Data Scientist

To assist in applying data mining techniques and conduct statistical analysis to large, structured, and unstructured data sets to understand and analyse phenomena. Model business problems, discovering insights and opportunities through statistical, algorithmic, machine learning and visualization techniques, working closely with clients, data, and technology teams to turn data into critical information used to make sound business decisions.

• Assist with gathering of data for use in Data Science models, ensuring that chosen data sets best reflect the organizations goals.
• Perform data pre-processing including data manipulation, transformation, normalisation, standardisation, visualisation, and derivation of new variables/features.
• Utilise advanced data analytics and mining techniques to analyse data, assessing data validity and usability; reviews data results to ensure accuracy; and communicate results and insights to stakeholders.
• Assist various mathematical, statistical, and simulation techniques to typically large and unstructured data sets to answer critical business questions and create predictive solutions which drive improvement in business outcomes.
• Code, test, and m...