Spring Venture Group

About the Company

Founded in 2009, Spring Venture Group is a holding company made up of two direct-to-consumer health insurance brands, United Medicare Advisors and SmartMatch Insurance Agency, LLC.

Powered by analytics, technology and human connection, we have changed the way that the 65+ market shops for insurance through an internally developed comparison shopping technology. Our personalized process eases the burden for our clients and delivers a friendlier and more simple experience.

While we pride ourselves on being experts in sales, technology, and people, we are constantly working to push the limits and pursue change for the better by diving further into data analytics, and developing creative branded marketing.

That's what makes us different.

Recent Awards:
- Inc. Magazine, Inc. 5000
- Ingram's Magazine, Corporate Report 100
- Ingram's Magazine, Best Companies To Work For
- Kansas City Business Journal, A Fast 50 Company
- Kansas City Business Journal, Best Places To Work

Listed Jobs

Company Name

Spring Venture Group

Job Title

Data Science Intern

Job Description

**Job Title:** Data Science Intern **Role Summary:** Short‑term data science internship focused on applying analytical methods to real business data in a Medicare brokerage environment. Interns will work through the complete data science lifecycle—from exploratory analysis to production deployment—supporting cross‑functional business objectives. **Expectations:** - Work independently and collaboratively within a small analytics team. - Deliver actionable insights on customer journeys from acquisition to enrollment. - Maintain high coding quality, debugging, version control, and documentation. - Participate fully in all team meetings, planning sessions, and retrospective reviews. - Demonstrate ownership of assigned tasks, from problem definition to solution delivery. **Key Responsibilities:** 1. Conduct exploratory data analysis (EDA) on production datasets. 2. Visualize findings and craft data stories for stakeholders. 3. Implement machine‑learning or statistical models to optimize customer experience. 4. Convert models into production‑ready pipelines (feature engineering, training, deployment). 5. Collaborate with cross‑functional teams—sales, marketing, operations—on data requirements. 6. Test, validate, and iterate models to improve performance and business value. 7. Document methodology, assumptions, and results for reproducibility. **Required Skills:** - Proficient in Python (pandas, numpy, scikit‑learn, or equivalent). - Strong command of SQL for data extraction and cleaning. - Experience with data visualization tools (Tableau, matplotlib, seaborn, or equivalent). - Solid foundation in statistics, probability, and data storytelling. - Familiarity with cloud services (AWS, GCP, or Azure) and version control (Git). - Ability to write clear, reproducible code and maintain documentation. - Excellent written and verbal communication skills. **Required Education & Certifications:** - Currently enrolled in or recently graduated from a Bachelor’s, Master’s, or PhD program in Computer Science, Data Science, Information Technology, Business Analytics, or a related quantitative field. - Holds or can obtain required U.S. work authorization valid through summer 2026. ---

Kansas city, United states

On site

Fresher

11-03-2026