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Remote Computer Science Internship Jobs in Michigan

Ford Motor Company

Data Scientist

Dearborn, MI · Remote

Bachelor's degree in Data Science, Engineering, Mathematics, Computer Science, Operations Research ... Benefit Summary This role is remote but if you live within 50 miles within Dearborn, MI, you will ...

Relativity

Principal Applied Scientist

Detroit, MI · On-site +1

Posting Type Remote/Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... D. in Computer Science, Statistics, Applied Mathematics, or a related quantitative discipline, or ...

Broughton Group

Product Owner (Remote)

Lansing, MI · Remote

$150K - $170K/yr

United States Suitability/Public Trust Fully remote Information Technology Overview GovCIO is ... Qualifications Required Skills and Experience Bachelor's Degree in Engineering, Computer Science ...

New

OpTech

Application Developer

Detroit, MI · Remote

Application Developer (W-2 Contract - No Agency candidates will be considered) 100% remote ... Master degree preferred in a related field such Computer Science or Business Systems

Eliassen Group

.NET Backend Engineer

Lansing, MI · Remote

Remote Reference ID: JN -032026-106153 Date Posted: 03/25/2026 Rate: $82.00 to $75.00/hr. w2 Remote ... Bachelors degree in computer science Eliassen Group is an Equal Opportunity/Affirmative Action ...

DataAnnotation

Quantitative Strategist

Lansing, MI · On-site +1

$60/hr

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ... A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics ...

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How much do remote computer science internship jobs pay per hour?

As of May 29, 2026, the average hourly pay for remote computer science internship in Michigan is $26.23, according to ZipRecruiter salary data. Most workers in this role earn between $11.40 and $31.66 per hour, depending on experience, location, and employer.

What is a Remote Computer Science Internship job?

A Remote Computer Science Internship is a temporary, virtual position where students or aspiring professionals gain hands-on experience in computer science fields such as software development, data analysis, cybersecurity, or AI. Interns work on real-world projects, collaborate with teams, and develop technical and problem-solving skills—all from a remote location. These internships provide valuable exposure to industry tools, programming languages, and professional workflows, enhancing career prospects.

What are the key skills and qualifications needed to thrive in the Remote Computer Science Internship position, and why are they important?

To thrive as a Remote Computer Science Intern, you should possess a solid understanding of programming languages such as Python, Java, or C++, strong problem-solving abilities, and be actively pursuing or holding a degree in computer science or a related field. Familiarity with version control systems like Git, basic knowledge of software development tools, and exposure to collaborative platforms such as GitHub or Jira are highly valued. Excellent communication, self-motivation, and time management skills enable you to work effectively in a remote environment and stay connected with your team. These competencies are essential for successfully contributing to real-world projects, adapting to remote workflows, and developing professionally during the internship.

What kind of support and mentorship can I expect during a Remote Computer Science Internship?

Remote Computer Science Interns typically receive regular guidance from designated mentors or team leads through scheduled video calls, chat channels, and collaborative online tools. You'll have access to code reviews, feedback sessions, and opportunities to participate in virtual team meetings, allowing you to learn from experienced professionals and ask questions in real-time. Many organizations also provide onboarding resources, documentation, and community forums to help new interns integrate smoothly. This supportive environment ensures you can develop your skills, overcome remote work challenges, and make meaningful contributions during your internship.
More about Remote Computer Science Internship jobs
What are the most commonly searched types of Remote Computer Science jobs in Michigan? The most popular types of Remote Computer Science jobs in Michigan are:
What are popular job titles related to Remote Computer Science Internship jobs in Michigan? For Remote Computer Science Internship jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Remote Computer Science Internship jobs in Michigan look for? The top searched job categories for Remote Computer Science Internship jobs in Michigan are:
What cities in Michigan are hiring for Remote Computer Science Internship jobs? Cities in Michigan with the most Remote Computer Science Internship job openings:
Remote Computer Science Internship jobs near you
Infographic showing various Remote Computer Science Internship job openings in Michigan as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $54,554 per year, or $26.2 per hour.

Principal Data Scientist (Remote)

Accident Fund Holdings, Inc.

