About The Position

Join Apple Finance for a six-month internship at the intersection of corporate finance and data science. Interns contribute to Apple’s business by working on projects with Finance professionals and applying their educational background to real-world problems within Apple’s data infrastructure. The role is within Global Business Solutions (GBS), which operates four shared service centers worldwide and supports Apple’s growth. The internship offers experience across financial analysis, data science, and machine learning engineering. Depending on interests and experience, interns may build data-driven tools for financial reporting and operational improvements, analyze large financial datasets, support core financial procedures, and develop operational solutions. The position requires a commitment to a six-month, full-time internship starting in February 2027, without visa sponsorship.

Requirements

  • Currently pursuing a Bachelor’s or Master’s degree in Finance, Accounting, Economics, Business Administration, or a related quantitative discipline.
  • Able to commit to a six-month full-time internship starting in February 2027 without visa sponsorship.
  • Basic proficiency in at least one programming language, such as Python or SQL.
  • Practical experience through work, projects, or research with data analysis, data modeling, machine learning algorithms, and/or software development principles.
  • Strong analytical and problem-solving skills, including the ability to identify trends and anomalies and translate complex data into actionable insights.
  • Excellent verbal and written communication skills, including the ability to explain complex technical concepts as concise, business-focused solutions.
  • Ability to thrive in a fast-paced environment, manage multiple tasks effectively, and demonstrate a self-starter mindset.

Nice To Haves

  • Candidates in their penultimate year of a Bachelor’s degree are encouraged to apply.
  • Experience with data querying languages such as SQL or Spark and extracting insights from large, complex datasets.
  • Familiarity with financial systems, accounting principles, or corporate finance concepts.
  • Experience with data visualization tools such as Tableau and data science platforms such as Dataiku.
  • Understanding of database management, financial data structures, and reporting requirements.

Responsibilities

  • Design, build, and implement scalable, easy-to-use data-driven systems and tools for financial reporting and operational improvements.
  • Streamline reporting processes using databases such as Tableau and SQL, and scripting tools such as Python and Excel macros.
  • Work with large, complex financial datasets to solve business problems, create analytical models, and produce impactful insights.
  • Analyze financial performance by identifying trends, anomalies, and key insights using advanced data analysis and predictive modeling techniques.
  • Collaborate with cross-functional finance, business, and technical partners to analyze operations and provide data-backed recommendations for improvements and innovation.
  • Assist with vendor payments, cash application, invoicing compliance, accounting matters, and close processes, identifying opportunities to automate and optimize.
  • Contribute to developing and deploying end-to-end operational solutions, including real-time and batch decisioning.
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