Data Scientist Intern - MN, CO

Quick Facts

• Role: Data Scientist (Intern)

• Start date: May 24, 2027

• Work: Full-time during the summer (up to 40 hours/week); part-time during the school year (up to 20 hours/week)

• Location: In-person at designated work location per hybrid work policy

• Extension: May extend beyond the internship’s initial term based on successful performance and business needs

Description

The Data Scientist will support ISP in designing and optimizing business processes and data flows within the Databricks/XDF architecture. The role includes both front-end user-facing work and back-end data engineering and analytics development in Databricks, contributing to use cases such as model inputs/outputs, future project data management, ETL development for model workflows, application development, rate and cost analysis, and integration with enterprise data platforms outside of ISP. The intern also supports ad hoc analytics and modeling initiatives by partnering with teams across Resource Planning, Electric Distribution, Transmission, Gas, and other business areas.

Responsibilities

• Deliver analytics projects with guidance from senior team members

• Learn the business domain while building technical expertise

• Effectively communicate findings and recommendations

• Develop data products in Databricks

• Work with Python, SQL, Git, and cloud-based analytics tooling

Minimum Requirements

• Current student or Graduate School student

• Enrolled in an accredited college or university

• Pursuing a degree in Data Science, Computer Science, Statistics, Applied Mathematics, Analytics/Business Analytics, Operations Research, Industrial Engineering, Computer Engineering, Information Systems (MIS/CIS), or similar

• Able to work full-time during the summer (up to 40 hours/week)

• Able to work part-time during the school year (up to 20 hours/week)

• Commuting to the designated work location in-person per hybrid work policy

Preferred Qualifications

• Coursework: Machine Learning, Statistical Modeling, Data Structures & Algorithms, Database Systems/SQL, Python Programming, Data Engineering, Cloud Computing, Optimization, Time Series Analysis, Operations Research, Predictive Analytics

• Experience with Python, PyTorch, and PySpark

Benefits

• Pension

• 401(k) plan

• Paid time off (PTO)

• Holidays

Compensation

Anticipated starting base pay: $22.10 to $27.90 per hour

Additional Notes

Benefits plans are subject to change and may be ended, suspended, or amended at any time.