Job Description
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
Experience
- Proven experience in Machine Learning and AI
- Proven experience in Python development.
- Understanding of financial services data processes, systems, and products. Experience in technical business intelligence.
- Knowledge of IT infrastructure and data principles.
- Experience in building models (credit scoring, propensity models, churn, etc.).
- Experience in working with unstructured data (e.g. Streams, images)
- Understanding of data flows, data architecture, ETL and processing of structured and unstructured data.
- Experience with common data science toolkits, such as SAS, R, SPSS, etc.
- Experience with data visualisation tools, such as Power BI, Tableau, etc.
Behavioural Experience
- Providing Insights
- Examining Information
- Articulating Information
- Exploring Possibilities
- Interpreting Data
Technical Experience
- Python Programming and Modelling
- Working knowledge of ML DevOps
- Research and Information Gathering
- Data Analysis
- Database Administration