Director, Data Science (AI)
Are you an expert Data Science leader with experience shipping real AI products to customers? Do you want to build innovative solutions for financial professionals with teams of brilliant, collaborative data scientists, software engineers, UX researchers and product managers? If so, we’d love to talk to you!
The London Stock Exchange Group (LSEG) is a global leader in financial market infrastructure, with a large and diverse portfolio of data, products and services. LSEG's Data & Analytics division has a long history of using classical machine learning (ML) techniques, and we're also at the forefront of using GenerativeAI to build intuitive solutions that use the wealth of information in our documentation, datasets and APIs.
We’re looking for an exceptional leader to help build and scale an organization to deliver on this promise. You'll solve customer problems using a combination of classical ML and GenAI technologies, delivering products that both delight our external customers, and help internal customers do their jobs effortlessly. We are not a PoC shop - we ship real products - so we're looking for someone who delights in the messiness of shipping AI-first products.
To be successful in this role, you will need outstanding communication skills, a demonstrated ability to influence company-wide leadership, indirect leadership experience, and deep technical depth. You will have a proven history of being able to set, organize around and deliver on a strategic vision, while also having the technical skills to help your teams navigate science and architectural tradeoffs. This is a leader-of-leaders role, so you will have experience hiring, training and inspiring leaders who will help you be successful.
Key responsibilities:
- Define, drive agreement on, and execute on a strategic data science vision
- Hire and develop diverse and impactful data science leaders and teams, providing technical oversight and standardized training
- Provide technical mentorship and support while letting your team make key decisions and learn from their mistakes
- Work with Product Managers and Software Engineering leaders to define and iteratively deliver roadmaps
- Build a collaborative team environment
Role summary:
We recognize that to attract the best talent, we need to be flexible, and we are open to discussing work arrangements with you. We take hybrid approach to workplace, this role is Digital First.
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.
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.
Qualifications:
- Master's degree in Computer Science, Statistics, Mathematics or related field, or equivalent work experience
- At least 5 years shipping machine learning models, ideally over the full product development lifecycle
- At least 2 years leading data science/machine learning teams indirectly (i.e., managing managers)
