Are you looking for an exciting job where you can put your skills and talents to work at a company you can feel proud to be a part of? Do you want a workplace that will challenge you and offer you opportunities to learn and grow?  A  position at Xcel Energy could be just what you’re looking for.

At Xcel Energy, our employees are the driving force behind our success. So we make sure that, here, you can be your best. Doing work that makes a difference for neighbors and communities. Working with a team you can count on to push you. Expanding skills, staying ready for change, and capturing opportunities to grow. All with the support, rewards and recognition you need to thrive – during your internship and beyond.

The Data Scientist will support ISP in designing and optimizing business processes and data flows within the Databricks/XDF architecture. This role will involve both front-end user-facing work and back-end data engineering and analytics development in Databricks. The individual will contribute to a variety of use cases across the business, including model inputs and 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. In addition, the Data Scientist will support ad hoc analytics and modeling initiatives across the company, partnering with teams in Resource Planning, Electric Distribution, Transmission, Gas, and other business areas to deliver data-driven solutions.

Typical intern responsibilities may include but are not limited to:

• Deliver analytics projects with guidance from senior team members.

• Learn the business domain while building technical expertise.

• Effectively communicate findings and recommendations.

• Developing data products in Databricks.

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

This position is for a May 24, 2027 start date. This position may have the possibility to extend beyond the internship’s initial term based on the candidate’s successful performance and Xcel Energy’s business needs.

Minimum Requirements:

• Current student, Graduate School

• Enrolled in an accredited college or university and 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 a week)/ part time during the school year (up to 20 hours a week) and commuting to the designated work location in-person, per our hybrid work policy.

Preferred Qualifications:

• Preferred 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

As a leading combination electricity and natural gas energy company, Xcel Energy offers a comprehensive portfolio of energy-related products and services to 3.4 million electricity and 1.9 million natural gas customers across eight Western and Midwestern states. At Xcel Energy, we strive to be the preferred and trusted provider of the energy our customers need. If you’re ready to be a part of something big, we invite you to join our team.

All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Individuals with a disability who need an accommodation to apply please contact us at [email protected].

Benefit plans are subject to change and Xcel Energy has the right to end, suspend, or amend any of its plans, at any time, in whole or in part.

In any materials you submit, you may redact or remove age-identifying information including but not limited to dates of school attendance and graduation.  You will not be penalized for redacting or removing this information.

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ACCESSIBILITY STATEMENT

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