Data Science and Analytics Intern Job at ChaseSource, Austin, TX

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  • ChaseSource
  • Austin, TX

Job Description

Internship

The Employees Retirement System is a Texas government state agency. Our internship program aims to provide a rewarding learning opportunity in mission based work and insights into a career in public service. Our mission is simply stated: ERS offers competitive benefits to enhance the lives of its members.

The Group Benefits Department at ERS supports the administration and financial oversight of benefit programs for state employees and retirees. The team focuses on data accuracy, reporting, and analysis to ensure benefit programs operate effectively and responsibly.

ERS is seeking a Data Science and Analytics Intern to work closely with the Data Science and Analytics team within the Group Benefits Division to gain hands on experience in data reporting, procedure writing, and claims data analysis. This internship provides exposure to the day to day operations of the division and allows the intern to contribute to the overall goals of the organization.

The successful candidate will have the opportunity to work alongside data analysts and subject matter experts on a variety of projects and tasks. Interns will gain valuable experience using reporting tools, databases, and analytical software while building both technical and professional skills in a public sector benefits environment.

Internship responsibilities include, but are not limited to:

  • Assisting with developing and updating data reports and analysis for ERS benefit programs
  • Analyzing claims and premium experience for insurance programs to help assess financial integrity
  • Supporting the development and review of procedures and documentation
  • Reconciling claims data to payments and researching discrepancies for self-funded benefit programs
  • Participating in team meetings, brainstorming sessions, and training opportunities
  • Providing general administrative support for daily operations
  • Learning and adapting to new tools, processes, or systems as project needs evolve
  • Providing regular status updates to the supervisor
  • Identifying opportunities to improve workflow efficiency within the department

Requirements:

  • Active student at an institution of higher learning in Data Analytics, Statistics, Information Systems, Finance, Business, or a related field
  • Strong analytical and problem solving skills
  • Attention to detail and ability to work with large datasets accurately
  • Basic knowledge of Excel and interest in learning additional data tools
  • Ability to work both independently and in a team environment
  • Strong written and verbal communication skills
  • Motivated, reliable, and eager to learn

Pay Information: The hourly pay for this internship is $23.00.

Start Date: 6/8/2026

End Date: 8/14/2026

Other Information: This position may require access to privileged, confidential, or sensitive data. ERS will conduct a FBI criminal history check on all selected intern candidates.

Please Note: The selected candidate will be employed by a temporary staffing agency and will fulfill a part-time (20-30 hours/week) intern assignment at ERS.

ChaseSource is an Equal Opportunity Employer. All applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, genetic information, pregnancy, or any other legally protected status.

By applying for this position, you consent to receive calls, AI-generated calls, text messages, and emails from ChaseSource, its affiliates, and contracted partners regarding job opportunities and related updates. Message frequency may vary. Standard message and data rates may apply. Carriers are not responsible for delayed or undelivered messages. You can opt out at any time by replying STOP or get assistance by replying HELP. For more information, please review our privacy policy at https://chasesource.com/privacy-policy/.

 

Job Tags

Hourly pay, Temporary work, Part time

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