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Wellabe

Data Analytics, AI Internship

Wellabe

. Build and evaluate machine learning and deep learning models for real business problems .

Posted 9/17/2026internshipDes Moines • Iowa • United StatesEntry LevelWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Proficiency in Python or R and SQL is essential for building and evaluating machine learning models, while a solid understanding of statistics and core machine learning concepts supports effective analysis and visualization of business data. Strong problem-solving skills and clear communication abilities are crucial for collaborating with teams and explaining technical concepts to non-technical audiences.

Highest-signal resume keywords
Python ProficiencySQL ProficiencyMachine Learning ConceptsData AnalysisVersion Control (Git)

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Machine LearningDeep LearningData VisualizationStatistical AnalysisModel Deployment
Soft Skills
Problem-SolvingAnalytical ThinkingClear CommunicationCuriosityTeam Collaboration
Tools & Technologies
DatabricksAzureAWSGCPMLOps
Industry Keywords
Data ScienceOperations ResearchStatisticsMathematicsInsurance

Tech Stack

Tools & technologies
AWSAzureCloudGoogle Cloud PlatformPythonSQL

About the role

Key responsibilities & impact
  • Build and evaluate machine learning and deep learning models for real business problems
  • Assist with taking models from experimentation into production
  • Use generative AI and large language models to enhance machine learning workflows and performance
  • Analyze and visualize business data to uncover insights that inform decisions
  • Participate in a well-rounded internship program
  • Learn from the Data & Analytics team and gain professional experience
  • Attend internship orientation, regular check-ins, weekly learning sessions, coffee chats, and social events

Requirements

What you’ll need
  • Currently pursuing a Bachelor’s or master's degree in data science, Computer Science, Operations Research, Statistics, Mathematics, or related field
  • Proficiency in Python or R and SQL
  • Understanding of statistics and core machine learning concepts
  • Familiarity with version control, such as Git
  • Interest in developing and deploying models to production
  • Strong problem-solving and analytical thinking
  • Clear written and verbal communication, including explaining technical work to non-technical audiences
  • Curiosity and eagerness to learn
  • Ability to work independently and as part of a team
  • Coursework, projects, or research applying machine learning to real-world problems is nice to have
  • Interest in applying machine learning techniques in insurance is nice to have
  • Experience with Databricks and familiarity with cloud platforms such as Azure, AWS, or GCP, or MLOps practices is nice to have

Benefits

Comp & perks
  • 10-week paid internship
  • Internship orientation
  • Regular check-ins
  • Assigned one-on-one mentors
  • Weekly coffee chats with company leaders
  • Weekly learning sessions
  • Engaging social events throughout the summer
  • Skill development opportunities
  • Real-world professional experience
  • Collaborative work environment
  • Inclusivity, well-being, and development culture