Senior Data Scientist

XDuce; United States; On-site; USD 150,000 - 190,000; Full time

Job summary

CLIENT Analytics, the analytics arm of CLIENT headquartered in New York, seeks a senior Data Scientist with 7+ years in P&C insurance analytics to develop ML models for pricing, customer behavior, retention, price sensitivity, and risk segmentation.

You will design feature pipelines from policy, claims, exposure and behavioral data and deploy models in Databricks environments, collaborating with actuarial, underwriting and product teams to deliver analytical solutions.

Qualifications

• 7+ years in P&C insurance analytics, pricing, or actuarial-adjacent data science roles

Responsibilities

• Develop ML models for P&C insurance pricing, customer behavior, retention and risk segmentation
• Build, enhance, and maintain GLM-based pricing models (frequency, severity, pure premium)
• 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

Skills

ML algorithms

GLM modeling

Python

Databricks

SQL

Model explainability

Model deployment

Education

Bachelor's or Master's in data science or related analytics

Tools

Databricks

Spark

Job description

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

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

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 (REMOTE)
• 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, 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

What we offer:

• CLIENT 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 work closely with highly experienced, world class analytics consultants.
• You can expect to learn many aspects of businesses that our clients engage in. You will also learn effective teamwork and time-management skills - key aspects for personal and professional growth
• Analytics requires different skill sets at different levels within the organization. At CLIENT Analytics, we invest heavily in training you in all aspects of analytics as well as in leading analytical tools and techniques.
• We provide guidance/ coaching to every employee through our mentoring program wherein every junior level employee is assigned a senior level professional as advisors.
• Sky is the limit for our team members. The unique experiences gathered at CLIENT Analytics sets the stage for further growth and development in our company and beyond