Data Science Intern

1 week ago

Centurion, South Africa Risk Management Full time

**Introduction**

Through our client-facing brands Metropolitan and Momentum, with Multiply (wellness and rewards programme), and our other specialist brands, including Guardrisk and Eris Property Group, the group enables business and people from all walks of life to achieve their financial goals and life aspirations.

**Role Purpose**

This is a data analytics internship with a focus on risk management and internal audit. This role is an excellent opportunity for recently qualified graduates to use their newly acquired academic background in the workplace. In this internship you will gain experience and exposure to risk management in Momentum Metropolitan and utilize your knowledge and skills to enhance our data analytics capabilities in risk management.

**Requirements**:

- Post graduate degree in Mathematics, Economics, Statistics, Engineering, Informatics or Computer Science field.
- No working experience is required.

**Duties & Responsibilities**
- Participate in projects, tasks, and activities related to data integration, data cleansing, descriptive and exploratory analyses, data mining, prototyping, and data visualisation.
- Work on initiatives which could include streamlining of reporting processes, data quality initiatives, or other small scale analytical projects.
- Extracting and manipulating data from one or more tool sources.
- Assists or support team members in resolving report issues or analysing trends within specific areas of Risk Management.
- Collaborate throughout the business to collect, store, access, and analyse data from a variety of sources.
- Responsible for gathering reporting requirements, writing technical specification and building reports to meet those requirements.
- Develop analytic capabilities that inform business decisions across Risk Management functions.
- Assist in developing models and simulations.
- Attend to any other ad hoc responsibilities assigned.

**Competencies**
- Technical Skills: Excel, R, Tableau, SQL, and Python
- Strong analytical skills
- Self-motivated & goal driven

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