MindBridge

Applied Data Scientist

MindBridge

full-time

Posted on:

Location: 🇨🇦 Canada

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Job Level

Mid-LevelSenior

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
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