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LSEG

Global financial market infrastructure and data

Director – Data Science - AI

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeLondon, UKNo salary listed

About the Job

Requirements

  • A master's degree in Computer Science, Statistics, Mathematics, or a related field, or equivalent work experience.
  • At least 5 years of experience shipping machine learning models, ideally across the full product development lifecycle.
  • At least 2 years of indirect leadership experience with data science or machine learning teams, such as managing managers.
  • Outstanding communication skills, demonstrated ability to influence company-wide leadership, indirect leadership experience, and deep technical depth.
  • A proven history of setting and organizing around a strategic vision and delivering on it, with technical skills to help teams navigate scientific and architectural tradeoffs.

Responsibilities

  • Define, drive agreement on, and execute 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 allowing the team to make key decisions and learn from mistakes.
  • Work with Product Managers and Software Engineering leaders to define and iteratively deliver roadmaps.
  • Build a collaborative team environment.
  • Solve customer problems using classical machine learning and generative AI technologies, delivering products for external customers and internal customers.
  • Help build and scale an organization that delivers AI-first products.

Desired Qualifications

  • Experience shipping machine learning models over the full product development lifecycle is ideally preferred.

About the Company

LSEG

Global financial market infrastructure and data

LSEG provides global financial market infrastructure and data across the full value chain. It delivers data, analytics, and risk-management tools, benchmarks via FTSE Russell, regulatory and financial crime risk services, and trading, clearing, and settlement through its Capital Markets and Post Trade divisions, typically accessed via subscriptions, licensing, and fees. The company differentiates itself by offering an integrated, end-to-end platform that covers pre-trade data and analytics to post-trade processing with a broad, global footprint. Its goal is to grow over the long term by leveraging its diversified portfolio and international reach to create value for shareholders and customers.

Company size
10,001+
Company stage
IPO
Headquarters
London, United Kingdom
Founded
1801

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