About this role
We turn every customer interaction into an opportunity. We connect conversations, customer data and payments with AI Agents so that companies can deliver personal customer journeys at scale: both online and in person. “The entire customer journey. One platform” What we value Every CM.com colleague, connects to our 4 shared values : Drive and Lead You take initiative, make decisions and recognize opportunities. Making mistakes is part of moving forward. Grow and Learn The growth of our colleagues and our customers is our priority. You like to experiment, learn continuously and actively share knowledge and insights with others. Together and Care We work together and we believe that diverse perspectives lead to stronger outcomes. You value the social side of work, you show genuine interest and care about one another’s well-being. Speed and Change By welcoming AI Agents into our organisation, we fundamentally change how work is done. You are comfortable with change and you love working in a high paced environment. The Role You'll shape the future of AI in finance at CM.com . As our Data Scientist for the Internal AI team, you'll embed intelligence into our financial workflows, apply ESSA principles (Eliminate, Standardize, Simplify, Automate), and pioneer Conversational Finance, elevating how our customers, suppliers, and internal teams interact with financial data. You will: Investigate and analyze financial processes to build deep business understanding, then prioritize high-impact automation opportunities with key stakeholders. Build and deploy machine learning models that integrate with Claude Cowork, N8N, and HALO to transform end-to-end financial workflows. Work directly with our CFO, Head of Business Finance, and Internal AI Lead (Rogier) to shape solution strategies and deliver production-ready solutions. Own the full cycle from model development through production deployment, ensuring solutions drive real efficiency gains across finance and beyond. Use AI tools actively to improve your own work — experiment, automate, and share what works with your team.