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Data Scientist

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: London Stock Exchange Group
Full Time position
Listed on 2026-09-13
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Data Scientist
Salary/Wage Range or Industry Benchmark: 70000 - 110000 GBP Yearly GBP 70000.00 110000.00 YEAR
Job Description & How to Apply Below
Location: Greater London

## Data Scientist Apply locations:
G
-London-10 Paternoster Square time type:
Full time posted on:
Posted Todayjob requisition :
R0121912#
*
* ABOUT US:

** 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 your potential with meaningful careers.
** ROLE

SUMMARY:

** We are seeking an experienced Data Scientist to help develop and deploy enterprise-scale AI and machine learning solutions that improve operational efficiency, service resilience and customer outcomes.

You will work closely with software engineers, SREs, product managers, platform teams and business stakeholders to identify opportunities, build predictive models, evaluate AI solutions and take products from concept through to production.

The ideal candidate combines strong technical expertise with commercial awareness and the ability to translate complex data into actionable insights and measurable business value.##
** WHAT YOU'LL BE DOING:**### AI & Machine Learning Solutions
* Design, build and deploy machine learning models to solve operational and business challenges.
* Develop predictive analytics capabilities focused on incident prevention, service health, operational risk and customer experience.
* Support the development of Generative AI applications leveraging LLMs, retrieval systems and agentic workflows.
* Evaluate emerging AI technologies and recommend practical applications across the organisation.### Data Science & Analytics
* Perform advanced statistical analysis and modelling across large-scale operational and engineering datasets.
* Develop feature engineering, experimentation and model evaluation frameworks.
* Create insights…
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