Gurugram, Haryana, India
Information Technology
Full-Time
Hansa Cequity
Overview
About The Role
We're looking for a Senior Data Scientist with hands-on experience in machine learning, GenAI, and cloud platforms to solve real-world problems in the BFSI/Insurance space. You'll work with a collaborative team to build and deploy models that drive business impact - from fraud detection and churn prediction to customer segmentation and unstructured data analysis.
What You'll Do
We're looking for a Senior Data Scientist with hands-on experience in machine learning, GenAI, and cloud platforms to solve real-world problems in the BFSI/Insurance space. You'll work with a collaborative team to build and deploy models that drive business impact - from fraud detection and churn prediction to customer segmentation and unstructured data analysis.
What You'll Do
- Build ML models (XGBoost, Neural Networks, Random Forests) for classification, regression, anomaly detection, and more.
- Use unsupervised learning techniques for segmentation, clustering, and cohort creation.
- Apply LLMs and GenAI for insights from unstructured data (e.g., call transcripts, agent notes).
- Deploy solutions on cloud platforms (preferably AWS) using tools like Databricks, SageMaker, Lambda, Docker, etc.
- Implement MLOps best practices - versioning, CI/CD, monitoring.
- Collaborate with business teams to translate models into insights that matter.
- 5+ years of experience in data science roles.
- 1-2 years working in BFSI or Insurance domain.
- Proficient in Python, SQL, Databricks.
- Strong understanding of ML fundamentals including optimization techniques like gradient descent.
- Experience with GenAI/LLMs (nice to have).
- Cloud experience (AWS preferred) with exposure to end-to-end model deployment.
- Great communication skills and a problem-solving mindset.
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