Data Scientist / Engineer developing and implementing AI solutions for insurance clients. Contributing to fraud detection and automation in a hybrid work environment.
About the role
- Data Scientist leading the development and deployment of advanced ML models for fraud prevention at Topaz, focusing on innovative and reliable financial solutions.
Responsibilities
- At Topaz, you will be responsible for leading the development and deployment of advanced models that drive large-scale fraud prevention.
- Design, train, and validate machine learning models using advanced algorithms.
- Conduct experiments to test new approaches, tune hyperparameters, and evaluate metrics such as FPR and recall.
- Collaborate with MLOps engineers to build robust pipelines that ensure model scalability in production environments.
- Monitor model performance in production, identifying potential degradation or opportunities for continuous improvement.
- Update models with new data to ensure they remain relevant in the face of changing fraudulent behavior.
- Implement explainability techniques to make models transparent and aligned with applicable regulations.
- Explore new technologies, frameworks, and algorithms to keep the solution at the forefront of fraud detection.
- Contribute to the establishment of best practices and technical standards within the team.
Requirements
- Experience in machine learning, data science, or software development focused on ML-based solutions.
- Hands-on experience developing and deploying advanced models, including supervised, unsupervised learning, and deep learning.
- Experience leading technical projects or multidisciplinary teams. To join our team, we are looking for professionals with solid experience and strong technical knowledge in data engineering.
Benefits
- Health and wellbeing: Because we care about our teams, we offer various health plans focused on promoting wellbeing within the organization.
- Personal and professional development: We are constantly evolving. For this reason, we provide environments, programs, and policies that ensure the space and opportunities you need 🎓 Career path.
- Flexibility and time off: Here you'll find the time needed to recharge, and you can enjoy a day off on your birthday 🥳 Hybrid work arrangement.
- Corporate partnerships and discounts: We offer a range of partner programs and employee discounts.
Job title
Job type
Experience level
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Degree requirement
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