Principal Data Scientist

This is a fully remote position, open to applicants in Idaho, +3 more states.

📋 Description

• Oversee the creation and enhancement of sophisticated statistical and machine learning models aimed at improving claims results, operational efficiency, and risk management.

• Act as the technical expert for intricate modeling projects, including fraud detection, claims severity forecasting, litigation risk assessment, and recovery optimization.

• Create predictive and prescriptive models utilizing both structured and unstructured claims data, encompassing adjuster notes, medical documentation, and policy information.

• Design modeling strategies that incorporate contemporary techniques such as gradient boosting, deep learning, natural language processing (NLP), anomaly detection, and probabilistic modeling.

• Collaborate with AI Engineering teams to implement models and integrate them within enterprise AI platforms and operational systems.

• Develop feature engineering strategies and modeling pipelines utilizing large-scale enterprise datasets.

• Set up best practices for model development, experimentation, validation, and reproducibility.

• Lead the application of advanced analytics techniques such as causal inference, scenario simulation, and risk scoring methodologies.

• Construct and sustain model evaluation frameworks to assess accuracy, bias, stability, and business impact.

• Monitor deployed models for drift, degradation, and shifts in data distributions, and suggest recalibration strategies.

• Offer technical support to data scientists and analysts throughout the organization.

• Guide junior team members on statistical methodologies, machine learning practices, and analytical rigor.

• Convert complex analytical insights into clear, actionable recommendations for business leaders and operational teams.

• Collaborate with Claims Operations, Finance, Risk, and IT stakeholders to pinpoint high-impact analytical opportunities.

• Assess external data sources and third-party analytical solutions that enhance predictive capabilities.

• Ensure analytical methodologies comply with enterprise governance standards and regulatory requirements.

• Contribute to Sedgwick’s broader AI and advanced analytics strategy by identifying emerging technologies and modeling techniques.

• Lead research and innovation projects that enhance Sedgwick’s predictive analytics capabilities.

⛳️ Requirements

• Master’s or PhD in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.

• 8–12+ years of experience in data science, statistical modeling, or advanced analytics positions.

• Profound knowledge of machine learning algorithms, statistical modeling methods, and predictive analytics techniques.

• Strong programming skills in Python, R, or other similar analytical languages.

• Extensive experience handling large, complex datasets within enterprise settings.

• Proven track record in designing and executing end-to-end modeling pipelines.

• Solid understanding of model validation, feature engineering, and performance evaluation methods.

• Experience collaborating with engineering teams to deploy models in production systems.

• Familiarity with distributed data processing tools and modern data platforms is preferred.

• Experience in insurance, claims management, healthcare, or financial services analytics is preferred.

• Ability to communicate advanced analytical concepts to both technical and non-technical audiences.

• Demonstrated capability to lead complex analytical projects that yield measurable business benefits.

• Strong mentoring and technical leadership skills.

🏝️ Benefits

• Work-life balance

• Professional development opportunities