Visa: Internship
4 weeks ago
To support our rapidly growing group we are looking for Data Scientists who are equally passionate about the opportunity to use Visa’s rich data to tackle meaningful business problems.
Responsibilities:
- Be an out-of-the-box thinker who is passionate about brainstorming innovative ways to use our unique data to answer business problems
- Extract and understand data to form an opinion on how to best help our clients and derive relevant insights
- Working closely with teams across all regions in CEMEA to develop scalable and innovative big data and machine learning solutions
- Applying industry leading data science techniques to generate impactful insights for clients and to address real business problems
- Developing visualizations to conduct diagnostics and to connect ideas into well-grounded insights for scalable reporting using tools such as Tableau and PowerBI
- Performing data analysis on large and complex dataset using tools such as Python/SQL/Spark to provide actionable recommendations
Requirements:
- Students pursuing a Bachelor’s or Masters Degree with a graduation date in 2024 or 2025
- Degree in a quantitative field such as computer science, mathematics, statistics or econometrics
- Be available to pursue the internship June to August 2023
- Excellent communication, story-telling and presentation skills
Skills and Competencies:
- Extracting and aggregating data from large data sets using SQL/Hive or Spark
- Analyzing large data sets using programming languages such as Python, R, SQL, SAS and/or Spark and using development environments such as Jupyter Notebooks
- Generating and visualizing data-based insights in software such as Tableau
- Communicating data-driven insights and conveying actionable recommendations
- Managing and organizing work in Office software such as Word, Excel, PowerPoint and/or Teams
- Building predictive and descriptive statistical models using machine learning tool kit, Jupyter notebooks, Python, and/or SAS
- Data mining and statistical modeling (e.g., regression modeling, clustering techniques, decision trees, etc.)
- Superior analytical and financial analysis skills
- Strong collaboration skills with a diverse peer group required
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