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Senior Data Scientist

SANS

Remote • Today

Easy Apply

Full-time

Depends on Experience

Senior Data Scientist

Cleveland Clinic

Remote or Cleveland, Ohio • Today

Full-time

Senior Data Scientist

Vanta

Remote • Today

Full-time

USD 172,000.00 - 202,000.00 per year

Senior Data Scientist

Booz Allen Hamilton

Remote • Today

Full-time

USD 99,000.00 - 225,000.00 per year

Senior Data Scientist

Angi

Remote • Today

Full-time

USD 185,000.00 - 240,000.00 per year

Senior Data Scientist

Quantiphi Inc.

Remote • Today

Full-time

Senior Data Scientist, Customer Analytics

Autodesk Inc.

Remote or Oregon • Today

Full-time

USD 112,000.00 - 200,860.00 per year

Senior Data Scientist, Customer Conversion

Carmax, Inc.

Richmond, Virginia • Today

Full-time

USD 106,000.00 - 159,000.00 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

Fitment

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Amit Lakhotia

Technical Recruiter @ SANS

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As a team member in Finance at Nationwide, a Fortune 100 company with nearly $70 billion in annual sales, the opportunities are endless! Let Nationwide help create your career journey! At Nationwide , "on your side" goes beyond just words. Our customers are at the center of everything we do and we're looking for associates who are passionate about delivering extraordinary care. Nationwide's Commercial Lines team is hiring a Predictive Modeler / Pricing Modeler to help shape sophisticated insuran

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Assistant Vice President of Business Analytics & AI Summary Statement Enterprise business leader responsible for execution and delivery of the enterprise data, analytics, and AI strategy in partnership with the CIDO and business leaders. Drives measurable business outcomes, builds data- and AI- culture, and governs data and AI for trusted reusable products. This role leads analytics products, data engineering, data governance, and enterprise AI execution including AI portfolio management and AI

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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

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

Fitment

Dice Job Match Score™

To see how well you match this job, please log in or create an account.

Once logged in, be sure to complete your profile to get the most accurate match score.

Contact the job poster

Amit Lakhotia

Technical Recruiter @ SANS

View Profile

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

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