**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.
Estará trabajando en la ejecución de requerimientos y análisis de resultados de estrategias. También, trabajará en el desarrollo de modelos de machine learning.
Entregables:
Principalmente reportes/tableros en Excel y/o Power Point con resultados de estrategias y de modelos de predicción.**Job Family Group**:
Decision Management
- **Job Family**:
Specialized Analytics (Data Science/Computational Statistics)
- **Time Type**:
Full time
- **Most Relevant Skills**
Please see the requirements listed above.
- **Other Relevant Skills**
For complementary skills, please see above and/or contact the recruiter.-
- View Citi’s _EEO Policy Statement_ and the _Know Your Rights_ poster._

📌 Intern Data Engineer (Temporal) (Ciudad de México)
🏢 Citi
📍 Ciudad de México