Data Scientist

Altimetrik is hiring a Data Scientist in Bengaluru, India. The details below summarise the employer's own listing; applications happen on the original posting, not on GetFirstJob.

What the work involves

• from real-time transaction fraud detection to authorization optimization, credit/behavioral risk scoring, and anomaly detection in scheme and settlement data
• You'll work with high-volume, high-velocity transactional data in a regulated, low-latency environment where model accuracy, explainability, and operational robustness all matter as much as raw predictive performance
• You'll partner closely with Fraud & Risk, Engineering, Compliance, and Product to turn data into models that run in production and not just notebooks that sit on a shelf
• Model Development
• Design, train, validate, and deploy ML models for use cases such as: real-time transaction fraud detection, card-not-present (CNP) risk scoring, authorization decline/approval optimization, chargeback/dispute prediction, merchant risk scoring, and AML/transaction-monitoring anomaly detection
• Engineer features from transactional, behavioral, and device/network data while respecting strict latency budgets (often sub-100ms scoring at authorization time)
• Evaluate and select appropriate techniques
• gradient boosting, deep learning, graph-based fraud detection, anomaly detection, time-series methods, based on the problem, not fashion
• Productionization & MLOps
• Work with Engineering to deploy models into real-time and batch pipelines, ensuring reliability, monitoring, and rollback safety in a payments-critical path

What they are looking for

• We are looking for an AI/ML Data Scientist to design, build, and deploy machine learning models across our payments platform
• This role sits at the intersection of data science, payments domain expertise, and production ML engineering
• , and internal data governance policies
• particularly around cardholder data (PANs, CVVs, authentication data)
• 8+ years of overall experience, including at least 3+ years as a Data Scientist or ML Engineer, ideally in payments, fintech, banking, or another environment with high-volume transactional data and real-time decisioning
• Strong proficiency in Python (pandas, scikit-learn, XGBoost/LightGBM, PyTorch or TensorFlow) and SQL
• Demonstrated experience building and deploying models into production (not just research/exploratory work), with attention to monitoring and retraining considerations
• Solid understanding of classification, anomaly detection, and imbalanced-class problems (fraud is a classic rare-event problem)

Pay and dates

The listed pay is Not Disclosed. The source page shows a relative posting age rather than an exact posting date; this role was first seen and checked as open on 4 November 2026. The source page showed it as posted “Few hours ago” when captured; that is a relative stamp, not an exact date.

How to apply

Apply on the listing where the employer published this role: Data Scientist at Altimetrik. We found this listing via naukri.com; it was still open when we checked on 4 November 2026. If the posting has closed or the link fails, the role may have been filled.