Data Scientist & Product Owner

We are looking for a hands-on Data Scientist who can also act as a Product Owner, translating business needs into data-driven solutions, managing stakeholders, prioritizing roadmaps, and driving the delivery of analytics and AI products. 

 

• Developing a clear product vision for AI applications aligned with corporate strategy

• Building and maintaining an AI product backlog

• Defining and managing roadmaps for AI products

• Identifying and prioritizing high-impact business use cases

• Translating business requirements into technical specifications

• Conducting gap analyses on data availability and quality

• Working closely with data scientists, engineers, business stakeholders, and external partners (e.g., McKinsey, appliedAI)

• Facilitating workshops for ideation and requirements gathering

• Communicating product vision and progress to stakeholders

• Understanding machine learning, MLOps, data architectures, and model validation

• Supporting the selection of appropriate algorithms and tools

• Ensuring compliance with data protection and regulatory requirements

• Supporting organizational change processes

• Developing training and enablement programs for users

• Scaling successful AI products across markets or business units

 

• Proven experience in product management, ideally in data/AI

• Knowledge of agile methodologies (Scrum, SAFe)

• A solid technical understanding of AI methods and data infrastructure

• Strong communication and stakeholder management skills

• Strong proficiency in English, both written and spoken

• Familiarity with tools such as Python, SQL, ML frameworks, and MLOps platforms

• Strong communication and analytical skills  

• Great English skills, both written and spoken.  

 

About the Product

Our Sales Spoke team is driven by a data-first culture, leveraging both advanced analytics and AI to empower our team and customers to create additional value. We enable our business units to explore their untapped data & analytics potential and provide our customers with value-adding advanced analytics solutions.