The traditional route is through an HR partner where they do the first level of screening. HDFC bank is also experimenting with hackathons for hiring data scientists. Apart from this, the team also reaches out within its professional network for sourcing talent.
Data science function in banks has a crucial role to play in various use cases such as fraud detection, managing customer data, risk modelling, personalised marketing, among others. HDFC bank is no exception and is exploring the new tech in a lot of its applications and functions. With two teams where data science is at the core of their work — marketing analytics and risk analytics — the bank mostly has a centralised data science team. For this week’s feature, we got in touch with Kausik Ghate, Sr. Vice President and Head, Marketing Analytics at HDFC bank to understand the hiring process of data scientists in its team.
Kaushik shared that they look for a whole lot of qualities while recruiting data scientists. Firstly, the incumbent should have a quantitative educational background in fields such as statistics, economics, mathematics, engineering, etc. “Having said that we also have management students, graduates, econometricians in the team. While the educational background is important, it will not restrict a deserving candidate to get a place on the team,” shared Kaushik.
He further added that there are things that can be taught and things that can’t be taught. The latter ones play an important role in recruitment decisions.
Data Science and Analytics market evolves to adapt to the constantly changing economic and business environments. Our latest survey report suggests that as the overall Data Science and Analytics market evolves to adapt to the constantly changing economic and business environments, data scientists and AI practitioners should be aware of the skills and tools that the broader community is working on. A good grip in these skills will further help data science enthusiasts to get the best jobs that various industries in their data science functions are offering.
They say, the first impression is the last, and thus resumes are the first impression of any professionals including data scientists while searching for a job.
The agenda of the talk included an introduction to 3D data, its applications and case studies, 3D data alignment and more.
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