Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

LLM / NLP Data Scientist Lead - Vice President - ESG

JPMorgan Chase & Co.
City of London
1 week ago
Create job alert
Overview

Are you ready to shape the future of investment management with cutting-edge data science? At J.P. Morgan Asset Management, you\'ll have the opportunity to create impactful solutions that support our ESG and Stewardship teams. You\'ll collaborate with talented professionals, grow your expertise, and make a real difference in how we serve our clients. Join us to advance your career and work on meaningful projects in a dynamic, inclusive environment.

As a Senior Data Scientist in Asset Management\'s Data Science team, you will design and implement machine learning solutions that enhance our ESG and Stewardship functions. You will work closely with stakeholders across stewardship, ESG, and engineering to build innovative tools from the ground up. Your technical expertise will drive impactful results, and you\'ll play a key role in shaping our data science capabilities. You\'ll thrive in a collaborative culture that values hands-on problem solving and continuous learning.

Responsibilities
  • Collaborate with internal stakeholders to gather requirements and understand business needs
  • Develop technical solutions using LLMs for search, content extraction, and principles-based reasoning
  • Build comprehensive testing packages to ensure solution efficacy and stakeholder trust
  • Design technical architectures and solutions for scalable implementation
  • Partner with engineering teams to deliver high-quality, scalable outputs
  • Stay current with developments in data science and become a subject matter expert
  • Communicate complex concepts and results to both technical and business audiences
Required Qualifications, Capabilities, and Skills
  • Advanced degree in a quantitative or technical discipline, or significant practical industry experience
  • Experience applying NLP, LLM, and ML techniques to solve business problems such as semantic search, information extraction, question answering, summarization, personalization, classification, or forecasting
  • Advanced Python programming skills with experience writing production-quality code
  • Strong understanding of ML algorithms including clustering, decision trees, and gradient descent
  • Knowledge of language models, prompt engineering, model finetuning, and domain adaptation
  • Familiarity with deep learning frameworks and their latest developments
  • Ability to communicate complex concepts and results to technical and business audiences
Preferred Qualifications, Capabilities, and Skills
  • Experience in Asset Management
  • Business domain knowledge in ESG, investment stewardship, proxy voting, corporate filings, or buyside investment
  • Familiarity with model explainability and self-validation techniques
  • CFA or equivalent financial qualification
About Us

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world\'s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants\' and employees\' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

About the Team

J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.


#J-18808-Ljbffr

Related Jobs

View all jobs

LLM / NLP Data Scientist Lead - Vice President - ESG

LLM / NLP Data Scientist Lead - Vice President - ESG

Lead Data Scientist – NLP

AI Data Scientist

Data Scientist

Lead Research Data Scientist | Fraud Detection in Market Research

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

AI Team Structures Explained: Who Does What in a Modern AI Department

Artificial Intelligence (AI) and Machine Learning (ML) are no longer confined to research labs and tech giants. In the UK, organisations from healthcare and finance to retail and logistics are adopting AI to solve problems, automate processes, and create new products. With this growth comes the need for well-structured teams. But what does an AI department actually look like? Who does what? And how do all the moving parts come together to deliver business value? In this guide, we’ll explain modern AI team structures, break down the responsibilities of each role, explore how teams differ in startups versus enterprises, and highlight what UK employers are looking for. Whether you’re an applicant or an employer, this article will help you understand the anatomy of a successful AI department.

Why the UK Could Be the World’s Next AI Jobs Hub

Artificial Intelligence (AI) has rapidly moved from research labs into boardrooms, classrooms, hospitals, and homes. It is already reshaping economies and transforming industries at a scale comparable to the industrial revolution or the rise of the internet. Around the world, countries are competing fiercely to lead in AI innovation and reap its economic, social, and strategic benefits. The United Kingdom is uniquely positioned in this race. With a rich heritage in computing, world-class universities, forward-thinking government policy, and a growing ecosystem of startups and enterprises, the UK has many of the elements needed to become the world’s next AI hub. Yet competition is intense, particularly from the United States and China. Success will depend on how effectively the UK can scale its strengths, close its gaps, and seize opportunities in the years ahead. This article explores why the UK could be the world’s next global hub for artificial intelligence, what challenges it must overcome, and what this means for businesses, researchers, and job seekers.