Lead Data Scientist: GenAI, NLP & Python ML

JP Morgan Chase; Glasgow; On-site; GBP 90,000 - 140,000; Full time

Job summary

JP Morgan Chase in Glasgow seeks a Lead Data Scientist in Governance and Controls Technology. You will design and deliver trusted AI/ML products at scale, partnering with teams across the firm to drive business impact, resilience, and secure delivery.

You will work with LLMs, agentic frameworks, LangChain, Python, and Databricks to productionize end‑to‑end AI solutions, mentor colleagues, and strengthen the engineering culture through responsible AI practices.

Qualifications

• Advanced degree in Computer Science, Data Science, Mathematics, or related field.
• Strong Python, PySpark, Spark SQL experience.
• Experience with LLM orchestration and Agentic AI libraries.
• Cloud native experience and secure AI practices.

Responsibilities

• Collaborate with cross-functional teams to identify business requirements and develop data-driven AI/ML solutions.
• Work with LLMs and agentic frameworks to deliver AI solutions.
• Productionize end-to-end AI/ML solutions.
• Mentor AI/ML team members and promote best practices.
• Engage with stakeholders to align AI work with business goals.
• Own initiatives from concept to production.

Skills

Python

NLP

LLM orchestration

GenAI frameworks

LangChain

Databricks

Spark SQL

Python libraries (TensorFlow/Keras/Py"

Education

Advanced degree in Computer Science/Data Science/Mathematics

Tools

PyTorch

TensorFlow

Keras

Scikit-learn

LangChain

LangGraph

Databricks

Git

CI/CD

OpenAI API

Job description

JP Morgan Chase in Glasgow seeks a Lead Data Scientist in Governance and Controls Technology. You will design and deliver trusted AI/ML products at scale, partnering with teams across the firm to drive business impact, resilience, and secure delivery.

You will work with LLMs, agentic frameworks, LangChain, Python, and Databricks to productionize end‑to‑end AI solutions, mentor colleagues, and strengthen the engineering culture through responsible AI practices.