Visa Data Science for current students in South Africa Internship 2023
The Data Science Internship Programme 2023 is recruiting and inviting current South African students to apply.
Location: City of Johannesburg, Gauteng, South Africa
Job purpose
With Visa’s rapidly expanding team, we are currently seeking Data Scientists who are equally passionate about tackling meaningful business problems with Visa’s rich data.
Visa Data Science for current students in South Africa Internship 2023
Responsibilities
- We are looking for an out-of-the-box thinker who has a passion for finding innovative ways to use our unique data for business success
- Derive relevant insights and opinions about our clients from extracting and understanding data
- Developing innovative and scalable big data and machine learning solutions with teams across all regions in CEMEA
- Generating insight for clients and addressing real business challenges using industry-leading data science techniques
- Utilizing tools such as Tableau and PowerBI to develop visualizations for diagnostics and scalable reporting.
- Provide actionable recommendations by analyzing large and complex datasets with tools such as Python/SQL/Spark
Qualifications
- Graduating students in 2023 or 2024 with a Bachelor’s (Honors) or Master’s degree
- Mathematics, statistics, computer science, or econometrics degree
- The internship will run from June to September 2023 (full-time).
- Communicates effectively, tells stories well, and presents well
Preferred qualifications
- Data extraction and aggregation from large data sets using SQL/Hive and Spark
- Jupyter Notebooks, Python, R, SQL, SAS, and/or Spark are used to analyze large data sets
- Using software such as Tableau to generate and visualize data-based insights
- Delivering actionable recommendations based on data-driven insights
- Using Office software tools like Word, Excel, PowerPoint, and/or Teams to manage and organize work
- A machine learning tool kit, Jupyter notebooks, Python, and/or SAS are used to build predictive and descriptive statistical models
- Statistical analysis and data mining (e.g., regression modeling, clustering, decision trees).
- Ability to perform superior financial and analytical analyses
- A strong ability to collaborate with a diverse group of peers is required
- Getting buy-in and agreement from key stakeholders by effectively communicating viewpoints
- Possess self-confidence and hands-on experience, as well as the ability to adapt to a fast-paced and constantly changing work environment
Additional information
In accordance with EEOC guidelines and applicable local laws, Visa will consider qualified applicants with criminal histories for employment.
