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Data Scientist Lead

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London

Hybrid

GBP 150,000 - 200,000

Full time

Today
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Job summary

An established industry player is seeking a Data Scientist Lead specializing in Generative AI and Large Models. This exciting role involves working on cutting-edge AI-driven solutions to transform financial data analytics and credit risk management. You will be responsible for data extraction, analysis, and model development, utilizing your expertise in machine learning and deep learning. Join a forward-thinking team that values innovation and collaboration, and contribute to impactful projects at the forefront of AI in financial services. If you're passionate about applying advanced ML techniques to solve complex challenges, this is the opportunity for you.

Qualifications

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

Responsibilities

  • Develop and deploy AI models, focusing on GenAI and LLMs.
  • Collaborate with cross-functional teams to drive AI innovation.

Skills

Python
SQL
ML modeling
DL solutions
LLM algorithms

Education

Master's/PhD in Computer Science
Master's/PhD in Data Science
Master's/PhD in Mathematics

Tools

TensorFlow
Spark
PySpark
Hadoop
Hive

Job description

Job Description

Data Scientist Lead - GenAI SpecialistLondon

Are you a Data Scientist with a passion for Generative AI and Large 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.

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