Role Overview:

We are seeking a seasoned Lead Data Scientist to spearhead our advanced analytics initiatives within the BFSI domain at our Pune office. In this strategic role, you will bridge the gap between complex mathematical modeling and high-stakes financial decision-making, working closely with product heads, risk officers, and engineering teams to translate business challenges into scalable data solutions. You will be responsible for driving the end-to-end lifecycle of predictive models that directly influence credit underwriting, fraud detection, and customer lifetime value, ultimately shaping the financial trajectory of our organization.

This is a high-impact position designed for a technical leader who thrives on solving intricate problems in a fast-paced, data-driven environment.

Key Responsibilities:

- Architect and deploy robust machine learning frameworks that optimize credit risk assessment and financial forecasting to improve portfolio performance.
- Lead cross-functional collaboration with business stakeholders to identify high-value use cases, ensuring that data-driven insights align with long-term organizational goals.
- Mentor a team of high-performing data scientists, fostering a culture of technical excellence and rigorous experimentation to maintain our competitive edge in the market.




- Translate complex analytical findings into actionable strategic recommendations for senior leadership, facilitating informed decision-making across the enterprise.
- Oversee the end-to-end development of predictive models, from data ingestion and feature engineering to production deployment and performance monitoring, ensuring high availability and accuracy.

Required Skillset:

- Demonstrated expertise in building and scaling machine learning models using Python, with a deep understanding of statistical modeling and predictive analytics within the financial services sector.
- Proven ability to communicate technical concepts to non-technical stakeholders, ensuring clarity and buy-in for data-driven initiatives across the organization.
- Strong educational foundation with a degree from a Tier 1 institute (IIT, NIT, or BITS), reflecting a high level of analytical rigor and problem-solving capability.
- Extensive experience managing the full lifecycle of data products, including the ability to navigate the complexities of large-scale financial datasets.
- Exceptional leadership skills with a track record of guiding technical teams through complex projects in a cooperative, in office work environment in Pune.
- Ability to adapt quickly to evolving business requirements and regulatory changes, maintaining a proactive approach to model governance and ethical AI practices.

📌 Lead Data Scientist - Machine Learning (India)
🏢 Talent Pro
📍 India