Data Scientist

2 weeks ago


Cape Town, South Africa Metropolitan Life Full time

**Introduction**

Metropolitan is one of the oldest financial services brands in South Africa. With a 116-year legacy of serving the communities in which it operates, Metropolitan represents true empowerment in serving Africa’s people through affordable financial solutions that create financial growth and security.

**Role Purpose**

Gather, analyse and interpret data from various sources, extract insights in a clear, precise and actionable manner. Develop statistical and predictive models and present findings in an easily understandable way for both technical and non-technical audiences. Implement models within existing business processes to extract efficiencies and improve the management of our solutions.

**Requirements**:

- Degree in Mathematics, Actuarial Science, Computer Science, Data Science, Statistics or similar
- 2+ years’ experience as a data scientist/analyst or related field (essential)
- Understanding of machine learning (ML)/artificial intelligence (AI)
- Experience in modelling software such as R
- Experience in data analysis and visualisation tools (e.g. SQL, Qlikview, PowerBI etc.)

**Duties & Responsibilities**
- Gather data from various sources, analyse data (mining and exploration) and interpret patterns and trends.
- Extract insights and recommend appropriate actions through statistical modelling and data analysis.
- Manage and continuously improve model performance to maximise business value.
- Work closely with other BI/Analytics teams to identify opportunities (data sources) and give input to data solutions and implementation roadmaps.
- Work closely with IT teams to deploy and maintain models in production environments.
- Produce documentation such as source-to-target-maps, data dictionaries and data models.
- Promote the use of existing data standards to enhance data quality, ensure constant compliance and adherence to data governance principles.
- Promote reusability, maintainability, reliability, and scalability in design and development of data models and solutions.
- Pro-active in suggesting for opportunities as well as making analytical observations on any aspect that would be beneficial to business.

**Competencies**
- Business acumen
- Data mining and statistical modelling
- Advanced pattern recognition and predictive modelling experience
- Modelling in either R or Python
- Data extraction (SQL)
- Advanced Excel
- Data visualisation
- Data analysis


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