JP Morgan Chase

Runs a consumer bank and an investment bank

Lead Data Scientist

AI Application EngineeringPosted on Nov 3

Full-timeGlasgow, UKNo salary listedIn-person

About the Job

Requirements

Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs and outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices.
Practical cloud-native experience.
An 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, including experience with PySpark, Spark SQL, and data manipulation.
Experience with large language model orchestration and agentic AI libraries.
Proficiency using generative AI models, such as OpenAI or similar, to solve business problems.
Experience building AI agents and agentic frameworks.
Experience building and managing data lakes and data-processing workflows using Databricks.
Ability to leverage AI agents and tools, such as Copilot, to enhance productivity and code quality.
Strong problem-solving and troubleshooting skills, with the ability to communicate ideas and results clearly to stakeholders.
Ability to quickly develop proofs of concept and advance them to production.

Responsibilities

Collaborate with cross-functional teams to identify business requirements and develop data-driven solutions using AI/ML and agentic/generative AI frameworks.
Work hands-on with large language models and agentic frameworks, such as LangChain and LangGraph.
Develop AI/ML, generative AI, and agentic AI solutions to address business needs.
Apply supervised, unsupervised, and semi-supervised machine-learning techniques.
Apply natural language processing and its applications.
Write Python code using libraries such as TensorFlow, Keras, PyTorch, and scikit-learn for dedicated projects.
Work with team members to productionize end-to-end AI/ML solutions.
Engage in research and development of relevant solutions.
Coach and mentor other AI/ML team members toward personal and professional success.
Collaborate with teams across the firm, engage with stakeholders, and understand business requirements.
Take initiative to drive assignments to completion and solve problems independently without escalation.

Desired Qualifications

Understanding of AWS components.
Experience integrating AI/ML models into data pipelines.
Experience with version control using Git and CI/CD pipelines.
Financial services background.

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

About the Company

JP Morgan Chase

Runs a consumer bank and an investment bank

JPMorgan Chase runs the largest bank in the United States, which serves households and small businesses as Chase and large companies, governments, and investors as J.P. Morgan. During the 2008 financial crisis it bought the failing investment bank Bear Stearns and lender Washington Mutual, and in 2023 it took over First Republic Bank after regulators seized it. Chase takes deposits and earns interest on credit cards, mortgages, and car loans, while the investment side earns fees for advising on mergers, raising money for companies, trading stocks and bonds, and managing wealth. Formed in a 2000 merger, JPMorgan Chase traces its roots to 1799 and is based in New York City.

Company size: 10,001+
Company stage: IPO
Headquarters: New York City, New York
Founded: 1799

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