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Data Science Internship Cpt Jobs in Michigan (NOW HIRING)

Consumers Energy

Data Scientist

Jackson, MI · On-site

We are unable to hire individuals with CPT, OPT, or STEM OPT for this position as the position is ... Communicate data science outputs effectively and support the development of models and solutions ...

New

State of Michigan

Data Quality Assurance Intern

Lansing, MI · On-site

$15.25 - $20.25/hr

... internship, must be currently enrolled pursuing your bachelor's or master's degree in one of the below areas of study: • Preferred majors: Public Health, Public Administration, Data Science ...

General Motors

Data Analyst

Warren, MI

Bachelor's degree in computer science, engineering, statistics, mathematics, physics, supply chain ... CPT, TN, J-1, etc). This role is categorized as hybrid. This means the selected candidate is ...

Corning

... science, data engineering, software engineering, or relevant hands-on academic, internship, personal, or professional projects. - Strong Python foundation and hands-on experience with at least one ...

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Data Science Internship Cpt information

What is the difference between Data Science Internship Cpt vs Data Analyst Internship Cpt?

AspectData Science Internship CptData Analyst Internship Cpt
Required CredentialsTypically requires coursework in statistics, programming, and data analysis; sometimes a related degreeSimilar requirements, often focusing on data analysis and visualization skills
Work EnvironmentInvolves data modeling, machine learning, and predictive analytics in tech or finance sectorsFocuses on data cleaning, reporting, and visualization in various industries
Employer & Industry UsageUsed by tech companies, finance, and consulting firms for data-driven projectsCommon across multiple industries including marketing, healthcare, and retail

While both internships involve working with data, Data Science Internship Cpt emphasizes machine learning and predictive modeling, whereas Data Analyst Internship Cpt focuses on data visualization and reporting. Both roles require similar foundational skills but differ in their technical depth and application areas.

What types of projects and collaboration opportunities can I expect during a Data Science Internship CPT?

During a Data Science Internship CPT, you can expect to work on real-world data projects such as data cleaning, exploratory analysis, model development, and visualization tasks. Interns often collaborate closely with data scientists, engineers, and product managers, gaining exposure to cross-functional teamwork. You may also participate in meetings, present findings, and contribute to solving business challenges using data-driven approaches. This environment fosters both technical skill development and professional growth, providing valuable experience for future roles in the field.

What is a Data Science Internship CPT?

A Data Science Internship CPT (Curricular Practical Training) is a temporary work authorization for F-1 international students in the U.S., allowing them to gain practical experience in data science while enrolled in a degree program. The internship must be directly related to the student's major and typically offered through a cooperative agreement between the employer and the educational institution. CPT is usually part-time during the academic year and can be full-time during breaks, but using full-time CPT for 12 months or more may affect eligibility for Optional Practical Training (OPT).

What are the key skills and qualifications needed to thrive as a Data Science Internship CPT, and why are they important?

To thrive as a Data Science Internship CPT, you typically need foundational knowledge in statistics, programming (usually Python or R), and data analysis, often supported by ongoing studies in computer science or a related field. Familiarity with tools such as Jupyter Notebook, SQL databases, and machine learning libraries like scikit-learn or TensorFlow is highly valuable. Strong problem-solving skills, curiosity, and effective communication help interns translate data insights into actionable recommendations. These abilities are crucial for contributing meaningfully to data-driven projects and learning effectively during the internship.
What are popular job titles related to Data Science Internship Cpt jobs in Michigan? For Data Science Internship Cpt jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Data Science Internship Cpt jobs in Michigan look for? The top searched job categories for Data Science Internship Cpt jobs in Michigan are:
What cities in Michigan are hiring for Data Science Internship Cpt jobs? Cities in Michigan with the most Data Science Internship Cpt job openings:
Data Science Internship Cpt jobs near you

Data Scientist

Consumers Energy

Jackson, MI • On-site

Other

Medical, Dental, Vision, Retirement, PTO

Posted yesterday

New

Consumers Energy rating

8.3

Company rating: 8.3 out of 10

Based on 59 frontline employees who took The Breakroom Quiz

23rd of 53 rated energy and utility

Job description

Consumers Energy is Michigan's largest energy provider, providing natural gas and/or electricity to 6.8 million of the state's 10 million residents in all 68 Lower Peninsula counties. Consumers Energy knows job number one is to keep the lights on for customers. We are committed to delivering reliable, clean, and affordable energy to our customers 24/7.

This position is not eligible for immigration sponsorship, e.g., H-1B, TN, etc. Please do not apply if you will need immigration sponsorship for a work visa now or in the future, including sponsorship for H-1B, TN, etc., now or in the future. We are unable to hire individuals with CPT, OPT, or STEM OPT for this position as the position is not eligible for participation in the H-1B lottery program and is not eligible for current or future immigration sponsorship for a work visa.

Location: This is a hybrid (virtual/onsite) position with required onsite days on Monday, Tuesday and Thursday and may be assigned to any Consumers Energy Service Center located throughout Michigan's lower Peninsula. The selected candidate must be within a commutable distance or willing to relocate (relocation package is available for those that qualify).

General Summary of Job Responsibilities

The Data Scientist will support the organization's data output processes and partner with the business to define requirements for analytical and strategic initiatives. This role requires a strong understanding of business needs and the ability to generate actionable insights using a variety of analytical methods.

