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Intern Data Scientist Machine Learning Jobs in Detroit, MI

As an AI/ML Data Scientist, you will be responsible for working with our customers to understand ... Train new machine learning models to solve complex business problems. * Prototype new AI solutions ...

As an AI/ML Data Scientist, you will be responsible for working with our customers to understand ... Train new machine learning models to solve complex business problems. * Prototype new AI solutions ...

The ideal candidate will leverage data science, machine learning, physics-based modeling, and signal processing techniques to predict component degradation and estimate Remaining Useful Life (RUL ...

Stefanini is looking for a Machine Learning Engineer(Dearborn, MI) For quick apply, please reach ... Data Mining, Data/Analytics dashboards, ALGORITHMS, Data/Analytics, Data Analysis, Data Science ...

Data Scientist

Plymouth, MI · On-site

$90 - $130/hr

The Data Scientist will support this effort by developing practical, scalable analytics, machine learning, and AI-enabled solutions that improve decision-making, strengthen reporting accuracy, and ...

Data scientists work closely with data engineers, analysts, and business teams to design analytics ... Strong grasp of machine learning algorithms like: * Regression (linear, logistic) * Causal ...

FORVIA is looking for a year-round Data Science Intern for its headquarters in Auburn Hills ... Use Python and common machine learning frameworks (e.g., PyTorch, TensorFlow, or scikit-learn) to ...

FORVIA is looking for a year-round Data Science Intern for its headquarters in Auburn Hills ... Use Python and common machine learning frameworks (e.g., PyTorch, TensorFlow, or scikit-learn) to ...

Leverage Natural Language Processing (NLP) and machine learning to categorize and cluster raw user ... Experience: 7+ years of experience in Data Science, Product Analytics, or Applied Machine Learning ...

Showing results 21-40

Intern Data Scientist Machine Learning information

See Detroit, MI salary details

$25.2K

$42.2K

$87.1K

How much do intern data scientist machine learning jobs pay per year?

As of Aug 18, 2026, the average yearly pay for intern data scientist machine learning in Detroit, MI is $42,156.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,200.00 and $45,500.00 per year, depending on experience, location, and employer.

What does an intern data scientist machine learning do?

An Intern Data Scientist in Machine Learning assists in analyzing large datasets, building predictive models, and extracting insights to support business decisions. They often work under the guidance of experienced data scientists to clean data, implement machine learning algorithms, and evaluate model performance. Their responsibilities may also include data visualization and reporting findings to team members. This role provides hands-on experience with real-world data science problems and tools, helping interns develop essential technical and analytical skills.

What types of projects and responsibilities can an intern data scientist machine learning expect to work on?

As an Intern Data Scientist focused on Machine Learning, you will often assist in tasks such as data cleaning, feature engineering, and developing or testing machine learning models under the supervision of senior team members. You may also be involved in exploratory data analysis and help interpret model results to provide actionable insights. Interns typically collaborate closely with data engineers, analysts, and software developers, gaining exposure to end-to-end machine learning pipelines. This hands-on experience provides valuable learning opportunities and helps build the foundational skills needed for future roles in data science.

What are the key skills and qualifications needed to thrive as an intern data scientist machine learning, and why are they important?

To thrive as an Intern Data Scientist (Machine Learning), you need a solid understanding of statistics, programming skills (typically in Python or R), and foundational knowledge of machine learning algorithms, often supported by coursework or relevant projects. Familiarity with tools like scikit-learn, TensorFlow, Jupyter notebooks, and version control systems (e.g., Git) is commonly expected. Strong analytical thinking, curiosity, and effective communication skills help you interpret data insights and work collaboratively within a team. These abilities are crucial for translating data into actionable solutions and contributing to impactful machine learning projects.

What is the difference between Intern Data Scientist Machine Learning vs Intern Data Analyst?

AspectIntern Data Scientist Machine LearningIntern Data Analyst
Required SkillsBasic programming, statistics, machine learning conceptsData analysis, Excel, SQL, visualization tools
Work EnvironmentResearch-focused, model development, algorithm testingData cleaning, reporting, dashboard creation
Common Industry UsageTech, finance, healthcareRetail, marketing, finance

Intern Data Scientist Machine Learning roles focus on developing and testing machine learning models, requiring knowledge of algorithms and programming. Intern Data Analyst positions emphasize data cleaning, analysis, and visualization. Both roles are entry-level but differ in technical depth and project focus, catering to different career paths within data-driven industries.

What are the most commonly searched types of Data Scientist Machine Learning jobs in Detroit, MI?

The most popular types of Data Scientist Machine Learning jobs in Detroit, MI are:

What are popular job titles related to Intern Data Scientist Machine Learning jobs in Detroit, MI?

For Intern Data Scientist Machine Learning jobs in Detroit, MI, the most frequently searched job titles are:

Full-time

Posted 4 days ago


Job description

GENERAL SUMMARY: 

The Data Scientist, Healthcare Analytics assists the Senior Data Scientist, Healthcare Analytics and other business analysts with working with business users to fully understand their needs for data science solutions. Works with a variety of data sources, both internal and external, big and small, structured and unstructured formats to build analytic models utilizing machine-learning techniques. Partners with the IT group to ensure that the data is sourced from the right location for data science model building. Participates in the development of project deliverables, especially documentation, for data science deliverables. As a team player, interacts with various other roles such as data engineers, business analysts and others. The Data Scientist, Healthcare Analytics solves analytical problems and develops cutting edge solutions to business problems. Should also be skilled at extracting, transforming, and analyzing data using a variety of common analytical tools and statistical techniques. Should be able to present findings in a compelling manner to both a business and non-technical audience. The position requires a team player that is eager to continue to learn and evolve with business needs and changes in the data and business environment. 

EDUCATION/EXPERIENCE REQUIRED: 

  • Must have an undergraduate (BS) degree in Statistics, Mathematics, Econometrics, Operations Research, Public Health, and Epidemiology or another related field. MS degree is preferred. 
  • Three plus (3+) years of professional work experience. 
  • Two plus (2+) years of experience involving quantitative data analyses for problem solving in US Healthcare industry. 
  • Two plus (2+) years of experience with predictive, forecasting, and optimization problem solving using data analytics tools like Python, R or SAS. 
  • Exposure of working with cloud Big Data Stack to orchestrate data gathering, cleansing, preparation and modelling preferred. 
  • Advanced SQL skills working with RDBMSs such as Oracle, SQL Server, etc. 
  • Experience working with data visualization tools or Data Visualization Designers in Tableau or Power BI. 
  • Also, experience with data visualization for analytic models in Rshiny, GGPlot, Qlik, Alteryx, Flask, D3, etc. used to tell the data story to business users to foster adoption of analytic outputs created preferred. 
  • Exceptionally skilled in machine learning, data analytics, pattern recognition and predictive modelling.
  •  Strong communication and presentation skills. Effective communication and storytelling skills. 
  • Energy and enthusiasm. Passion for learning and contributing to development. A true team player. Collaborative mindset for effective communication across teams.
Additional Information
  • Organization: Corporate Services
  • Department: Helios Enter Data Wrhse IT Exp
  • Shift: Day Job
  • Union Code: Not Applicable