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Senior Data Scientist

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Remote • 8d ago

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Remote • 4d ago

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Remote or St. Louis, Missouri • 20d ago

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Remote or Bala Cynwyd, Pennsylvania • Today

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Amgen Inc

Remote • 17d ago

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Remote or San Francisco, California • Today

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Energy Data Scientist

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Remote • Today

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Data Scientist (Remote)

Elder Research

Remote or Arlington, Virginia • Today

Full-time

Senior Data Scientist

Booz Allen Hamilton

Remote • Today

Full-time

USD 99,000.00 - 225,000.00 per year

Job Details

Skills

Data Scientist
ML
P&C insurance
policy
claims
NLP
GLM
Python
Databricks
PySpark

Summary

Job Title: Senior Data Scientist

Location: Remote

Role & Responsibilities Overview:

Develop machine learning models for various P&C insurance products related to pricing, customer behavior, retention, price sensitivity, risk segmentation, etc.
Build, enhance, and maintain GLM-based pricing models (frequency, severity, pure premium) for insurance products
Perform model comparison and benchmarking between traditional actuarial models and ML approaches
Design and implement feature engineering pipelines using policy, claims, exposure, and behavioral data
Conduct model validation, performance monitoring, and stability analysis over time
Deploy and operationalize models using Databricks-based workflows
Partner with actuarial, underwriting, and product teams to translate business problems into analytical solutions
Document modeling methodology, assumptions, and results to support model governance and regulatory review

Candidate Profile:

15+ years of experience in P&C insurance analytics, pricing, or actuarial-adjacent data science roles with proficiency in advanced machine learning, NLP, and DL techniques
Hands-on, end-to-end ownership mindset from data preparation to model deployment
Proven ability to work with large, complex insurance datasets with the ability to explain analytical results to non-technical stakeholders
Strong understanding of P&C insurance pricing concepts, customer life cycle, rating variables, and risk segmentation
Bachelor's or master's degree in data science, economics, mathematics, computer science/engineering, operations research, or related analytics areas

Technical skills:

Machine learning algorithms for tabular data (Gradient Boosting, Random Forests, XGBoost, LightGBM, NLP-Unstructured)
GLM modeling expertise (Poisson, Gamma, Tweedie, Logistic)
Python for data analysis and modeling (pandas, numpy, scikit-learn, statsmodels)
Databricks / Spark (PySpark) for large-scale data transformation and feature engineering
SQL for data extraction, transformation, and analytical queries
Model explainability techniques (e.g., SHAP, partial dependence)
Experience with model deployment, scoring pipelines, and performance monitoring

Thanks and regards,

Amit Lakhotia

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: SANS3
Position Id: 9066807
Posted 30+ days ago

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Contact the job poster

Amit Lakhotia

Technical Recruiter @ SANS

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