Senior Data Scientist - Remote AI & Risk Modeling Lead

Sedgwick; Tennessee; Remote; USD 140,000 - 210,000; Full time

Job summary

Sedgwick is seeking a Principal Data Scientist to lead advanced statistical and machine learning initiatives across claims, risk, and operational domains. You will guide end-to-end modeling pipelines, mentor analysts, and partner with AI Engineering to deploy models into enterprise platforms.

The role demands deep ML expertise, strong communication with technical and non-technical stakeholders, and a track record of delivering measurable business value in complex environments.

Qualifications

• Advanced degree in a quantitative field required (Master’s/PhD).
• Proven track record in data science, ML, and analytics.
• Experience delivering end-to-end modeling pipelines and productionization.

Responsibilities

• Lead design and development of advanced statistical and ML models to improve outcomes and efficiency.
• Serve as technical authority for complex modeling initiatives including fraud detection and risk modeling.
• Collaborate with engineering teams to productionize models in AI platforms and systems.
• Design feature engineering strategies and modeling pipelines for large-scale datasets.
• Mentor junior team members and translate analytics into actionable business insights.

Skills

Machine learning

Statistical modeling

Predictive analytics

Python

R

Feature engineering

Model validation

Production deployment

Mentoring

Data science leadership

Education

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

Tools

Python

R

Distributed data processing tools

Modern data platforms

Job description

Sedgwick is seeking a Principal Data Scientist to lead advanced statistical and machine learning initiatives across claims, risk, and operational domains. You will guide end-to-end modeling pipelines, mentor analysts, and partner with AI Engineering to deploy models into enterprise platforms.

The role demands deep ML expertise, strong communication with technical and non-technical stakeholders, and a track record of delivering measurable business value in complex environments.