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Intern Data Science Insurance Jobs in Columbia, SC

Credence

Data Scientist- AFCENT 4.45

Sumter, SC · On-site

Bachelors in Statistics, Mathematics, Computer Science, Machine Learning, or any other related ... Life Insurance (Basic, Voluntary & AD&D) * Paid Time Off (Vacation, Sick & Public Holidays)

IBM

Consultant Intern - SAP 2027

Columbia, SC · On-site

$14 - $18.50/hr

As an IBM intern, you won't just gain experience - you'll start thinking, working, and growing like ... Computer Science, MIS/IT, Computer Engineering, Information Systems, Data Science, Business ...

IBM

Consultant Intern - SAP 2027

Columbia, SC

As an IBM intern, you won't just gain experience - you'll start thinking, working, and growing like ... Computer Science, MIS/IT, Computer Engineering, Information Systems, Data Science, Business ...

IBM

Consultant Intern - SAP 2027

Columbia, SC · On-site

As an IBM intern, you won't just gain experience - you'll start thinking, working, and growing like ... Computer Science, MIS/IT, Computer Engineering, Information Systems, Data Science, Business ...

Pwc

Finance Data, Analytics & AI - Associate

Columbia, SC · On-site

$61K - $100K/yr

... Management/Insurance, Science - Utilizing Business Intelligence and Reporting Tools (BIRT) for data-driven insights - Developing data visualization skills with tools like QlikView and Spotfire ...

Pwc

Data, Analytics & AI - Senior Associate

Columbia, SC · On-site

$77K - $202K/yr

... Insurance, Science - Demonstrating proficiency in data visualization tools like QlikView and Spotfire - Utilizing Python and Java for advanced data analytics projects - Developing business ...

Unum UK

Actuarial Intern (Summer 2027)

Columbia, SC · Hybrid

... insurance industry, develop technical skills, and become a data driven problem solver that ... Program Highlights This internship is designed to provide exposure to actuarial science as an ...

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Intern Data Science Insurance information

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How much do intern data science insurance jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for intern data science insurance in Columbia, SC is $20.82, according to ZipRecruiter salary data. Most workers in this role earn between $16.01 and $22.69 per hour, depending on experience, location, and employer.

What does an intern data science insurance do?

An Intern Data Science Insurance assists data scientists and analysts in the insurance industry by collecting, cleaning, and analyzing data to help solve business problems. Their tasks often include working with large datasets, building predictive models, and creating visualizations to support risk assessment, fraud detection, and pricing strategies. They also collaborate with other departments to understand insurance processes and contribute to the development of data-driven solutions. This role offers hands-on experience with industry tools and methodologies, preparing interns for a career in data science within the insurance sector.

What types of projects can an intern data science expect to work on within the insurance industry?

As a Data Science Intern in the insurance sector, you can expect to work on projects such as analyzing customer data to identify risk factors, developing predictive models for claims, or assisting in the automation of underwriting processes. These projects often involve collaboration with actuarial, underwriting, and IT teams, providing interns with exposure to different facets of the business. You'll likely use tools like Python, R, and SQL while working with real datasets, and your contributions may directly impact decision-making and operational efficiency. This hands-on experience is valuable for understanding the practical applications of data science in a highly regulated and data-driven industry.

What are the key skills and qualifications needed to thrive as an intern data science insurance, and why are they important?

To thrive as an Intern Data Science in Insurance, you need foundational knowledge in statistics, data analysis, and programming (often with Python or R), typically supported by coursework in data science or related fields. Familiarity with data visualization tools (such as Tableau or Power BI), SQL databases, and machine learning libraries is often expected. Strong analytical thinking, attention to detail, and effective communication help you interpret data insights and collaborate with cross-functional teams. These skills are crucial for extracting actionable insights from complex insurance data and supporting data-driven decision-making within the industry.

What are the most commonly searched types of Data Science Insurance jobs in Columbia, SC?

The most popular types of Data Science Insurance jobs in Columbia, SC are:

What are popular job titles related to Intern Data Science Insurance jobs in Columbia, SC?

For Intern Data Science Insurance jobs in Columbia, SC, the most frequently searched job titles are:

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What cities near Columbia, SC are hiring for Intern Data Science Insurance jobs?

Cities near Columbia, SC with the most Intern Data Science Insurance job openings:

Intern Data Science Insurance jobs near you
Infographic showing various Intern Data Science Insurance job openings in Columbia, SC as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 21% Part Time, and 6% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $43,305 per year, or $20.8 per hour.

Data Sciences Director

West Columbia, SC • On-site

Virginia Farm Bureau Mutual
See more jobs at Virginia Farm Bureau Mutualexternal

Full-time

Re-posted 24 days ago

Job description

Essential Functions & Qualifications

Identify actionable business insights hidden within existing reports and datasets. Communicate these insights to Executive Leadership Team to support strategic and operational decisions.

Formulate and investigate new business questions in response to evolving challenges and opportunities. Interrogate data to uncover trends, correlations, and anomalies not previously considered, e.g. surfacing insights that can influence decisions around pricing, risk selection, target marketing, distribution strategy, claims handling, and customer experience.

Work cross-functionally with actuarial teams and management reporting experts to amplify analytical capabilities. Lead collaborative efforts to build unified data narratives that drive clarity and foresight.

Develop new, innovative reporting models that go beyond standard KPIs. Propose fresh reporting structures that illuminate emerging performance drivers or risk indicators.

Translate ambiguous business challenges into structured analyses using internal datasets. Recommend solutions or mitigation strategies based on rigorous data interpretation.

Present findings, insights, and recommendations in a clear, compelling way tailored to executive audiences. Support strategic planning sessions and performance reviews with data-backed perspectives.

5-8 plus years of progressive experience in data science, advanced analytics, or business intelligence required.

Strong working knowledge of P&C insurance operations, underwriting, claims, and financial performance metrics required.Familiarity with actuarial and management reporting processes, able to collaborate fluently across both required.

Proven experience delivering insights that influence business decisions at the executive level required.

Expert-level proficiency in SQL, Python, R, or other data interrogation tools required.

Strong data visualization skills using Tableau, Power BI, or equivalent platforms required.

Exceptional communication and storytelling skills, able to bridge the gap between data complexity and business clarity required.

Familiarity with agentic and generative AI tools to enhance data interrogation, automate insight generation, or prototype analytical frameworks required.

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