Data & Analytics Intern 🎓

Synopsis of the role: This 12-week Internship Program (May 18-Aug 7, 2026) is a gateway to full-time career paths for current university students. The program provides meaningful projects with direct impact on our business as well as exposure to senior leaders and opportunities to network. The program is designed to support research and advanced development techniques for Artificial Intelligence (AI) and Machine Learning (ML).

What you will do:

• Enable building the AI/ML prototypes using data, equations, and mathematical results to deliver insight into new and emerging solutions.

• Partner in development of scalable solutions using large datasets with other data scientists on the team.

• Integrate diverse data sources, data types and data structures into an innovative visualization prototype.

• Work with key stakeholders to develop advanced solutions or improve existing solutions around data and analytics.

What you will need:

• Graduate students obtaining a Master's degree in Data Science, Statistics, Analytics, Mathematics, or Computer Science or a related STEM field

• Expected graduation date of May 2027

• Experience or coursework in code development in SQL, Python, Hive, Impala, R

What could set you apart:

• Strong SQL and/or Big Query skills in Big Data environment.

• Formal coursework and/or familiarity with AI/Machine learning

• Experience working with large datasets, knowledge of distributed computing tools (Spark, MapReduce, Hive, Apache Mahout etc.) a plus

• Excellent problem solving skills with the ability to design algorithms, which may include data cleaning, data mining, data clustering and data preparation for visualization

• Personal qualities desired: creativity, tenacity, curiosity, and passion for excellence in a rapidly changing prototyping environment

• Experience in Spotfire and/or Tableau

We offer comprehensive compensation and healthcare packages, 401k matching, paid time off, and organizational growth potential through our online learning platform with guided career tracks.