Synopsis Of The Role
What You Will Do
- For the first 3-6 months you will learn our data, our technologies and our platform.
- As part of a new team within the Data and Analytics area, you will work with our Director of AI \& Innovation to help lead the vision and strategy of AI Data Science for Equifax Canada
- You will identify new opportunities to leverage cutting edge AI tools, solutions and algorithms to drive value for both internal stakeholders and external clients
- You will develop new agents to drive efficiencies and new opportunities within the Data \& Analytics ecosystem
- You will design, develop, and implement advanced machine learning and deep learning models, including Generative AI models (e.g. Large Language Models (LLMs), diffusion models, GANs), to address critical business challenges such as synthetic data generation, personalized recommendations, and novel risk modeling.
- You will work closely with the product teams across multiple lines of business to bring new products to market leveraging Generative AI and other advanced techniques
- You will build relationships with our Global AI and innovation experts, sharing new ideas and leveraging from learnings internationally
- You will collaborate with data engineers to build scalable and efficient data pipelines for model training and deployment
- You will contribute to the development of best practices and standards for AI model development, deployment, and monitoring
- You will work with the Scoring and Modelling teams, supporting redesign of the data science model development lifecycle using the latest techniques and methodologies and inventing new ones where needed
- You will manage your own projects including defining business and technical requirements, resource planning and analytical solution design.
- You will become one of several AI experts within the team, providing relevant training across the broader team to increase AI adoption
- You will coach and mentor junior and intermediate data scientists in career development and data science skill-set improvement.
- You will stay at the cutting edge of AI and machine learning research, with a strong focus on advancements in Generative AI, and proactively identify opportunities for their application within the organization, considering ethical implications and responsible AI principles.
What Experience You Will Need
- 5 years' data science experience with expert knowledge of Python, SQL, R or SAS in a large data environment.
- Strong theoretical understanding and practical experience in a wide range of machine learning algorithms and techniques including regression, simulation, scenario analysis, modeling, clustering, decision trees, LLMs, neural networks (including LSTMs, RNNs).
- 3 years' proven hands-on experience with cutting edge AI technologies and algorithms including Generative AI
- 2 years' experience developing and leading the technical vision of an organization and working independently and closely with senior leadership to lead data science to continued success into the future.
- You will have an innate talent and passion for trying new technologies and quickly assessing value and implementability within organizations.
- Bachelor's or advanced degree in a quantitative discipline such as Engineering, Economics, Mathematics, Statistics, or Physics is essential.
Skills What could set you apart (nice to have skills):
- A background in financial services, credit, telecommunications or utilities.
- Experience working with credit or fraud data and Experience in leadership and mentorship
- Excellent knowledge of prompting optimisation, Generative AI and Agent development
- Master's level degree in a business-related field/MBA.
Who is Equifax?
