Our client is a global leader in consulting and developing solutions to drive the digital transformation of the financial industry. They are strategic partners of fintechs, banks, insurers, digital payment companies, and high-level executives.
In Short
Analyze large datasets to extract relevant insights.
Develop predictive models aligned with product team needs.
Research and propose new modeling methodologies compatible with the project.
Continuously relate with interface areas to keep all stakeholders informed.
Propose studies and impact indicators related to business health and success.
Monitor the lifecycle of models, including deployment, monitoring, and governance.
Promote data science by sharing knowledge and working on the organization's data culture.
Requirements
Previous experience with Machine Learning or Statistical Modeling.
Ability to work well in multidisciplinary teams.
Experience with Python.
Preferably a degree in a quantitative area such as Computing, Economics, Engineering, Statistics, Mathematics, or related fields.
Desirable experience with Data Science applied to Payment Methods (Cards, Pix, Checks).
Desirable experience with Databricks.
Experience with Natural Language Processing is a plus.