Senior Data Scientist - Insurance Risk Analytics & ML

Brightmine; Alpharetta (GA); On-site; USD 95,000 - 159,000; Full time

Job summary

LexisNexis Risk Solutions in Alpharetta, GA is seeking a Senior Data Scientist I to drive data-driven risk decisions. You will lead model development, analyze large-scale data, and collaborate with product teams to deliver innovative auto insurance analytics solutions.

The role requires strong statistics, ML expertise, and proficiency in Python (and/or R). Cloud experience preferred. Eligibility for a performance bonus is noted.

Qualifications

• Bachelor’s degree in Mathematics, Statistics, Computer Science, Data Science or equivalent.
• 3+ years with data manipulation and AI/ML methodologies.
• Strong programming in Python and/or R with ML packages.

Responsibilities

• Develop, analyze, and model data to quantify performance and design methodologies.
• Analyze data to propose solutions and strategies; quantify impact of changes.
• Apply statistical, mathematical, predictive modeling and business analysis skills to large data.
• Collaborate with cross-functional teams to deliver innovative insurance risk solutions.

Skills

Python

R

SQL

ML techniques

GLM

scikit-learn

Pandas

Education

Bachelor’s degree in Mathematics, Statistics, Computer Science, Data Science

Master’s/Ph.D. degree preferred

Tools

Pandas

scikit-learn

NumPy

XGBoost

PyTorch

R caret

Job description

LexisNexis Risk Solutions in Alpharetta, GA is seeking a Senior Data Scientist I to drive data-driven risk decisions. You will lead model development, analyze large-scale data, and collaborate with product teams to deliver innovative auto insurance analytics solutions.

The role requires strong statistics, ML expertise, and proficiency in Python (and/or R). Cloud experience preferred. Eligibility for a performance bonus is noted.