Lansing, MI • On-site, Remote

Full-time

Posted 10 days ago

Job description

Job Description
SUMMARY:
The Principal Data Scientist is a highly experienced individual contributor who serves as a technical authority in applying advanced analytics and machine learning to complex P&C insurance problems, including underwriting, pricing, and risk selection. This role owns the end-to-end analytical lifecycle, from problem formulation and model development through deployment, monitoring, and governance. Partners closely with Actuarial, MLOps, and IT to deliver scalable, production-ready solutions. The Principal Data Scientist ensures long-term model performance through rigorous validation, drift monitoring, and audit-ready documentation, while advancing analytical best practices and evaluating emerging techniques relevant to commercial P&C insurance.
RESPONSIBILITIES/TASKS:
  • Acquires, organizes, and cleanses structured and unstructured data.
  • Conducts in-depth analysis to uncover trends, risks, and business opportunities.
  • Applies statistical modeling, machine learning, and advanced analytics to develop predictive and prescriptive solutions.
  • Evaluate solution performance using statistically rigorous methods and measure the impact to business outcomes.
  • Collaborate with MLOps and IT partners to transition solution prototypes from pilot validation into production environments.
  • Ensures ongoing model health through post-deployment monitoring, drift detection, and audit-compliant governance practices.
  • Creates and communicates results to senior level audiences of varying backgrounds, using business-facing presentations, reports, and dashboards.
  • Author and maintain comprehensive technical documentation for data lineage, codebases, results, and production changes.
  • Provides technical and project guidance, including peer review of work, for data science team.
  • Leads the evaluation of new analytic tools and processes.
  • Drives investigation and adoption of advanced machine learning and AI innovations.

EDUCATION:
Bachelor's Degree in Data Science, Statistics, Mathematics, Operations Research, Actuarial Science, Computer Science, Engineering, Physics or related technical field required. Advanced degree preferred.
EXPERIENCE:
10 years of experience in data science or related advanced analytics domains, including research and teaching, with 3+ years of technical leadership.
REQUIRED SKILLS/KNOWLEDGE/ABILITIES:
  • Broad experience supporting underwriting functions within multi-line commercial P&C insurance settings, including 3+ years of loss modeling for General Liability (aka Casualty) or Commercial Property.
  • Demonstrated expertise using Poisson, Gamma, and Tweedie distributions to build loss ratio, pure premium, and frequency-severity loss models for pricing.
  • Extensive experience leveraging supervised learning models (e.g., XGBoost, GLM, etc.) and unsupervised techniques (e.g., K-means clustering) to solve complex data science problems.
  • Advanced Python programming skills, including scikit-learn, and proficient ETL abilities using SQL.
  • Comfortable explaining machine learning models with partial dependence plots and SHAP values.
  • Ability to conduct experiments e.g., A/B Testing, to evaluate the causal impact of model-driven decisions.
  • Experience using version control tools such as Git and Azure DevOps.
  • Experience working in cloud computing environments such as Azure, AWS, GCP, etc.
  • Experience developing Agentic AI solutions to enable autonomous decision-making and task orchestration.

PREFERRED SKILLS/KNOWLEDGE/ABILITIES:
  • In-depth understanding of Workers Compensation or Commercial Vehicle insurance.
  • Experience supporting Claims, Marketing, or Operations functions within P&C insurance settings.
  • Knowledge of actuarial concepts and terminology used in pricing and ratemaking.
  • Experience supporting both admitted and non-admitted commercial P&C lines.
  • Understanding of NLP concepts such as topic modeling, Word2Vec, sentiment analysis, OCR, etc.
  • Knowledge of advanced neural net architectures like LSTM, CNN, Transformers, Graph NN, etc.
  • Experience with causal modeling techniques such as Meta-learners, Causal Forest, Double ML, etc.
  • Experience programming in the R language.
  • Ability to build interactive dashboards using frameworks such as Plotly Dash, Power BI, Flask, etc.
  • Experience applying deep learning frameworks such as PyTorch, Tensorflow, Keras, etc.

ADDITIONAL INFORMATION:
The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel so classified. This job description does not constitute a contract for employment.
PAY RANGE:
"Actual compensation decision relies on the consideration of internal equity, candidate's skills and professional experience, geographic location, market and other potential factors. It is not standard practice for an offer to be at or near the top of the range, and therefore a reasonable estimate for this role is between $137,900 and $231,000."
We are an Equal Opportunity Employer. We will not tolerate discrimination or harassment in any form. Candidates for the position stated above are hired on an "at will" basis. Nothing herein is intended to create a contract.
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