Tech Stack
PythonPyTorchSQLTensorflow
About the role
- MindBridge is a global leader in AI-powered financial risk intelligence, analyzing billions of financial transactions
- Role: Applied Data Scientist on a centralized Data Science team blending technical modelling with client-facing consulting
- Rotate between client delivery projects, innovation sprints, and core research to apply cutting-edge data science to real-world finance problems
- Client delivery: engage with clients, translate business challenges into data science problems, and present insights to technical and non-technical audiences
- Applied data science: develop ML models, statistical analyses, advanced data workflows, and adapt novel algorithms for practical use cases
- Validate and iterate solutions for robustness, scalability, and measurable business impact
- Collaboration: contribute to knowledge sharing, mentorship, workshops, and support innovation agenda by testing new AI/ML techniques
Requirements
- Strong background in data science, statistics, or applied machine learning
- Proven experience working in client-facing or stakeholder-heavy roles (consulting, delivery, or internal advisory)
- Hands-on skills in Python, SQL, and ML frameworks (PyTorch, TensorFlow, RAPIDS is a plus)
- Ability to move fluidly between technical modeling and business storytelling
- Excellent communication skills with a collaborative mindset
- Graduate degree (Master’s or PhD) in Computer Science, Statistics, Mathematics, or related field
- Experience with modern ML methods such as deep learning, transformers, or generative models
- Familiarity with agile methods for research and prototyping
- Fulfill requirements necessary to obtain full background check