Head of Data Science, Managing Director
Join us as Head of Data Science and become part of our senior leadership team in Data Science & Innovation (DS&I) within Data & Analytics. You will develop new data products, leverage the bank’s data assets, and help embed data‑driven thinking and ways of working throughout the organization.
What you’ll do
As Head of Data Science, you will solve the most complex business problems, driving 6x ROI using data science methods and tools, while leading a team of data scientists and engineers.
- Product Owner of the bank‑wide data science platform and tools, driving adoption and usage across India, the Chief Digital and Information Office, and business teams.
- Lead and grow the bank’s Data Science Community of Practice, ensuring a steady flow of data talent into the bank.
- Own and drive a leading‑edge data research agenda, developing new intellectual property and publishing peer‑reviewed papers.
- Lead the India team of DS&I data scientists and engineers to explore and demonstrate new techniques.
- Create value across the business through transformational projects, delivering prioritised use cases and working closely with stakeholders.
- Build academic and industry networks to support the bank’s influence; act as the bank’s technical data science expert in India at industry forums and conferences.
- Lead India‑focused education, selling and embedding developments in data science across the bank.
- Lead the India Data Science Community of Practice, driving opportunities that support the bank’s strategic direction.
- Act as the pastoral lead for all DS&I resources in India.
- Advance the Indian data science research and experimentation agenda, deepening the bank’s understanding of leading‑edge analytical techniques, technologies, and tools.
- Build the bank’s brand in global data science communities to attract new talent.
The skills you’ll need
We’re looking for someone with deep experience deploying data science techniques in industry, including pragmatic implementation of AI solutions such as machine learning and generative AI, to drive transformational value.
- Ability to work with and influence business stakeholders and data science peers, using technical expertise and storytelling skills.
- Broad and deep understanding of banking across all franchises and functions, from both a business and data perspective.
- Experience deploying advanced data techniques including Python, Spark, and the AWS stack such as SageMaker and ECS across structured and unstructured data environments.
- Strong team management and development skills in a technically complex environment.
- Structured thinking and the ability to clarify and simplify complex ideas.
- A PhD in Data Science or related area and at least 10 years of industry experience.
Hours 45