Opportunities for data scientists?
I am a college student majoring in Environmental Science. I'm considering adding a second major of Data Science. However, I am wondering how many opportunities there are for data scientists that are not working for just any large company to help them maximize profits. For example, are there opportunities for data science in the renewable energy field, such as using data to problem solve/ figure out how to transition to renewable energy or similar topics? I am interested in environmental-related things but also any other interesting/ meaningful application of data science that I may not be aware of. Thank you for your time.
9 answers
Gregory’s Answer
You are about to embrace a brilliant career combining both environment science and data science majors ... for the benefit of the future generations. Multiple industries are actively searching for data scientist skills. The resources industry (mining, energy, utilities) is no exception; all the more that the energy transition is accelerating at pace and scale across the world. The importance of data science is becoming more and more critical with all countries in the world developing pledge toward carbon neutral and net zero horizons.
This major trend is accelerated by the growing number of connected devices, combined with IoT technologies such as sensors that collect more and more data. Data science is becoming a core capability in that field through artificial intelligence, data analytics, data mining, blockchain and machine learning technologies to derive actionable insights from the vast growing quantity of data. Data science stands to play a significant role in improving operational efficiencies, optimise workforce allocation, help reducing carbon & GHG emissions, produce cleaner energy, model equipment failure probability, predict & prevent outages, detect energy thefts, contribute to environmental research to name a few. In the utilities (water, power, gas) sector especially, the decentralization of the energy sources (wind, solar, EV, batteries, microgrids, hydro, biomass, etc.) creates greater impact on the grid. New advanced network management, flexibility and demand-response capabilities are getting developed to support the change. Once again, data science is at the heart of this evolving ecosystem. The best part of it? This is a global trend. This means not only local job opportunities, but truly international positions as well.
In term of companies and job opportunities, there are multiples avenues to consider depending on your own personal vision, career aspirations and of course desire to help develop clean energy. You may look at large international consulting companies (EY, Accenture, McKinsey, BCG, Deloitte, etc.), boutique or niche analytics companies, data science startups (Greenbird, Kaluza, etc.), established utility companies, engineering companies investing heavily in energy transition technologies (GE, Siemens, Schneider, ABB, etc.), large international companies with advanced data science capabilities (IBM, Microsoft, etc.), environmental research institutes, government agencies. etc. The list is endless. With no doubt all companies are looking for profits ... but not only with ESG & sustainability getting at the core of the government agenda across the world.
These are just a few examples and considerations. There is a LOT of literature available on that matter and I would encourage to read as much as possible. You may be interested by this post for instance: https://ayeshalshukri.co.uk/category/discourse/can-machine-learning-help-develop-clean-and-renewable-energy/. You may also look at how to contribute to global initiatives such as Time for the Planet.
The world is yours!
Sri’s Answer
Jigar’s Answer
In general, one thing that is good in the data science space is that once you know the data science concepts and are good at it, you should be able to work on a variety of different problems. So you should be able to take your skills where-ever you like. So, you should also focus on maximizing your learning and acquiring mastery on the subject. The stronger basics you have, the more easily you can work in different areas.
Atul’s Answer
Similarly, this skill set is needed for introducing new products whether it is a consumer products or pharmaceutical products.
BI and AI are critical part in today’s environment in any industry.
William’s Answer
These jobs are career options for a Data Scientist.
Data Analyst
Business Intelligence Developer
Cloud Infrastructure Architect
Statistician
Data Engineer
Data Scientist
Enterprise Architect
Applications Architect
Research Scientist
Actuarial Science
Machine Learning and AI
William’s Answer
Most business decision making used in Business Analytics are generated by Data Scientists.
Many ERP software used in businesses have data integration and analytics tools that are automated to suit business needs. You may be useful in that.
AI are used extensively in Environmental Science by integrating GIS data like the transportation monitoring in Google map navigation that suggest driving routes and traffic conditions are possible by integration of GIS spatial analysis data to AI.
Companies buy ready made data from research companies who.
Nadia’s Answer
Good idea to look at renewable energy companies. There are many; I invest in NextEra, for example. You should research the organizational culture to see where you would be happy using sites like Glassdoor.
Best of luck!!