Intern Data Engineer

• Work with large and complex datasets to develop comprehensive analysis from various data sources and categories (demographic, financial, credit bureau, transactional data, social media, digital, etc.) to understand relationships, patterns, and trends from data
• Develop statistical valuation and tracking methodologies for key initiatives to better understand consumer-product dynamics and contribute to the overall strategic decision-making
• Lever AI to improve the decision framework on critical decision across the bank
• Participate in the development, automation, monitoring and improvement of predictive models and machine learning algorithms

• Strong problem-solving and analytical skills and eagerness to learn new technologies and methods
• Currently enrolled as a final year student or recent graduates in actuarial science, mathematics, engineering, computer science, economics, or related quantitative field
• 1+ years of academic/work experience in statistics, computer science and/or financial analysis
• Basic programming and statistical analysis skills (experience with Python, Spark Tableau, SQL)
• Technical knowledge in testing, sampling, predictive modelling, machine learning, object-oriented Programming is preferred but not mandatory
• Leadership and interpersonal skills to generate synergies with cross-functional teams
• Self-organized, collaborative, proactive and creative
• Excellent verbal and written communication skills in both English and Spanish (English Intermediate Level)
• Conocimientos básicos de programación en SQL, Python, Pyspark, Excel. SAS

Technical knowledge in testing, sampling, predictive modelling, machine learning, object-oriented Programming

• Training and mentorship from leaders in the finance and data science industry
• Possibility to transition into a full-time role upon graduation