Data Scientist

About Snapmint:

India’s booming consumer market has over 300 million credit-eligible consumers, yet only 35million actively use credit cards. At Snapmint, we are building a better alternative to credit cards that lets consumers buy now and pay later for a wide variety of products, be it shoes, clothes, fashion accessories, clothes or mobile phones. We firmly believe that an enduring financial services business must be built on the bedrock of providing honest, transparent and fair terms.

Founded in 2017, today we are the leading online zero-cost EMI provider in India. We have served over 10M consumers across 2,200 cities and are doubling year on year. Our founders are serial entrepreneurs and alumni of IIT Bombay and ISB with over two decades of experience across leading organizations like Swiggy, Oyo, Maruti Suzuki and ZS Associates before successfully scaling and exiting businesses in patent analytics, ad-tech and bank-tech software services.

Role Overview:

We are seeking a Data Scientist with 2–3 years of experience to build and deploy machine learning models in the fintech domain. The role involves working on credit risk, fraud detection, and customer analytics using advanced statistical techniques and scalable data platforms. The ideal candidate should demonstrate strong technical proficiency and the ability to translate data insights into actionable business outcomes.

Key Responsibilities:

• Build, deploy, and maintain machine learning models for:

Credit underwriting & credit scoring

Fraud detection & transaction monitoring

Customer lifetime value prediction

Pricing & offer personalization

Collections optimization

• Design experiments and A/B tests to measure the effectiveness of BNPL products and features.
• Conduct exploratory data analysis to identify business insights and opportunities.
• Collaborate with data engineering to ensure robust data pipelines, feature stores, and model monitoring systems.
• Translate complex data science solutions into actionable business recommendations.
• Continuously improve model accuracy, fairness, and interpretability.

Requirements:

• Bachelor’s degree in Engineering
• 2-3 years of experience in data science or machine learning (fintech or financial services is a plus).
• Strong programming skills in Python, SQL. Experience in Java is a plus.
• Experience with ML libraries (scikit-learn, XGBoost, LightGBM, TensorFlow, PyTorch, etc.)
• Familiarity with risk modeling, credit scoring techniques, and time series forecasting.
• Understanding of statistical techniques like hypothesis testing, regression, clustering, survival analysis, etc.
• Experience working with large-scale data in cloud platforms (AWS, GCP, Azure).
• Strong communication skills with ability to simplify complex concepts for business stakeholders.

Location: Bangalore

Working days: Monday - Friday