Data Scientist - Gen AI

Role Title: Data Scientist
Location: Knutsford
Duration: 31/12/2025
Pay Rate: £435

Support the design, development and implementation of GenAI models aligning to the clientapproved patterns and ways of working. You will play an important role in applying and implementing effective machine learning solutions, with a significant focus on Generative AI. You will work with product and engineering teams to contribute to data-driven product strategies, explore and implement GenAI applications, and deliver impactful insights.

Responsibility

• Experiment with, apply, and implement DL/ML models, with a strong emphasis on Large Language Models (LLMs), Agentic Frameworks, and other Generative AI techniques to predict user behavior, enhance product features, and improve automation
• Utilize and adapt various GenAI techniques (eg, prompt engineering, RAG, fine-tuning existing models) to derive actionable insights, generate content, or create novel user experiences
• Collaborate with product, engineering, and other teams (eg, Sales, Marketing, Customer Success) to build Agentic system to run campaigns at-scale
• Conduct in-depth analysis of customer data, market trends, and user insights to inform the development and improvement of GenAI-powered solutions
• Partner with product teams to design, administer, and analyze the results of A/B and multivariate tests, particularly for GenAI-driven features
• Leverage data to develop actionable analytical insights & present findings, including the performance and potential of GenAI models, to stakeholders and team members

Skillset

• 3+ years of hands-on experience in building data science applications and machine learning pipelines, with demonstrable experience in Generative AI projects
• Experience with Python for research and software development purposes, including common GenAI libraries and frameworks
• Experience with or exposure to prompt engineering, and utilizing pre-trained LLMs (eg, via APIs or open-source models)
• Experience with large datasets, distributed computing, and cloud computing platforms (eg, AWS, Azure, GCP)
• Proficiency with relational databases (eg, SQL)
• Experience in training, evaluating, and deploying machine learning models in production environments, with an interest in MLOps for GenAI

Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy.