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Intern Python Data Science Jobs in Michigan (NOW HIRING)

FastTek

Data Architect Specialist

Dearborn, MI · On-site

$58.50 - $75.25/hr

Master's degree in Business, Data Science, Analytics, or a related field. * Experience with cloud platforms such as Amazon Web Services, Microsoft, or Google. * Familiarity with SQL, Python, data ...

Saanvi Technologies

Senior Data Product Manager

Dearborn, MI · On-site

$116K - $153K/yr

Master's degree in Business, Data Science, Analytics, or a related field. * Experience with cloud platforms such as Amazon Web Services, Microsoft, or Google. * Familiarity with SQL, Python, data ...

State of Michigan

Data Quality Assurance Intern

Lansing, MI · On-site

$15.25 - $20.25/hr

Intern Responsibilities / Projects: Projects could include: Perform accurate data entry, data ... Public Health, Public Administration, Data Science, Environmental Health, or a related field ...

State of Michigan

Data Quality Assurance Intern

Lansing, MI · On-site

$15.25 - $20.25/hr

Intern Responsibilities / Projects: Projects could include: • Perform accurate data entry, data ... Public Health, Public Administration, Data Science, Environmental Health, or a related field ...

Hello Innovation

Director of Data Science

Detroit, MI · On-site

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.

Stellantis

Data Scientist

Auburn Hills, MI · On-site

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 ...

Hello Innovation

Director of Data Science

Detroit, MI · On-site

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.

Td

Principal Data Scientist (US)

Southfield, MI · On-site

$148K - $223K/yr

Is familiar with the business context and data infrastructure and can translate business problems to viable data science solutions * Uses a wide range of programing languages (e.g. Python) and ...

TD Bank Group

Principal Data Scientist (US)

Southfield, MI · On-site +1

$148K - $223K/yr

Is familiar with the business context and data infrastructure and can translate business problems to viable data science solutions * Uses a wide range of programing languages (e.g. Python) and ...

Munich Re

Data Scientist

Ann Arbor, MI · On-site +1

Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on ... Proficiency in statistical programming languages such as R, Python, SAS, or similar, alongside ...

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Intern Python Data Science information

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 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 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 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:

Intern Python Data Science jobs near you

Research Engineer - Prognostics & Applied Data Science

HTC Global Services

Dearborn, MI • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 18 days ago

Job description

Job Title
Research Engineer - Prognostics & Applied Data Science
Overview
We are seeking a Research Engineer with expertise in applied data science, machine learning, and predictive modeling to develop advanced prognostic features for connected vehicle systems. This role focuses on building predictive models, processing large-scale vehicle data, and developing algorithms that support diagnostics, fault detection, and remaining useful life estimation for vehicle components.
This is a hybrid position requiring four days per week onsite.
Key Responsibilities
  • Develop prognostic features from concept through production deployment.
  • Build physics-informed machine learning models that combine first-principles physics with machine learning techniques.
  • Design prognostics and Remaining Useful Life (RUL) models for vehicle subsystems.
  • Convert predictive models into optimized C++ code for embedded vehicle systems.
  • Develop digital signal processing pipelines and time-series analytics for multi-sensor vehicle data.
  • Design and validate fault detection and isolation (FDI) algorithms.
  • Apply statistical methods including causal inference, multivariate analysis, ANOVA, principal component analysis (PCA), clustering, neural networks, and Gaussian regression.
  • Support the complete development lifecycle from modeling and simulation through hardware validation and production deployment.
  • Collaborate with subject matter experts to develop diagnostics and prognostic algorithms for vehicle components and systems.
  • Process and analyze large-scale telemetry data using Python, SQL, Spark, Hadoop, and cloud platforms.
  • Utilize MATLAB, Simulink, and calibration tools to develop and optimize predictive algorithms.
  • Work cross-functionally to support successful implementation of production software.

Required Qualifications
  • Master's degree in Mechanical Engineering, Electrical Engineering, Computer Science, Computer Engineering, Physics, Mathematics, or a related field, or an equivalent combination of education and experience.
  • 4+ years of experience applying statistical methods such as ANOVA, PCA, correspondence analysis, clustering, factor analysis, multivariate analysis, neural networks, causal inference, and Gaussian regression.
  • 3+ years of experience with Python and SQL.
  • Experience with C++ programming.
  • Experience with data science methodologies and cloud-based data platforms.
  • Experience with embedded controls, onboard diagnostics, sensor processing, and physics-based modeling.
  • Experience using numerical modeling and simulation tools such as MATLAB and Simulink.
  • Experience with digital signal processing (DSP), data structures, algorithms, and software engineering principles.
  • Strong analytical, communication, interpersonal, and problem-solving skills.
  • Self-motivated with the ability to work in cross-functional teams.

Preferred Qualifications
  • PhD in Mechanical Engineering, Electrical Engineering, Computer Science, Computer Engineering, Physics, Mathematics, or a related field.
  • Experience in dynamic systems, controls, robotics, or prognostics and health management.
  • Experience developing automotive prognostics using connected vehicle data.
  • Experience applying machine learning methods including time-series forecasting, random forests, clustering, and neural networks.
  • Experience with Python, R, Spark, and Hadoop.
  • Experience developing embedded automotive software using MATLAB and C++.
  • Familiarity with ATI and ETAS calibration tools.
  • Excellent verbal and written communication skills.

What Makes HTC A Great Place To Build Your Future
HTC Global Services wants you to join our team. Come build new things with us and advance your career. At HTC Global, you'll collaborate with experts, work alongside clients, and be part of high-performing teams driving success together. You'll have long-term opportunities to grow your career and develop skills in the latest emerging technologies.
At HTC Global Services, our employees have access to a comprehensive benefits package. Benefits can include Group Health (Medical, Dental, and Vision), Paid Time Off, Paid Holidays, 401(k) matching, Group Life and Disability insurance, Professional Development opportunities, Wellness programs, and a variety of other perks.
Our success as a company is built on inclusion and diversity. HTC Global Services is committed to providing a workplace free from discrimination and harassment, where every employee is treated with dignity and respect. We celebrate differences and believe that diverse cultures, perspectives, and skills drive innovation and success. HTC is an Equal Opportunity Employer and a proud National Minority Supplier. We seek to empower each individual, fostering an environment where everyone feels valued, included, and respected.
#LI-Hybrid #LI-CP1

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