CanCap Group Inc. is part of privately-owned Canadian national financial services company with multiple verticals across automotive, consumer, and merchant lending portfolios. We manage the entire lifecycle of the finance receivable from credit adjudication through to contract administration, customer service, default management and post charge-off recoveries. We are a company of innovators, we learn from each other, respect each other and create together. When it comes to our customers, partners, and each other, we are always motivated by doing the “right thing”. We are always looking to find the best people and the right methods that allow us to meet this goal and look to the future for growth.

WHAT YOUR DAY AND WEEK COULD LOOK LIKE

Reporting to the Head of Data Platform, the Data Scientist will be responsible to develop generative AI based machine learning models to solve various prescriptive, predictive and generative needs of the business teams.
We are seeking an experienced Data Scientist with a specialization in Generative AI to join our growing AI/ML team. In this role, you will be at the forefront of designing, developing, and deploying advanced generative models that power innovative solutions across our products and services. You will collaborate with cross-functional teams to turn cutting-edge research into real-world applications, driving business value through intelligent automation and creativity at scale.

PREFERRED QUALIFICATIONS

• Master’s or Ph.D. in Computer Science, Machine Learning, Statistics, Mathematics, or a related quantitative field.
• Experience with multimodal AI (e.g., combining vision, text, and audio).
• Familiarity with RLHF, autoencoders, or Neural Radiance Fields (NeRFs).
• Publications or contributions in top-tier AI/ML conferences (e.g., NeurIPS, ICML, CVPR, ACL).
• Understanding of ethical and responsible AI principles in the context of generative models.
• Experience working in Agile and DevOps environments.
• Excellent communication and stakeholder management skills.

• Design and implement Generative AI models (e.g., Transformers, VAEs, GANs, diffusion models) for tasks such as content generation, synthetic data creation, and human-AI collaboration.
• Lead experiments and model training pipelines using large-scale datasets (text, image, audio, or multimodal).
• Evaluate, fine-tune, and optimize foundation models (e.g., GPT, LLaMA, Stable Diffusion) for downstream applications.
• Work closely with product, engineering, and research teams to integrate generative AI capabilities into production systems.
• Drive innovation through staying up-to-date with the latest research in machine learning and generative modeling.
• Communicate findings and recommendations to technical and non-technical stakeholders.
• Mentor junior data scientists and contribute to team knowledge sharing and code reviews.
• Evaluate emerging technologies and tools to continuously improve the AI models.