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Internship F1 Data Science Jobs in Michigan (NOW HIRING)

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

... data science, machine learning, supply chain analytics, packaging analytics, logistics analytics, or a similar role. (any internship or co-op experience will not be considered) * Strong SQL ...

General Motors

Data Analyst

Warren, MI · On-site

... data science, machine learning, supply chain analytics, packaging analytics, logistics analytics, or a similar role. (any internship or co-op experience will not be considered) * Strong SQL ...

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 ...

Auto-Owners Insurance Group

Kettering Co-op

Lansing, MI

$19.50 - $25.50/hr

Internship postings can be found here: Software Developer Co-op: Responsibilities include ... An understanding of statistical modeling or data science concepts, especially clustering ...

Auto-Owners Insurance Group

Kettering Co-op

Lansing, MI · On-site

$19.50 - $25.50/hr

Internship postings can be found here: Software Developer Co-op: Responsibilities include ... An understanding of statistical modeling or data science concepts, especially clustering ...

Autoliv United States

GenAI Intern

Auburn Hills, MI

$14.25 - $19/hr

Currently pursuing a degree in CS, AI, Data Science, or related field * Availability to work on site 4 days a week, part time * Availability to complete a 1 year internship * Basic Python or ...

Autoliv United States

GenAI Intern

Auburn Hills, MI · On-site

$14.25 - $19/hr

Currently pursuing a degree in CS, AI, Data Science, or related field * Availability to work on site 4 days a week, part time * Availability to complete a 1 year internship * Basic Python or ...

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All JobsF1 Data Science JobsInternship F1 Data Science JobsInternship F1 Data Science Jobs in Michigan

Internship F1 Data Science information

What is the difference between Internship F1 Data Science vs Data Analyst Intern?

AspectInternship F1 Data ScienceData Analyst Intern
Required CredentialsRelevant coursework, basic programming skills, possibly some certificationsSimilar: coursework, basic analytics skills, some certifications
Work EnvironmentTech companies, finance, healthcare; collaborative, project-basedBusiness, tech, consulting; data-focused, team-oriented
Employer & Industry UsageInternships in data science teams across industriesInternships in analytics teams across industries
Comparison Search IntentYesYes

Internship F1 Data Science and Data Analyst Intern roles share similar requirements and work environments, focusing on data handling and analysis. However, Data Science internships often emphasize machine learning, statistical modeling, and programming, while Data Analyst internships focus more on data visualization, reporting, and basic analytics. Both roles serve as entry points into data careers, but their specific skill sets and project types differ slightly.

What types of projects can an intern expect to work on during an F1 Data Science internship?

As an F1 Data Science intern, you can expect to work on projects involving race data analysis, predictive modeling, and performance optimization. You'll collaborate with engineering and analytics teams to process telemetry data, build machine learning models, and generate insights that can influence race strategies. Interns often have the opportunity to contribute to real-world decisions by visualizing data or automating data pipelines. This experience provides a hands-on understanding of how data science directly impacts the competitive edge in Formula 1.

What is an Internship F1 Data Science?

An Internship F1 Data Science is a temporary, entry-level position typically offered to students or recent graduates who are interested in applying data science techniques to Formula 1 (F1) motorsport. Interns in this role work with large sets of racing data, assist with data analysis, and contribute to performance optimization for F1 teams. They gain hands-on experience with real-world data, advanced analytics, and machine learning models, often working alongside experienced data scientists and engineers. This internship provides valuable exposure to both the fast-paced F1 environment and the technical demands of sports analytics.

What are the key skills and qualifications needed to thrive as an Internship F1 Data Science, and why are they important?

To thrive as an F1 Data Science intern, you need a solid background in statistics, mathematics, and programming (often with Python or R), supported by ongoing or completed studies in a STEM field. Familiarity with data analysis tools, machine learning libraries, and motorsport telemetry systems is typically expected. Strong problem-solving abilities, attention to detail, and effective communication skills help interns contribute meaningfully to team projects. These capabilities are crucial for interpreting complex data, supporting performance optimization, and collaborating in the high-pressure, fast-paced environment of F1 teams.
What are the most commonly searched types of F1 Data Science jobs in Michigan? The most popular types of F1 Data Science jobs in Michigan are:
What are popular job titles related to Internship F1 Data Science jobs in Michigan? For Internship F1 Data Science jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Internship F1 Data Science jobs in Michigan look for? The top searched job categories for Internship F1 Data Science jobs in Michigan are:
What cities in Michigan are hiring for Internship F1 Data Science jobs? Cities in Michigan with the most Internship F1 Data Science job openings:
Internship F1 Data Science jobs near you
Infographic showing various Internship F1 Data Science job openings in Michigan as of July 2026, with employment types broken down into 14% Internship, 68% Full Time, 11% Part Time, and 7% Temporary. Highlights an 82% In-person, and 18% Remote job distribution.
Data Scientist - Modeling and Analytics

