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.
Qualifications
Qualification
Information Studies or Information Technology Degree
Experience
3-4 years Experience in working with unstructured data (e.g. Streams, images), understanding of data flows, data architecture, ETL and processing of structured and unstructured data
Using data mining to discover new patterns from large datasets, implement standard and proprietary algorithms for handling and processing data
Experience with common data science toolkits, such as SAS, R, SPSS, etc and experience with data visualisation tools, such as Power BI, Tableau, etc
3-4 years Proven development experience in software and software engineering
Understanding of financial services data processes, systems, and products and experience in technical business intelligence
Knowledge of IT infrastructure and data principles, project management experience and experience in building models (credit scoring, propensity models, churn, etc.)
Additional Information
Behavioural Competencies
Adopting Practical Approaches
Articulating Information
Challenging Ideas
Checking Things
Examining Information
Technical Competencies
Data Analysis
Data Integrity
Database Administration
Research and Information Gathering
Knowledge Classification
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