CI&T is looking for a Data Scientist to join a strategic data program for a client in the financial sector with a focus on agricultural credit. The project aims to transform a highly manual and fragmented operation into a scalable Data Intelligence Platform, with predictive and integrated capabilities to the client's technological ecosystem.
Requirements
- Solid experience in data science with a focus on predictive modeling for business problems in production
- Proven experience with classification and ensemble models (Random Forest, Gradient Boosting, XGBoost, or equivalents) in credit, risk, or anomaly detection contexts
- Experience with Databricks for model development, experimentation, and versioning (Delta Lake, MLflow, Spark MLlib, or equivalent distributed environment libraries)
- Strong feature selection, data imbalance treatment, and temporal validation strategies for risk models
- Experience in data analysis and modeling in the AWS ecosystem (S3, Athena, SageMaker, or equivalent ML-managed cloud services)
- Ability to communicate results and model limitations to non-technical audiences with clarity and business decision orientation
- Experience in the financial services sector (credit, risk, delinquency, or similar)
- Differentials: Technical-level English reading and documentation
Benefits
- Health and dental plan
- Food and meal allowance
- Childcare allowance
- Extended parental leave
- Partnership with gyms and health and wellness professionals via Wellhub (Gympass) TotalPass
- Participation in profits and results (PLR)
- Life insurance
- Continuous learning platform (CI&T University)
- Discounts club
- Free online platform dedicated to promoting physical, mental, and well-being
- Pregnancy and responsible parenting course
- Partnership with online course platforms
- Language learning platform
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