Data Scientist

2 weeks ago

Cape Town, South Africa Momentum Metropolitan Holdings 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

Policy

We are committed to Employment Equity, diversity and inclusion when recruiting internally and externally. All appointments are made in alignment to our Employment Equity goals and we encourage people with disabilities to apply.

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