Senior Data Scientist

Key Accountabilities

1. Forecasting & Planning

• Develop models for balance sheet and P&L forecasting
• Build driver-based and scenario forecasting models
• Improve forecast accuracy and reduce manual adjustments

2. Profitability & Optimization

• Analyze profitability across customers, segment, product, channel
• Optimize pricing, marketing spends, and capital allocation

3. Customer & Business Decisioning

• Develop models: churn, CLTV, next-best-action, cross/upsell
• Support business teams with actionable insights
• Improve commercial effectiveness and productivity

4. Analytical Products & Automation

• Build reusable Data pipelines, ML pipelines, feature sets
• Develop dashboards and decision-support tools
• Automate reporting, analysis, insight generation

Key Relationships - Internal Stakeholders

Members of Business and Data & Analytics Division, Enabling Data & Analytics Division (IT or Data - Engineer/Governance), BAU division heads (Business, Finance, Risk, Corporate Affair, IT)

Key Relationships - External Stakeholders

Partners and vendors providing professional services

Success Profile - Qualification and Experiences

• Strong background in Data Science / ML / Quantitative Analytics
• Proficient in Python, SQL, Spark
• Experience in Forecasting (time series), Causal inference, experimentation, Model validation & explainability
• Experience with data pipelines, ML pipelines, MLOps
• Strong business translation and stakeholder management
• Clear, concise communication of insights