Data Scientist

**Our Story**

Vegapay Technology is a financial technology company. It partners with banks and financial institutions to digitize its financial infrastructure. It provides users with a credit suite featuring a wide breadth of modules and no-code configuration to design, deploy, and direct their credit programs. It provides access to build financial asset products including Card Management System, LOS, LMS, Co-lending and more.

Founded in 2022 by Gaurav Mittal, Himanshu Agrawal and Puneet Sharma, the startup is a B2B digital lending and Card Management Platform. Vegapay’s vision is to liberate financial institutions and fintech enterprises from every technical barrier which hinders offering a lending programme.

**Meet the Team**
- Gaurav Mittal_ - Gaurav is the Co-Founder and the CEO of the company. He is having more than 20 yrs of experience and has worked with organisations like Zeta, Matchmove, MasterCard, Amex and ICICI Bank.
- Himanshu Agrawal_ - Himanshu is the Co-Founder and the Head of Technology. He is from IIT Kanpur and has more than 14 yrs of experience working with organisations like Amazon and DE Shaw.
- Puneet Sharma_ - Puneet is the Co-Founder and the Head of Product. He is from IIT Roorkee and has more than 10 years of experience working with organisations like BharatPe, Avail Finance

**Why This Role Matters**

We are seeking a **Principal Data Scientist/Engineer** who will play a pivotal role in shaping our data-driven strategy, building advanced machine learning solutions, and ensuring scalable data engineering practices. This role requires a strong foundation in **data science & ML**, hands-on expertise in **data engineering**, and a forward-looking approach toward emerging technologies.
- The Hats You Will Wear_
- Lead the design, development, and deployment of machine learning models for real-world business problems.
- Drive end-to-end data pipelines, from data ingestion and transformation to model serving and monitoring.
- Collaborate with cross-functional teams to define data strategies, ensuring high-quality, reliable data for analytics and ML use cases.
- Mentor junior data scientists and engineers, setting best practices in modeling, MLOps, and data engineering.
- Explore and evaluate emerging trends in Agentic AI and advanced ML techniques to incorporate into future product capabilities.
- Work closely with product and engineering leadership to align data initiatives with business goals.

**The Perfect Fit**
- Proven expertise in Data Science & Machine Learning (model development, deployment, and scaling).
- Strong experience in Data Engineering (ETL pipelines, data warehousing, distributed systems).
- Proficiency with Python, SQL, and ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.).
- Hands-on experience with cloud platforms (AWS, GCP, Azure) and big data technologies (Spark, Kafka, Databricks).
- Solid understanding of MLOps practices (CI/CD for ML, model monitoring, reproducibility).
- Excellent problem-solving, communication, and leadership skills.
- Your Edge Over the Rest_
- Exposure to Agentic AI frameworks and research in autonomous AI systems.
- Experience with LLMs, prompt engineering, and generative AI.
- Knowledge of advanced optimization and reinforcement learning.

**Why Vegapay?**

Joining Vegapay means becoming part of a mission-driven team that’s shaping the future of financial technology. You’ll work in a fast-paced, innovative environment with the opportunity to make a tangible impact on our products and the industry. We offer competitive compensation, opportunities for growth, and a collaborative work culture that values innovation, transparency, and excellence.