Senior Data Scientist

About the role

Job Title: Sr. Data Scientist

Location: US Remote

Fulltime

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