Senior Data Scientist I

Job Summary GG11.1 Role Value Proposition Data Scientist plays a critical role in data and analytics life cycle and significantly contributes to production grade data and analytics solutions. The role requires one to demonstrate analytical skills, machine learning. It is an individual contributor role. This role mentors data scientists. It is an individual contributor role, expected to solve wide ranging business problems Job Details Location: Pune, Maharashtra Working Schedule: Full-Time Work Arrangement: Hybrid Relocation Assistance Available: No Responsibilities Design, build, validate and deploy production grade rule-based machine learning models using structured and unstructured data. Perform exploratory data analysis, feature engineering. Monitor, evaluate and improve model performance. Ensure model development follows quality, security, compliance, explainability and responsible use of AI guidelines. Collaborate with multiple partners from Business, Technology, Operations and DA capabilities (Data Governance, Data Quality, Data Modeling, Data Architecture, Data science, DevOps, BI insights). Mentor Data Scientists. Independently lead design, solutioning estimations. Technical Skills: Python. Statistics, hypothesis testing, Feature engineering, Modeling. Machine learning frameworks: SCikit-learn, TensorFlow, Pytorch. Natural language processing (NLP): spacy, Transformers, OCR. Generative AI: Large language Models, prompt engineering. Communication skills, analytical skills, structured problem-solving skills. Mentorship experience. Storytelling skills, Partner Stakeholder engagement experience. Good To have Azure ML or cloud AI/ML Services. ML Ops. Banking Financial Services and Insurance domain knowledge. Requirements Experience: 8-10+ years of relevant experience. Education: Bachelors degree in computer science, information technology or equivalent educational qualification.