About The Position

This is a paid, three-month internship at Philips for students pursuing an undergraduate or graduate degree. The intern will synthesize quantitative, qualitative, structured, and unstructured data to develop insights, using AI-enabled tools to accelerate analysis and validating findings against source data and business context. The role partners with business leaders and cross-functional teams to frame questions, scope research, and provide timely recommendations. It also maintains trusted data sets and semantic models, develops data and AI applications, dashboards, visualizations, and repeatable analytical workflows, and translates analysis into clear data stories and business recommendations. The role is an office position based in Cambridge, Massachusetts, or Nashville, Tennessee. Office-based teams work in person at least three days per week. Applicants must reside in or within commuting distance of one of those locations; relocation benefits are not provided. US work authorization is required, and visa sponsorship is not available.

Requirements

  • Currently pursuing a bachelor’s degree in a relevant field or an MBA.
  • Experience with modern data and analytics tools, including Python, R, or SQL.
  • Experience with BI and data-visualization tools such as Tableau or Power BI.
  • Familiarity with AI-enabled analytics or generative AI tools, and sound judgment to validate outputs against source data and business context.
  • Strong analytical, problem-solving, communication, organizational, teamwork, and stakeholder-management skills.
  • Self-directed, curious, and eager to take on meaningful responsibilities.
  • Strong computer skills, including Excel, PowerPoint, Word, and Outlook.
  • US work authorization; candidates requiring work-authorized visa sponsorship now or in the future will not be considered.
  • Must reside in or within commuting distance of Cambridge, Massachusetts, or Nashville, Tennessee.

Nice To Haves

  • Power BI experience is preferred.
  • Familiarity with Databricks, or interest in learning modern cloud data and AI platforms.

Responsibilities

  • Synthesize quantitative, qualitative, structured, and unstructured data to deliver insights.
  • Use AI-enabled tools to accelerate analysis and validate findings against source data and business context.
  • Partner with business leaders and cross-functional teams to frame questions, scope research, and deliver timely, actionable recommendations.
  • Maintain trusted data sets and semantic models, ensuring data quality, alignment, accessibility, and appropriate governance.
  • Translate analysis into clear data stories and business recommendations, using generative AI to accelerate exploration and drafting while retaining ownership of final outputs.
  • Build data and AI applications, dashboards, visualizations, and repeatable analytical workflows using Databricks, BI tools, SQL, Python, R, automation, and AI-enabled capabilities.

Benefits

  • Paid, three-month internship.
  • Overtime eligible.
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