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Summer Data Science Jobs in Wisconsin (NOW HIRING)

Rural Mutual Insurance

Data Engineer

Madison, WI

$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 ...

Rural Mutual Insurance

Data Engineer

Madison, WI

$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 ...

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Summer Data Science information

Is 30 too late for data science?

Age is not a barrier to entering data science, and many professionals start or transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or bootcamps, regardless of age.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of the results come from 20% of the efforts or features. Data scientists often use this concept to focus on the most impactful variables or tasks to improve model performance efficiently.

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, and why are they important?

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.

Can I get a data scientist job with no experience?

Entry-level data scientist positions often require some knowledge of programming languages like Python or R, and familiarity with data analysis tools and techniques. While prior experience is preferred, candidates with strong analytical skills, relevant coursework, or certifications can sometimes qualify for internships or junior roles to gain practical experience.

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.

Can data scientists make $300k?

Data scientists can earn $300,000 or more annually, especially with extensive experience, advanced skills in machine learning, and work at large tech companies or in high-cost-of-living areas. Senior roles, specialized expertise, and leadership positions are more likely to reach this salary level.
What are the most commonly searched types of Data Science jobs in Wisconsin? The most popular types of Data Science jobs in Wisconsin are:
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What cities in Wisconsin are hiring for Summer Data Science jobs? Cities in Wisconsin with the most Summer Data Science job openings:
Summer Data Science jobs near you

Intern - Actuarial Services/Data Science

SECURA Insurance

Neenah, WI • On-site

Part-time

Posted 6 days ago

Job description

DESCRIPTION:
This position is a 3-month internship for summer 2027. The Actuarial/Data Science Intern will work closely with SECURA's actuarial team to complete work products supporting rate reviews, competitive analyses, modeling, and business reports tailored to meet the needs of our internal customers. This experience will afford the Actuarial/Data Science Intern opportunities to receive valuable Actuarial/Data Science training, gain professional experience in a business setting, and learn first-hand about the role Actuarial Science and Data Science play in the property and casualty insurance industry. This position will be an in-office role located in Neenah, WI.
RESPONSIBILITIES:
  • Assist in preparing support data used in the rate review process for commercial, specialty, agribusiness and farm lines
  • Apply current ratemaking methodologies to develop rate indications
  • Assist in conducting strategic research and peer company analyses using a variety of sources and tools
  • Assist in preparing and analyzing actuarial data on a monthly & quarterly basis, while learning how to identify and communicate key observations and trends
  • Participate in various projects, including analysis supporting business units (commercial, specialty, agribusiness, and farm), planning, reserving, claims, marketing, reinsurance, modeling, etc.
  • Other duties as assigned

QUALIFICATIONS:
ESSENTIAL:
  • Actively pursuing bachelor's degree in actuarial science, Data Science, or other related field
  • Advanced data analysis skills including the ability to operate & design complex Excel spreadsheets
  • Proficient in Word and PowerPoint
  • Efficient, detail-oriented, and service-oriented
  • The ability to simultaneously be focused and flexible, while working successfully both collaboratively and independently
  • Ability to effectively use automation tools to improve the timeliness, accuracy and content of reports, or to support actuarial research
  • Coding experience in Python is a plus, but not required

At SECURA, we are transforming the insurance experience by putting authenticity at the forefront of everything we do. Our mission is clear: we're making insurance genuine. We recognize that our associates are our greatest assets, and we invest in their well-being and professional growth. We offer opportunities for continuous learning and career advancement, competitive benefits, and a culture that champions work-life balance. Joining SECURA means becoming part of a dynamic team that values each individual's contribution and fosters a collaborative atmosphere. Here, you'll not only find a fulfilling career but also a place where you can make a positive impact every day.
SECURA Insurance strives to provide equal opportunity for all employees and is committed to fostering an inclusive work environment. We welcome applicants from all backgrounds and walks of life.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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