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Intern Data Scientist Machine Learning Jobs in Madison, WI

Varsity Tutors

Machine Learning Tutor

Madison, WI · Remote

$18 - $40/hr

... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

US Department of Commerce

Data Scientist

Madison, WI · On-site

$147K/yr

Mathematics, statistics, computer science, data science or field directly related to the position ... Designing or implementing artificial intelligence and machine learning models to analyze or ...

Varsity Tutors

Data Science Tutor

Madison, WI · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Insperity

Artificial Intelligence Engineer III

Madison, WI · On-site

$58 - $77.75/hr

This role applies advanced software, data science, machine learning, and LLM engineering expertise to build AI powered applications, model driven solutions, and intelligently automated workflows. The ...

Insperity

Artificial Intelligence Engineer III

Madison, WI · On-site

$58 - $77.75/hr

This role applies advanced software, data science, machine learning, and LLM engineering expertise to build AI powered applications, model driven solutions, and intelligently automated workflows. The ...

Insperity

Artificial Intelligence Engineer III

Madison, WI · On-site

$58 - $77.75/hr

This role applies advanced software, data science, machine learning, and LLM engineering expertise to build AI powered applications, model driven solutions, and intelligently automated workflows. The ...

Bespoke Labs

Machine Learning Engineer

Madison, WI · On-site

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

Bespoke Labs

Machine Learning Engineer

Madison, WI

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

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Showing results 21-40

All JobsIntern Data Scientist Machine Learning JobsIntern Data Scientist Machine Learning Jobs in Madison, WI

Intern Data Scientist Machine Learning information

See Madison, WI salary details

$25.7K

$42.9K

$88.7K

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

As of Aug 6, 2026, the average yearly pay for intern data scientist machine learning in Madison, WI is $42,908.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,700.00 and $46,400.00 per year, depending on experience, location, and employer.

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 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 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 Madison, WI? The most popular types of Data Scientist Machine Learning jobs in Madison, WI are:
What are popular job titles related to Intern Data Scientist Machine Learning jobs in Madison, WI? For Intern Data Scientist Machine Learning jobs in Madison, WI, the most frequently searched job titles are:
What job categories do people searching Intern Data Scientist Machine Learning jobs in Madison, WI look for? The top searched job categories for Intern Data Scientist Machine Learning jobs in Madison, WI are:
Intern Data Scientist Machine Learning jobs near you
Infographic showing various Intern Data Scientist Machine Learning job openings in Madison, WI as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $42,908 per year, or $20.6 per hour.

Data Scientist

State of Wisconsin Investment Board

Madison, WI

Full-time

Re-posted 4 days ago

Job description

Sophisticated Work. In a Great City. Making a Difference.

The State of Wisconsin Investment Board (SWIB) manages more than $178 billion in assets, including those of the fully-funded Wisconsin Retirement System (WRS). SWIB operates at a level more often seen in top-tier global asset managers than in typical public pension funds. SWIB is a home for top talent. Approximately 61 percent of SWIB's investment professionals are Chartered Financial Analyst (CFA) charterholders.
The City of Madison, the state capitol and home of Wisconsin's flagship university, makes regular appearances on lists of best places to live, eat, and play. SWIB offers a modern workspace, hybrid work options, and competitive compensation and benefits.


Serving over 703,000 WRS beneficiaries, SWIB is driven by a clear mission: securing the financial future of those who serve Wisconsin. When you work at SWIB, you know your work matters.

Job Description:

About the Team

Data Services & Engineering Teams at SWIBsupports, implements & develops industry-leading systems and platforms to support SWIB's diverse and complex set of investment portfolios and strategies. The team at SWIB strives to be a trusted advisor and partner to the business that is valued as a critical contributor to SWIB's continued growth and success. We effectivelyleveragetechnology to derive the maximum value from it and achieve SWIB's business goals. We keep technology aligned with SWIB's future direction and operate SWIB's technology according to industry standards.

Position Overview

Essential activities:

  • Lead the design, development, validation, and deployment of advanced analytics, AI,and machine learning solutions that enable data-driven investment decision-making.

