About The Position

The Data Science / Analytics Intern will support the Technology & Data Solutions organization in delivering advanced analytics, data-driven insights, and innovative technology solutions that accelerate business impact. This role offers hands-on experience across the data and analytics lifecycle, including data preparation, model development support, visualization, and insight generation. The intern will work closely with data scientists, engineers, and product teams to support real-world use cases that drive decision-making and operational efficiency. Consistent with the function’s mission, this work contributes to delivering impactful, scalable technology and data solutions that enable better outcomes for internal stakeholders and customers.

Requirements

  • Currently pursuing a Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field
  • Exposure to programming languages such as Python or R
  • Foundational knowledge of SQL and data querying
  • Familiarity with data analysis libraries (e.g., pandas, NumPy) or visualization tools (e.g., Power BI, Tableau)
  • Understanding of statistical concepts and basic machine learning techniques preferred
  • Strong analytical and problem-solving skills
  • Curiosity and a desire to work with complex datasets
  • Ability to communicate insights clearly and effectively
  • Attention to detail and commitment to high-quality outputs
  • Collaborative mindset with the ability to work in a team environment

Responsibilities

  • Support data science and analytics projects across the full lifecycle, including data gathering, cleaning, and exploratory analysis
  • Assist in developing and testing predictive or descriptive models under the guidance of senior team members
  • Analyze data sets to identify trends, patterns, and actionable insights
  • Build dashboards and visualizations to communicate findings to technical and non-technical stakeholders
  • Partner with cross-functional teams (engineering, product, business teams) to understand requirements and translate them into analytical approaches
  • Contribute to documentation of data workflows, methodologies, and results
  • Perform testing, validation, and quality checks on data and analytical outputs
  • Present findings and recommendations to team members and leadership

Benefits

  • company car or car allowance
  • Health benefits to include Medical, Dental and Vision
  • Company match 401k
  • eligibility to participate in Employee Stock Purchase Plan
  • Eligibility to earn commissions/bonus based on company and individual performance
  • flexible paid time off (PTO) and sick time
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