{"id":1279485,"url":"https://alion.io/job/whitewhale-software-solutions-pr-lead-data-scientist","title":"Lead Data Scientist","company":{"id":3800297,"name":"Whitewhale software solutions pr","domain":"whitewhalesoft.in","url":"https://alion.io/company/whitewhale-software-solutions-pr","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Pune, 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explainability, and compliance within BFSI regulatory standards.\n\n- Collaborate with Product, Risk, Engineering, Data, and Business teams to deliver AI-driven business outcomes.\n\n- Define AI platform architecture, operational excellence, SLAs, and incident management practices.\n\n- Build, mentor, and scale high-performing AI Engineering and Data Science teams.\n\nIdeal Candidate :\n\n- Strong Lead Data Science, AI Engineer, or Machine Learning Engineer profiles.\n\n- 10+ years of experience in Data Science, AI/ML or AI Engineering with hands-on experience building production-grade ML systems.\n\n- Hands-on experience building AI/ML solutions for Credit Risk, Fraud Risk Management (FRM), Collections & Recovery, with proven delivery of business-impacting AI/ML solutions.\n\n- Current designation must be Lead or above.\n\n- Strong experience designing and deploying large-scale distributed Machine Learning systems, including model training, fine-tuning, inference, scalable serving, and production deployment.\n\n- Strong programming experience in Python, along with exposure to Spark, Kafka, Kubernetes, APIs/Microservices, CI/CD, Feature Store, Model Registry, and Distributed Computing.\n\n- Experience designing and deploying Credit Risk Models, Fraud Detection Models, Graph ML, Early Warning Systems, Portfolio Monitoring, Collections Optimization, Propensity Models, and Recovery Forecasting.\n\n- Proven experience leading AI/ML teams, owning end-to-end delivery, mentoring engineers, driving cross-functional execution, and managing production AI platforms.\n\n- Experience working under BFSI governance, including PII handling, auditability, model governance, compliance, secure-by-design architecture, approval workflows, and model risk management practices.\n\nEducation & Requirements :\n\n- B.TECH / M.TECH from Tier 1 Colleges (IIT's, NIT's, BITS) are considered.\n\n- Candidate's Age should be below 37 years.\n\n- The CTC breakup offered will be 75% fixed + 25% variable, as per company policy.\n\n- Candidates currently working as Lead / Principal / Engineering Manager / Associate Director / Director in reputed Product, FinTech, Banking, NBFC, or Global Capability Centers will be preferred.\n\n- Indian professionals currently working overseas (NRI) who are planning to relocate and permanently settle in India are encouraged to apply.\n\n- Experience building enterprise AI platforms using Graph ML, Vector Databases, LLM-enabled decisioning, distributed training frameworks, and large-scale AI infrastructure.\n\nSkills\nMachine Learning, Data Science, Credit Risk Modeling, Fraud Analytics, Python, Kubernetes, Artificial Intelligence, Data 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