Lead Data Scientist

About the job

Exposure in - 7+ years of relevant data science, analytics, predictive analytics or advanced risk modelling with large-scale data and project management experience • 3+ years of hands-on Python experience coding machine learning models (XGBoost, Random Forest, Catboost, etc.), time series (ARIMA, VC, etc.), regression and / or segmentation analyses on large data sets • 3+ years of hands-on SQL experience, specifically to write complex, highly optimized queries across large volumes of structured and unstructured data in preparation for analyses; experience with Snowflake a plus • Experience presenting to an executive audience, building insightful presentations that use data to create compelling cases for change Qualification Required From - • Bachelor’s Degree / Master’s degree- required in a mathematics-based discipline such as engineering, math, statistics, economics or similar discipline. State level – Tier 1 institutions / National, Deemed – Tier 2 institutions (VIT, Manipal, SRM, IIITs, newer IITs / NITs / State government Eng colleges), MBA from Tier 2 institution (Ex : MDI Gurgaon, IMT Ghaziabad, SIMB Pune) Experience Industries from- Fintech (Credit, BNPL, Lending platforms) – Highly Preferred, Mortgage / Home, Auto financing risk assessment roles, risk assessment roles in Commercial / Residential REITs, Risk modelling / Data science roles in BFSI domain Please Note- Must have strong exposure stakeholder & people management.

Requirements

• Data Science
• Analytics
• Python
• SQL
• Risk Modelling

Qualifications

• Bachelor’s Degree / Master’s Degree in a mathematics-based discipline

Preferred Technologies

• Data Science
• Analytics
• Python
• SQL
• Risk Modelling