Hansa Customer Equity - Senior Data Scientist

Description:

About the Role

Were 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 Youll 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

What You Bring:

- 8+ years of experience in data science roles

- 4+ 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