Intern Data Scientist-6

hace 3 semanas

Tlahuac, México Citi A tiempo completo

**Responsibilities**:

- Incumbents work with large and complex data sets (both internal and external data) to evaluate, recommend, and support the implementation of business strategies
- Identifies and compiles data sets using a variety of tools (e.g. SQL, Access) to help predict, improve, and measure the success of key business to business outcomes
- Responsible for documenting data requirements, data collection / processing / cleaning, and exploratory data analysis; which may include utilizing statistical models / algorithms and data visualization techniques
- Incumbents in this role may often be referred to as Data Scientists
- Specialization in marketing, risk, digital and AML fields possible

**Qualifications**:

- Previous related experience preferred
- Have the ability to retrieve and manipulation data
- Working experience in a quantitative field
- Possess analytic ability and problem solving skills
- Excellent communication and interpersonal skills, be organized, detail oriented, and adaptive to matrix work environment

**Education**:

- Bachelors/University degree or equivalent experience

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

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.

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).
- **Job Family Group**:
Decision Management
- **Job Family**:
Specialized Analytics (Data Science/Computational Statistics)
- **Time Type**:
Full time
- Citi is an equal opportunity and affirmative action employer.

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.

View the "**EEO is the Law**" poster. View the **EEO is the Law Supplement**.

View the **EEO Policy Statement**.

View the **Pay Transparency Posting

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