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Remote
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Salary Range
Not informed
Experience Level
Mid level
Requirements
Desired Skills
Tasks and Responsibilities
Show originalIf you are passionate about data, technology, and innovation, this is your chance to work on challenging projects, collaborating with professionals from different areas and contributing to the digital transformation of the financial sector. At EY, you will have the opportunity to apply your technical skills in dynamic environments, driving high-impact solutions and developing your career in a global and inclusive context.
You will be responsible for the following:
Collaborate in multidisciplinary teams, communicating effectively to achieve common goals. Act in the resolution of complex problems, developing creative and innovative solutions. Use critical thinking to analyze data, identify patterns, and make evidence-based decisions. Seek continuous learning, adapting to new technologies and trends to enhance your skills and contribute to the success of projects.
Requirements and skills we are looking for:
- Completed or ongoing degree in Computer Science, Mathematics, Statistics, Economics, Administration, Engineering, or related fields;
- Advanced experience in Python, especially for AI applications;
- Experience with data pipelines, ETL, Apache NiFi, Apache Kafka;
- Knowledge of major modeling frameworks;
- Experience in Machine Learning development;
- Experience preferably in companies in the financial sector, such as banks and insurance companies, technology, consultancies, or startups.
- Differentials: Certifications in Data Science (e.g., IBM Data Science, AWS Certified Machine Learning, Google Professional Data Engineer);
- English is a plus
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