Join to apply for the Data Scientist role at LSEG.
About LSEG
LSEG (London Stock Exchange Group) is more than a diversified global financial markets infrastructure and data business. We are dedicated, open‑access partners with a dedication to excellence in delivering the services our customers expect from us. With extensive experience, deep knowledge and worldwide presence across financial markets, we enable businesses and economies around the world to fund innovation, manage risk and create jobs. It’s how we’ve contributed to supporting the financial stability and growth of communities and economies globally for more than 300 years. Through a comprehensive suite of trusted financial market infrastructure services – and our open‑access model – we provide the flexibility, stability and trust that enable our customers to pursue their ambitions with confidence and clarity.
LSEG is headquartered in the United Kingdom, with significant operations in 70 countries across EMEA, North America, Latin America and Asia Pacific. We employ 25,000 people globally, more than half located in Asia Pacific. LSEG’s ticker symbol is LSEG.
Our People
People are at the heart of what we do and drive the success of our business. Our culture of connecting, creating opportunity and delivering excellence shape how we think, how we do things and how we help our people fulfil their potential. We embrace diversity and actively seek to attract individuals with unique backgrounds and perspectives. We break down barriers and encourage teamwork, enabling innovation and rapid development of solutions that make a difference. Our workplace generates an enriching and rewarding experience for our people and customers alike. Our vision is to build an inclusive culture in which everyone feels encouraged to fulfil their potential.
We know that real personal growth cannot be achieved by simply climbing a career ladder – which is why we encourage and enable a wealth of avenues and interesting opportunities for everyone to broaden and deepen their skills and expertise. As a global organisation spanning 70 countries and one rooted in a culture of growth, opportunity, diversity and innovation, LSEG is a place where everyone can grow, develop and fulfil their potential with meaningful careers.
Role Summary
We are looking for an experienced Data Scientist with practical experience in LLM Ops who can help us establish LSEG’s first LLM Ops capability. This is an exciting time as we will bring the best people together to design and operate a new blueprint for LLM Ops in LSEG and in the industry. The role is pivotal in bridging the gap between data science, AI engineering and project delivery. You will work closely with AI engineers and cross‑functional project teams to analyse production data, identify key insights, and contribute to development and management of AI‑driven solutions, including large language models (LLMs).
What You’ll Be Doing
* Collaborate with AI engineers and software delivery teams to design, develop, and deploy production‑grade AI systems powered by large language models.
* Analyse production data to identify trends, anomalies, and performance issues, and provide actionable insights.
* Define and monitor key metrics to ensure the health and effectiveness of AI models in production.
* Support the lifecycle management of LLMs, including fine‑tuning, evaluation, deployment, and monitoring.
* Partner with project teams to understand business needs and translate them into data science solutions.
* Develop and maintain robust, scalable code for data pipelines, model training and evaluation.
* Contribute to the continuous improvement of data science practices and tooling within the organization.
* Work as part of a global team with members in Manila, Thailand, Europe and the Americas. You may need to start early or finish late in order to collaborate across time zones.
What You’ll Bring
* Experience with version control (e.g., Git), CI/CD pipelines and containerisation (e.g., Docker).
* Knowledge of data governance, privacy and ethical AI practices.
* Proven experience as a Data Scientist in a software delivery or technology‑driven environment.
* Strong data manipulation skills (pandas, SQL) and understanding of evaluation strategies for LLM‑based systems.
* Strong programming skills in Python (or similar), with experience in data manipulation, machine learning and model deployment.
* Software engineering skills to evaluate non‑deterministic systems that users can trust.
* Ability to work with ambiguity and optimise non‑deterministic systems through experimentation and evaluation while balancing latency, cost and quality trade‑offs.
* Hands‑on experience working with production data and monitoring AI/ML systems in live environments.
* Familiarity with LLMs and generative AI technologies, including prompt engineering.
* Experience with cloud platforms (e.g., AWS, Azure, GCP) and ML Ops tools is a plus – for example AWS Bedrock.
* Experience with tools such as Langfuse and SageMaker.
* Strong communication skills and the ability to work effectively with cross‑functional teams.
Benefits and Support
LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.
Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. We value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.
Equal Opportunities
We are proud to be an equal opportunities employer. We do not discriminate on the basis of 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. We can accommodate applicants’ religious practices and beliefs, as well as mental health or physical disability needs.
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.
#J-18808-Ljbffr