Data Analytics Internship - Summer 2026

CareScout•Richmond, VA

1d•Hybrid

About The Position

At Genworth, we empower families to navigate the aging journey with confidence. We are compassionate, experienced allies for those navigating care with guidance, products, and services that meet families where they are. Further, we are the spouses, children, siblings, friends, and neighbors of those that need care—and we bring those experiences with us to work in serving our millions of policyholders each day. We apply that same compassion and empathy as we work with each other and our local communities. Genworth values all perspectives, characteristics, and experiences so that employees can bring their full, authentic selves to work to help each other and our company succeed. We celebrate our diversity and understand that being intentional about inclusion is the only way to create a sense of belonging for all associates. We also invest in the vitality of our local communities through grants from the Genworth Foundation, event sponsorships, and employee volunteerism. Our four values guide our strategy, our decisions, and our interactions: Make it human. We care about the people that make up our customers, colleagues, and communities. Make it about others. We do what's best for our customers and collaborate to drive progress. Make it happen. We work with intention toward a common purpose and forge ways forward together. Make it better. We create fulfilling purpose-driven careers by learning from the world and each other. At Genworth and CareScout, we see your data-driven and analytic mindsets and encourage you to apply to our Data Analytics Intern program. Beginning in Summer 2026, our 11-week internship provides students with valuable experience needed for a successful beginning to any data analytics career. Our interns will collaborate with cross-functional teams to extract, analyze, and interpret large data sets that drive business decisions and strategic initiatives. Responsibilities include assisting in the development of dashboards and reporting tools, performing detailed data validation, and supporting the implementation of analytics projects to enhance operational efficiency. This internship offers an excellent opportunity to gain hands-on experience in the insurance and care management sectors while contributing to impactful projects that shape the future of our organizations.

Requirements

Pursuing a Bachelor’s degree in a mathematics, data science, statistics, operations research, or other analytical or technical discipline
Minimum grade point average of 3.2 on a 4.0 scale
Strong analytical ability and verbal/written communication skills to non-technical audiences
Experience with database Rational Database Management System (RDBMS) technologies (e.g., SQL server, Greenplum, Oracle)
Proven leadership and interpersonal skills
A passion for problem solving, intellectual curiosity, and a customer experience mindset
Results-oriented, self-motivated, and the ability to demonstrate a sense of urgency and accountability for business problems

Nice To Haves

Experience with big data technologies (e.g., Databricks, Azure, Hadoop, Spark, Hive)
Experience with data visualization tools (e.g., PowerBI, Spotfire, Tableau, Python)

Responsibilities

Working in a fast-paced, innovative, and change-oriented work environment
Using programming skills to explore, examine and interpret large-scale data in various forms
Determine the appropriate techniques to manipulate complex high-volume data, develop insights through analysis and modelling, evaluate business problems, and improve our analytical speed-to-insight
Perform data mining and analyzing of structured and unstructured data associated with claims, policy, payment activities to solve complex business problems using advanced techniques and leveraging industry cutting-edge technology
Focus on automation and utilizing technology to provide repeatable reporting solutions to promote self-service culture for business partners
Building a strong network of peers and mentors
Attending on-site technical and professional development classes
Presenting accomplishments to leadership across the organization
Participating in sponsored community service events
Assignments may be on teams across the organization all focused on data analytics – including IT, Operations, CareScout Services, and more