Mid Level Data Scientist

• Own well-defined components of a project, from data and modelling to evaluation
• Develop models, agents, and evaluation harnesses that keep them safe and reliable
• Work with engineers to take work to production
• Share work clearly with the team and stakeholders
• Support junior colleagues
• Continuously upskill as the field evolves
• Choose modelling approaches, build training and evaluation infrastructure, and ship to production
• Collaborate with engineers and domain experts across Satalia and WPP

• 2 to 5 years building ML/AI models in production
• Strong modelling skills for both structured and unstructured data
• Hands-on experience building LLM-powered systems
• Good software engineering habits: Python, version control, testing, code review
• Clear communication with both technical and non-technical stakeholders
• Preferred: Experience with temporal and geospatial data
• Preferred: Experience building and testing agents
• Preferred: Experience with federated learning, clean rooms, or other privacy-preserving methods
• Preferred: Background in marketing technology, ad tech, audience modelling, or media mix modelling
• Preferred: Publications or meaningful open-source contributions

• Healthcare benefits
• Remote working
• Flexible working hours
• Impactful projects
• Continuous learning and development