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Lead Marketing Scientist

Wise

Lead Marketing Scientist

Wise logo

Wise

full-time

Posted: December 16, 2025

Number of Vacancies: 1

Job Description

Lead Marketing Scientist

Location: Global

Team: General

About the Role

Wise is a global technology company building the best way to move and manage the world’s money with min fees, max ease, and full speed. We're seeking an exceptional Lead Marketing Scientist to own and evolve our marketing measurement framework, driving how we measure and optimize £M's of marketing investment globally. In this high-impact leadership role, you'll guide a team of two talented analysts to build, maintain, and evolve our triangle of measurements—attribution models, experimentation, and Marketing Mix Models—end-to-end, collaborating cross-functionally with marketing, data science, engineering, and finance teams. You'll set the strategic direction for our measurement products, ensuring actionable insights that optimize marketing across the company, while owning technical builds with Python, dbt, and SQL. Ideal for a strong individual contributor aspiring to hands-on leadership or an experienced leader, this role demands deep analytical expertise, intellectual curiosity, and outcome orientation. Generate strategic recommendations, define optimization processes, and act as the subject matter expert on our framework to drive business value. Join us to make a real impact on Wise's mission for everyone, everywhere. Base salary £75,000 - £100,000 (based on experience), plus RSUs, flexible working, global mobility, health insurance, sabbaticals, and more.

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 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
  • Management experience is not required but advantageous

Preferred Qualifications

  • Experience with dbt
  • Deep understanding of marketing channels, campaign tracking, and the role of MMPs in mobile marketing
  • Knowledge of Marketing Mix Models and experimentation

Required Skills

  • Proficiency in SQL
  • Advanced in Python
  • Experience in data visualization tools (e.g., Looker)
  • 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
  • Proven ability to think strategically about how to use and improve an analytical product to drive business value
  • Excellent project management and stakeholder management skills
  • Ability to communicate complex technical concepts to non-technical audiences
  • Strong understanding of advertising effectiveness
  • Ability to work cross-functionally with marketing stakeholders, analysts, data scientists, engineers and finance teams

Benefits

  • RSU's 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

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

Locations

  • Global, Global

Salary

Estimated Salary Rangemedium confidence

180,000 - 300,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Proficiency in SQLintermediate
  • Advanced in Pythonintermediate
  • Experience in data visualization tools (e.g., Looker)intermediate
  • Experience with building and deploying data pipelines and modelsintermediate
  • Very strong, hands-on knowledge of marketing attribution models, including their methodologies, use cases, limitations, and best practices for implementationintermediate
  • Proven ability to think strategically about how to use and improve an analytical product to drive business valueintermediate
  • Excellent project management and stakeholder management skillsintermediate
  • Ability to communicate complex technical concepts to non-technical audiencesintermediate
  • Strong understanding of advertising effectivenessintermediate
  • Ability to work cross-functionally with marketing stakeholders, analysts, data scientists, engineers and finance teamsintermediate

Required Qualifications

  • Bachelor’s degree in Statistics, Economics, or other relevant fields (experience)
  • 4+ years of experience in a marketing analytics or data science role (experience)
  • Management experience is not required but advantageous (experience)

Preferred Qualifications

  • Experience with dbt (experience)
  • Deep understanding of marketing channels, campaign tracking, and the role of MMPs in mobile marketing (experience)
  • Knowledge of Marketing Mix Models and experimentation (experience)

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 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

Benefits

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

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Wise logo

Lead Marketing Scientist

Wise

Lead Marketing Scientist

Wise logo

Wise

full-time

Posted: December 16, 2025

Number of Vacancies: 1

Job Description

Lead Marketing Scientist

Location: Global

Team: General

About the Role

Wise is a global technology company building the best way to move and manage the world’s money with min fees, max ease, and full speed. We're seeking an exceptional Lead Marketing Scientist to own and evolve our marketing measurement framework, driving how we measure and optimize £M's of marketing investment globally. In this high-impact leadership role, you'll guide a team of two talented analysts to build, maintain, and evolve our triangle of measurements—attribution models, experimentation, and Marketing Mix Models—end-to-end, collaborating cross-functionally with marketing, data science, engineering, and finance teams. You'll set the strategic direction for our measurement products, ensuring actionable insights that optimize marketing across the company, while owning technical builds with Python, dbt, and SQL. Ideal for a strong individual contributor aspiring to hands-on leadership or an experienced leader, this role demands deep analytical expertise, intellectual curiosity, and outcome orientation. Generate strategic recommendations, define optimization processes, and act as the subject matter expert on our framework to drive business value. Join us to make a real impact on Wise's mission for everyone, everywhere. Base salary £75,000 - £100,000 (based on experience), plus RSUs, flexible working, global mobility, health insurance, sabbaticals, and more.

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 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
  • Management experience is not required but advantageous

Preferred Qualifications

  • Experience with dbt
  • Deep understanding of marketing channels, campaign tracking, and the role of MMPs in mobile marketing
  • Knowledge of Marketing Mix Models and experimentation

Required Skills

  • Proficiency in SQL
  • Advanced in Python
  • Experience in data visualization tools (e.g., Looker)
  • 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
  • Proven ability to think strategically about how to use and improve an analytical product to drive business value
  • Excellent project management and stakeholder management skills
  • Ability to communicate complex technical concepts to non-technical audiences
  • Strong understanding of advertising effectiveness
  • Ability to work cross-functionally with marketing stakeholders, analysts, data scientists, engineers and finance teams

Benefits

  • RSU's 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

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

Locations

  • Global, Global

Salary

Estimated Salary Rangemedium confidence

180,000 - 300,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Proficiency in SQLintermediate
  • Advanced in Pythonintermediate
  • Experience in data visualization tools (e.g., Looker)intermediate
  • Experience with building and deploying data pipelines and modelsintermediate
  • Very strong, hands-on knowledge of marketing attribution models, including their methodologies, use cases, limitations, and best practices for implementationintermediate
  • Proven ability to think strategically about how to use and improve an analytical product to drive business valueintermediate
  • Excellent project management and stakeholder management skillsintermediate
  • Ability to communicate complex technical concepts to non-technical audiencesintermediate
  • Strong understanding of advertising effectivenessintermediate
  • Ability to work cross-functionally with marketing stakeholders, analysts, data scientists, engineers and finance teamsintermediate

Required Qualifications

  • Bachelor’s degree in Statistics, Economics, or other relevant fields (experience)
  • 4+ years of experience in a marketing analytics or data science role (experience)
  • Management experience is not required but advantageous (experience)

Preferred Qualifications

  • Experience with dbt (experience)
  • Deep understanding of marketing channels, campaign tracking, and the role of MMPs in mobile marketing (experience)
  • Knowledge of Marketing Mix Models and experimentation (experience)

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 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

Benefits

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

Target Your Resume for "Lead Marketing Scientist" , Wise

Get personalized recommendations to optimize your resume specifically for Lead Marketing Scientist. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Lead Marketing Scientist" , Wise

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

WiseFintechGeneralGlobalGlobalGeneral

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No related jobs found at the moment.