Posts
Head of Accenture's global applied intelligence team that comprises around 20,000 people including 3000 data scientist, Athina Kanioura prefers recruiting economists with strong technology background for the data scientist profile.
"We have a lot of economists with a very strong technical background. And for me, that's a perfect combination. So, if you were to identify from the specific school, this combination between business and technology is a perfect fit to become a leading data scientist," says Athina Kanioura, Chief Analytics Officer and Global Lead for Applied Intelligence, Accenture.
She further informs, "If you have people with economics or social science background, and you pair them with the data scientists, it is an extremely powerful profile. In India, we were very lucky when we started the capabilities long back."
The global technology and consulting major hires a lot of students from the Delhi School of Economics -- a centre of postgraduate learning of the University of Delhi as they have strong mathematics and statistics foundation along with the acumen to solving the global business problem...
"We call this a hybrid between data science and Machine Learning (ML) engineering. Within our data science capability, we have people that we call purists. The data scientists that formulate the problem and ML engineers that industrialize the models, both have a similar background. It is just that one is slightly stronger in engineering and computer science and the other one is stronger in maths and statistics," she opines.
Read more...
Source: ETCIO.com
