Principal Data Scientist

London, England, United Kingdom

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.

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.

As the Principal Data Scientist you will act as a data science subject matter expert, leading multiple large projects and building data science products and solutions. You will utilise deep data science knowledge and expertise, leading projects and building data science products and solutions.

• Lead projects from a data science perspective, removing obstacles and taking ownership to find creative solutions.
• Build data science products and solutions utilising data science techniques directly.
• Create compelling proposals with technologists and business to drive innovation from conception to production with appropriate success metrics.
• Utilise deep domain expertise in financial market content, data science and LSEG data and products.
• Network with various stakeholders and communities, staying aware of leading-edge techniques, tools and technology.
• Handle senior level stakeholder engagements internally and externally to discover problems and use cases, and to translate business impact of ongoing and completed projects.
• Lead and inspire a team while actively contributing to projects.
• Write and review highly optimized code for LSEG products and solutions and provide feedback and suggested improvements to team members.

• Significant experience in a data science related role.
• Demonstrable experience on data migration using ETL tools.
• Ability to translate business requirements into data solutions.
• Expert level skill on Informatica IICS or Matillion or equivalent ETL tool covering source extraction to complex mappings.
• Proficient level coding knowledge on Python and SQL.
• Experience with providing technical solutions and supporting documentation.
• Ability to communicate effectively in English with all levels of staff, both orally and written.

• Snowflake Storage and Database.
• Cloud Native based applications using AWS or Azure.
• Understanding…