VP Data Science

Tasks & responsibilities

• Lead and manage a distributed team of data scientists embedded in cross-functional squads across the Planning organization.
• Define and communicate the long-term Data Science roadmap for agentic AI within Planning.
• Drive the design and deployment of multi-agent workflows using orchestration frameworks such as LangGraph, ensuring scalability, reliability, and measurable business impact.
• Partner with Product, Engineering, and stakeholders to align agentic AI capabilities with planner workflows and business objectives.
• Establish best practices for experimentation, evaluation, and monitoring of agent-based systems (including causal tracing, benchmarking, and safety cthecks).
• Mentor and grow the Data Science team, fostering technical excellence, collaboration, and an iterative, prototype-driven culture.

Requirements

• 8+ years of experience designing and deploying applied ML or AI systems into production, with at least 3+ years leading data science teams.
• Fluent in Python and a strong interest in general software engineering principles.
• You have worked with common python frameworks (Numpy, Pandas…)
• Demonstrated expertise with agentic AI systems, including orchestration frameworks (LangGraph preferred, LangChain or similar also considered).
• Strong foundation in classical machine learning and applied modeling techniques, including regression, classification, clustering, and practical experience with models used in econometrics or marketing measurement.
• Experience with agile development methodologies, such as Scrum or Kanban.

Preferred qualifications

• Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes).
• Familiarity with DevOps practices and tools for continuous integration and deployment.
• Solid understanding of system design principles, scalability, and performance optimization.

[Employer hidden — view at passion-project.co.uk] is a customer intelligence company that provides data-driven solutions to enable the world’s best marketers to better understand their customers to create better experiences and business growth. A leader in customer data management, identity, and the ethical use of data for more than 50 years, [Employer hidden] now helps thousands of clients and partners around the globe work together to create millions of better customer experiences, every day. [Employer hidden] is a registered trademark of [Employer hidden] LLC. For more information, visit [Employer hidden].com.

To apply, contact recruiter Joanna Samborska at [contact hidden]