Data Scientist

10 hours ago

Mumbai Metropolitan Region, India Golden Legand Leasing and Finance Ltd. Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Job Title :
Data Scientist / Machine Learning Engineer (Fraud Detection & Transaction Monitoring)

Location
: Mumbai, India (On-site)

Experience : 4- 7 years
Employment Type : Full-time

About The Role
We are looking for an experienced Data Scientist / Machine Learning Engineer to join our AI/ML team in Mumbai.

The ideal candidate will have a strong background in building machine learning and deep learning models particularly in fraud detection, transaction monitoring, or risk analytics and will be responsible for the end-to-end model lifecycle, from data exploration to production deployment and monitoring.

Key Responsibilities

  • Design and develop ML/DL models for fraud detection, risk scoring, and transaction monitoring.
  • Experiment with supervised, unsupervised, and semi-supervised learning techniques for anomaly detection.
  • Manage data pre-processing, feature engineering, training, validation, deployment, and continuous improvement.
  • Implement scalable and reproducible ML pipelines.
  • Deploy and maintain models in production using MLOps frameworks such as MLflow, Kubeflow, Airflow, or AWS Sagemaker.
  • Implement CI/CD for model updates and retraining.
  • Partner with data engineering teams to build robust data pipelines, feature stores, and real-time scoring infrastructure.
  • Build systems for automated model evaluation, drift detection, and performance reporting.
  • Work closely with product, compliance, and risk teams to define fraud detection strategies and translate business needs into ML solutions.

Required Skills & Qualifications

  • Bachelors or Masters degree in Computer Science, Data Science, Statistics, Applied Mathematics, or a related field.
  • Proficiency in Python (NumPy, Pandas, Scikit-learn, TensorFlow/PyTorch).
  • Experience with fraud detection, transaction monitoring, or anomaly detection.
  • Strong background in machine learning and deep learning architectures (RNN, LSTM, Transformer, GNN).
  • Experience with MLOps tools MLflow, Kubeflow, Airflow, or AWS Sagemaker.
  • Familiarity with data pipelines and distributed systems (Spark, Kafka, etc.).
  • Experience deploying ML models on AWS / GCP / Azure environments.

Soft Skills

  • Analytical and structured problem-solving ability.
  • Strong communication skills to collaborate with technical and business teams.
  • Ability to work independently and drive results in a fast-paced environment.

Preferred Experience

  • Hands-on experience with real-time fraud detection or behavioral anomaly detection.
  • Exposure to financial transactions, payment gateways, or card network ecosystems.
  • Understanding of explainable AI (XAI) tools such as SHAP, LIME, or Captum.
  • Familiarity with graph-based fraud detection approaches.

What We Offer

  • Opportunity to build next-generation fraud detection systems at scale.
  • Collaborative and high-growth work environment.
  • Competitive compensation and benefits.
  • Chance to work on real-world AI/ML challenges in the fintech domain from our Mumbai on-site office.

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