We are looking for a Generative AI & LLM Engineer to help build AI-driven automation solutions that improve how Funds data is processed, validated and delivered.
This role focuses on practical application of AI, using Microsoft-based tools and platforms, to solve real business problems. You will work on automation initiatives that directly improve efficiency, data quality and turnaround times across large-scale content workflows.
You don’t need long years of industry experience — we are more interested in your ability to apply modern AI technologies effectively and translate ideas into working solutions.
What You’ll Be DoingHelping design and build AI-powered automation solutions for Funds data workflows.
Developing data science solutions using Microsoft AI and data platforms.
Applying machine learning, natural language processing and rule-based approaches to automate data processing tasks.
Building proofs of concept and working with engineers to move successful solutions into production.
Collaborating with content, product and engineering teams to understand problems and deliver practical solutions.
Contributing to projects that clearly improve capacity, accuracy or data timeliness.
Learning Funds data structures, workflows and quality controls.
Writing clean, efficient Python code and clearly documenting your work.
Communicating results and insights to both technical and non-technical colleagues.
Technical Skills
Experience using Python for data analysis, automation or machine learning.
Hands-on exposure to AI or machine learning techniques applied to real datasets.
Familiarity with Microsoft AI technologies, such as Azure Machine Learning, Azure AI Services or Microsoft Fabric.
Experience preparing data and evaluating model performance.
Interest in automation, data quality and operational efficiency.
Personal Qualities
Problem-solving mindset with a focus on practical outcomes.
Curiosity and willingness to learn new tools and domains.
Comfortable working in a collaborative team environment.
Able to explain technical work in clear, simple terms.
Degree (or equivalent experience) in Data Science, Computer Science, Engineering, Mathematics, Statistics or a related field.
Relevant experience through employment, internships, academic projects or personal projects.
Strong interest in applying AI to improve real-world processes.
Career Stage:
Senior Associate
Compensation Information:
LSEG is committed to offering competitive Compensation and Benefits. The anticipated annual gross base salary for this position is between 142,900 zł - 226,100 zł. Please be aware base salary ranges may vary by geographic location. In addition to our offered base salary, this role is eligible for our Annual Bonus Plan (”bonus plan”). Target Bonus % will be commensurate with role level and posted career stage. Individual salary will be reflective of job-related knowledge, skills and equivalent experience.Benefits Information:
LSEG roles (excluding internships) are typically eligible for inclusion in our LSEG Benefits program. To view the benefits available for the role you're applying for, please click here. This document provides a list of benefits by country. Simply click on the country where the role is based to view the relevant details. If you have specific questions or would like further details, these can be discussed during your interview.
London Stock Exchange Group (LSEG) Information:
Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.
LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.
Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.
Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.
We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.
LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.
Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it’s used for, and how it’s obtained, your rights and how to contact us as a data subject.
If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.
Skills Required
- Hands-on experience in data handling, data processing and programming
- Extensive experience using Python tools, packages, and libraries for model building
- Solid SQL skills and relational database experience
- Experience as full stack data scientist for 3-5 years
- Background in data/feature engineering, data science, NLP, predictive modeling, LLMs, RAG workflows
- Knowledge and experience with MLOps approaches
- Experience in Cloud computing and building/onboarding on AWS/Cloud platform
- Expertise in sourcing, scraping, crawling, extraction, pre-processing and post-processing of data
- Experience processing structured, semi-structured and unstructured data including PDFs and scanned documents (OCR)
- Experience developing automated solutions for data sourcing
- Ability to develop, improve, and run quantitative models and generate ML solutions
- Build POCs, visualizations and pipeline tools for product design and development
- Hands-on experience with market-leading commercial or open-source data management products
- Agile practitioner with experience leading agile teams from a product manager/owner perspective
- Strong interpersonal, communication, presentation, project management and influencing skills
- Higher education in Statistics, Mathematics or Computer Science or Data Science certification
- Familiarity with programming languages such as Python, R, VBA, SQL
- Broad business knowledge relevant to financial services and ability to resolve sophisticated business issues
- Experience working with development groups for deployment of analytics solutions
- Experience with prompt engineering techniques
- Experience in large investment banking or financial services organisations
- Experience working with executives and/or C-Suite individuals
- Experience working with distributed teams
What We Do
LSEG (London Stock Exchange Group) is a diversified international markets infrastructure business —earning our clients’ trust for over 300 years. That legacy of customer-focused excellence ensures that you can rely on our expertise in capital formation, intellectual property and risk and balance sheet management. As global leaders in financial indexing, benchmarking and analytic services, we offer unrivalled access to international capital markets. Our high-performance technology solutions enable companies worldwide to access funds for growth and development. And with our Data & Analytics, Capital Markets and Post Trade divisions, we provide a comprehensive, integrated suite of trusted financial market infrastructure services that help our customers pursue—and achieve—their ambitions. You can count on our open access model for unparalleled partnership, flexibility, stability, and support across all of our businesses. That’s how we make a difference— ensuring people can meet their potential—worldwide.