Essential Duties and Responsibilities
  • Prioritize business initiatives and structure projects for optimal success, considering budget, staffing, and regulatory requirements.
  • Communicate data science outputs effectively and support the development of models and solutions that provide clear, actionable insights for business execution.
  • Plan, organize, and manage resources and processes to achieve project or program objectives within established scope, timelines, quality standards, and budget constraints.
  • Lead analytics initiatives from ideation through production and adoption, demonstrating a strong understanding of the analytics lifecycle and common pitfalls.
  • Perform other duties as assigned or as necessary.
Additional Essential Duties and Responsibilities
  • Design, develop, and maintain scalable analytical solutions using Python, SQL, Spark, Databricks, Microsoft Fabric, and cloud-based analytics platforms.
  • Build and optimize enterprise data pipelines that extract, transform, and integrate data from multiple internal and external sources.
  • Design and implement Lakehouse architectures, dimensional models, and curated data products to support advanced analytics and reporting.
  • Develop predictive, prescriptive, and machine learning models to identify trends, risks, opportunities, and future business outcomes.
  • Independently perform data exploration, feature engineering, model development, validation, deployment, and monitoring.
  • Translate ambiguous business problems into analytical frameworks, hypotheses, models, and actionable recommendations.
  • Develop complex business logic, algorithms, and statistical methodologies to support decision-making.
  • Create, optimize, and maintain Power BI semantic models, dashboards, reports, KPIs, and data visualizations.
  • Partner with business leaders to identify opportunities where analytics, machine learning, and AI can improve operational performance and business outcomes.
  • Evaluate data quality, establish governance practices, and ensure analytical solutions maintain accuracy, scalability, and reliability.
  • Present analytical findings and recommendations to both technical and executive audiences.
  • Support the deployment, operationalization, and continuous improvement of analytical models and decision-support tools.
Knowledge/Skills/Abilities
  • Strong quantitative analytics skills and structured problem solving abilities.
  • Ability to evaluate strengths and weaknesses of alternative solutions, conclusions, or approaches.
  • Basic knowledge of data modeling, machine learning algorithms, statistical analysis, data visualization, and data engineering.
  • Broad understanding of project management principles and ability to identify project and business requirements.
  • Excellent written and verbal communication skills.
  • Ability to compile, organize, interpret, and clearly communicate data and analytical results.
  • Strong process management skills.
  • Ability to use logic and reasoning to evaluate alternative solutions, conclusions, or approaches.
Additional Knowledge/Skills/Abilities
  • Advanced proficiency in Python, SQL, R, PySpark, or similar analytical programming languages.
  • Deep experience with Microsoft Fabric, Databricks, Azure Data Services, Data Lakehouse architectures, and enterprise data platforms.
  • Strong understanding of data engineering concepts including ETL/ELT, data orchestration, pipeline development, and distributed data processing.
  • Experience building semantic models and interactive dashboards using Power BI.
  • Demonstrated expertise in predictive analytics, forecasting, statistical modeling, machine learning, and AI applications.
  • Strong knowledge of dimensional data modeling, star schema design, data warehousing, and Lakehouse principles.
  • Experience combining structured and unstructured data sources to create enterprise analytical solutions.
  • Ability to independently lead analytics projects from business intake through production deployment.
  • Strong critical thinking and problem-solving skills with the ability to translate business challenges into technical solutions.
  • Ability to communicate complex technical concepts to non-technical stakeholders and executive leadership.
Education/Experience
  • Bachelor's degree in Information Technology, Data Analytics, or a related field, with two (2) or more years of experience in data science, data analysis, data modeling, and business needs assessment
    • [OR]Associate's degree in Data Science, Information Technology, Data Analysis, or a related field, with four (4) or more years of relevant experience
    • [OR]High School Diploma with six (6) or more years of experience in data science, data analysis, data modeling, and business needs assessment
Preferred Experience

Candidates with one or more of the following skills will stand out:

  • Hands-on experience with Microsoft Fabric including Data Factory, Data Engineering, Data Science, Lakehouse, and Power BI workloads.
  • Experience developing enterprise-scale machine learning and predictive analytics solutions.
  • Expertise in building and deploying data products that support operational decision-making.
  • Experience creating feature stores, model pipelines, and MLOps frameworks.
  • Familiarity with geospatial analytics, optimization techniques, causal inference, time-series forecasting, and statistical experimentation.
  • Experience integrating operational, financial, asset, customer, and third-party datasets to generate business insights.
  • Demonstrated success working independently while managing multiple analytics initiatives simultaneously.
  • Experience supporting utility, energy, infrastructure, asset management, safety, supply chain, or operational analytics environments.

Why should you join our team?

At Consumers Energy, we offer more than just a place to work. We foster a culture that supports career development, growth, and stability, and we take pride in offering our co-workers excellent benefits and compensation packages. We are deliberately creating an inclusive culture that makes our diverse team of co-workers feel valued, supported, and empowered every day. We're a company made up of thousands of people, all with different stories to share and work to do, but we stand united in our company purpose: world class performance delivering hometown service.

What we offer:

  • Competitive compensation packages
  • Medical, Dental and Vision
  • 401k with company match
  • Paid parental leave
  • Up to 13 paid Holidays
  • Paid time off
  • Educational Assistance Program

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 in Energy (WE), Minority Advisory Panel (MAP), Pride Alliance of Consumers Energy (PACE), GENERGY (Different Generations), capable (Different Abilities), Interfaith, People Planet Partners, 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.

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