Sr. Data Scientist 4B
Genpact (company site, opens in a new tab)BengaluruHybridDirect career pageEst. 18–33 LPA
Posted on 18 Sept
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Job description
Structured overview of role & requirements
About This Role
- Develop, validate, and deploy machine learning models focused on collections analytics to support predictive analytics solutions.
- Build scalable, production-ready machine learning pipelines and monitor model performance continuously.
- Collaborate with business stakeholders and technical teams to translate requirements into AI/ML solutions and optimize models based on business feedback.
Minimum Requirements
- Strong hands-on experience in machine learning, predictive analytics, and statistical modeling using Python and ML frameworks such as Scikit-learn, XGBoost, LightGBM, CatBoost, TensorFlow, or PyTorch.
- Proficiency in feature engineering, model evaluation, hyperparameter tuning, model explainability, and supervised learning techniques.
- Experience working with large structured datasets using SQL; knowledge of model deployment, monitoring, and MLOps.
- Work Experience Required: Relevant years of overall experience in Data Science, Advanced Analytics, or Machine Learning with proven end-to-end solution deployment in production environments.
Ideal Candidate Profile
- Expertise in collections analytics or BFSI domain, especially in areas like delinquency management, customer repayment behavior, and contact strategy optimization.
- Demonstrated ability to execute end-to-end machine learning projects, including model development and production deployment in collaboration with cross-functional teams.
- Familiarity with advanced ML workflows and tools, and optionally with cloud platforms (AWS, Azure, GCP) or foundational knowledge of GenAI/LLMs.