Chief Data Innovation Officer

About the Team

We are a cutting-edge Data Science team that plays a pivotal role in crafting intelligent solutions that power our products and drive business impact. We work across key domains such as lending, collections, KYC, UPI growth, and ads recommendation, applying advanced machine learning/deep learning techniques to solve high-impact challenges. Our work involves a diverse range of data types—including text, image, and tabular data—and we closely collaborate with cross-functional teams like Product, Business, Engineering, etc., to deliver end-to-end solutions.

About the Role

As a Data Scientist 3, you'll be an integral part of a team that's building scalable and efficient solutions across lending, insurance, investments, and UPI. You won't just be solving predefined problems—you'll identify the problems and create innovative solutions for getting high business impact. This role offers the opportunity to lead high-impact data science initiatives that directly influence strategic business decisions. It involves working at the intersection of advanced machine learning, large-scale data processing, and cross-functional collaboration, with a focus on building scalable solutions and fostering a culture of technical excellence and innovation within the team.

Key Responsibilities

• Drive end-to-end delivery of high-impact data science initiatives, from conception and prototyping to large-scale deployment, ensuring alignment with business goals and measurable outcomes.
• Engage and influence stakeholders across Product, Engineering, Business, and Executive teams, shaping problem definitions and championing data-driven decision making.
• Demonstrate deep expertise across machine learning and deep learning concepts, setting technical direction and solving highly complex, ambiguous problems.
• Architect and deliver solutions across diverse data types—tabular, text, image, and speech—leveraging cutting-edge models and best practices to drive business value at scale.
• Experiment with emerging algorithms and technologies, fostering a culture of innovation and staying ahead of industry trends, especially in the fintech domain.
• Establish and uphold best practices for model validation, monitoring, performance tracking, and risk management in production environments, ensuring reliability and compliance.

Requirements

• Bachelor's or higher degree in Computer Science, Electrical Engineering, or a quantitative field, with a demonstrated research mindset and 5+ years of relevant experience.
• Deep understanding of modern machine learning techniques, underlying mathematics, and hands-on experience with key ML frameworks (such as scikit-learn, Keras, TensorFlow, PySpark, MLlib, etc.).
• Strong foundation in statistics, machine learning (e.g., Random Forests, XGBoost, SVMs), and inference techniques, with expertise in hypothesis testing, simulations, and optimization methodologies.
• Proven experience working with distributed computing platforms for large-scale data processing and model training.
• Strong programming skills, preferably in Python, Scala, or similar languages.
• Demonstrated ability to drive large-scale machine learning projects end to end—from problem formulation and data preparation to deployment and monitoring.
• Proven track record of delivering high business impact through data science solutions in previous roles.

What We Offer

We are shaping the future of financial services for a billion Indians through products that are simple, accessible, and affordable. From Personal & Home Loans to UPI, Insurance, Mutual Funds, and Gold—we're building tech-first solutions that work at scale, with a strong customer-first approach.

We chase excellence by uplifting each other—and that starts with every one of us.

Our Values

• Ambition: We dream big when it comes to innovation.
• Perseverance: We stay committed to our goals and objectives.
• Self-awareness: We understand our strengths and weaknesses.
• Ownership: We take responsibility for our actions and outcomes.
• Integrity: We operate with transparency and ethics.