Remote Principal Data Scientist — AI & Predictive Analytics

Sedgwick; Bartlesville (OK); Remote; USD 120,000 - 190,000; Full time

Job summary

Sedgwick is seeking a Principal Data Scientist to lead design and deployment of advanced statistical and ML models across claims, risk, and operations. You will guide modeling strategies, validate approaches, and mentor teams to deliver measurable business impact.

You will collaborate with AI engineering and data-science peers to productionize models, manage pipelines, and ensure governance and interpretability across large enterprise datasets.

Qualifications

• 8–12+ years of experience in data science, statistical modeling, or advanced analytics roles.
• Strong programming skills in Python, R, or similar analytical languages.
• Deep expertise in machine learning algorithms and predictive analytics methodologies.
• Experience designing and implementing end-to-end modeling pipelines.

Responsibilities

• Lead the design and development of advanced statistical and machine learning models that improve claims outcomes, operational efficiency, and risk management.
• Serve as the technical authority for complex modeling initiatives including fraud detection, claims severity prediction, litigation risk modeling, and recovery optimization.
• Develop predictive and prescriptive models using structured and unstructured claims data, including adjuster notes, medical records, and policy documentation.
• Architect modeling approaches that leverage gradient boosting, deep learning, NLP, anomaly detection, and probabilistic modeling.
• Partner with AI Engineering teams to productionize models and integrate them into enterprise AI platforms and operational systems.

Skills

Machine Learning

Python

Data Analysis

Mentoring

Stakeholder Communication

Education

Master's or PhD in Data Science, Statistics, Mathematics, Computer Science, Economics, or related quantitative discipline

Tools

Python

R

Distributed data processing

Job description

Sedgwick is seeking a Principal Data Scientist to lead design and deployment of advanced statistical and ML models across claims, risk, and operations. You will guide modeling strategies, validate approaches, and mentor teams to deliver measurable business impact.

You will collaborate with AI engineering and data-science peers to productionize models, manage pipelines, and ensure governance and interpretability across large enterprise datasets.