Data Science Intern at Hearst Newspapers tackling real - world challenges in digital media. Collaborating with teams to derive insights and influence business strategies.
About the role
- Data Analyst in the analytical solutions area at Itaú, resolving credit problems through advanced machine learning techniques. Collaborating in multidisciplinary squads with agile methodology.
Responsibilities
- We are seeking Data Science Analysts to work in the Credit Analytical Solutions area.
- The team focuses on solving credit-related problems through the use of advanced machine learning techniques and by building analytical tools.
- Activities are carried out collaboratively, within multidisciplinary squads following Agile methodology.
- Data analysis
- Statistical models
- Machine learning
- Model monitoring
- Machine learning
Requirements
- Experience with data analysis and handling large volumes of information.
- Knowledge of statistical models and machine learning techniques.
- Practical experience with machine learning (modeling, validation and deployment).
- Ability to monitor and maintain models in production.
- Proficiency in languages such as Python or R and data science libraries (pandas, scikit-learn, etc.).
- Knowledge of SQL for queries and data integration.
Benefits
- Commuter allowance (Vale-Transporte)
- Meal voucher (restaurants) / Food allowance (supermarkets)
- Medical plan (Fundação Saúde Itaú or Central Nacional Unimed)
- Dental plan (Odontoprev or Interodonto)
- Life insurance
- PLR – Profit Sharing (Participation in Profits and Results, subject to bank performance)
- Private pension plan
- Exclusive discounts on our financial products
- Extended maternity and paternity leave
- Daycare / nanny assistance (for parents)
- Education assistance
- Wellhub or TotalPass
- Access to Itaú Leisure Clubs (Guarapiranga / Itanhaém and São Sebastião)
- Plus some additional benefits you can learn about during the process 😊
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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