Data Scientist - WPC - Analytics

Here, you’ll do more than join something — you’ll add something. At Apple, extraordinary ideas have a way of becoming great products, services, and customer experiences very quickly. If you are an ambitious, hands on seasoned senior analytics, high-energy individual who is not afraid of challenges, we’re looking for you to join the Wallet, Payments & Commerce Analytics organization to craft the future for the Apple Pay business.

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.

About Apple

• Apple is where individual imaginations gather together, committing to the values that lead to great work.
• Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other’s ideas stronger.
• That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better.
• It’s the diversity of our people and their thinking that inspires the innovation that runs through everything we do.
• When we bring everybody in, we can do the best work of our lives.
• We believe analytics is a team sport, but we strive for independent decision-making and taking smart risks.

Responsibilities

• 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.

Requirements

• 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.
• 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.

Preferred

• 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.