Senior Data Scientist – Insurance Risk Analytics

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

Job summary

LexisNexis Risk Solutions seeks a Senior Data Scientist I to join the Auto Insurance Rating Analytics team, defining project scope with managers and executing independently to deliver advanced risk insights and models.

The role emphasizes Python-based development, ML techniques, and strong data manipulation across large datasets, with opportunities to mentor junior staff and collaborate with product teams in a data-driven environment.

Qualifications

• Bachelor’s degree in Mathematics, Statistics, Computer Science, Data Science, or other quantitative discipline (or equivalent years of experience).
• 3+ years demonstrated experience in data manipulation and various AI/ML methodologies, preferably with credit data for insurance or financial services.
• Strong expertise in one or more of the following: R, Python, SQL, or equivalent analytic software.
• Experience manipulating and merging multiple large data sets in a distributed computing environment.
• Solid understanding of ML techniques, including hypothesis testing, sample design, model development (linear and non-linear), and validation of ML models.
• Strong programming skills in Python and/or R, with libraries such as pandas, scikit-learn, NumPy, XGBoost, PyTorch (Python) and rpart, party, caret (R); Scala a plus.
• Ability to learn new technologies (Pyspark, ECL, Azure/AWS ML Services) and share knowledge across teams.

Responsibilities

• Developing, analyzing, and modeling data to quantify competitive performance and design new approaches.
• Analyzing data to recommend solutions to complex problems and quantify impact of changes.
• Applying statistical, mathematical, predictive modeling and business analysis skills to manage high-volume data from multiple sources.
• Lead small project teams and provide informal guidance to junior staff.
• Explain complex information and models, especially in the context of credit-based data sources and GLM techniques.
• Support existing models and collaborate with cross-functional teams.

Skills

Python

R

SQL

Machine learning

Data manipulation

Statistical modeling

Pyspark

Azure/AWS ML Services

Education

Bachelor’s degree in Mathematics, Statistics, Computer Science, Data Science, or other quantitative discipline

Master’s/Ph.D. degree preferred

Tools

pandas

scikit-learn

NumPy

XGBoost

PyTorch

rpart

party

caret

Scala

Job description

LexisNexis Risk Solutions seeks a Senior Data Scientist I to join the Auto Insurance Rating Analytics team, defining project scope with managers and executing independently to deliver advanced risk insights and models.

The role emphasizes Python-based development, ML techniques, and strong data manipulation across large datasets, with opportunities to mentor junior staff and collaborate with product teams in a data-driven environment.