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Head Data Science

Mumbai Permanent View Job Description
The incumbent will lead the adoption of AI/ML, Generative AI, and Agentic AI to create measurable business value-enhancing customer experience, unlocking cross-sell and up-sell opportunities, improving productivity, and strengthening fraud and risk management.
  • Shaping the Data Strategy of the Organisation
  • Work in a face paced Data-Led Environment

About Our Client

Our client is a Global Banking Setup

Job Description

Business Partnering & Influence:

  • Act as a strategic advisor to senior leadership, translating analytics and AI insights into clear priorities, decisions, and measurable business outcomes.



AI & Analytics Strategy:

  • Define and execute an enterprise analytics strategy that accelerates business growth, sharpens decision-making, and strengthens fraud analytics.



GenAI & Agentic AI Innovation:

  • Lead the design and deployment of Generative AI and Agentic AI solutions that reimagine customer journeys, reduce operational toil, improve productivity, and enable smarter data-led decisions.



Analytics Capability Development:

  • Build a high-impact analytics team by embedding modern tools, reusable frameworks, agile delivery practices, and continuous upskilling in AI, data science, and governance.



Data Architecture & Governance:

  • Work closely with Group Technology and Data Engineering to ensure scalable, secure, and well-governed data pipelines and architecture aligned to the bank's enterprise data strategy.

The Successful Applicant

Technical & Analytical Expertise:

  • Expert-level proficiency in Python and PySpark for large-scale data processing, advanced model development, and automation.
  • Demonstrated success in taking GenAI and Agentic AI use cases from concept to production, with clear value realisation.
  • Strong understanding of data architecture, data pipelines, MLOps, and model deployment frameworks in enterprise environments.

Banking & Business Acumen:

  • Deep knowledge of retail and institutional banking products, customer lifecycles, economics, and profitability levers.
  • Proven ability to lead data-led transformation and deliver commercial, customer, risk, and productivity outcomes in banking or financial services.

Leadership & Stakeholder Skills:

  • Exceptional stakeholder management, influencing, storytelling, and executive communication skills.
  • Track record of building, inspiring, and developing high-performing analytics and AI teams.

Qualifications:

  • Postgraduate qualification in Data Science, Computer Science, Statistics, Engineering, or a related quantitative discipline.
  • 15+ years of experience in data analytics, AI, or digital transformation, ideally in banking or financial services.
  • Hands-on exposure to enterprise-scale AI/ML production deployments, responsible AI practices, and AI governance frameworks.



What's on Offer

  • A chance to lead a data science team in the business services industry.
  • Opportunities to work on impactful data-driven projects.
Quote job ref
JN-092026-7110126

Job summary

Function
Analytics
Sub Sector
Machine Learning
What is your area of specialisation?
Financial Services
Location
Mumbai
Job Type
Permanent
Job Reference
JN-092026-7110126

Diversity & Inclusion at Michael Page

We don't just accept difference - we celebrate it. We encourage applicants from all backgrounds to apply for this role and are committed to building inclusive, diverse workplaces where everyone can thrive. If you require any support or reasonable adjustments during the recruitment process, please let us know.