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About the Role

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 collaborate 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 to production. The ideal candidate possesses strong technical expertise, commercial awareness, and the ability to translate complex data into actionable insights and measurable business value.

Responsibilities

• 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 organization.
• Perform advanced statistical analysis and modeling across large-scale operational and engineering datasets.
• Develop feature engineering, experimentation, and model evaluation frameworks.
• Create insights and recommendations that drive decision-making for senior stakeholders.
• Build and maintain reproducible data science workflows and pipelines.
• Partner with engineering and product teams to transition solutions from proof-of-concept into production.
• Define success metrics and measurement frameworks for AI products.
• Support model monitoring, governance, and continuous improvement activities.
• Contribute to AI product roadmaps and prioritization discussions.
• Work with subject matter experts from Engineering, Operations, Service Management, and Product organizations.
• Communicate technical concepts clearly to both technical and non-technical audiences.
• Contribute to the growth of LSEG's AI and Data Science community through knowledge sharing and mentoring.
• Promote responsible AI, model governance, and data-driven decision-making.

Requirements

• Demonstrable experience delivering machine learning or AI solutions within a large-scale enterprise environment.
• Strong experience applying statistical modeling, predictive analytics, and experimentation techniques.
• Experience working with structured and unstructured data at scale.
• Proven ability to translate business problems into measurable analytical outcomes.
• Experience taking models from development into production environments.
• Strong problem-solving capability and analytical thinking.
• Curiosity and a passion for applying AI to real-world challenges.
• Customer-focused mindset with a focus on outcomes.
• Ability to work effectively across organizational boundaries.
• Ownership and accountability for delivery.
• Clear communication and stakeholder management skills.
• Commitment to continuous learning and innovation.

Skills

• Python and associated data science ecosystem (Pandas, NumPy, Scikit-learn)
• Machine learning techniques including classification, regression, clustering, and anomaly detection
• Generative AI, LLMs, RAG architectures, or agent-based AI solutions
• SQL and large-scale data analysis
• Cloud-based data science platforms and MLOps practices
• Data visualization and storytelling tools
• Financial services, regulated environments, or market infrastructure experience (Desirable)
• Azure AI services and Microsoft AI ecosystem (Desirable)
• Observability, SRE, or operational analytics use cases (Desirable)
• AI-powered automation solutions (Desirable)
• Responsible AI and model governance frameworks (Desirable)

Location

• London

Work Type

• Full-time

Experience Level

• Senior Associate

Benefits

• Healthcare
• Retirement planning
• Paid volunteering days
• Wellbeing initiatives

About the Company

• LSEG (London Stock Exchange Group) is a diversified global financial markets infrastructure and data business.
• We are dedicated, open-access partners committed to excellence in delivering services.
• We enable businesses and economies worldwide to fund innovation, manage risk, and create jobs.
• We have supported financial stability and growth globally for over 300 years.
• Our comprehensive suite of trusted financial market infrastructure services and open-access model provide flexibility, stability, and trust.
• LSEG is headquartered in the United Kingdom with significant operations in 70 countries.
• We employ 25,000 people globally.
• Our culture connects people, creates opportunity, and delivers excellence.
• We embrace diversity and actively seek individuals with unique backgrounds and perspectives.
• We break down barriers and encourage teamwork, fostering innovation and rapid development.
• Our vision is to build an inclusive culture where everyone can fulfill their potential.
• We encourage and enable diverse avenues for skill and expertise development.
• LSEG is a place where everyone can grow, develop, and fulfill their potential with meaningful careers.
• We are 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 values are Integrity, Partnership, Excellence, and Change.
• We are a dynamic organization with 25,000 people across 65 countries.
• We value individuality and enable employees to bring their true selves to work.
• We encourage new ideas in a collaborative and creative culture.
• We are committed to sustainability across our global business.
• We partner with customers to help them meet their sustainability objectives.
• The LSEG Foundation provides charitable grants to community groups.
• Colleagues can get involved through fundraising and volunteering.

Equal Opportunity

• 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 reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.