Principal Data Scientist - Remote AI Leadership

Sedgwick

Lincoln (NE)

Remote

USD 150,000 - 210,000

Full time

14 days+
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Job summary

Sedgwick is seeking a Principal Data Scientist to design and deploy advanced statistical and machine learning models across our claims analytics ecosystem. You will drive end-to-end modeling from data wrangling to deployment, partnering with IT, Risk and Claims teams to maximize business value.

The role requires 8–12+ years in data science, strong Python/R skills, and proven leadership. Remote-friendly across the US, with a focus on scalable, governance-aligned analytics solutions.

Qualifications

  • Master’s or PhD in a quantitative field required.
  • 8–12+ years in data science or analytics roles.
  • Experience deploying models into production systems.
  • Strong programming in Python or R.
  • Excellent communication with technical and non-technical stakeholders.

Responsibilities

  • Lead design and development of advanced statistical and ML models to improve outcomes.
  • Serve as technical authority for modeling initiatives (fraud, severity, risk).
  • Develop predictive and prescriptive models from claims data.
  • Productionize models with AI engineering teams.
  • Establish model evaluation and drift monitoring frameworks.
  • Mentor data scientists and analysts.
  • Translate findings for business leaders.

Skills

Machine learning
Statistical modeling
Python
R
Leadership
Mentoring

Education

Master’s or PhD in Data Science or related field
Quantitative discipline emphasis

Tools

Distributed data processing tools
Python libraries

Job description

Sedgwick is seeking a Principal Data Scientist to design and deploy advanced statistical and machine learning models across our claims analytics ecosystem. You will drive end-to-end modeling from data wrangling to deployment, partnering with IT, Risk and Claims teams to maximize business value.

The role requires 8–12+ years in data science, strong Python/R skills, and proven leadership. Remote-friendly across the US, with a focus on scalable, governance-aligned analytics solutions.

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