Job Summary We are seeking an experienced Senior Data Scientist – Client Analytics with strong expertise in Machine Learning, Deep Learning, Python, PySpark, SQL, and Azure Databricks. The ideal candidate will have hands-on experience developing and deploying scalable machine learning models for customer and marketing analytics, including Customer Churn Prediction, Customer Lifetime Value (CLV), Propensity Modeling, and Affinity Modeling . The candidate will work with the PeopleCloud Customer team, supporting a cloud-based Customer Data Platform (CDP) and Marketing Automated Operating System (MAOS). The role involves collaborating with global teams, working directly with clients, and delivering end-to-end data science solutions using advanced analytics and cloud technologies.

Key Responsibilities
- Analyze large volumes of customer, transaction, web analytics, and second
- and third-party data to identify meaningful business insights.
- Perform data extraction, preprocessing, cleansing, transformation, statistical analysis, and feature engineering.
- Design, develop, and implement scalable Machine Learning and Deep Learning models using Python, PySpark, Spark MLlib, TensorFlow, and Keras.
- Build and optimize end-to-end machine learning pipelines using Azure Databricks and Azure Data Factory (ADF).
- Develop customer and marketing analytics models, including:
- Customer Churn Prediction
- Customer Lifetime Value (CLV)
- Propensity Modeling
- Customer Affinity Modeling
- Customer Segmentation
- Apply predictive analytics techniques such as classification,



regression, clustering, and multivariate testing.
- Work with large-scale distributed databases and big data processing frameworks.
- Collaborate with business stakeholders, product teams, developers, QA, and delivery managers to understand business requirements.
- Own end-to-end implementation of data science solutions, from problem identification and data exploration to model development and delivery.
- Work directly with clients to translate business challenges into actionable analytical solutions.
- Support enhancements to the COSMOS Cognitive Marketing Intelligence Cloud Platform.
- Follow development best practices using Git, Jenkins, and CI/CD processes.
- Mentor team members and contribute to data science best practices. Required Technical Skills Programming & Data Processing
- Strong hands-on experience with Python, SQL, and PySpark.
- Experience working with large-scale datasets and distributed computing. Machine Learning & Deep Learning
- Strong knowledge of machine learning algorithms and predictive modeling.
- Experience with Spark MLlib, TensorFlow, Keras, and Deep Neural Networks.
- Hands-on experience with classification, regression, clustering,



statistical modeling, and data mining. Cloud & Big Data
- Experience with Azure Databricks and Azure Data Factory.
- Understanding of Microsoft Azure cloud infrastructure.
- Familiarity with AWS is an advantage.
- Experience designing scalable ML pipelines using big data principles. Customer & Marketing Analytics
- Experience developing Churn, CLV, Propensity, or Affinity models.
- Understanding of customer behavior, segmentation, and personalized marketing analytics. Development Tools
- Git and Jenkins.
- Understanding of continuous integration and version control practices. Qualifications
- 5–9 years of overall experience in Data Science, Machine Learning, or Advanced Analytics.
- Solid practical experience developing and implementing ML models.
- Experience delivering end-to-end predictive analytics solutions.
- Strong analytical and problem-solving skills.
- Excellent communication, stakeholder management, and client-facing skills.
- Ability to work independently and collaborate with distributed onshore and offshore teams.
- Master's degree in Computer Science, Mathematics, Physics, or equivalent education/professional experience. Mandatory Skills
- Python
- SQL
- PySpark
- Machine Learning and Predictive Modeling
- Azure Databricks
- Azure Data Factory (ADF)
- Customer Analytics / Marketing Analytics
- Churn / CLV / Propensity / Affinity Modeling

Skills:
marketing analytics,azure,machine learning

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