Data scientists & statisticians Work, Jobs in Shipton Under Wychwood, Oxf (with Salaries)

Data Scientists
UK Atomic Energy Authority —Culham
- £64,820 a year
- Full-time
- Hybrid work
- Doctoral degree
- Engineering
- English
- Annual leave
Quick apply
Applied AI Engineer: Space & EO (Data)
Open Cosmos —Didcot
- Hybrid work
- Machine learning
- APIs
- AI
Machine Learning Scientist
AIOI NISSAY DOWA INSURANCE MANAGEMENT LIMITED (ANDIM) —Oxford
- Doctoral degree
- Computer Science
- Master's degree
- Annual leave
- Employee assistance programme
Machine Learning Engineer 1
AIOI NISSAY DOWA INSURANCE MANAGEMENT LIMITED (ANDIM) —Oxford
- Computer Science
- Master's degree
- Machine learning
- Annual leave
- Employee assistance programme
ML Engineer (Research Scientist - Cryosphere)
Arctic Research and Development —Cirencester
- Full-time
- Hybrid work
- Doctoral degree
- Machine learning
Engineering Science Consultant - Life Sciences (Graduate)
Capgemini —Abingdon
- Hybrid work
- Doctoral degree
- Engineering
- Master's degree
Machine Learning Implementation Engineer, AI (SFIA4)
Zaizi —Cheltenham
- £60,000 - £70,000 a year
- Hybrid work
- Machine learning
- Mentoring
- Software development
- Annual leave
- Work from home
Quick apply
Data Scientist
DAINTTA —Cheltenham
- £61,000 - £83,000 a year
- Full-time
- Hybrid work
- Presentation skills
- Annual leave
- Employee assistance programme
Quick apply
Lead Data Scientist
UK Atomic Energy Authority —Culham
- £71,815 a year
- Full-time
- Doctoral degree
- Research
- Machine learning
- Annual leave
- Employee assistance programme
Machine Learning Scientist
University of Oxford —Oxford
- £39,424 - £43,984 a year
- Full-time
- Remote
- Doctoral degree
- Computer Science
- Software development
Statistics & Analysis Manager
Abbott Laboratories —Witney
- Full-time
- Team management
- Training & development
- Leadership
Machine Learning Engineer, AI (SFIA 3)
Zaizi —Cheltenham
- Up to £60,000 a year
- Hybrid work
- Research
- Machine learning
- AI
- Annual leave
- Work from home
Quick apply
Graduate Machine Learning Engineer, AI
Zaizi —Cheltenham
- Up to £40,000 a year
- Hybrid work
- Engineering
- Research
- Machine learning
- Annual leave
- Work from home
Quick apply
AI Engineer
St. James's Place —Cirencester
- Data analysis skills
- AWS
- Machine learning
- Annual leave
9d
Underwriting Analytics Consultant
NFU Mutual —Stratford-upon-Avon
- Up to £70,000 a year
- Full-time
- Communication skills
- Analytics
- Annual leave
- Employee discount
9d
Senior Machine Learning Scientist
AIOI NISSAY DOWA INSURANCE MANAGEMENT LIMITED (ANDIM) —Oxford
- Doctoral degree
- Computer Science
- Research
- Annual leave
- Employee assistance programme
Engineering Science Consultant - Utilities (Graduate)
Capgemini —Abingdon
- Hybrid work
- Doctoral degree
- Engineering
- Data analysis skills
Artificial Intelligence Engineer
Oxford Dynamics —Oxford
- Full-time
- Hybrid work
- Master's degree
- Machine learning
- AI
- Flexible schedule
Quick apply
Director of Applied AI
iCOMAT —Swindon
- Machine learning
- Continuous improvement
- Quality control
Lead Machine Learning Engineer, AI
Zaizi —Cheltenham
- Up to £75,000 a year
- Full-time
- Hybrid work
- Research
- Machine learning
- Mentoring
- Annual leave
- Work from home
Quick apply

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data scientists & statisticians jobs near shipton under wychwood, oxf

Data Scientists

UK Atomic Energy Authority -
Culham

Quick apply

Job details

Full-time
£64,820 a year

Benefits

Annual leave
Company pension

Qualifications

Rust (programming language)
Law
Doctoral degree
Engineering
R
UNIX
English
Research
Fortran
Master's degree
Machine learning
ANSYS
Neo4j
Simulink
Scripting
Data visualisation
AI
Graph databases
CATIA

Full job description

Job Description

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 further information can be found here.

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.

Quick apply

Refine Your Search

data scientists & statisticians jobs in shipton under wychwood, oxf

Data Scientists

Applied AI Engineer: Space & EO (Data)

Machine Learning Scientist

Machine Learning Engineer 1

ML Engineer (Research Scientist - Cryosphere)

Engineering Science Consultant - Life Sciences (Graduate)

Machine Learning Implementation Engineer, AI (SFIA4)

Data Scientist

Lead Data Scientist

Machine Learning Scientist

Statistics & Analysis Manager

Machine Learning Engineer, AI (SFIA 3)

Graduate Machine Learning Engineer, AI

AI Engineer

Underwriting Analytics Consultant

Senior Machine Learning Scientist

Engineering Science Consultant - Utilities (Graduate)

Artificial Intelligence Engineer

Director of Applied AI

Lead Machine Learning Engineer, AI

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