Posted on 29/03/2019 by Greg Clarke
Rabi graduated from Royal Holloway in London with a 2:1 in Mathematics. He joined MThree Alumni as a Production Support Trainee where he learned how to use SQL for database management. After the training, he secured a role in the global risk analytics team at an investment bank in London.
We caught up with Rabi to learn about his day and help you get a feel for what it’s like to work on data science projects in a global team.
Day in the life of a Data Scientist, Rabi
- 8:45 I arrive at the office, grab a coffee and a bowl of cereal from the canteen and settle in at my desk.
- 9:00 Catch up with my colleagues and wrap things up from the day before
- 10:00 We have our AM progress call with the Data Analytics and Visualisation teams in Edinburgh and India. On the call, we discuss any issues and answer questions they have on the data.
- 10:45 After the call, we update Jira and Confluence. Ticking off tasks and adding new priorities.
- 10:45-12:00 Time to crack on with the work discussed on the call. This could be fixing critical tasks by running SQL code or developing our data models.
- 12:00-13:00 Lunch time! I love working in London Bridge. Usually I wander around Borough Market and grab something from one of the food stalls.
- 13:00-14:00 Prepare for the PM progress call. This could be working with the team in India to fix data issues and checking the SQL code.
- 14:00-14:30 Our PM progress call. Usually much shorter than the call in the morning, we discuss what we’ve done, any issues, and blockers.
- 14:00-17:30 We spend the rest of the afternoon working closely with the Data Analytics and Visualisation teams. This could involve running workshops on Tableau to make sure the data is displaying correctly.
- 17:30 Put my laptop in the locker, and head to the Living Well gym around the corner.
- 18:30 Home time!
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