Were Hiring | Data Scientist - Fraud & Analytics

Location : Gurugram

Experience : 2 - 6 Years

Work Mode : Work From Office

Relocation Policy : No Relocation Cases - Only candidates already based in the job location will be considered.

Joining : Early Joiners preferred - Minimum 2 weeks required

Notice Period : Candidates with up to 30 days official notice period can be considered

Mandatory Skills :

- Strong hands-on experience in Python

- Machine Learning & Predictive Modeling

- MLOps and ML model deployment

- Feature Engineering

- Data Modeling & SQL

- Experience building, deploying, and maintaining end-to-end ML models

What Youll Do :

- Develop and deploy ML models for fraud detection and transaction risk use cases.

- Own the complete ML lifecycle including feature engineering, training, validation, deployment, and monitoring.

- Analyze fraud/risk data and optimize business rules and fraud prevention strategies.

- Work with cross-functional teams to translate analytical insights into actionable business policies.

- Support Power BI dashboards and reporting for model performance and fraud risk metrics.

- Provide technical guidance to junior team members and lead analytics/ML initiatives.

Preferred Skills :

- Experience in Fraud Detection, Financial Risk, Banking/FinTech, or Analytics.

- Exposure to AWS services such as S3, SageMaker, Lambda, or Glue.

- Experience with Git, CI/CD, and MLOps practices.

- Knowledge of Pandas, Scikit-learn, XGBoost, TensorFlow/PyTorch.