Senior Data Scientist

EXL (NASDAQ:EXLS) is a leading operations management and analytics company that helps businesses enhance growth and profitability in the face of relentless competition and continuous disruption. Using our proprietary, award-winning Business EXLerator Framework™, which integrates analytics, automation, benchmarking, BPO, consulting, industry best practices and technology platforms, we look deeper to help companies improve global operations, enhance data-driven insights, increase customer satisfaction, and manage risk and compliance.

EXL serves the insurance, healthcare, banking and financial services, utilities, travel, transportation and logistics industries. Headquartered in New York, New York, EXL has more than 69,000 professionals in locations throughout the United States, Europe, Asia (primarily India and Philippines), Latin America, Australia and South Africa.

EXL Analytics provides data-driven, action-oriented solutions to business problems through statistical data mining, cutting edge analytics techniques and a consultative approach. Leveraging proprietary methodology and best-of-breed technology, EXL Analytics takes an industry-specific approach to transform our clients’ decision making and embed analytics more deeply into their business processes. Our global footprint of nearly 8,000 data scientists and analysts assist client organizations with complex risk minimization methods, advanced marketing, pricing and CRM strategies, internal cost analysis, and cost and resource optimization within the organization.

EXL Analytics serves the insurance, healthcare, banking, capital markets, utilities, retail and e-commerce, travel, transportation and logistics industries.

Please visit  for more information about EXL Analytics.

Role & Responsibilities Overview:

• Develop machine learning models for various P&C insurance products elated 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:

• Location - Based out of US, (Cincinnati, Ohio Preferred)
• 7+ years of experience in P&C insurance analytics, pricing, or actuarial-adjacent Data Science roles with proficiency in advanced Machine Learning, NLP, 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
• Bachelors 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, stats models)
• 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

What we offer:

• EXL Analytics offers an exciting, fast paced and innovative environment, which brings together a group of sharp and entrepreneurial professionals who are eager to influence business decisions. From your very first day, you get an opportunity to…