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Want to work with a fintech focused on creating a fair finance system? Check out these job openings across the globe.
Head of Data Science Delivery
IT, Data Science
Chennai, Tamil Nadu, India
Posted on Sep 7, 2026
Designation : Vice President - Data Science Delivery
Experience :15+ years
Location : Chennai
Who we are?
M2P Fintech is a leading Banking Technology Platform, shaping the future of digital finance. Established in 2014 and headquartered in Chennai, we have a strong footprint across 30+ countries in Asia-Pacific, the Middle East & Africa (MEA), and Oceania.
At the forefront of next gen fintech, we drive innovation in banking, lending, and payments infrastructure. Powering global fintech transactions, our comprehensive technology stack enables seamless banking solutions, lending platforms, Buy Now Pay Later (BNPL) services, customized credit cards, prepaid cards, and more.
About this role
Our enterprise ML practice is active and growing, with live deployments across multiple customers. As our platform capabilities expand, we need a dedicated leader to own the delivery of these client-facing AI and ML solutions. This leader will ensure the successful execution of current commitments while identifying new opportunities to apply data science to solve critical business problems for our clients, working in close partnership with the AI/ML platform team.
What will you do in this role
Own Customer AI/ML Delivery: Take complete ownership of existing enterprise AI and ML customer commitments, ensuring zero disruption to live deployments and maintaining high levels of customer satisfaction.
Lead the Data Science Team: Lead and scale the data science and applied ML organization. Foster a culture of innovation, practical application, and business impact.
Drive Business Solutions: Work directly with enterprise customers and internal product teams to translate business needs into data science projects. Oversee the entire lifecycle from problem definition and model development to deployment and iteration.
Collaborate on Platform Needs: Act as a key stakeholder and primary internal customer to the AI/ML Platform Engineering team, providing critical feedback and requirements to ensure the platform meets the needs of the data science delivery function.
Represent AI/ML Capabilities: Serve as a subject matter expert in customer-facing conversations, articulating the value and application of our AI/ML solutions.
What You'll Need to be successful in this Role
15+ years of experience in data science or ML, with a meaningful portion in a leadership capacity focused on enterprise solution delivery.
Deep production-grade AI and ML experience with a proven track record of shipping AI-native products and data science solutions to external enterprise customers.
Experience leading client-facing data science or applied ML teams. Strong ability to manage project delivery, timelines, and stakeholder expectations under competing priorities.
Proven ability to translate complex business problems into concrete data science initiatives that drive commercial value.
Strong leadership and communication skills, with the ability to mentor data scientists and engage effectively with both technical and non-technical executives.
Perks and Benefits
Inclusive and People-First Culture.
Health & Wellness Programs.
Comprehensive Medical Insurance.
Recognition Programs.
Performance-based ESOPs.
Learning Opportunities.