
Job Description:
About the Role:
We are looking for a Data Science & Analytics Lead with 8+ years of experience in the BFSI/NBFC or Life Insurance domain. The person will lead an analytics vertical, manage teams and work closely with senior business and client stakeholders to deliver data-driven solutions.
Key Responsibilities:
- Lead the Data Science & Analytics vertical, including team, projects and delivery.
- Develop and oversee machine learning, statistical and predictive models.
- Work on BFSI use cases such as credit risk, underwriting, fraud, collections, customer analytics, churn and cross-sell.
- For Life Insurance, strong understanding of persistency, lapse, underwriting, claims, customer segmentation and propensity models is preferred.
- Translate business problems into practical analytics solutions and drive projects end-to-end.
- Manage and mentor Data Scientists and Analysts.
- Work with senior stakeholders and clients to understand requirements and present analytical insights.
- Identify new analytics opportunities and contribute to the growth of the vertical.
What We Are Looking For:
- 8+ years of experience in Data Science, Advanced Analytics or Risk Analytics.
- Strong experience in BFSI/NBFC or Life Insurance.
- Deep understanding of Credit Risk - Risk Modelling or Life Insurance analytics.
- Strong hands-on experience in Python, SQL and Machine Learning.
- Experience with models such as Logistic Regression, Random Forest, XGBoost, GBM, etc.
- Strong understanding of model validation and performance metrics such as Gini, KS, AUC, PSI and Lift.
- Experience in team/vertical management and stakeholder management.
- Strong business understanding and ability to connect analytics with business outcomes.
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