Sr. Applied Data Scientist / ML Lead
Friends Color Images Private Limited (company site, opens in a new tab)6–10 yrsNoidaOn-siteDirect career pageEst. 20–40 LPA
Posted on 11 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead development, evaluation, and deployment of ML models focused on banking transaction and behavioral data to drive customer engagement growth, initially targeting credit cards.
- Establish and maintain robust production ML pipelines and governance, including secure on-premises/private cloud deployment suited for bank environments.
- Collaborate with banking co-development partners and internal teams for model reproducibility, knowledge transfer, and enabling multi-bank reusable ML architectures.
Minimum Requirements
- 6+ years of experience in Applied Data Science / Machine Learning.
- Strong hands-on skills in Python, SQL, and ML frameworks like scikit-learn, XGBoost, LightGBM, CatBoost, or PyTorch.
- Experience delivering and maintaining production ML models with associated monitoring, retraining, and improvements.
- Work Experience Required: 6+ years in relevant Applied Data Science/ML roles.
Ideal Candidate Profile
- Experienced in building ML solutions for large structured and transactional datasets with expertise in feature engineering, experimental design, and business impact measurement.
- Proven ability to operate within secure, privacy-sensitive environments including on-prem and private cloud deployments, ensuring governance and auditability.
- Demonstrated ability to collaborate cross-functionally with product, engineering, and external partners for knowledge transfer and scalable multi-client solution deployment.