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Internship Insurance Data Analytics Jobs in Mississippi

$35/hr

Support data extraction, cleaning, and analysis of structured and unstructured healthcare data ... the internship * Cumulative 3.0 GPA or above (verified at time of hire) * Must be legally ...

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Internship Insurance Data Analytics information

What is an internship in insurance data analytics?

An Internship in Insurance Data Analytics is a temporary position for students or recent graduates to gain practical experience analyzing data within the insurance industry. Interns typically assist with collecting, interpreting, and presenting data to help insurance companies make informed decisions about risk, pricing, and customer trends. The role often involves using statistical tools, working with large datasets, and supporting data-driven projects. It provides valuable exposure to both the insurance sector and the field of data analytics, helping interns develop technical and professional skills.

What are the key skills and qualifications needed to thrive as an insurance data analytics intern?

To thrive as an Insurance Data Analytics Intern, you need a solid understanding of statistics, data analysis, and basic insurance concepts, often supported by coursework in mathematics, economics, or computer science. Familiarity with tools such as Excel, SQL, Python, and data visualization platforms like Tableau is typically expected. Strong attention to detail, analytical thinking, and effective communication skills help you interpret data and present findings clearly. These skills are crucial for accurately analyzing insurance data, supporting business decisions, and contributing meaningful insights to the team.

What types of projects can I expect to work on during an insurance data analytics internship?

As an Insurance Data Analytics intern, you will typically assist with analyzing large datasets to identify trends, assess risk factors, and support decision-making for underwriting or claims teams. Your daily tasks might include data cleaning, building dashboards, and generating reports using tools like Excel, SQL, or Python. You'll likely collaborate closely with experienced data analysts, actuaries, and other departments to translate data insights into actionable business strategies. These projects offer valuable exposure to industry-standard analytics practices and contribute to real business outcomes.

What are the most commonly searched types of Insurance Data Analytics jobs in Mississippi?

The most popular types of Insurance Data Analytics jobs in Mississippi are:

What are popular job titles related to Internship Insurance Data Analytics jobs in Mississippi?

For Internship Insurance Data Analytics jobs in Mississippi, the most frequently searched job titles are:

What job categories do people searching Internship Insurance Data Analytics jobs in Mississippi look for?

The top searched job categories for Internship Insurance Data Analytics jobs in Mississippi are:

What cities in Mississippi are hiring for Internship Insurance Data Analytics jobs?

Cities in Mississippi with the most Internship Insurance Data Analytics job openings:

Summer 2027 Internship - RWE Data Scientist - Virtual

Stryker

On-site, Remote

$35/hr

Temporary, Internship

Posted 5 days ago


Stryker rating

8.2

Company rating: 8.2 out of 10

Based on 112 frontline employees who took The Breakroom Quiz

136th of 499 rated machine equipment manufacturers


Job description

What You Get Out of the Internship

At Stryker, we believe that developing the next generation of talent is just as important as developing life-changing medical technologies. As an intern, you won’t just observe — you’ll contribute to meaningful projects, gain exposure to leaders who will mentor you, and experience a culture of innovation and teamwork that is shaping the future of healthcare. As an intern, you will:

  • Apply classroom knowledge and gain experience in a fast-paced and growing industry setting
  • Implement new ideas, be constantly challenged, and develop your skills
  • Network with key/high-level stakeholders and leaders of the business
  • Be a part of an innovative team and culture
  • Experience documenting complex processes and presenting them in a clear format

Who We Want

Challengers. People who seek out the hard projects and work to find just the right solutions.

Teammates. Partners who listen to ideas, share thoughts and work together to move the business forward.

Charismatic networkers. Relationship-savvy people who intentionally make connections with both internal partners and external contacts.

Strategic thinkers. Interns who propose innovative ideas and consistently exceed their performance objectives.

Customer-oriented achievers. Individuals with an unparalleled work ethic and customer-focused attitude who bring value to their partnerships.

Game changers. Persistent interns who will stop at nothing to live out Stryker’s mission to make healthcare better.

Opportunities Available

As a Real-World Evidence Data Science intern at Stryker, you will:

  • Work cross functionally with different departments including Clinical Affairs, Health Economics & Outcomes Research (HEOR), Regulatory Affairs, and Marketing to support real-world evidence generation programs
  • Assist in the design and execution of observational studies using claims (e.g., Premier PINC AI, NIS) and other real-world data sources
  • Support data extraction, cleaning, and analysis of structured and unstructured healthcare data, including applying NLP techniques to unstructured billing/clinical data
  • Prepare literature review summaries and evidence syntheses to support publication and regulatory submission efforts
  • Build and refine statistical models (e.g., propensity matching, survival analysis) under the mentorship of the RWE Research team
  • Shadow cross-functional team meetings to gain exposure to how RWE informs regulatory, reimbursement, and commercial strategy

What You Need

Required:

  • Currently pursuing a Master’s degree in Biostatistics, Epidemiology, Health Services Research, Health Economics and Outcomes Research (HEOR), Health/Biomedical Informatics, Data Science, or a related quantitative field; must remain enrolled in a degree-seeking program after the internship
  • Cumulative 3.0 GPA or above (verified at time of hire)
  • Must be legally authorized to work in the U.S. and not require employment-based sponsorship now or in the future
  • Proficiency in SQL and at least one statistical/analytical programming language (Python or R)
  • Coursework or applied project experience with observational/real-world data (claims, EHR, or registry data)
  • Strong written and verbal communication skills, with proven ability to collaborate and build relationships
  • Demonstrated leadership, problem-solving, and organizational skills with the ability to manage multiple priorities
  • Proficiency in Microsoft Office (Excel, Word, PowerPoint) and eagerness to learn in a dynamic environment

Preferred:

  • Prior exposure to claims databases (Medicare, MarketScan, Premier PINC AI, Optum) or EHR data structures
  • Familiarity with causal inference methods (propensity score matching, instrumental variables) and/or survival analysis
  • Experience with NLP applied to unstructured healthcare text
  • Prior coursework, thesis, or practicum work in a medtech, pharma, or payer setting

$20 min hourly wage – $35 max hourly wage, sign-on bonus, 11 paid holidays annually, and either paid corporate housing or a living stipend, dependent upon hiring location

Stryker is a global leader in medical technologies and, together with its customers, is driven to make healthcare better. The company offers innovative products and services in MedSurg, Neurotechnology, Orthopaedics and Spine that help improve patient and healthcare outcomes. Alongside its customers around the world, Stryker impacts more than 150 million patients annually.


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