Visa: June Vacation Internship - Data Science (For Current Students) 2023

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:

• Degree in a quantitative field such as:

1. Computer Science,
2. Mathematics,
3. Statistics
4. Econometrics

• Students pursuing a Bachelor’s (Honors) or Masters Degree with a graduation date by end of 2023 or 2024
• Be available to pursue the internship June to September 2023 (Full-time)
• 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