Data Scientist/Engineer

Summary

Join Shift Technology's Data Science team in São Paulo and contribute to the development of AI-powered insurance products. You will work alongside technical experts to understand insurance data and fraud mechanisms, create mathematical models, implement and optimize algorithms, and participate in client workshops. This role requires advanced technical skills in applied mathematics, particularly in machine learning or operations research, strong analytical and synthesis abilities, and proficiency in writing production-quality code. Fluency in Portuguese and English is mandatory. Shift Technology offers a competitive benefits package including flexible remote work options, a variable salary component, company equity, generous PTO, mental health benefits, and more.

Requirements

• You are native in Portuguese and fluent in English (mandatory)
• You have advanced technical skills in Applied Mathematics, preferably in machine learning and/or operations research
• You combine strong analysis with synthesis abilities and are not afraid to deal with the details
• You can write quality production code
• You are keen to face our clients to discuss their needs and integrate their feedback into your projects
• You can communicate clearly in English and are fluent in another language
• You should be currently enrolled to a São Paulo (Capital) University AND be already on the last year of your studies with an expected graduation date of December, 2026

Responsibilities

• Understand insurance data and fraud mechanisms
• Create the associated mathematical models
• Implement, test and optimize the associated algorithms
• Participate in workshops with the clients to gather feedback and integrate it into the models
• Continuously provide ideas to improve the solution

Benefits

• Flexible remote and hybrid working options
• Competitive Salary and a variable component tied to personal and company performance
• Company equity
• Focus Fridays, a half-day each month to focus on learning and personal growth
• Generous PTO and paid holidays
• Mental health benefits
• 2 MAD Days per year (Make A Difference Days for paid volunteering)