Data Science Team Lead

3 days ago

London, Greater London, United Kingdom Experian Full time

Job Summary

The ESS Data Science Team is seeking a highly skilled and experienced professional to lead our efforts in supporting Experian's global business. As a Data Science Team Lead, you will be responsible for accelerating the use of Experian products, demonstrating new solutions to clients, and providing a clear understanding of how our products are deployed on our platform.

Main Responsibilities

  • Gather customer feedback from top-tier financial institutions to guide new product development, feature prioritization, and product evolution of tools and capabilities supported by the Ascend Platform.
  • Lead teams in a collaborative effort involving Engineering and data science experts in the design and implementation of Machine Learning, Dashboarding, Ad Hoc Analysis, and AI application on a true big data platform.
  • Partner with Leaders, Sales Engineers, Account Executives, and Product Managers to bring new innovative solutions to market that provide impact to Experian's broad customer base.
  • Stay informed about regulatory changes and technological advancements to ensure the technology stack meets all compliance requirements.
  • Research and integrate new data assets from different resources into Experian's ML and AI platform. Assess analytic tools developed internally and externally for their fit and value add to Experian's clients to solve business problems and capture opportunities.
  • Be the main liaison between regional product management and technical analytics and engineering teams.

Qualifications

  • Extensive experience in credit risk management.
  • Experience of managing the build of analytical tools in a regulatory environment.
  • Master's degree in Statistics, Mathematics, Computer Science, or related field or relevant experience.
  • Strong knowledge of statistical analysis software/data analysis experience including data manipulation; preferably Python and R.
  • A track record for leading project teams, managing complex analytical projects, and setting decision strategies and policies.
  • The ability to present to all levels of management within Experian and to our clients.

About Experian

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics, and software. We also assist millions of people to realise their financial goals and help them save time and money.

We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments.

We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland.

We celebrate our people's uniqueness and take our people agenda very seriously. We focus on what matters; DEI, work/life balance, development, authenticity, engagement, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experian's people-first approach is award-winning; Great Place To Work in 24 countries, FORTUNE Best Companies to work, and Glassdoor Best Places to Work (globally 4.4 Stars) to name a few.

Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability, or age.

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