Data Scientist

Job description

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

Type of Qualification

First Degree Field of Study: Information Studies Type of Qualification: First Degree Field of Study: Information Technology Experience Required Data Monetisation Data & Analytics 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. 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. Experience in technical business intelligence.

Knowledge of IT infrastructure and data principles. Project management experience. Experience in building models (credit scoring, propensity models, churn, etc.)

Behavioural Competencies

Adopting Practical Approaches Articulating Information Challenging Ideas Checking Things Examining Information Exploring Possibilities Interacting with People Interpreting Data Meeting Timescales Producing Output Providing Insights Team Working Technical Competencies: Data Analysis Database Administration Data Integrity Knowledge Classification Research & Information Gathering