Level

LSEG

Data Scientist

AI in this role

scikit-learn
ragai-agentsml-opsai-evaluationai-safety
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 and recommendations that drive decision making for senior stakeholders.
  • Build and maintain reproducible data science workflows and pipelines.

Product Delivery

  • 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 prioritisation discussions.

Collaboration & Innovation

  • Work with subject matter experts from Engineering, Operations, Service Management and Product organisations.
  • 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.

WHAT YOU'LL BRING:

Essential Experience

  • Demonstrable experience delivering machine learning or AI solutions within a large-scale enterprise environment.
  • Strong experience applying statistical modelling, 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.

Technical Skills

  • Python and associated data science ecosystem (Pandas, NumPy, Scikit-learn).
  • Machine learning techniques including classification, regression, clustering and anomaly detection.
  • Experience with 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 visualisation and storytelling tools.

Desirable Skills

  • Experience within financial services, regulated environments or market infrastructure.
  • Familiarity with Azure AI services and Microsoft AI ecosystem.
  • Experience with observability, SRE or operational analytics use cases.
  • Experience developing AI-powered automation solutions.
  • Knowledge of Responsible AI and model governance frameworks.

Behaviours & Competencies

The successful candidate will demonstrate:

  • 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 organisational boundaries.
  • Ownership and accountability for delivery.
  • Clear communication and stakeholder management skills.
  • Commitment to continuous learning and innovation.

Career Stage:

Senior Associate

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.

How we rate this

Data Scientist at LSEG rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

RAGAI AgentsML OpsAI EvaluationAI Safetyscikit-learn

Questions you could be asked

  1. How would you design a retrieval step so the model answers from real data instead of guessing?
  2. How do you decide when an AI agent can act on its own versus asking for approval first?
  3. How do you monitor a model once it's live, and how do you know it needs retraining?
  4. How do you decide that one model's output is better than another's for a given task?
  5. How do you think about the risk of an AI system in this kind of role failing silently?

Adapt your resume

  • List these exact terms on your resume: RAG, AI Agents, ML Ops, AI Evaluation, and AI Safety. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.

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