Data Scientist - Fraud & Analytics
First seen by Alion on Sep 2, 2026.
We're 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 You'll 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.
Skills
Data Science, Machine Learning, Python, SQL, Data Scientist, Predictive Modeling, Data Modeling, Fraud Analytics