Process Improvement Analyst Intern

## THE PROGRAM Enact’s Internship Program provides an excellent opportunity for students to gain hands-on experience in achieving business results while developing technical and professional skills. The internship program is a critical component of Enact’s talent pipeline as we look to interns to provide cutting edge ideas and skills that will drive business success. Enact invests time, energy, and resources to create a worthwhile experience for interns. Interns work on meaningful business projects, but beyond that, they will network directly with leaders throughout the company (all the way up to the CEO), attend teambuilding events with their internship cohort, connect with the community through volunteer opportunities (both on-site and off-site), and attend professional development workshops. It’s a unique internship experience that helps interns develop a network of peers and mentors who act as a source of constant engagement and guidance during the internship. ## LOCATION Enact Headquarters, Raleigh, NC – Hybrid Schedule ## YOUR RESPONSIBILITIES - Design month-to-month sampling aligned to company statistical methods and implement reproducible cohorts. - Define and curate a “golden dataset” covering happy paths, edge cases, and synthetic augmentation to evaluate consistency and bias. - Stand up continuous monitoring dashboards and alerting, supporting prompt versioning and automated regression testing. - Build a closed-loop improvement process using test findings and underwriter feedback to guide operational playbooks. - Document and communicate test plans, metrics, and release notes to support change management across underwriting. ## YOUR QUALIFICATIONS - Pursuing a Bachelor’s/Master’s in Statistics, Data Science, Computer Science, Operations Research, or related field. - Coursework or projects in experimental design, sampling techniques, and statistical inference. - Hands-on experience with Python/SQL, data wrangling, and metrics design; familiarity with Snowflake or BI tools preferred. - Interest in LLM/GenAI evaluation, prompt management, and MLOps. - Strong communication skills and ability to turn analysis into operational playbooks. ## PREFERRED QUALIFICATIONS - Experience building evaluation harnesses (regression suites, golden datasets). - Exposure to cloud data pipelines and observability/alerting frameworks. - Understanding of document extraction and data validation in financial services.