Overview

We are seeking a highly analytical and technically proficient Data Scientist to join our fast-paced Fintech product team.

Responsibilities

• Model Building: Design and develop sophisticated machine learning models for predictive analytics, fraud detection, and decisioning systems within the fintech domain.
• Production Deployment: Take full ownership of deploying models into production environments, ensuring they are scalable, robust, and deliver measurable business value.
• Performance Monitoring: Implement continuous learning systems for model evaluation, data refresh, and retraining to maintain high predictive accuracy in production.
• Collaboration: Partner with Data Engineers to source, clean, validate, and integrate data pipelines that feed into ML workflows.
• Data Quality: Perform rigorous data analysis, preprocessing, and feature engineering to ensure high-quality input for model training.
• Big Data Analytics: Extract, transform, and analyze data from large data warehouses utilizing big data technologies.
• Stakeholder Engagement: Translate complex, ambiguous business problems into concrete data science objectives and communicate insights effectively to drive action.
• Data Governance: Ensure all data handling and processing complies with internal standards and external financial regulations (e.g., DPDP 2023), maintaining strict data privacy.
• Dual Degree: B.Tech + M.Tech in Computer Science, OR
• Tier 1 B.Tech: A Bachelor of Technology (B.Tech) degree exclusively from a Tier-1 engineering institute in India. Recognized Tier-1 institutions include:
• IITs: (e.g., Madras, Delhi, Bombay, Kanpur, Kharagpur, Roorkee, Hyderabad, Guwahati).
• NITs: (e.g., Trichy, Surathkal, Warangal, Rourkela).
• IIITs: (e.g., Hyderabad, Bangalore, Delhi).
• Premier Institutes: BITS Pilani, Jadavpur University.

Qualifications

• Programming & Scripting: Expert-level proficiency in Python (for ML and data manipulation) and SQL (for writing efficient, complex queries).
• Machine Learning: Solid grounding in ML fundamentals, statistical modeling, hypothesis testing, and experience with frameworks like Scikit-Learn, TensorFlow, or PyTorch.
• Latest Tech Stack: Experience with modern data science environments (e.g., Jupyter, DSW), cloud platforms (AWS preferred), and MLOps tools (e.g., MLflow, Kubeflow, SageMaker).
• Bonus (Not Mandatory): Familiarity with integrating LLMs or Generative AI workflows (LangChain, OpenAI APIs) into production environments.

Benefits

• Competitive Salary: Up to ₹30,00,000 LPA, based on interview performance and specific skill sets.
• Impactful Work: The opportunity to build core models that directly impact risk management and business revenue.
• Work Environment: Full-time, Work-from-Office setup in our modern Bangalore or Gurgaon locations to foster tight collaboration.