Randstad Enterprise is the leading global talent solutions provider, enabling companies to create sustainable business value and agility by keeping people at the heart of their organizations. As part of Randstad N.V. — a global talent leader with revenue of € 25.4 billion — we combine unmatched talent data and market insights with smart technologies and deep people expertise. Our integrated talent solutions – talent acquisition (RPO, MSP, services procurement/SOW and talent BPO) delivered through Randstad Sourceright, and talent development and transition (talent mobility, career coaching and outplacement) delivered through Randstad RiseSmart – help companies build a skilled and agile workforce that moves their business forward.
On-site · Montréal
The candidate will develop and maintain Machine Learning and Generative AI solutions to solve business problems. Responsibilities include prompt engineering, model evaluation, and collaborating with SMEs to translate business requirements into technical code.
Hybrid · Montréal
Design, engineer, and operate enterprise-wide data security capabilities to execute the firm's Data Cybersecurity Strategy. Focus on automating and orchestrating data protection services to ensure seamless integration across the organization.
Hybrid
We are seeking a Data Scientist to design and implement advanced analytics methodologies that enable measurement, trending, and insight generation across the firm’s vulnerability landscape. This role will sit at the intersection of cybersecurity, data science, and risk management, developing scalable data models and analytics capabilities to transform large, complex vulnerability datasets into actionable intelligence and executive-ready reporting. Location: Montreal (Day 1 onboarding onsite / in office presence 3x week Key Responsibilities: 1. Data Modeling & Architecture Design and impleme…