Data Scientist Lead

John Goddard Associates; London; Hybrid; GBP 150,000 - 200,000; Full time

Job summary

An established industry player in financial services is seeking a Data Scientist Lead with expertise in Generative AI and Large Language Models. This role offers a unique opportunity to work on cutting-edge AI-driven solutions that transform credit risk management and financial data analytics. You will be responsible for data extraction, analysis, and model development, utilizing your skills in ML and DL. If you are passionate about applying innovative techniques to tackle complex business challenges, this position is perfect for you. Join a forward-thinking team and make a significant impact in the world of finance.

Qualifications

• 5+ years of experience in ML modeling and recommendation systems.
• Strong knowledge of LLM algorithms and training techniques.

Responsibilities

• Develop and deploy AI models focusing on GenAI and LLMs.
• Collaborate with teams to drive AI innovation and present findings.

Skills

Machine Learning (ML)

Deep Learning (DL)

Generative AI

Large Language Models (LLMs)

Data Analysis

Python

SQL

Spark

PySpark

TensorFlow

Education

Master's in Computer Science

PhD in Data Science

Tools

Hadoop

Hive

Job description

Data Scientist Lead - GenAI Specialist
London

Are you a Data Scientist with a passion for Generative AI and Large Language Models (LLMs)? Join a leading financial institution's Technology team, working on cutting-edge AI-driven solutions to transform credit risk management and financial data analytics.

The Role

This is a development-focused position where you'll be responsible for data extraction, analysis, and model development using ML, DL, and LLMs. You'll clean and manipulate complex financial datasets, build predictive and prescriptive models, and implement them in production environments.

Key Details

• Start Date: ASAP
• Duration: 30/04/2026
• Location: London (Hybrid, 3 days on-site)
• Pay Rate: £725-£775/day

Responsibilities of a GenAI Specialist

• Develop and deploy AI models, focusing on GenAI and LLMs.
• Extract, clean, and analyse structured and unstructured data.
• Implement scalable ML/DL solutions through the full model lifecycle.
• Collaborate with cross-functional teams to drive AI innovation.
• Present analytical findings to business and technology stakeholders.

Requirements for a GenAI Specialist:

• Master's/PhD in Computer Science, Data Science, Mathematics, or related field.
• 5+ years of experience in ML modeling, ranking, or recommendation systems.
• Proficiency in Python, SQL, Spark, PySpark, TensorFlow.
• Strong knowledge of LLM algorithms and training techniques.
• Experience deploying models in production environments.

Nice to Have:

• Experience in GenAI/LLMs
• Familiarity with distributed computing tools (Hadoop, Hive, Spark).
• Background in banking, risk management, or capital markets.

Why Join?

This is a unique opportunity to work at the forefront of AI innovation in financial services. If you're ready to apply cutting-edge ML & GenAI techniques to complex business challenges, we'd love to hear from you!

McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.