Data Scientist - Modeling and Analytics

AAA Life Insurance Company

Livonia, MI • On-site

Full-time

Posted 10 days ago

Job description

Overview
Why AAA Life
AAA Life is a respected and trusted American brand that has been focusing on Life Insurance and Annuity Products since 1969. At AAA Life we have over 1.8 million policies where we take pride in earning the trust of our policyholders who understand our promise to be there for them - and their families - when we're needed most. By joining the AAA Life team, you are joining a company that genuinely cares about helping each other, with a devotion to protect the lives of those around us. We embrace a diverse, equitable, inclusive culture where all associates can feel a sense of belonging and use their unique talents and perspective to influence, innovate, motivate, and thrive.
How You'll Work
Work Solution: Hybrid
Responsibilities
What You'll Do
As a Data Scientist - Modeling and Analytics, you will be responsible for creating statistical models and performing analyses that drive sales and policy growth for the organization. You will partner with marketing team members, marketing managers, and other data analysts and scientists to identify business needs, gather data, build, and maintain effective models, and assess model performance over time. This role requires proficiency in SQL for data manipulation, Sagemaker or other AI/ML tools for model building, R or Python for data analysis, and a visualization tool such as PowerBI for quickly assessing model performance.
  • Build, maintain, and automate models to predict purchase propensity, policy premium, policy lapse/retention, cross-selling, upselling, next best action, and other consumer behaviors using both internal data, census data, appended aggregated data, and macroeconomic data. Recommend marketing distribution strategies leveraging data and models.
  • Conduct advanced exploratory data analysis. Perform model interpretability and explainability analysis.
  • Leverage specific metrics for model performance evaluation (e.g., precision, recall, F1 score). Implement A/B testing and experimental design and quantitative benchmarks for model improvement
  • Apply data privacy and compliance rules under regulations like GDPR, CCPA. Apply ethical AI principles. Apply model fairness and bias mitigation techniques.
  • Conduct analyses to assess model performance and campaign performance, both against test datasets and actual results once deployed.
  • Forecast campaign results based on models built and validate forecast against actuals.
  • Work with marketing data architects and engineers to ensure data is clean, complete, correct, and suitable for modeling using AI/ML platforms.
  • Develop and maintain data pipelines. Implement feature engineering techniques. Find, recommend, and purchase additional data to use in model building
  • Proactively identify opportunities for model improvement and need for additional modeling projects.
  • Maintain clear and organized documentation of data, methodologies, and results.
  • Implement automation in existing processes to improve overall efficiency.
  • Perform ad hoc analysis to support Marketing Distribution efforts
  • Actively seek out innovation and optimization use cases and experiments that will result in organizational transformation and sales and profit improvements.

Qualifications
Qualifications
Basic Required Qualifications:
  • Skilled in cross-functional collaboration, agile methodologies, project management and stakeholder communication.
  • Advanced training or academic focus in non-parametric statistics, resampling methods, or Bayesian approaches for small sample inference
  • Experience applying sequential testing or multi-armed bandit approaches to maximize insights from limited samples in marketing contexts
  • Able to effectively communicate and translate complex, technical finding in a candid, clear, concise, and non-technical fashion to all audiences
  • Maintain perspective between the big picture and the tactical details. Remains aligned with the organization's strategic plan.
  • Stellar attention to detail, including maintaining accuracy and consistency across a suite of data science assets, keeping documentation up to date, and proactively identifying and addressing any quality concerns.
  • Self-starter with the ability to identify priorities and focus on items with high business impact.
  • Ability to present complex analytical findings with persuasiveness and succinctness.

Preferred Qualifications:
  • Master's degree in Statistics, Economics, Mathematics, Data Science, or related field. Experienced in marketing analytics or customer behavior modeling.
  • 5 to 7 years of experience in data science, including hands-on experience with Machine Learning (e.g., scikit-learn, TensorFlow, PyTorch, DataRobot, Databricks) and Generative Artificial Intelligence. Experience with automated model deployment and monitoring tools.
  • Possess outstanding analytical, modeling, problem-solving, and critical-thinking skills.
  • Experienced with cloud platforms such as AWS, Azure, and Google Cloud. Familiar with big data technologies (Spark, Hadoop)
  • Strong knowledge of machine learning algorithms and their applications in automated systems. Experience with advanced modeling techniques like ensemble methods, time series analysis, and probabilistic modeling
  • High proficiency in Python or R for statistical analysis, model development, and process automation. Proficient+ with SQL for data extraction and manipulation.
  • Proficiency with data visualization tools (Power BI, Tableau, or similar) and their automation capabilities

While performing the duties of this job, the employee is frequently required to stand, walk, sit, use hands to finger, handle, or feel, talk, hear and concentrate. Specific vision abilities required by this job include close vision, distance vision, depth perception, and ability to adjust focus.
This job requires the ability to perform duties contained in the job description for this position, including, but not limited to, the above requirements. Reasonable accommodation will be made for otherwise qualified applicants as needed to enable them to fulfill these requirements.
We are committed to ensuring equal employment opportunities for all job applicants and employees. Employment decisions are based upon job-related reasons regardless of an applicant's race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, marital status, genetic information, protected veteran status, or any other status protected by law.
AAA Life Insurance Company does not offer immigration sponsorship for this position. This includes visa types such as H-1B, TN, and STEM OPT. Please do not apply if you currently require or may require employer-sponsored immigration support now or in the future.
#LI-Hybrid

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