Data scientist Work, Jobs in Bathampton, Som (with Salaries)

Responsible AI/ML Scientist (KTP Associate)
University of Bristol —Bristol
- £50,000 - £60,000 a year
- Full-time
- Doctoral degree
- Computer Science
- Master's degree
5d
Senior Data Scientist
RAC —Almondsbury
- Hybrid work
- Azure
- Engineering
- Data analysis skills
- Annual leave
- Flexible schedule
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
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
Data Science Lead - 12 month FTC
Unite Students —Bristol
- SQL
- Machine learning
- Mentoring
- Annual leave
- Employee assistance programme
Staff Engineer (ML Engineer)
Graphcore —Bristol
- Machine learning
- Linux
- Python
- Annual leave
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
Senior Engineer (ML Engineer)
Graphcore —Bristol
- Machine learning
- Linux
- Python
- Annual leave
Lead Engineer - AI Agents
M-KOPA —Bristol
- Full-time
- Remote
- AI
- Leadership
13d
Senior AI Consultant
Snap Analytics —Bristol
- Full-time
- Hybrid work
- SQL
- Maths
- Machine learning
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 Machine Learning Engineer (Large Systems)
Graphcore —Bristol
- Doctoral degree
- Master's degree
- C++
- Annual leave
- Employee assistance programme

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Responsible AI/ML Scientist (KTP Associate)

University of Bristol -
Bristol

Apply Now

Job details

Full-time | Fixed term contract
£50,000 - £60,000 a year
5 days ago

Benefits

Company pension

Qualifications

Doctoral degree
Computer Science
Master's degree
Analysis skills
Machine learning
AI
Leadership
Communication skills

Full job description

The role

The University of Bristol wishes to recruit a highly skilled & qualified graduate / post-graduate to lead and deliver a Knowledge Transfer Partnership (KTP) with Duel, a provider of software services in brand advocacy: a new form of marketing whereby brand advocates promote brands through word-of-mouth.

The post holder will be based at Duel’s offices in central Bristol and will help to develop a new process for bias detection and AI explainability that will enhance the efficiency and effectiveness of Duel's brand advocacy platform. You will embed new knowledge into the business using research and academic support from the University of Bristol. You will be able to apply your degree in real world applications with the role, providing an introduction to industrial and commercial work whilst retaining links to academia.

This 24-month KTP includes a £4,000 training budget with 10% of your time dedicated to your personal development. You will have access to a pension scheme with generous employer contributions. This unique funded opportunity from Innovate UK provides a blend of training and expert supervision, focusing on fast-track development of personal, organisational, leadership and analysis skills. The project will deliver new cutting-edge technology, provide excellent career development and hone your skills to become a future leader.

What will you be doing?

The KTP Associate will lead the development of new Responsible AI capabilities for Duel’s brand advocacy platform. You will:

Review Duel’s AI/ML workflows to identify opportunities for improved fairness, explainability, and decision lineage.
Design and develop methods for bias detection, bias mitigation, explainable AI and trustworthy decision-making.
Build software prototypes that can be embedded into Duel’s platform and product workflows.
Evaluate the proposed methods using appropriate technical, ethical and user-centred criteria.
Work closely with Duel’s product, engineering and leadership teams, supported by academic supervisors at the University of Bristol.
Produce documentation, guidance and processes to help Duel adopt responsible-AI practices beyond the project.
Disseminate findings through conferences, meetings, workshops and, where appropriate, academic publications.
Lead the project day to day, including managing your workload, running meetings and workshops, solving problems, and shaping the project plan.

You should apply if

First degree or equivalent in Computer Science, Artificial Intelligence, Data Science, or a related discipline (a PhD, or near-completed PhD, is desirable; exceptional Master’s-level candidates with strong relevant experience will also be considered)
Strong knowledge of AI and machine learning, with software engineering experience.
Experience or understanding of fairness, bias mitigation, explainable AI, decision lineage, ethical AI, AI auditing or trustworthy AI.
A research profile or applied experience relevant to venues such as AIES, FAccT, AAAI, or IJCAI.
Excellent communication and problem-solving skills, with the ability to work across academic, technical and business teams.
Confidence to lead an applied research project, adapt to changing needs, and translate research into practical impact.

Additional information

Contract type: Fixed term contract (24 months)

Work pattern: Full time

Grade: KTP

Salary: £50,000 - 60,000 p.a (subject to skills and experience)

School/Unit: School of Computer Science

Shift pattern: 35 hours per week

This advert will close at 23:59 UK time on 16/08/2026

For informal queries please contact: Dr Nirav Ajmeri (Senior Lecturer, School of Computer Science) [email protected]

Our strategy and mission

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

JOB NUMBER

ACAD108664

CONTRACT TYPE/WORK PATTERN

Fixed-term / Full time

POSTING END DATE

16 Aug 2026

FACULTY/DIVISION

Faculty of Science and Engineering

SALARY

£50,000 - 60,000 p.a (subject to skills and experience)

Apply Now

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