Heading
United States
Internship
Remote
Intern
Navitus Health Solutions LLC is a full service, URAC-accredited pharmacy benefit management company. The Summer Intern supports the function of their designated department within Navitus, Lumicera or Epiphany by analyzing data, developing predictive models, and collaborating with teams to drive business insights.
Apply NowResponsibilities
- Mine, organize, and analyze large data sets to improve business decision-making, process efficiency, and strategic initiatives
- Assess new data sources and techniques to ensure data accuracy and drive continuous improvement in data gathering processes
- Develop and refine predictive models and algorithms to optimize customer experiences, enhance revenue generation
- Utilize machine learning techniques to improve data quality, forecast future business outcomes, and drive continuous improvement across functional areas
- Coordinate with cross-functional teams to implement data models and track performance, ensuring successful integration and monitoring of outcomes
- Create tools and processes to consistently evaluate model performance and maintain high levels of data accuracy and integrity
- Develop advanced data visualizations, including charts, graphs, and dashboards, to clearly communicate trends and business forecasts to stakeholders
- Present data-driven recommendations to business leaders, translating complex data insights into actionable strategies for growth and optimization
- Develop FAQs and reference pages for business users to access
- Ensure documentation and applications comply with Navitus style guides and standards
- Collaborate with cross-functional teams on documentation projects
- Recognize, suggest, and assist with process improvements
- Display critical thinking and problem-solving competencies
- Assist with special projects
- Assist with administrative tasks as needed
- Other duties as assigned
Qualification
Required
- Has Bachelor of Science and working towards an advanced degree in Applied Statistics and Predictive Analytics
- Proficient in writing efficient queries using SQL and familiar with noSQL databases for handling large datasets.
- Proficiency in statistical programming languages (e.g., R, Python, PySpark) for manipulating and analyzing large data sets to derive actionable insights.
- Understanding of machine learning techniques (e.g., clustering, decision trees, neural networks) and their practical benefits and limitations in real-world applications.
- Versed in advanced statistical methods (e.g., regression analysis, distribution properties, statistical tests) and experience applying them to solve business problems.
- Experience in statistical and data mining techniques, such as GLM/Regression, Random Forest, Boosting, Trees, text mining, and social network analysis.
- Proven ability to develop and implement machine learning algorithms and statistical models, including regression, simulations, scenario analysis, clustering, and neural networks.
- High school degree or equivalent required
- Must be enrolled in an accredited 2 or 4 year college for the upcoming school year
- Must have at least 1 year of coursework completed
- Must be 18 years or older
- Participate in, adhere to, and support compliance program objectives
- The ability to consistently interact cooperatively and respectfully with other employees
Preferred
- Experience working in Microsoft Office suite, particularly Word, Excel, and PowerPoint preferred
- Preference may be given to candidates with work experience or education paths determined desirable by the department each intern supports