  • Own the technical approach for analytics products end-to-end: problem framing, data requirements, modeling, evaluation, deployment, monitoring, and ongoing iteration.

  • Architect and deploy solutions using GitLab (merge requests, CI/CD pipelines, automated testing, release management) and Terraform (infrastructure as code),establishingstrong engineering practices and reproducibility.

  • Design, evaluate, and deploy AI-enabled analytical solutions measuring output quality, detecting hallucinations, and ensuring reliability for decision-making.

  • Implement data quality,validation, and AI evaluationframeworks;define reliability metrics, testing protocols, andmonitoring controls ensuringoutputs areaccurate, traceable,andexplainable.

  • Design and develop analyticsapplications and internal tools, includinglightweightfront-end interfaces(Power BI,Streamlit,React,orsimilar tools) to communicate findings and drive adoption;apply UI/UX principles ensuring usability, clarity, and intuitive workflows;craft clear narratives about assumptions, limitations, and implications.

  • Deploy analytics solutions in cloud environments (Azure or AWS), partnering with engineering/security to ensure secure, scalable, cost-aware deployments.

  • Utilize data warehousing technologies (e.g., Snowflake) to support analytics initiatives; collaborate on data modeling and performant query patterns.

  • Communicate complex concepts clearly to technical and non-technical stakeholders; translate investment needs into analyticalroadmapsand measurable outcomes.

  • Serve as a liaison across investment teams and partner functions (IT, Operations, Legal, HR, Strategic Planning, etc.) to support change management and adoption of analytics solutions.

  • Act as a senior team contributor: provide design input, conduct code and analysis reviews, share patterns and best practices, and coach junior staff through pairing, feedback, and knowledge sharing.

The ideal candidate:

  • Bachelor's degreerequired; advanced degree preferred in finance, business, engineering, computer science, computational economics, math, data science, or related discipline.

  • Experience in investment management, quantitative finance, and technology; progress toward or completion of the CFA designation is preferred.

  • 5+ years of experience in data science, analytics, quantitative research, or similar roles.

  • 2+ years of experiencedesigningand deployingAI-enabled analyticalsolutions measuring output quality, detectinghallucinations, and ensuringreliability for decision-making.

  • Strongproficiencyin Python and SQL for advanced analytics, data engineering, and model development in production contexts.

  • Proven experience deploying and operating production code using GitLab, including CI/CD, merge request workflows, automated testing, and release management.

  • Experience using Terraform to provision and manage cloud infrastructure as code.

  • Experience building and deploying ML models using modern techniques (regression, classification, clustering, time series/forecasting) with strong evaluation practices and sound statistical reasoning.

  • Experience implementing data quality frameworks, validation controls, and reliability metrics/processes for analytical outputs and reports.

  • Strong experience with cloud platforms (Azure or AWS) for data storage/processing and deploying analytics solutions; familiarity with security and operational considerations.

  • Experience with data warehousing platforms (e.g., Snowflake) to support scalable analytics initiatives.

  • Excellent communication skills with the ability to influence decisions through clear storytelling and stakeholder partnership.

  • Demonstrated ability to collaborate effectively, coach junior staff, and elevate team standards through reviews, reusable patterns, and documentation.

  • Strong workethic, attention to detail, and commitment to disciplined delivery (documentation, Jira ticketing, and best practices).

SWIB Offers:
  • Competitive total cash compensation, based on AON (formerly McLagan) industry benchmarks
  • Comprehensive benefits package
  • Educational and training opportunities
  • Tuition reimbursement
  • Challenging work in a professional environment
  • Hybrid work environment
The position requires U.S. work authorization.
Pursuant to our Hybrid Remote Work Policy, all staff have the flexibility to work remotely, but are required to have a weekly presence in our offices, the frequency of which is dependent on their distance from office. Staff are not required to reside locally; however, we offer relocation reimbursement to the Dane County area per our policy.
All SWIB employees are subject to SWIB's Ethics Policy and Personal Trade Approvals Policy. These policies include restrictions on outside business activities and employment and have limits on personal trading. You may request copies of these policies from SWIB's talent acquisition team and any questions can be answered by SWIB's compliance team.

Apply