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

Lead Data Scientist – NLP

AI Data Scientist

Data Scientist

Lead Research Data Scientist | Fraud Detection in Market Research

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 Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.

Why the UK Could Be the World’s Next Data Science Jobs Hub

Data science is arguably the most transformative technological field of the 21st century. From powering artificial intelligence algorithms to enabling complex business decisions, data science is essential across sectors. As organisations leverage data more rapidly—from retailers predicting customer behaviour to health providers diagnosing conditions—demand for proficiency in data science continues to surge. The United Kingdom is particularly well-positioned to become a global data science jobs hub. With world-class universities, a strong tech sector, growing AI infrastructure, and supportive policy environments, the UK is poised for growth. This article delves into why the UK could emerge as a leading destination for data science careers, explores the job market’s current state, outlines future opportunities, highlights challenges, and charts what must happen to realise this vision.