Explore and exploit business data to understand and improve business performance
Carry out effective analysis and reports to improve customer data visibility to the business through compelling insights and innovative reporting techniques
Apply R or Python to develop and optimise statistical models to predict risks, customer behaviours and profitability
Utilise Big Data to identify opportunities for growth and generate meaningful insights to drive strategic decision making
A Data Scientist build Machine Learning (ML) and Artificial Intelligence (AI) Algorithms from Data. They apply a combination of programming tools and statistical techniques to Big Data. Data Scientists are familiar with Big Data platforms in order to be able to combine these with Machine Learning tools such as Python and R to build predictive models on stream data, i.e. Data in Motion.
Professionals at this level will develop data mining skills with the main aim of supporting businesses to take control of their marketplace by using advanced statistical intelligence to understand their market drivers, why customers act the way they do. They will be able to build the profile of what, who and why of customers actions. As a Data Scientist, you will build predictive models and lead their implementations for strategy. You will be a valuable asset in the analytics community, and in the business you work for, for the deep insight you bring to decision making.