A Day in the Life of a Data Scientist

Home / Events / Careers Talks / A Day in the Life of a Data Scientist

A Day in the Life of a Data Scientist

Join us for an insightful session with Dr. Souratosh Khan as he takes you behind the scenes of a Data Scientist’s daily life. Discover the key responsibilities, challenges, and team collaborations that define this dynamic role.

Dr. Souratosh Khan
- My Current Time Zone - America/Detroit
- United Kingdom, London
- America/Detroit
- American Samoa, Pago Pago
- Argentina, Buenos Aires
- Australia, Melbourne/Sydney
- Bangladesh, Dhaka
- Brazil, Rio de Janeiro
- Canada, Vancouver
- Canada, St. John's
- Chile, Santiago
- Chile, Easter Island
- China, Beijing
- Egypt, Cairo
- Fiji, Suva
- France, Paris
- French Polynesia, Marquesas Islands
- Greece, Athens
- India, New Delhi
- Indonesia, Jakarta
- Iran, Tehran
- Japan, Tokyo
- Kenya, Nairobi
- Mexico, Mexico City
- Nepal, Kathmandu
- New Caledonia, Nouméa
- New Zealand, Auckland/Wellington
- Peru, Lima
- Portugal, Azores
- Russia, Vladivostok
- Saudi Arabia, Riyadh
- Singapore, Singapore
- South Korea, Seoul
- Sri Lanka, Colombo
- Thailand, Bangkok
- Tonga, Tongatapu
- Turkey, Istanbul
- UAE, Dubai
- United States, Denver
- United States, Honolulu
- United States, New York
Wed 24 Sep 2025
13:00 - 14:00 EDT
Online

Book event / Sign up

Event description

Discover what a typical day entails for a Data Scientist, including daily tasks, challenges, and collaborative efforts with various teams. Dr. Souratosh Khan will discuss his career journey, offering insights into the experiences and skills that paved his way to becoming a successful Data Scientist. Learn about the essential skills required for the role, such as critical thinking and attention to detail, and how the Certificate in Quantitative Finance (CQF) can enhance these abilities.

Speaker

Dr. Souratosh Khan

Souratosh Khan holds a PhD in Physics from the University of Arizona where he studied optoelectronic processes in organic solar cells. He has also worked as a post-doctoral researcher at the School of Information, University of Arizona, studying statistical methods to quantify uncertainty, graph algorithms for model analysis, and stochastic models to predict food insecurity. He currently works as a data scientist within the Commercial & Investment Banking division at JP Morgan where he uses traditional NLP models as well as LLMs to solve problems in operational risk management. He has been at the forefront of developing AI/ML products that assess the impact of regulations and other legal artifacts on the bank’s businesses. He has also worked in equity research, designing recommender systems for portfolio construction by analyzing the behavioral and investing patterns of portfolio managers. He is an alumnus of the CQF program graduating in 2024 and the recipient of the Wilmott Award.