Lead Data Scientist
Mumbai, Maharashtra, IndiaJobPosted 3mo agoStill listed 2 days ago
Mumbai, Maharashtra, IndiaJobNo compensation foundPosted 3mo agoStill listed 2 days ago
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At a glance
Compensation
No compensation found
Location
Mumbai, Maharashtra, India
Work Authorization
Not specified
Olive lists jobs from US employers, including remote roles you can work from the United States.
Job overview
Requirements:
- 10-14 years of experience in data science, machine learning, advanced analytics, or related fields.
- Strong experience within banking, financial services, insurance, FinTech, InsurTech, or related domains.
- Proven experience building and deploying machine learning models in product
Skills & qualifications
RequiredNice to have
Skills
Analytics, nice to haveSQL, nice to haveTensorFlow, nice to haveFraud, nice to haveFinancial Technology, nice to haveFinancial Services, nice to haveXgboost, nice to haveData Infrastructure, nice to haveMachine Learning, nice to havePython, nice to haveUnderwriting, nice to havePandas, nice to haveUnsupervised Learning Techniques, nice to havePyTorch, nice to haveScikit-Learn, nice to haveFraud Detection, nice to haveData Science, requiredAdvanced Analytics, requiredBanking, requiredInsurance, requiredFinTech, requiredInsurTech, requiredFraud Analytics, requiredRisk Modelling, requiredUnderwriting Analytics, requiredClaims Analytics, requiredSupervised Learning, requiredUnsupervised Learning, requiredLightGBM, requiredData Platforms, requiredCloud Environments, requiredMLOps, requiredCommunication, requiredCustomer-Facing, requiredStakeholder Management, required
Qualifications
10-14 Years Experience, required
Full job description
Requirements:
- 10-14 years of experience in data science, machine learning, advanced analytics, or related fields.
- Strong experience within banking, financial services, insurance, FinTech, InsurTech, or related domains.
- Proven experience building and deploying machine learning models in production environments.
- Demonstrated experience in fraud analytics, fraud detection, risk modelling, underwriting analytics, claims analytics, or related domains.
- Strong understanding of supervised and unsupervised learning techniques.
- Hands-on expertise in Python and common data science libraries (Pandas, Scikit-learn, XGBoost, LightGBM, TensorFlow, PyTorch, etc. ).
- Experience working with SQL and large-scale data platforms.
- Familiarity with cloud environments and modern MLOps practices.
- Strong communication, customer-facing, and stakeholder management skills.
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