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Summer Data Science Jobs in Madison, WI (NOW HIRING)

Data Engineer

Madison, WI ยท On-site

$120K/yr

We prioritize work-life balance, offering flexible start times as well as summer hours for this ... Bachelor's Degree in Computer Science, Data Analytics, Software Engineering, or related field, or ...

Data Engineer

Madison, WI ยท On-site

$120K/yr

We prioritize work-life balance, offering flexible start times as well as summer hours for this ... Bachelor's Degree in Computer Science, Data Analytics, Software Engineering, or related field, or ...

Continuous Improvement Engineer

Watertown, WI ยท On-site

$75K - $100K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Summer Camp Reimbursement - children of employees * Tuition reimbursement * Employee appreciation ... This role leads data-driven initiatives to improve safety, quality, capacity, and cost performance ...

Salesforce Developer

Sun Prairie, WI ยท On-site

$756/wk

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Flexible schedules including ample flexibility in the summer months * Up to 9% towards 401k (3% ... Bachelor's degree in computer science, information systems, business, or related field, or an ...

Flexible schedules including ample flexibility in the summer months * Up to 9% towards 401k (3% ... Bachelor's degree in computer science, information systems, business, or related field, or an ...

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Summer Data Science information

What is the difference between Summer Data Science vs Summer Data Analyst?

AspectSummer Data ScienceSummer Data Analyst
Required CredentialsTypically requires coursework or degree in data science, statistics, or related fieldsOften requires degree or coursework in data analysis, statistics, or business analytics
Work EnvironmentCollaborates with data scientists, engineers, and product teams on complex data projectsWorks with business teams to interpret data, generate reports, and support decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms for advanced data modelingCommon in marketing, retail, finance, and operations for data reporting and insights

Summer Data Science roles focus on developing predictive models and advanced analytics, often requiring stronger technical skills. Summer Data Analysts typically handle data reporting and visualization to support business decisions. Both roles are valuable in data-driven industries but differ in technical depth and project scope.

What are the key skills and qualifications needed to thrive as a Summer Data Science intern?

To excel as a Summer Data Science Intern, you need a solid understanding of statistics, data analysis, and programming languages like Python or R, often supported by coursework or a degree in a quantitative field. Familiarity with tools such as SQL, Jupyter Notebooks, and data visualization platforms, as well as experience with machine learning libraries, is typically expected. Strong problem-solving abilities, curiosity, and effective communication help interns collaborate and present insights clearly. These skills enable interns to contribute meaningful analyses, adapt quickly to new challenges, and add value to data-driven projects in a short timeframe.

What is a Summer Data Science internship?

A Summer Data Science internship is a temporary, often 8-12 week, position for students or recent graduates to gain hands-on experience in data science during the summer months. Interns typically work on real-world projects involving data collection, cleaning, analysis, and visualization, using tools like Python, R, and SQL. These internships provide valuable exposure to industry practices, mentorship from experienced data scientists, and opportunities to develop technical and analytical skills. They are commonly offered by tech companies, finance firms, healthcare organizations, and startups.

What types of projects can I expect to work on as a Summer Data Science intern?

As a Summer Data Science intern, you can typically expect to work on real-world projects involving data cleaning, exploratory data analysis, and building predictive models under the supervision of experienced data scientists. You may be tasked with analyzing large datasets, visualizing findings, and contributing to presentations that inform business decisions. Collaboration is common, so you'll likely work closely with team members from engineering, analytics, and business units to refine project goals and deliver actionable insights. This hands-on experience is designed to help you develop technical skills while understanding how data science impacts organizational objectives.

What are the most commonly searched types of Data Science jobs in Madison, WI?

The most popular types of Data Science jobs in Madison, WI are:

What cities near Madison, WI are hiring for Summer Data Science jobs?

Cities near Madison, WI with the most Summer Data Science job openings:

Data Engineer

Rural Mutual Insurance

Madison, WI โ€ข On-site

$120K/yr

Full-time

Posted 29 days ago


Job description

Rural Mutual Insurance is looking for an experienced and motivated data professional to play a critical role in the design, development, and maintenance of the company’s data warehouse and related data marts. As a Data Engineer, you will be responsible for implementing and optimizing data pipelines, ensuring data quality, and building data models that support analytics and business intelligence initiatives. The ideal candidate will have a deep understanding of data engineering and data modeling principles, with a proven track record of designing, implementing, and maintaining robust and scalable data pipelines and data models on cloud technologies. 

This is a remote position with periodic on-site presence required. Candidates must live and work in Wisconsin and have eligibility to work in the United States without sponsorship. 

If you're ready to be part of a team that values your expertise and encourages your professional growth, apply today!

Rural Mutual, a leading property and casualty insurance company based in Wisconsin, is well known for its financial strength and longevity in the insurance industry. Our reputation in the marketplace ensures stability and opens up numerous growth opportunities for our employees. Committed to our employees and their families, we offer a suite of benefits promoting health and wellness. We prioritize work-life balance, offering flexible start times as well as summer hours for this role. Join our experienced and talented team of IT professionals dedicated to excellence, innovation, and collaboration. 

Compensation:

$105,000 - $120,000 yearly


Responsibilities:
  • Architect, design, and implement scalable data pipelines and integration frameworks that support enterprise analytics, reporting, and data-driven decision-making.

  • Optimize data pipelines and models for performance, scalability, and cost-efficiency.

  • Design and implement dimensional (star schema) data models that accurately represent business processes and support analytical needs.

  • Partner with business stakeholders, analysts, and technical teams to translate complex business requirements into scalable and sustainable data solutions.

  • Implement data validation and quality checks to ensure the integrity and accuracy of the data and subsequent analytics.

  • Monitor and maintain data pipelines and systems, identify issues, and implement solutions to ensure continuity and uptime.

  • Create and maintain comprehensive documentation for data pipelines and models.

  • Evaluate emerging technologies and recommend improvements to the organization's data architecture, engineering and modeling practices.


Qualifications:
  • Bachelor’s Degree in Computer Science, Data Analytics, Software Engineering, or related field, or an equivalent combination of education and experience.

  • Proven experience designing, implementing, and supporting enterprise data warehouse and analytics solutions.

  • Deep expertise designing and optimizing modern data integration and enterprise-scale ETL/ELT solutions using Fivetran and dbt.

  • Strong experience designing and supporting Snowflake-based data warehouse solutions.

  • Strong with SQL and other programming languages. (Python preferred)

  • Experience with version control and code management within a multi-tier code repository.

  • Experience in designing and implementing dimension (star schema) data models

  • Proven ability to translate business requirements into successful data solutions.

  • Experience using Infrastructure as Code tools. (preferred)

  • Experience in the property and casualty insurance industry. (preferred)

  • Candidate must live and work in Wisconsin.

  • Eligible to work in the United States without sponsorship.


About Company

What You'll Love About Rural Mutual Insurance:

We are a leading property and casualty insurance company based in Wisconsin, well known for our financial strength and longevity in the insurance industry. Our reputation in the marketplace ensures stability and opens up numerous growth opportunities for our employees.

We created a welcoming place to work with friendly and professional leadership. We are known for the great care we take with our staff, our agents, and our customers. We are passionate and determined about delivering the best customer service, preserving insurance industry knowledge, and making a difference through the work that we do.

We believe in a healthy work/life balance and, to that end, offer a competitive and comprehensive compensation package including health, dental, life, LTD, and vision insurance as well as an employee bonus plan, matching 401(k) plan, and generous time off benefits. Rural Mutual is an Equal Opportunity employer.