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Job Summary: Join Inter's Pricing team, working on data science projects to develop and validate predictive and analytical models that support strategic decisions. Key Highlights: 1. Work on data science projects in the pricing area. 2. Develop, validate, and maintain predictive and analytical models. 3. Translate business problems into quantitative models. **About Inter** As pioneers, we transformed the market by launching Brazil's first digital bank and continue to shape the future with cutting\-edge technology. We have evolved into a Global Financial Super App, delivering complete solutions and leading innovation. Here, work has purpose: creating real opportunities, transforming people's lives, and reshaping the financial market. This is the Inter way of making things happen. If you want to be part of this transformation and leave your mark, your place is here. Become Sangue Laranja. **Get to Know Inter** As pioneers, we transformed the market by launching Brazil's first digital bank and continue to shape the future with cutting\-edge technology. We have evolved into a Global Financial Super App, delivering complete solutions and leading innovation. Here, work has purpose: creating real opportunities, transforming people's lives, and reshaping the financial market. This is the Inter way of making things happen. If you want to be part of this transformation and leave your mark, your place is here. Become Sangue Laranja. **About the Role and Mission** You will join our Pricing team and work on data science projects. **Your day\-to\-day responsibilities will include:** * Developing, validating, and maintaining predictive and analytical models that support the bank's strategic decisions; * Translating business problems into hypotheses and quantitative models; * Performing exploratory data analysis (EDA) and feature engineering; * Evaluating model performance, stability, and bias; * Documenting models clearly and auditably; * Supporting model implementation and continuous monitoring in production; * Presenting results clearly to both technical and executive audiences. **What We're Looking For** **Required Qualifications:** * Bachelor's degree in Statistics, Computer Science, Economics, or related fields; * Proactivity, critical thinking, and the ability to communicate technical results clearly to diverse audiences; * Solid experience in predictive modeling and applied statistics; * Proficiency in analytical tools and languages such as Python and SQL; * Strong skills in data manipulation and model validation; * Ability to produce technical documentation and maintain organization; * Familiarity with version control systems (git); * Adherence to programming best practices and code organization. * Prior experience in pricing and/or the financial sector is a plus; * Knowledge of Cloud platforms (preferably AWS). **Desirable Qualifications:** * Understanding of MLOps concepts; * Model deployment; * Automated re\-training; * Containers (Docker) and APIs; * Experience in financial institutions; * Experience in pricing projects; * Prior work with critical data (risk, credit, liquidity); * Experience scaling data solutions from pilot to production; * Practical knowledge of data governance. **Benefits** * Meal allowance and food voucher; * Health and dental insurance; * Life insurance; * Birthday Day\-Off; * Baby On Board and Nursing Room; * Extended parental leave; * Childcare/babysitter allowance and/or allowance for children with disabilities; * Wellhub and Inter Running Group; * CARE4U Space (Belo Horizonte): self\-care services at exclusive rates, decompression area, games, and mini golf course; * Benefits within our SuperApp, such as Duo Gourmet; * Inter Prime Card; * Internal training and development programs. **Selection Process Steps** * Resume screening; * Screening call (initial outreach to align expectations about the role); * Assessments; * Interview with Talent Team; * Technical test (when required); * Interview with leadership; * Job offer (Offer).
