Senior Data Scientist - Python/NLP

Role Overview :

As a Senior Data Scientist, you will play a key role in developing and deploying machine learning models that drive AI-driven financial intelligence. You will work with alternative data sources, optimize AI models for real-world fintech applications, and ensure compliance with regulatory standards.

Key Responsibilities :

1. AI, ML & Data Science Development

- Develop and deploy AI/ML models that solve core fintech challenges, including fraud detection, credit underwriting, and transaction intelligence.

- Leverage alternative data sources such as telco data, geospatial data, and social data for predictive analytics.

- Optimize models for scalability, accuracy, and real-time decision-making in financial workflows.

- Ensure AI models adhere to fairness, bias-free, and explainability principles.

2. Data Engineering & Model Deployment

- Work with structured and unstructured financial data to extract meaningful insights.

- Deploy machine learning models into production environments, ensuring seamless integration with financial platforms.

- Collaborate with data engineers to build scalable AI pipelines.

- Continuously improve model performance using A/B testing and model monitoring techniques.

3. Explainable AI & Compliance :

- Develop Explainable AI (XAI) solutions to ensure transparency in AI-driven decision-making.

- Ensure AI models comply with fintech regulations and risk management guidelines set by RBI, NPCI, and other regulatory bodies.

- Work closely with compliance and legal teams to align AI solutions with industry best practices.

4. Collaboration & Leadership :

- Mentor junior data scientists, fostering a culture of innovation and continuous learning.

- Collaborate with business, engineering, and product teams to align AI strategies with company goals.

- Stay updated with the latest advancements in AI, ML, and financial analytics to keep our solutions at the cutting edge.

Key Qualifications :

- 5+ years of experience in Data Science, AI, or ML, preferably in fintech, banking, or risk management.

- Expertise in machine learning, deep learning, NLP, and alternative data analytics.

- Strong proficiency in Python, SQL, TensorFlow/PyTorch, and ML frameworks.

- Experience in deploying AI models at scale in fintech or BFSI environments.

- Familiarity with Explainable AI (XAI) and regulatory challenges in financial services.

- Ability to translate complex data insights into actionable business strategies.

- Strong communication and collaboration skills, with experience working in cross-functional teams.