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Graduate Data Science Intern Jobs in Rochester Hills, MI

Faurecia

Data Science Intern

Auburn Hills, MI · On-site

FORVIA is looking for a year-round Data Science Intern for its headquarters in Auburn Hills, Michigan. Your mission, roles and responsibilities * Assist in designing, building, and testing machine ...

Faurecia

Data Science Intern

Auburn Hills, MI · On-site

FORVIA is looking for a year-round Data Science Intern for its headquarters in Auburn Hills, Michigan. Your mission, roles and responsibilities Assist in designing, building, and testing machine ...

Varsity Tutors

Data Science Tutor

Detroit, MI · Remote

$40/hr

Ability to explain probability distributions, regression analysis, A/B testing, and data pipeline design while preparing students for data science roles, analytics careers, and graduate programs.

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Graduate Data Science Intern information

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How much do graduate data science intern jobs pay per hour?

As of Sep 15, 2026, the average hourly pay for graduate data science intern in Rochester Hills, MI is $20.71, according to ZipRecruiter salary data. Most workers in this role earn between $15.91 and $22.55 per hour, depending on experience, location, and employer.

What does a graduate data science intern do?

A Graduate Data Science Intern assists data science teams by analyzing large datasets, developing predictive models, and supporting data-driven decision-making. They often work with programming languages like Python or R, and use tools such as SQL, Excel, and machine learning libraries. Interns contribute to real-world projects, gain hands-on experience in data analysis, and help communicate findings to stakeholders. This role serves as a bridge between academic learning and practical application in the workplace.

What are the key skills and qualifications needed to thrive as a graduate data science intern?

To thrive as a Graduate Data Science Intern, you need foundational knowledge in statistics, machine learning, and data analysis, typically supported by a degree in a quantitative field. Familiarity with programming languages like Python or R, experience with data visualization tools, and understanding of databases are often required. Strong problem-solving abilities, curiosity, and effective communication help interns collaborate and present insights clearly. These skills enable interns to extract actionable information from data and contribute value to team projects.

What types of projects do graduate data science interns typically work on, and how do these projects support their professional development?

Graduate Data Science Interns often work on real-world data analysis projects such as building predictive models, cleaning and visualizing data, or assisting with machine learning algorithm implementation. These projects are usually part of larger team initiatives and provide interns with hands-on experience using industry-standard tools and methodologies. Collaborating closely with data scientists, engineers, and business stakeholders, interns gain exposure to the end-to-end data science workflow and receive mentorship to support their growth. This experience not only enhances their technical skills but also helps them develop problem-solving and communication abilities crucial for future career advancement.

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

AspectGraduate Data Science InternData Analyst Intern
Required CredentialsTypically pursuing or recently completed a degree in Data Science, Statistics, or related fieldOften pursuing or recently completed a degree in Data Analysis, Business, or related field
Work EnvironmentResearch-focused, data modeling, machine learning projects, collaborative teamsData collection, cleaning, reporting, visualization tasks
Employer & Industry UsageTech companies, finance, healthcare, academiaRetail, marketing, consulting, finance

The Graduate Data Science Intern role typically involves working on machine learning models and advanced analytics, requiring a background in data science or related fields. In contrast, Data Analyst Interns focus more on data cleaning, visualization, and reporting. Both roles are entry-level, often in similar industries, but differ in technical depth and project scope.

Is a graduate data science internship worth it?

A graduate data science internship provides practical experience with tools like Python and SQL, enhances skills in data analysis and machine learning, and can improve job prospects after graduation. It offers exposure to real-world projects and professional environments, which are valuable for career development.

What are popular job titles related to Graduate Data Science Intern jobs in Rochester Hills, MI?

For Graduate Data Science Intern jobs in Rochester Hills, MI, the most frequently searched job titles are:

What job categories do people searching Graduate Data Science Intern jobs in Rochester Hills, MI look for?

The top searched job categories for Graduate Data Science Intern jobs in Rochester Hills, MI are:

What cities near Rochester Hills, MI are hiring for Graduate Data Science Intern jobs?

