbreaking advancements. Our goal is to bring fusion electricity to the grid, supported by tomorrow's power stations. In pursuit of our mission, UKAEA embraces core values: Innovation, Commitment, Trust, and Collaboration.

Apply Now

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