Health Information Data Scientist Intern

The Health Information Data Scientist Intern is a member of the Health Analytics team helping to deliver analysis and work products aimed at improving member health. The intern will have the opportunity to learn directly from experienced Data Scientists as they use various analytical, technical, and visualization tools to solve problems and look for opportunities in the healthcare space. The position will work with data in real world healthcare scenarios to be better prepared for a position in data science.
**Must be able to work onsite in Topeka, KS through December 2023.
** Preferred candidates will reside in Kansas.
Are you ready to make a difference? Choose to work for one of the most trusted companies in Kansas.
Essential Functions
The Health Information Data Scientist Intern will be expected to:

• Analyze data for patterns and develop models, based on statistical approaches and data mining techniques, to provide insights and recommendations for corporate priorities.
• Work with clients to create requested adhoc analysis and reporting of information necessary to support health care management activities.
• Present visually appealing, understandable, and actionable stories, told by data, to all partners, internal stakeholders, and senior management.
• Implement automated reporting solutions.

• Currently enrolled student at a four-year university in an undergraduate or graduate program with an overall grade point average of 3.0 or better.
• Preferred candidates will reside in Kansas.
• The individual's area of study must be related to mathematics, data analytics, computer science, business administration, or related degree.
• 6 credit hours in programming and 6 hours in statistics preferred.
• Experience using SQL is preferred.
• Basic project management skills.
• Effective communication both written and verbal.
• Excellent attention to detail.
• Strong analytical skills, mathematical skills and ability to problem solve.
• Ability to interpret and collate relevant data.
• Ability to collaborate with team members under pressure and embrace feedback.
• Experience with Python or R, Power BI/Tableau/Qlik are preferred.