Are you the sort of person who gets a kick using analytical thinking to systematically extract insights from a complex data in order to to build predictive models that make things work better?
If so, then a career as a Data Scientist might be for you.
The sort of person who is suited to this career path are those who:
- Develops mathematical and computer models, implements processes and systems to extract knowledge and insight across multi-disciplined fields (that combine financial theory, mathematical tools and computer programming, including: data mining, big data analysis, machine learning and artificial intelligence).
- Turns a flood of messy BIG DATA into information using algorithms and machine learning, by using their formidable skills in math, statistics and programming.
- Apply their analytic powers – such as industry knowledge, contextual under standing, skepticism of existing assumptions – to uncover hidden solutions to business challenges.
- Takes on projects to meet a particular customer or business needs as well as presenting their results using clear and engaging language.
- Develops and implements complex mathematical models that organisations use to make decisions about risk management, investments and pricing.
- Are involved in capturing and analyzing new sources of data, building predictive models and running live simulations of market events, by using a blend of statisticians, computer science and creative thinking.