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Sr. Data Scientist, Apple Pay Analytics

Apple Inc.
London
2 weeks ago
Applications closed

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Description

In this role, you will serve as a strategic analytics partner to senior business leaders across multiple functions, driving high-impact, cross-functional initiatives from end to end. You’ll be responsible for translating complex business questions into structured analytical approaches, applying statistical and advanced analytical techniques to uncover insights, evaluate performance, and identify opportunities for growth and efficiency. Your work will involve delivering clear, data-backed recommendations that influence decision-making at the highest levels. You’ll collaborate closely with data engineering to ensure data quality and accessibility.Our culture is about getting things done, iteratively and rapidly, with open feedback and debate along the way. We believe analytics is a team sport, but we strive for independent decision-making and taking smart risks.

Minimum Qualifications

  • Proven experience in an Analytics and Strategy role.
  • Strong business acumen and the ability to think strategically and operationally.
  • Be a self-starter, driven, accountable and a high-energy teammate.
  • Proven experience being a thought partner to cross-functional business teams with data insights and recommendations.
  • Demonstrated ability to influence without authority.
  • Excellent communication skills—able to distill complex analysis into simple, compelling narratives. Background in consulting or customer-facing, fast-paced analytical environment.
  • Expertise with SQL, R or Python and data visualisation tools such as Tableau for full-stack data analysis, insight synthesis and presentation. Well versed with Applied Statistical/ML techniques.
  • Demonstrated ability dealing with ambiguity and juggling between multiple priorities, to lead high quality work adhering to tight deadlines

Preferred Qualifications

  • Experience in the Financial Services or Fintech space.
  • Skilled at operating in a cross-functional organisation.
  • Ability to understand ambiguous and complex problems and design and execute analytical approaches and turn analysis into clear and concise takeaways that drive action.
  • Curious business attitude with a proven ability to seek projects with a sense of ownership.


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National AI Awards 2025

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