Data Scientist

Experience: 2-5 years | Type: Full time | Location: Bangalore

About the Role

We're looking for a hands-on Data Scientist / MLE to help us build and deploy intelligent data systems. You'll work closely with the Head of Machine Learning to clean, analyze, and model data, and help operationalize models and customer datasets in production.

Key Responsibilities

1. Perform data analysis, feature engineering, and exploratory insights across business datasets.

2. Build and deploy ML models (classification, regression, ranking, anomaly detection, etc.).

3. Fine-tune and integrate LLMs (OpenAI, Hugging Face, LangChain, RAG pipelines).

4. Support model deployment in cloud / API environments (Docker, GCP).

5. Create dashboards, reports, and validation pipelines for model and data monitoring.

6. Collaborate with engineering on scalable data workflows and inference pipelines.

Type of Work We Do

Our core work lies at the intersection of data intelligence, risk modeling, and identity resolution. We build machine learning systems that understand user, order,



and return behavior across digital commerce environments. You’ll work on problems like:

1. Identity Resolution — connecting entities and related data points into unified customer identities.

2. Data Segregation and Clustering — cleaning, parsing, and geo-clustering data to reveal underlying structure.

3. Abuse and Fraud Detection — modeling behavioral and transactional risk signals to detect fraudulent activity and behavior.

4. Anomaly Detection and Scoring Pipelines — identifying irregular patterns across large customer datasets.

5. Operational ML Systems — deploying scoring APIs, automated feature stores, and monitoring pipelines at scale.

If you enjoy taking messy, high-dimensional business data and turning it into production-grade intelligence systems — you’ll fit right in.

Skills & Tools

1. Python (NumPy, Pandas, Scikit-learn, TensorFlow or PyTorch).

2. Experience with LLM frameworks (Hug

📌 Data Scientist (Bengaluru)
🏢 Pinch AI
📍 Bengaluru