Data Scientist

• Collaborate with partners across operations, marketing, products/customer experience, pricing, risk, and other functions to define problems and deliver analytic solutions.
• Research business processes and proactively identify opportunities for analytics, modeling, and decision automation.
• Design, build, validate, and evolve supervised and unsupervised machine learning models using established methodologies such as Logistic Regression, Random Forests, Gradient Boosting, and Support Vector Machines.
• Advance customer behavioral segmentation and predictive models to support business strategy and execution.
• Design and implement advanced analytics and forecasting models, ensuring robustness, interpretability, and business relevance.
• Perform recurring reporting and build dashboards (Tableau) to enable insight-driven decision making.
• Partner with IT and Enterprise Data Management teams to ensure scalable, reliable, and governed analytics solutions.
• Contribute to identifying, evaluating, and responsibly applying Generative AI opportunities across analytics use cases.
• Mentor peers and support ad-hoc analytic requests as needed.

• Bachelor's degree required.
• 6+ years of experience in data science, advanced analytics, or business analytics.
• Strong background in statistical modeling and machine learning, with hands-on experience applying common algorithms in production or business environments.
• Experience with Python, Spark, SQL, and cloud platforms (AWS).
• BI and dashboarding experience (Tableau preferred).
• Strong Generative AI knowledge and demonstrated interest, including awareness of model capabilities, limitations, and responsible use considerations.
• Strong communication skills with the ability to translate analytical results into clear, actionable insights for business partners.
• Demonstrated ability to influence stakeholders and collaborate effectively across functions., * Master's or PhD in a quantitative field.
• Experience modernizing analytics platforms or data science workflows.
• Preferred experience with Snowflake.
• Knowledge of time-series forecasting methods (e.g., ARIMA, LSTM) to business problems.
• Experience designing and implementing end-to-end analytic processes, including MLOps and version control.
• Ability to translate business problems into technical frameworks and convert model outputs into actionable insights.

• We seek out and incorporate diverse views to strengthen our outcomes
• We work on challenging and rewarding projects
• We offer competitive benefits:

• Hybrid work schedule (in-office days Tues/Wed/Thurs)
• Generous Time Off
• 40 Hours of Volunteer Time Off
• Tuition Reimbursement and Student Loan Repayment
• Paid Family Leave and Flexible Spending Accounts
• 401k with up to 5% employer match
• Fitness and Emotional Wellness Reimbursements
• Onsite Gym

At Enact, we understand that there's no place like home. That's why we bring our deep expertise, insightful offerings, and extra mile service to work every day to help lenders put more people in homes and keep them there., Enact Holdings, Inc. (Nasdaq: ACT), operating primarily through its wholly owned subsidiaries, is a leading publicly traded U.S. private mortgage insurance provider, offering borrower-centric products that enable lenders and other partners across the U.S. to help people responsibly achieve and maintain the dream of homeownership. By empowering customers and their borrowers, Enact seeks to positively impact the lives of those in the communities in which it serves in a sustainable way. Headquartered in Raleigh, North Carolina, we play an active role in supporting a prosperous Triangle community. We also support our colleagues' philanthropic efforts in their home communities across the U.S. Enact values all perspectives, characteristics and experiences, along with providing a positive and inclusive culture for employees to grow and succeed. We strive to create an environment where employees can bring their full, authentic selves to work to help each other and their customers.