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Urgent! Intern/Co-Op- Data Scientist Job Opening In Jackson – Now Hiring Consumers Energy

Intern/Co Op Data Scientist



Job description

Join the diverse and dynamic team that powers Michigan's largest energy provider and one of the nation's largest gas and electric combination utilities.

Consumers Energy services 6.8 million of Michigan's 10 million residents - caring for our friends and neighbors in all 68 Lower Peninsula counties.

We embrace a cleaner and leaner utility vision focused on eliminating energy waste and adding renewable energy from sources such as wind and solar.

Intern Data Scientist

Location


This position is onsite a minimum of three days per week at our corporate headquarters in Jackson, MI.

The selected candidate must be within commutable distance or willing to relocate (a relocation package is available for those who qualify).


The interview process for this position will consist of both a panel interview and a technical assessment.

  • This position is not open to sponsorship.
  • General Summary of Job Responsibilities


    The Intern Data Scientist will support the organization’s data science capabilities.

    The incumbent will collaborate with the data science team and business stakeholders to establish requirements and data requests for analytics projects.

    They will work to understand the business needs of various departments and generate actionable insights using a range of analytical methods.

    Essential Duties and Responsibilities

  • Collaborate with a team to evaluate, select, build, train, and apply the most effective modeling approaches using data science theory.

  • Communicate data science outputs and support the development of models and solutions that provide insights for business interpretation and execution.

  • Support analytics initiatives from ideation through production and adoption, with an understanding of the analytics lifecycle and common pitfalls.

  • Perform other duties as assigned or as necessary.
  • Knowledge, Skills, & Abilities

  • Strong acumen in quantitative analytics and structured problem-solving.

  • Ability to identify the strengths and weaknesses of alternative solutions, conclusions, or approaches to problems.

  • Foundational knowledge of data modeling, machine learning algorithms, statistical analysis, data visualization, and data engineering.

  • Basic understanding of project management and the ability to identify project/business requirements.

  • Excellent written and verbal communication skills.

  • Ability to compile, organize, interpret, and communicate data and results concisely.

  • Strong logical reasoning skills to evaluate alternative solutions and approaches.
  • Education


    Currently enrolled and actively pursuing a bachelor’s or master’s degree in Data Science, Data Analytics, or a related field.

    Hours and Travel


    Must be able to meet the travel requirements of the position and work a flexible schedule, which may include evenings, weekends, holidays, and overtime.

    Physical Demands


    The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job.

    Reasonable accommodation may be made to enable individuals with disabilities to perform these functions.


    While performing the duties of this job, the employee is regularly required to sit, stand, walk, stoop, kneel, crouch, crawl, and use hands to handle or feel objects.

    The employee is frequently required to talk and hear.

    The employee must be able to lift and move up to twenty pounds.

    Specific vision abilities required include close vision, color vision, depth perception, and the ability to adjust focus.


    The work environment characteristics described here are representative of those encountered while performing the essential functions of this job.

    The noise level in the work environment is usually moderate.

    Important Note


    This posting does not represent a specific position and is intended to collect resumes from students interested in internship opportunities with Consumers Energy.

    Opportunities may include summer 2026 or part-time roles.


    Due to the nature of this posting and its alignment with the winter/spring recruitment season, applications will be collected from September through October 2025.

    Responses to applications may be delayed due to the extended application period.

    The best way to stand out is to visit us on campus!

    Consumers Energy Employee Referrals


    If you are a Consumers Energy employee and would like to refer an applicant to this position, please visit your Workforce Connect homepage and use the “Refer Friends and Family” section.


    For questions, please contact: E-R

    Diversity, Equity & Inclusion: 

    We, at CMS Energy, value Diversity, Equity, & Inclusion.

    It is part of our DNA.

    We treat our employees with respect, we treat each other fairly and we value the opinions of others.

    We are passionate about building and nurturing an environment where everyone feels included.

    We don’t discriminate.

    We seek to learn about each other and better understand our unique differences.

    Our uniqueness makes us authentic.

    We create safe spaces where everyone can be who they truly are.

    We invite difficult conversations and uncomfortable topics.

    We value diverse perspectives; this is what makes us great together.

    We harbor an inclusive environment where employees feel empowered to share their backgrounds, experiences, and ideas.

    Our Employee Resource Groups, Women’s Advisory Panel (WAP), Women’s Engineering Network (WEN), Minority Advisory Panel (MAP), Pride Alliance of Consumers Energy (PACE), GENERGY, capable, Interfaith and Veterans Advisory Panel (VAP) are key enablers to living the values of our company culture: Caring, Empowered, Deliberate, Agility, and Ownership.

    All qualified applicants will not be discriminated against and will receive consideration for employment without regard to protected veteran status, disability, race, color, religion, sex, age, sexual orientation, gender identity or national origin.


    Job Segment: Summer Internship, Statistics, Data Modeler, Intern, Entry Level, Data, Part Time


    Required Skill Profession

    Mathematical Science Occupations



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