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Strong employer brand, Bangalore location, broad junior ML role and generalist Data Scientist title drive high competition.
Core ML skills transfer across industries, but insurance underwriting and pricing domain knowledge moderately increases fit sensitivity.
Requires advanced degree plus mandatory ML/NLP, Python, production model experience and specific tooling, so screening will be strict.
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Define project scope and deliver machine learning/NLP models for global underwriting and pricing automation, ensuring models meet KPIs post production.
Work independently to handle stakeholder requests, present results, and implement models, mentoring junior team members as needed.
Innovate by applying new AI/ML methodologies and deepen expertise across multiple insurance lines.
Advanced degree in data science, business analytics, computer science, statistics, mathematics, or economics.
Strong hands-on experience in machine learning model development and maintenance with sound knowledge of ML concepts and tools (e.g., scikit-learn, h2o).
Proficient in Python programming including libraries like Numpy, Pandas, Matplotlib; knowledge of R and SQL is a plus.
Location: Bangalore, India; Work Experience Required: Not explicitly mentioned in the JD.
Experienced with practical application of a broad range of machine learning and deep learning techniques, especially in unstructured data/NLP.
Able to independently manage end-to-end analytical projects in a global, cross-functional stakeholder environment with measurable impact.
Strong capability in transforming business problems into ML solutions relevant to insurance, with demonstrated problem-solving and communication skills.