The Lead Data Scientist is responsible for identifying business needs and delivering impactful data-driven solutions through advanced analytics and machine learning. This role involves building analytical models, developing test strategies, and supporting senior analysts in achieving business outcomes. The Lead Data Scientist also plays a key role in leading technical teams, driving innovation, and ensuring seamless deployment of machine learning systems across environments.
Key Responsibilities
Primary Responsibilities
• Lead the design and development of advanced ML/AI models for credit risk, fraud detection, churn prediction, and customer personalization.
• Translate complex data science outputs into business insights and strategic recommendations for senior management.
• Oversee end-to-end model lifecycle — from problem definition, data preparation, model building, validation, to deployment.
• Ensure models comply with regulatory requirements and internal governance standards.
• Collaborate with product, risk,
and business teams to identify high-impact use cases for AI/ML.
• Mentor and guide junior data scientists, reviewing their work and building best practices in modeling.
• Partner with data engineering teams to design scalable pipelines and enable real-time model deployment.
• Drive adoption of recent techniques such as deep learning, NLP, and Generative AI for banking use cases.
• Establish model monitoring frameworks to track performance and mitigate risks.
• Contribute to strategic data initiatives like enterprise AI platforms, data lake integration, and advanced analytics adoption.
• Collaborate on the MLOps lifecycle, including model tracking, experimentation, and automation.
• Implement frameworks to ensure data quality and reconciliation checks are transparent and consistent.
Secondary Responsibilities
• Provide technical expertise and lead process improvement initiatives.
• Supervise support resources for contract
📌 Lead Data Scientist (Bengaluru)
🏢 IDFC FIRST Bank
📍 Bengaluru
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