Case Studies: Data Science careers

Dr Kim Nilsson, Pivigo:

Kim is an Astrophysics PhD turned Entrepreneur. She is the CEO of Pivigo, an organisation focused on supporting analytical MScs and PhDs in their career transitions into data science roles. She is passionate about people, data and connecting the two.

Kim realised that, despite being a Hubble astronomer, academia was not for her.  She undertook an MBA and worked briefly in financial services before setting up her own company.  Pivigo helps researchers gain commercial experience that will help them into a data science career.

On the day she spoke, there were 4003 jobs on LinkedIn with the title ‘data scientist’.  A starting salary will be £35-£50k.  The different sectors include commerce, operations, consumer marketing, local government and charities.

Key skills include Python, R and Java.  You need to have curiosity and scepticism, and ability to communicate and some business awareness.  Your CV needs to show HOW you apply your data skills to problems.

Check out MOOCs on Coursera, competitions on Kaggle or create your own data challenge!

Dr Ana Costa e Silva, TIBCO:

Ana has 15 years experience with data, undergraduate studies in Business and a PhD in computer science (AI) from the Edinburgh University. She has previously been a manager economic statistician for the Statistics department of the Portuguese Central Bank and a researcher of the inner workings of the global stock market for Edinburgh Partners.

Ana’s company helps businesses understand their data and start to respect their customers.  Her data analysis helps to optimise pricing, check for fraud, re-route transport (eg container ships avoiding storms and finding available docking).  She helps the engineers in the company make their products look better (eg in oil and gas, optimising engineering tools, and in healthcare, getting sensors to call nurses when there are changes in patient data).  One client was a casino company, MGM Resorts, and they looked at historic data to see which punters had not yet lost too much money: these people were texted with offers at other entertainment places and then encouraged back, as data demonstrated that people who had not lost too much were more likely to come back and spend more money.

Dr Zach Izham, Hewlett Packard Enterprise

Zach has a PhD in Mechanical Engineering and after several roles in aero-engineering, is now responsible for designing, implementing and testing solutions for data analytics and machine learning for clients in insurance/ banking/automotive industries and also governmental agencies from a ‘data science’ perspective.

He talked about why he left academia, citing the main reason as being that it would not be possible to earn enough money.  He works for HPE where he helps businesses leverage their data to run a more efficient business.  Issues he encounters are where servers don’t talk to each other and he has to find solutions to problems.  He encourage attendees to be picky about the business they choose to work in and consider starting their own business.

He says that AI becomes Machine Learning when it is mainstream, such as the self-driving car.

Interesting courses include Andrew Lung’s Coursera course and you should check out SiliconMilkRoundabout (jobs fair for tech people).