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Intern Python Data Science Jobs in Michigan (NOW HIRING)

Proficiency in Python for data science and machine learning model development. * Handson experience using Databricks for largescale data science and experimentation. * Working knowledge of Spark for ...

Minimum of 5 years of experience in data science, econometrics or a related field * Proficiency in Python and SQL * Hands-on experience with big data and cloud platforms such as Databricks, Snowflake ...

Proficiency in Python for data science and machine learning model development. * Handson experience using Databricks for largescale data science and experimentation. * Working knowledge of Spark for ...

Proficiency in Python for data science and machine learning model development. * Handson experience using Databricks for largescale data science and experimentation. * Working knowledge of Spark for ...

Required : • Master in Data Science / Computer Science • 5 years of relevant experience (i.e ... Spark, Databricks, Snowflake • Strong programming skills in Python and SQL • Knowledge of ...

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Python-Driven Data Analytics: Leverage Python data libraries (pandas, NumPy, SciPy) to clean raw ... Education: Bachelor's degree in Data Engineering, Computer Science, Mechanical/Manufacturing ...

As our Director of Data Science you will set the foundation that powers impactful data-driven ... Skilled in SQL, Python, and R, you navigate platforms like Fivetran, Snowflake, and DBT with ease.

Data Scientist 2

Southfield, MI · On-site

$90K - $113K/yr

... data science, analytics, machine learning or AI * Automotive, manufacturing, or industrial experience preferred. SKILLS AND ABILITIES: * Proficiency in Python and SQL; experience with R or Java a ...

As our Director of Data Science you will set the foundation that powers impactful data-driven ... Skilled in SQL, Python, and R, you navigate platforms like Fivetran, Snowflake, and DBT with ease.

... data science, analytics, machine learning or AI * Automotive, manufacturing, or industrial experience preferred. SKILLS AND ABILITIES: * Proficiency in Python and SQL; experience with R or Java a ...

Data Scientist

Dearborn, MI · On-site +1

$128K - $186K/yr

Master's degree or foreign equivalent in Data Science, Computer Science, Statistics, Operations ... 1. Python and SQL programming for data extraction, analysis, or integration. 2. Using cloud ...

... data science solutions. Lead Data Scientist architects, defines, and design the data science ... Python, R or SAS. Two plus (2+) years of experience involving quantitative data analyses for ...

Design and implement robust, scalable data science and Machine Learning Operations (MLOps ... Python, or Go * 2+ year experience with database systems (SQL, NoSQL), API design (REST/GraphQL ...

Using our customers' data and advanced data science, we are building products that allow our ... Programming & Modeling: Advanced knowledge of Python and a strong foundation in mathematics ...

Using our customers' data and advanced data science, we are building products that allow our ... Programming & Modeling: Advanced knowledge of Python and a strong foundation in mathematics ...

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Intern Python Data Science information

What are the key skills and qualifications needed to thrive as an Intern Python Data Science, and why are they important?

To excel as an Intern Python Data Science, you should have a solid grasp of Python programming, statistics, and foundational data analysis concepts, typically supported by coursework or academic projects in data science or related fields. Familiarity with tools like Jupyter Notebook, Pandas, NumPy, and basic machine learning libraries such as scikit-learn is commonly expected. Curiosity, problem-solving, and the ability to communicate findings clearly are standout soft skills in this role. These competencies enable interns to effectively support data-driven projects, contribute to team goals, and develop practical experience essential for a future data science career.

What types of projects can I expect to work on as an Intern Python Data Science?

As an Intern Python Data Science, you will typically work on projects involving data cleaning, exploratory data analysis, and the development of predictive models using Python libraries like pandas, NumPy, and scikit-learn. You may be tasked with supporting ongoing research, building data visualizations, or automating data collection processes. Collaboration with data scientists and engineers is common, offering opportunities to learn best practices in code review, version control, and teamwork. These experiences provide a solid foundation for more advanced roles in data science.

What does an Intern Python Data Science do?

An Intern Python Data Science assists data science teams with tasks such as data cleaning, analysis, and visualization, primarily using Python programming. They may work on projects involving data collection, processing, and building simple predictive models. Interns are also expected to learn and apply various data science techniques and tools, often under the guidance of experienced data scientists. This role provides hands-on experience and exposure to real-world data challenges, helping interns develop their technical and analytical skills.

What is the difference between Intern Python Data Science vs Intern Data Analyst?

AspectIntern Python Data ScienceIntern Data Analyst
Required SkillsPython, data analysis, machine learning basicsExcel, SQL, data visualization
Work EnvironmentTech companies, startups, research labsBusiness, finance, marketing departments
Common TasksData cleaning, modeling, scriptingData reporting, dashboard creation

Intern Python Data Science roles focus on programming, machine learning, and advanced data analysis, often in tech-driven environments. Intern Data Analyst positions emphasize data reporting, visualization, and basic analysis in business settings. While both roles require analytical skills, Intern Python Data Science roles demand coding proficiency, whereas Intern Data Analyst roles focus more on data presentation and interpretation.

What are the most commonly searched types of Python Data Science jobs in Michigan? The most popular types of Python Data Science jobs in Michigan are:
What are popular job titles related to Intern Python Data Science jobs in Michigan? For Intern Python Data Science jobs in Michigan, the most frequently searched job titles are:
Data Scientist

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 7 days ago


Consumers Energy rating

8.2

Company rating: 8.2 out of 10

Based on 57 frontline employees who took The Breakroom Quiz

24th of 50 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 position is onsite minimally 3 days a week at Jackson Service Center located in Jackson, MI. 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 Applications and Analytics team is at the heart of innovation, powering Michigan’s future by crafting cutting-edge digital solutions that transform how our customers and communities experience energy. Guided by our Digital First strategy, we harness modern technical practices and agile methodologies to ensure data and insights are accessible, reliable, and actionable, enabling evidence-based decision-making, operational efficiency, and innovation across the organization. Join a dynamic team where collaboration, creativity, and impact converge!   

We partner closely with business teams to uncover digital opportunities, prioritize high-impact outcomes, and deliver trustworthy, user-friendly technology. By embracing our CE Way principles—engaging on solutions, illuminating priorities, and minimizing waste—we build systems that are simple, helpful, and valuable. If you’re passionate about innovation, community, and shaping a sustainable energy future, come grow with us at Consumers Energy!   

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. 
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. 
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: 

  • Familiarity with dimensional modeling concepts (fact tables, dimensions, star schemas) and the rationale behind analytical data model structures. 
  • Proficiency in Python for data science and machine learning model development. 
  • Handson experience using Databricks for largescale data science and experimentation. 
  • Working knowledge of Spark for distributed data processing and feature engineering. 
  • Experience applying statistical modeling, machine learning, or predictive analytics to business problems. 
  • Ability to collaborate with data engineers to design and prepare featureready datasets and pipelines. 
  • Understanding of model evaluation, validation, and interpretability techniques. 
  • Experience communicating analytical results to stakeholders and supporting insight adoption. 
  • Strong understanding of the analytics lifecycle from problem definition through production support. 

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, 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.


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