Data Scientist (App)

About Snapmint:

Snapmint is a leading fintech company redefining access to consumer credit in India. With over 10 million customers across 2,200+ cities, our zero-cost EMI platform enables responsible purchases without the need for a credit card across categories like fashion, electronics, and lifestyle. India has over 300 million credit eligible consumers, yet fewer than 35 million actively use credit cards. Snapmint addresses this gap by offering a trusted, transparent alternative grounded in financial inclusion and ethical lending practices.

Founded in 2017, Snapmint is a profitable, high-growth company doubling year-on-year. Our founding team, alumni of IIT Bombay and ISB, brings deep experience from companies like Oyo, Ola, Maruti Suzuki, and has successfully built and exited ventures in ad-tech, patent analytics, and bank-tech.We are building the future of responsible consumer finance, simple, transparent, and customer-first.

Role Overview:

We are seeking a Data Scientist with 2–3 years of experience to build and deploy machine learning models in the customer analytics domain. 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:

→ User Behavioural Segmentation: Clustering users into distinct personas based on platform

activity and intent.

→ Personalized Recommendations: Developing collaborative and content-based filtering

systems for products or categories.

→ Dynamic UI/UX Personalization: Optimizing page layouts and content ranking to match

individual user preferences.

• Design experiments and A/B tests to measure the effectiveness of our 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 (consumer tech experience is a plus).

• Strong programming skills in Python, SQL.

• Experience with ML libraries (scikit-learn, XGBoost, LightGBM, TensorFlow, PyTorch, etc.)

• Deep understanding of clustering techniques, classification, regression and hypothesis testing.

• Experience working with large-scale data in cloud platforms (AWS, GCP, Azure).

• Strong communication skills with ability to simplify complex concepts for business stakeholders.