Lead Data Scientist
Société Générale (company site, opens in a new tab)6–7 yrsBengaluruOn-siteDirect career pageEst. 20–35 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Own end-to-end development and deployment of AI/ML models using classical algorithms (SVM, Decision Trees, Random Forests, k-NN, Naive Bayes, ensembles) aligned with enterprise objectives.
- Conduct thorough statistical analysis, exploratory data analysis, and ensure data quality and model validation using statistical and machine learning evaluation techniques.
- Collaborate cross-functionally to deliver scalable AI/ML solutions and support ML lifecycle including infrastructure setup, production, monitoring, and release management with basic MLOps knowledge.
Minimum Requirements
- 6-7 years of professional experience in Data Science.
- Proven proficiency in statistical analysis, machine learning, and natural language processing with practical understanding.
- Advanced skills in Python programming and SQL with relevant data analysis libraries.
- Competency in software development methodologies, versioning tools, and basic familiarity with MLOps.
Ideal Candidate Profile
- Experienced in delivering AI/ML projects end-to-end in enterprise or multidisciplinary team environments.
- Strong statistical foundation with demonstrated capability in designing and validating predictive models and classifiers.
- Comfortable communicating technical insights to non-technical stakeholders and operating across model development, deployment, and monitoring phases.