Cities near Rochester Hills, MI with the most Graduate Data Science Intern job openings:

Graduate Data Science Intern jobs near you
Infographic showing various Graduate Data Science Intern job openings in Rochester Hills, MI as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, 1% Temporary, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $43,086 per year, or $20.7 per hour.

Data Science Intern

Auburn Hills, MI • On-site

Faurecia
Motor Vehicle Parts Manufacturing
Learn more about Faureciaexternal

Internship

Re-posted 18 days ago

Faurecia rating

5.9

Company rating: 5.9 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

Job description

Forvia, a sustainable mobility technology leader
New trends and expectations are reshaping the automotive industry. Inspired by the exciting new challenges associated with this revolution, FORVIA anticipates the future of mobility developing cutting-edge solutions for smart life on board and sustainable mobility. If you're willing to contribute and create value for tomorrow's cleaner and smarter mobility, FORVIA is the place to be.
FORVIA is looking for a year-round Data Science Intern for its headquarters in Auburn Hills, Michigan.
Your mission, roles and responsibilities
  • Assist in designing, building, and testing machine learning models for use cases such as computer vision, predictive maintenance, and anomaly detection.
  • Support the development of end-to-end ML workflows, including data preprocessing, feature engineering, and model evaluation.
  • Collaborate with engineering, manufacturing, and business teams to understand data and contribute to solving practical problems using AI.
  • Help optimize model performance and experiment with different algorithms under guidance from senior team members.
  • Use Python and common machine learning frameworks (e.g., PyTorch, TensorFlow, or scikit-learn) to develop and test models.
  • Assist in integrating models into applications and workflows alongside data and software engineers.
  • Contribute to exploratory AI initiatives, including generative AI use cases.
  • Document code, experiments, and findings to support reproducibility and knowledge sharing.
  • Stay current with emerging trends in data science and machine learning.

Your profile and competencies to succeed
  • Enrolled in a Bachelor's or Master's degree program
  • Data analysis and excel skills are a plus
  • Majors in computer science, data analysis, or related firld
  • Graduation of 2027 or later
  • Minimum 2.8 GPA

What we can do for you
  • At Forvia, you will find an engaging and dynamic environment where you can contribute to the development of sustainable mobility leading technologies.
  • We are the seventh-largest global automotive supplier, employing more than 157,000 people in more than 40 countries which makes a lot of opportunity for career development.
  • We welcome energetic and agile people who can thrive in a fast-changing environment. People who share our strong values. Team players with a collaborative mindset and a passion to deliver high standards for our clients. Lifelong learners. High performers. Globally minded people who aspire to work in a transforming industry, where excellence, speed, and quality count.
  • We cultivate a learning environment, dedicating tools and resources to ensure we remain at the forefront of mobility. Our people enjoy an average of more than 22 hours of online and in-person training within FORVIA University (five campuses around the world)
  • We offer a multicultural environment that values diversity and international collaboration. We believe that diversity is a strength. To create an inclusive culture where all forms of diversity create real value for the company, we have adopted gender diversity targets and inclusion action plans.
  • Achieving CO2 Net Zero as a pioneer of the automotive industry is a priority: In June 2022, Forvia became the first global automotive group to be certified with the new SBTI Net-Zero Standard (the most ambitious standard of SBTi), aligned with the ambition of the 2015 Paris Agreement of limiting global warming to 1.5°C. Three principles guide our action: use less, use better and use longer, with a focus on recyclability and circular economy.

Why join us
FORVIA is an automotive technology group at the heart of smarter and more sustainable mobility. We bring together expertise in electronics, clean mobility, lighting, interiors, seating, and lifecycle solutions to drive change in the automotive industry.
With a history stretching back more than a century, we are the 7th largest global automotive supplier, employing more than 157,000 people in 43 countries. You'll find our technology in around 1 out of 2 vehicles produced anywhere in the world.
In June 2022, we became the 1st global automotive group to be certified with the SBTI Net-Zero Standard. We have committed to reach CO2 Net Zero by no later than 2045.
As technological innovation and the need for sustainability transform the automotive industry, we are ideally positioned to deliver solutions that will enhance the lives of road-users everywhere.

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