We are looking for an experienced Senior Data Scientist with solid expertise in predictive modelling, machine learning, and customer analytics.

Skills Required:

- Strong hands-on experience in Python, SQL, and PySpark

- Expertise in Machine Learning algorithms, including classification, regression, clustering, and predictive modelling

- Practical experience with Spark MLlib, TensorFlow, and Keras

- Experience with Azure Databricks and Azure Data Factory (AWS experience is also relevant)

- Knowledge of customer analytics, including churn prediction, Customer Lifetime Value (CLV), propensity modelling, and customer segmentation

- Experience building and deploying scalable ML pipelines

- Exposure to MLOps, model monitoring, Git, and CI/CD

- Strong analytical, problem-solving, and stakeholder communication skills

What we re looking for:





A hands-on Data Scientist who has built and deployed machine learning models using large-scale customer or transactional datasets and can translate analytical insights into business outcomes.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

Role: Data Scientist, Industry Type: Emerging Technologies, Department: Data Science & Analytics, Employment Type: Full Time, Permanent Role Category: Data Science & Machine Learning Education UG: Any Graduate PG: Any Postgraduate Key Skills AnalyticalSQLMonitoringPythonMachine learningGITcustomer analyticsPredictive modelingcustomer segmentationDeployment

📌 Senior Data Scientist - Client Analytics (Bengaluru)
🏢 Zorba consulting
📍 Bengaluru