Job Title

Job Role We are seeking an experienced Senior Data Scientist to lead advanced analytics initiatives focused on marketing strategies for our insurance carrier. The ideal candidate will have deep expertise in marketing analytics, leveraging data to optimize customer acquisition, retention, and segmentation within the insurance industry (e.g., Life & Annuity, Property & Casualty) You will drive data-driven decision-making by developing sophisticated models, collaborating with cross-functional teams, and delivering actionable insights to enhance marketing performance and business outcomes.Key Responsibilities Marketing Analytics: Design and implement advanced analytical models to optimize marketing campaigns, customer segmentation, and lifetime value (CLV) prediction for insurance products. Customer Segmentation: Apply unsupervised learning techniques (e.g., K-Means, Hierarchical Clustering) to identify high-value customer segments using internal and external data sources. Predictive Modeling: Develop and deploy machine learning models for churn prediction, cross-selling opportunities, and personalized marketing recommendations, ensuring alignment with insurance underwriting and pricing strategies. Campaign Optimization: Analyze marketing campaign performance (e.g., email, digital ads, direct mail) using A/B testing and attribution modeling to maximize ROI and customer engagement. Data Integration: Collaborate with data engineers to integrate diverse datasets, including policy administration systems (e.g., policy details, claims data), CRM platforms, and external sources (e.g., consumer purchase data, geospatial information) for comprehensive analysis. Visualization & Reporting: Create intuitive dashboards and visualizations using tools like Power BI, Tableau, or Python libraries (e.g., Seaborn, Plotly) to communicate insights to marketing, underwriting, and executive stakeholders. Cross-Functional Collaboration: Partner with marketing, actuarial, and product teams to align analytics with business objectives, such as improving customer retention or targeting underserved markets.Qualifications Education: Master’s or Ph.D. in Data Science, Statistics, Computer Science, Mathematics, or a related field. 8+ years of experience in data science, with at least 3 years focused on marketing analytics. Proven track record in the insurance industry will be preferredTechnical Skills: Advanced proficiency in Python for data analysis and modeling. Expertise in SQL for querying large-scale databases (e.g., Snowflake, Azure Synapse). Experience with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch) and unsupervised learning algorithms. Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and big data tools (e.g., Spark, Hadoop). Proficiency in data visualization tools (e.g., Power BI, Tableau) and ETL processes. Knowledge of insurance-specific platforms (e.g., WEBS, Duck Creek, FINEOS) is a plusWhat 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 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 EXL 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 EXL Analytics sets the stage for further growth and development in our company and beyond.