
Principal Data Scientist - Out of Network Analytics
- Letterkenny, Co Donegal
- Permanent
- Full-time
- Code daily to build and deploy impactful data science solutions, taking full ownership of projects from problem framing and data exploration to model development, deployment, and monitoring—delivering measurable improvements in healthcare cost, quality, and access
- Lead by example as a hands-on technical expert, writing production-grade code and contributing directly to the development of big data systems, pipelines, and tools
- Collaborate closely with business and technical leadership, acting as a strategic thought partner to shape the roadmap for data-driven innovation across provider networks, claims data, and member experience
- Design and implement scalable, real-world machine learning systems, balancing performance, interpretability, and operational constraints in high-stakes healthcare environments
- Drive cross-functional initiatives, using experimentation, and advanced analytics to define success metrics and guide decision-making
- Mentor and elevate the data science team, conducting code reviews, setting technical standards, and fostering a culture of curiosity, rigor, and continuous learning
- Translate complex healthcare data into actionable insights, integrating diverse data sources to build a comprehensive view of network behavior, risk, and opportunity
- Proactively surface emerging risks and opportunities, using anomaly detection, fraud analytics, and pattern recognition to inform strategic interventions
- Contribute to the evolution of data science infrastructure, working with platform teams to enhance tooling for experimentation, model monitoring, and reproducibility
- Represent the data science function in executive forums, clearly communicating technical insights and their strategic implications to influence decisions and investments
- Develop your understanding of healthcare and the U.S. healthcare system, ensuring that solutions are context-aware and impactful
- Bachelor’s Degree in a quantitative field such as mathematics, statistics, computer science, actuarial science, engineering, or related discipline
- Extensive experience in SQL and Python/R with a strong track record of building data science solutions
- Demonstrated ability to solve complex technical problems through hands-on coding and model development
- Experience applying data science to real-world business challenges, driving measurable impact
- Master’s Degree, PhD in a quantitative field or relevant professional qualification
- Strong communication skills, with the ability to explain technical concepts to diverse audiences and influence decision-making
- Leadership in collaborative, cross-functional settings, including mentoring and setting technical direction