Intern Data Scientist (temporary)

About the role:

If you want to improve your programming skills, gain experience on big data processing and train Machine learning models this may interest you.

With over 139 years in Mexico, Citibanamex is a leader in financial innovation, consistently ahead of the curve in Consumer Lending, with a deep commitment to serving our clients with high-quality financial products and services. Within the Center of Expertise (COE) of Advance Analytics, you will dive into a world where finance, risk management, business analytics, and data science intersect, offering an exciting and rewarding platform to kickstart your career while shaping the future of finance with a data-driven approach.

As a Data Science Intern, you will apply a variety of statistical techniques to measure high-impact strategies, promoting consumer growth, financial inclusion, and incremental revenue across Consumer Banking products. You will work with cross-functional teams (Pricing, Modelling, Risk, Product Management, Behavioral Economics, and more) and experienced professionals to learn from real-world industry problems. Our collaborative, proactive environment encourages creativity and values your insights, and will provide you with training and mentorship from leaders in the finance and data science industry. The role provides the possibility to transition into a full-time role upon graduation.

Key Responsibilities/Learning Opportunities:

• 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.

Requirements, skills and competencies:

• 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).

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Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

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