Jai Kisan - Data Scientist II - Python/Tensorflow (2-5 yrs)

About Jai Kisan :

At Jai Kisan, we're not just building a neo-bank - we're redefining the financial landscape in rural India. As a team of innovators and problem-solvers, we're transforming the way rural communities, farmers, and small businesses interact with money, providing them with the financial tools and opportunities they need to thrive.

Since our inception in 2019, we've developed a comprehensive financial ecosystem that addresses the unique needs of rural India.

From supply chain finance to our rapidly growing consumer lending product, we empower small businesses with access to credit

and a full suite of tailored financial services - including payments, savings, deposits, and insurance.

We're on an exciting journey of 10x growth, and we're looking for driven individuals passionate about building impactful solutions to join

us in shaping the future of rural finance in India. If you're ready to make a transformative impact, Jai Kisan is the place for you.

Designation : Data Scientist - II

Job Type : WFO (5 days)

Location : Bangalore, Karnataka

About the Role :

We are looking for a skilled Data Scientist with experience in the lending or fintech domain, particularly in underwriting processes. The

ideal candidate will have a strong foundation in data science, model operations, and analytics, with the ability to manage data pipelines and infrastructure effectively.

Key Responsibilities :

- Develop and deploy data models, focusing on underwriting and credit scoring.

- Build and maintain data pipelines, ensuring data quality and readiness for modeling.

- Work closely with the underwriting team to refine and improve credit risk models.

- Conduct in-depth analysis using statistical and machine learning methods to provide insights for decision-making.

- Collaborate with cross-functional teams to understand business needs and translate them into data solutions.

- Ensure effective model deployment and monitor performance through model ops and model infrastructure operations.

- Present findings and recommendations to stakeholders, ensuring alignment with business objectives.

Required Skillsets:

- Strong understanding of data science concepts and techniques.

- Experience with model operations (Model Ops) and model infrastructure operations.

- Expertise in data cleaning, transformation, and pipeline development.

- Solid knowledge of the lending space, including credit risk assessment and underwriting processes.

- Excellent stakeholder management skills with the ability to communicate complex insights.

Technical Skills :

- Proficiency in Python, including libraries such as Pandas, NumPy, Scikit-Learn, TensorFlow, and PyTorch.

- Experience with PySpark for big data processing.

- Familiarity with data visualization tools like Power BI, Tableau or Google DataStudio

- Experience in AWS/GCCP for serverless computing and model deployment.

Preferred Experience :

- 2-4 years of overall experience and 1-2 years of experience in the lending or fintech sector.

- Hands-on experience in developing underwriting models.

Why Join Us :

- Opportunity to work in a dynamic environment with a focus on innovation in the fintech industry.

- Collaborate with a highly skilled team to solve complex problems and make a real impact.

- Competitive compensation package and opportunities for professional growth.