Data Scientist - GenAI - Up to £170k

JR United Kingdom; Swindon; Hybrid; GBP 100,000 - 170,000; Full time

Job summary

A leading global consultancy seeks Data Scientists specializing in GenAI for a hybrid role in Swindon. The position involves developing AI models and requires a strong foundation in Data Science, including proficiency in Python and ML libraries. Competitive salary ranging from £100k to £170k, with flexible work arrangements.

Qualifications

• Strong background in Data Science within GenAI.
• Proficiency with Python and ML libraries.
• Strong problem-solving and communication skills.

Responsibilities

• Designing, building, and deploying models using LLMs and GenAI techniques.
• Collaborating with Engineering, Product, and Infrastructure teams.

Skills

Data Science

GenAI

Python

Machine Learning Libraries

Problem Solving

Communication

Education

MSc or PhD

Job description

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Data Scientist - GenAI - Up to £170k, Swindon, Wiltshire

Client: Oliver Bernard

Location: Swindon, Wiltshire, United Kingdom

Job Category: Other

EU work permit required: Yes

Job Views: 2

Posted: 04.06.2025

Expiry Date: 19.07.2025

Job Description:

Data Scientists - GenAI

Pays up to £170k

2-days a week in London offices

Data Scientists - GenAI, Python, ML Libraries

Oliver Bernard has partnered with a global consultancy looking to hire Data Scientists with a strong background in GenAI to work on various projects.

You will work with the latest technologies, designing, building, and deploying models using LLMs and other GenAI techniques, collaborating with Engineering, Product, and Infrastructure teams to create robust and scalable AI solutions.

Key skills and experience:

• Strong background in Data Science within GenAI
• MSc or PhD qualifications are a bonus
• Proficiency with Python and ML libraries
• Strong problem-solving and communication skills

This is a hybrid role requiring 2 days a week in London offices, with a salary range of £100k-£170k depending on skills and experience. Applicants must be UK-based, as sponsorship is not available.