Marketing Science Manager

Location: Global

Team: General

About the Role

Wise is a global technology company building the next generation of financial infrastructure. We're looking for a Marketing Science Manager to lead one of our Marketing Science team functions, shaping how we measure and optimize £M’s in marketing investment worldwide. As a hands-on leader, you'll guide a team of two lead analysts in building and evolving our triangle of measurements—attribution models, experimentation, and Marketing Mix Models—delivering actionable insights that drive marketing optimization across the company. In this role, you'll own the strategic direction of our measurement framework, collaborating with marketing, data science, engineering, and finance teams to prioritize needs and execute a roadmap for scalable solutions. Leveraging expertise in Python, SQL, DBT, and advanced analytics, you'll build robust features, generate strategic recommendations, and act as the go-to expert on advertising effectiveness. If you're passionate about marketing science, intellectually curious, and outcome-oriented, join us to make a measurable impact at Wise. This global role offers a base salary of £75,000 - £100,000 (based on experience), RSUs, flexible working, and fantastic benefits, all while contributing to our mission of money without borders for everyone, everywhere.

Key Responsibilities

• Own the strategy and implementation of our triangle of measurement ranging our marketing attribution model, experimentation and Marketing Mix Models
• Collaborate effectively with marketing channels, data science and data engineering, and other cross-functional teams to identify and prioritise key business needs in our measurement products
• Manage and develop a team of two lead marketing analysts (IC), fostering their growth and ensuring high-quality output, and that the project priority definition is outcome oriented
• Develop and execute a strategic roadmap for the measurement product, identifying new opportunities and alternative solutions to overcome limitations
• Define processes for marketing channel optimisation based on different measurement solutions available
• Own the end-to-end technical build of the new features of the attribution model, leveraging tools like Python, DBT, and SQL to create a robust and scalable solution
• Generate insights to provide strategic recommendations on how to optimize marketing channels and spend
• Act as a subject matter expert on our whole measurement framework

Required Qualifications

• Bachelor’s degree in Statistics, Economics, or other relevant fields
• 4+ years of experience in a marketing analytics or data science role
• At least 2 years in a leadership or management position
• Experience with building and deploying data pipelines and models
• Very strong, hands-on knowledge of marketing attribution models, including their methodologies, use cases, limitations, and best practices for implementation
• Knowledge of Marketing Mix Models and experimentation

Preferred Qualifications

• Proficiency in dbt
• Deep understanding of marketing channels, campaign tracking, and the role of MMPs in mobile marketing
• Proven ability to think strategically about how to use and improve an analytical product to drive business value

Required Skills

• SQL
• Python (advanced)
• Data visualization tools (e.g., Looker)
• Marketing attribution models
• Marketing Mix Models
• Experimentation
• Project management
• Stakeholder management
• Communicating complex technical concepts to non-technical audiences
• Data pipelines and models (e.g., DBT)

Benefits

• RSUs in a growing and public company
• Work from (almost) anywhere in the world for up to 90 days a year
• Flexible working - you’re trusted to do the right thing and be responsible
• Private Medical Insurance + Life Insurance
• Discounted gym memberships and cycle to work scheme
• Paid 6-week sabbatical leave after four years
• 26 weeks maternity leave at full pay
• Annual self-development budget
• Annual Mission Days festival
• Pet friendly offices

Wise is an equal opportunity employer committed to building a diverse workforce.