Job Purpose
- 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 visualisation techniques, working closely with clients, data and technology teams to turn data into critical information used to make sound business decisions
Key Responsibilities/Accountabilities
- Assist the gathering of data for use in Data Science models, ensuring that chosen datasets best reflect the organisations goals.
- Performs data pre-processing including data manipulation, transformation, normalisation, standardisation, visualisation and derivation of new variables/features.
- Utilises advanced data analytics and mining techniques to analyse data, assessing data validity and usability; reviews data results to ensure accuracy; and communicates results and insights to stakeholders
- Assists various mathematical, statistical, and simulation techniques to typically large and unstructured data sets in order to answer critical business questions and create predictive solutions which drive improvement in business outcomes.
- Assists analytics and insights across the organisation by developing advanced statistical models and computational algorithms based on business initiatives
- Codes, tests and maintains scientific models and algorithms and identifies trends, patterns, and discrepancies in data and determines additional data needed to support insight.
- Processes, cleanses, and verifies the integrity of data used for analysis
- Use data profiling and visualisation techniques using tools to understand and explain data characteristics that will inform modelling approaches.
- Communicate data information to business with respective stakeholders, presenting trends, correlations and patterns found in complicated datasets in a manner that clearly and concisely conveys meaningful insights and defend recommendations under the supervision of data scientists
Preferred Qualification and Experience
- First Degree major in Computer Science, Statistics or Mathematics or Information Technology or related degree
- Practical academic experience in application and web development. Structured and Unstructured Query languages e.g. SQL, Python, C#, Java, C++, HTML
Knowledge/Technical Skills/Expertise
- Practical academic experience in application and web development. Structured and Unstructured Query languages e.g. SQL, Python, C#, Java, C++, HTML
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