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Tier-1 brand but senior internal-principal requirement narrows candidate pool, resulting in medium competition.
Core ML/data skills are transferable but principal-level commercial insurance experience increases sensitivity.
Explicit principal-tenure, appraisal, disciplinary, and experience requirements make screening highly strict.
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Collaborate with international stakeholders to deliver data science analyses aligned with business goals.
Manage and improve scalability and automation of large, complex datasets using Python and SQL.
Design and implement AI workflows and data science models including forecasting and prescriptive analytics, delivering actionable business insights.
Minimum 12 months experience as Principal Engineer - Data Science (C2) / Senior Principal Engineer - Data Science (D1).
3-5 years progressive experience mining large complex datasets using advanced quantitative and modeling techniques.
Bachelor's degree in engineering, analytics, or related fields; Master's degree also acceptable in Statistics, Computer Applications, IT, Business Analytics, or similar.
Hybrid role based in Mumbai requiring at least 3 days a week onsite attendance.
Experienced in working with international stakeholders and managing multiple projects with tight deadlines.
Strong technical expertise in Python, SQL, data modeling, machine learning, and familiarity with big data and cloud platforms.
Demonstrates commercial awareness and initiative to improve analytics techniques and output with clear communication skills.