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Strong brand, mid-level ML role, Pune metro and broad skillset create high competition.
Requires credit-risk and bureau-data familiarity, reducing cross-industry transferability to medium.
Explicit degree-plus-years and mandatory ML, deployment, cloud and PySpark skills indicate high shortlisting strictness.
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Lead development and deployment of analytic solutions across credit, fraud, insurance, and marketing applications, managing full lifecycle from proposal to monitoring.
Oversee and support analytic solution development using R, Python, Spark ML, and cloud tools; implement process improvements and innovation initiatives.
Lead multiple complex projects, mentor junior staff, manage small teams or interns, and collaborate with business units to deliver strategic analytic products and services.
Master's or PhD in quantitative field with 5+ years relevant experience, or Bachelor's with 8+ years; consistent academic excellence required.
Experience with machine learning, deep learning, and end-to-end model deployment lifecycle.
Exposure to Cloud-based tools (GCP/AWS) and Spark ML/PySpark in distributed environments.
Ability to work hybrid with minimum two days per week onsite at assigned TransUnion office.
Experienced in credit risk model lifecycle within financial services, familiar with credit bureau data and risk management practices.
Capable of leading projects independently in fast-paced matrix environments, balancing technical delivery with stakeholder management.
Skilled in translating technical methods into actionable business recommendations, and driving innovation through prototype to production scale.