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Tier-1 brand, metro Bangalore location, and mid-level ML role increase competition.
Strong ML tooling and techniques are transferable, though insurance domain knowledge moderately matters.
Explicit 5+ years requirement plus mandatory Databricks, ML frameworks, and monitoring create strict filters.
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Lead end-to-end data science projects including data gathering, cleaning, EDA, feature engineering, model development (GLM, Generative AI, neural networks), validation, and performance monitoring.
Collaborate with business stakeholders to define problems and deliver actionable model insights that impact business decisions.
Build and mentor a data science team; promote best practices in coding, documentation, and collaborative development using GitHub.
5+ years of experience in data science/model development roles.
Proficient in Python, SQL, and experienced with Databricks (mandatory) and big data platforms (e.g., Spark, Hadoop).
Experience with machine learning frameworks for GLM, Generative AI, and neural networks (e.g., TensorFlow, PyTorch).
Bachelor's or Master’s degree in Computer Science, Statistics, Mathematics, or related field.
Strong conceptual understanding of statistical and machine learning principles with ability to explain outcomes clearly to technical and non-technical stakeholders.
Experienced in full model development lifecycle with emphasis on model monitoring and maintaining business relevance over time.
Demonstrated leadership in team building, mentoring, and fostering collaborative development environments.