Data Science Intern

Spring Venture GroupKansas City, MO
22h

About The Position

The Data Science department at Spring Venture Group is looking for interns for the summer of 2026. As a medicare brokerage SVG helps seniors navigate the transition from private insurance into Medicare. Our team is the analytics hub for the entire business - doing high-impact work supporting sales, marketing, operations, and more. We use data science to optimize our customers’ journeys from the moment they first see our advertisement until well after they’ve enrolled in a plan. Our interns are aspiring data scientists who will contribute to a project with real business value under the supervision of a senior member of the team. What you’ll bring to the role Familiarity with statistics, visualization, and data storytelling Flexibility and adaptability - comfort working independently and as part of a team Proven technical skills with experience writing and debugging code - especially Python Passion for data and natural curiosity; solving the problem is its own reward Ownership - Data Science at SVG can mean many different things. Sometimes it’s learning something completely new and diving in, meeting new people, and connecting data and intelligence in ways not considered before Undergraduate, recent graduate, or Master’s/PhD candidate in Computer Science or other quantitative field - or practical experience with analytics-adjacent work Work authorization in the US that extends through summer 2026 What you’ll do Solve real business problems with production data following the data science lifecycle from exploratory analysis all the way to production deployment Participate as a full member of the team at all meetings and planning sessions Experience first-hand how Data Science is done in the real world How to stand out Share a completed project - solve an established problem in a new/interesting way, or apply data science to something you’re passionate about Tell us about your academic research that used data science techniques Demonstrate familiarity with a major cloud service provider (AWS, GCP, etc) What you’ll get Mentorship with one or more senior team members Access to the full department including Research, ML Operations, and Applied DS A casual work environment with cool and interesting people Project experience using the full data science toolkit - Python, Tableau, SQL, etc

Requirements

  • Familiarity with statistics, visualization, and data storytelling
  • Flexibility and adaptability - comfort working independently and as part of a team
  • Proven technical skills with experience writing and debugging code - especially Python
  • Passion for data and natural curiosity; solving the problem is its own reward
  • Ownership - Data Science at SVG can mean many different things. Sometimes it’s learning something completely new and diving in, meeting new people, and connecting data and intelligence in ways not considered before
  • Undergraduate, recent graduate, or Master’s/PhD candidate in Computer Science or other quantitative field - or practical experience with analytics-adjacent work
  • Work authorization in the US that extends through summer 2026
  • Currently pursuing a Bachelor’s degree in Information Technology, Data Science, Business Analytics, or a related technical field.
  • Operating in alignment with policies and standards
  • Reporting Security Incidents
  • Completing assigned training
  • Protecting assigned organizational assets

Nice To Haves

  • Share a completed project - solve an established problem in a new/interesting way, or apply data science to something you’re passionate about
  • Tell us about your academic research that used data science techniques
  • Demonstrate familiarity with a major cloud service provider (AWS, GCP, etc)

Responsibilities

  • Solve real business problems with production data following the data science lifecycle from exploratory analysis all the way to production deployment
  • Participate as a full member of the team at all meetings and planning sessions
  • Experience first-hand how Data Science is done in the real world

Benefits

  • Mentorship with one or more senior team members
  • Access to the full department including Research, ML Operations, and Applied DS
  • A casual work environment with cool and interesting people
  • Project experience using the full data science toolkit - Python, Tableau, SQL, etc
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