Skip to main content
Loading
loadingbar
Loading, Please wait..!!

Senior Data Scientist – Claims & Risk Analytics

  • Job type Posted on: Jul 19, 2026
  • Experience level Sedgwick
  • Employment type Detroit, Michigan
  • Employment type Onsite
  • Salary Full-time

Point Apply Here APPLY LATER

Curious about compensation?

Explore the historical salary trends, average pay, and estimated compensation for Senior Data Scientist – Claims & Risk Analytics roles in Michigan.

View Salary Guide →

Job Title :

Senior Data Scientist – Claims & Risk Analytics

Job Type :

Full-time

Job Location :

Detroit Michigan United States

Remote :

No

Jobcon Logo Job Description :

Sedgwick seeks a Principal Data Scientist to lead the design and development of statistical and machine learning models focusing on claims outcomes. This role requires a Master’s or PhD and 8–12+ years of experience in data science or advanced analytics. The successful candidate will mentor junior team members, ensure models meet enterprise standards, and translate complex findings into actionable insights. Candidates should possess strong skills in Python or R and deep expertise in machine learning algorithms, with knowledge of insurance or healthcare analytics preferred. #J-18808-Ljbffr

Jobcon Logo Position Details

Posted:

Jul 19, 2026

Reference Number:

14660_4881C2AE3BB4DAFC9B916236B10E01B6

Employment:

Full-time

Salary:

Not Available

City:

Detroit

Job Origin:

APPCAST_CPC

Share this job:

  • linkedin

Jobcon Logo
A job sourcing event
In Dallas Fort Worth
Aug 19, 2017 9am-6pm
All job seekers welcome!

Senior Data Scientist – Claims & Risk Analytics    Apply

Click on the below icons to share this job to Linkedin, Twitter!

Sedgwick seeks a Principal Data Scientist to lead the design and development of statistical and machine learning models focusing on claims outcomes. This role requires a Master’s or PhD and 8–12+ years of experience in data science or advanced analytics. The successful candidate will mentor junior team members, ensure models meet enterprise standards, and translate complex findings into actionable insights. Candidates should possess strong skills in Python or R and deep expertise in machine learning algorithms, with knowledge of insurance or healthcare analytics preferred. #J-18808-Ljbffr

Loading
Please wait..!!