Job Title: Data Scientist - Wealth Management / Retail Banking

Experience: 6 to 10 Years
Location: Pune / Bengaluru
Employment Type: Full-Time

About the Role

We are seeking a highly skilled and experienced Data Scientist to join our Data Platforms team. The ideal candidate will have strong expertise in Data Science, Machine Learning, Advanced Analytics, and AI-driven solutions, with hands-on experience in the Wealth Management or Retail Banking domain.

This role will focus on leveraging data to generate business insights, build predictive models, optimize customer journeys, enhance decision-making, and drive innovation across banking and wealth management products.

Key Responsibilities

• Develop, deploy, and maintain advanced machine learning and statistical models to solve complex business problems.
• Analyze large and complex datasets to identify trends, patterns, and actionable insights.
• Design and implement predictive analytics solutions for customer segmentation, churn prediction, cross-sell/up-sell opportunities, portfolio analytics, risk assessment, and client engagement.
• Collaborate with business stakeholders, product teams, platform engineers, and domain experts to translate business requirements into scalable analytical solutions.
• Build and optimize data pipelines and feature engineering frameworks to support model development.
• Monitor model performance and ensure continuous improvement through retraining and validation.
• Drive adoption of AI/ML best practices, model governance, and responsible AI principles.
• Communicate findings and recommendations to technical and non-technical stakeholders through presentations and visualization tools.
• Stay updated with the latest advancements in Machine Learning, Generative AI, and Banking Analytics.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field.
• 6 to 10 years of experience in Data Science, Machine Learning, Advanced Analytics, or Artificial Intelligence.
• Strong experience in Wealth Management, Private Banking, Asset Management, or Retail Banking domains.
• Proven track record of delivering end-to-end analytical solutions in production environments.

Technical Skills

Data Science & Machine Learning

• Strong knowledge of:
  • Supervised and Unsupervised Learning
  • Classification and Regression Models
  • Clustering Techniques
  • Time Series Forecasting
  • Recommendation Systems
  • NLP and Generative AI (preferred)

Programming

• Proficiency in:
  • Python
  • SQL
  • PySpark (preferred)

Machine Learning Frameworks

• Scikit-learn
• TensorFlow / Keras
• PyTorch
• XGBoost / LightGBM

Data & Cloud Technologies

• Hadoop/Spark ecosystem
• Databricks
• Azure/AWS/GCP (preferably Azure)
• Feature Stores and MLOps frameworks

Visualization Tools

• Power BI
• Tableau
• Advanced Data Storytelling techniques

Domain Expertise

Preferred experience in one or more of the following areas:

Wealth Management

• Portfolio Analytics
• Client Segmentation
• Investment Advisory Analytics
• Customer Lifetime Value
• Relationship Manager Effectiveness
• Asset Allocation Analytics

Retail Banking

• Customer Analytics
• Credit Risk Modeling
• Fraud Detection
• Customer Retention & Churn Analytics
• Personalization & Next Best Action Models
• Cross-Sell and Up-Sell Analytics

Desired Skills

• Experience with MLOps and model deployment pipelines.
• Exposure to Generative AI, Large Language Models (LLMs), and AI copilots.
• Strong problem-solving and analytical thinking skills.
• Excellent stakeholder management and communication abilities.
• Ability to work in a fast-paced, collaborative environment.

Why Join Us?

• Opportunity to work on large-scale data and AI initiatives.
• Exposure to cutting-edge Machine Learning and Generative AI technologies.
• Collaborate with global teams and business leaders in the Banking and Wealth Management domain.
• Drive strategic impact through data-driven innovation and advanced analytics.

Location: Pune / Bengaluru
Experience: 6-10 Years
Domain: Wealth Management / Retail Banking
Primary Skills: Data Science, Machine Learning, Advanced Analytics, Python, SQL, AI/ML, Banking Analytics, Databricks, Cloud Technologies.