Data Scientist Lead- Python, ML & Gen AI

Glasgow, Lanarkshire, United Kingdom

Actively hiring, first seen by us 1 day ago

Pay: Pay not listed
Work setting: Not stated
Employment: Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting

Develop AI/ML and Gen AI/agentic AI solutions for business needs
Work on LLM and agentic frameworks such as Langchain/LangGraph
Productionize end-to-end AI/ML solutions with team members
Coach and mentor other AI/ML team members
Gather business requirements from stakeholders and build data-driven solutions

From the employer’s posting

Developing AI/ML and Gen AI/ Agentic AI solutions to address impactful business needs.

Hands on experience in working on LLMs and agentic frameworks, such as Langchain/LangGraph and similar technologies.

Working with other team members to productionize end-to-end AI/ML solutions.

Coaching and mentoring other AI/ML team members towards both personal and professional success

Collaborate with cross-functional teams to identify business requirements and develop data-driven solutions

Apply at JPMorgan Chase

Posting record

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Actively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.

Status in our records: Live
First seen by us: Nov 3, 20261 day ago
Recorded sightings: 2
Last seen by us: Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

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Day 1

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From 10,019 similar postings that came down. Coming down is not always a hire.

JPMorgan Chase is hiring

418 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Data Scientist hiring is steady
Takes jobs down at a usual pace
3% of open jobs were reposted

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

Python
SQL
AWS
Databricks
Spark
Keras
PySpark
PyTorch
scikit-learn
TensorFlow

Where the posting names them

- Strong experience in natural language processing (NLP) and its applications. - Solid coding level in Python programming language, with experience in leveraging available libraries, like Tensorflow, Keras, Pytorch, Scikit-learn, or others, to dedicated projects. - Working with other team members to productionize end-to-end AI/ML solutions.

- Applied experience in data science, machine learning, or related areas. - Strong programming skills in Python with experience in PySpark, Spark SQL, and manipulating data. - Experience LLM Orchestration and Agentic AI libraries

Preferred qualifications, capabilities, and skills - Understanding of AWS component. - Experience integrating AI/ML models into data pipelines is a plus.

- Experience in building AI Agents, Agentic frameworks. - Experience in building and managing data lakes and data processing workflows using Databricks. - Ability to leverage AI agents and tools, such as Co-Pilot, to enhance productivity and code quality.

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About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025: $120,230
Expected change, 2025 to 2035: 34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Data Scientist within Corporate Sector in Governance and Controls Technology (GCT), you will design and deliver trusted, market-leading products in a secure, stable, and scalable way. You will work across multiple technical areas and business functions, partnering with your team to deliver solutions that matter to our customers and the firm. You help strengthen our engineering culture through ownership, continuous improvement, and inclusive collaboration.

Job responsibilities

Collaborate with cross-functional teams to identify business requirements and develop data-driven solutions using AIML, Agentic/GenAI frameworks in a fast-paced environment.
Hands on experience in working on LLMs and agentic frameworks, such as Langchain/LangGraph and similar technologies.
Developing AI/ML and Gen AI/ Agentic AI solutions to address impactful business needs.
Hands on experience in all machine learning techniques, supervised, unsupervised, and semi-supervised techniques.
Strong experience in natural language processing (NLP) and its applications.
Solid coding level in Python programming language, with experience in leveraging available libraries, like Tensorflow, Keras, Pytorch, Scikit-learn, or others, to dedicated projects.
Working with other team members to productionize end-to-end AI/ML solutions.
Engaging in research and development of innovative relevant solutions.
Coaching and mentoring other AI/ML team members towards both personal and professional success
Collaborating with other teams across the firm to attain the mission and vision of the team and the firm. Engaging with stakeholders and understanding business requirements.
Act as a self-starter, independently taking initiative in driving assignments to completion and solving problems without escalation.

Required qualifications, capabilities, and skills

Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
Practical cloud native experience
Advanced degree in Computer Science, Data Science, Mathematics, or a related field.
Applied experience in data science, machine learning, or related areas.
Strong programming skills in Python with experience in PySpark, Spark SQL, and manipulating data.
Experience LLM Orchestration and Agentic AI libraries
Proficiency in using GenAI models (OpenAI or similar) to solve business problems.
Experience in building AI Agents, Agentic frameworks.
Experience in building and managing data lakes and data processing workflows using Databricks.
Ability to leverage AI agents and tools, such as Co-Pilot, to enhance productivity and code quality.
Excellent problem-solving skills and the ability to communicate ideas and results clearly to stakeholders.
Strong troubleshooting and problem-solving skills.
Fast learner with the ability to quickly develop Proof of Concepts and advance them to production.

Preferred qualifications, capabilities, and skills

Understanding of AWS component.
Experience integrating AI/ML models into data pipelines is a plus.
Experience with version control (Git) and CI/CD pipelines.
Financial service background

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