Growth Scientist: AI-Driven Acquisition & Experimentation

Growth Scientist: AI-Driven Acquisition & Experimentation

Full-Time 63000 - 77000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Drive growth through AI, data analysis, and experimentation in a fast-paced environment.
  • Company: Join Xcede, a high-growth consumer business in London.
  • Benefits: Competitive salary, equity options, and a dynamic work culture.
  • Other info: Work in a vibrant office three days a week with great career potential.
  • Why this job: Blend marketing with tech skills to make a real impact on growth.
  • Qualifications: Experience in marketing, data analysis, and a passion for innovation.

The predicted salary is between 63000 - 77000 £ per year.

Xcede in London is seeking a Growth Scientist/Research Scientist (Growth) to join a high-growth consumer business.

You’ll work across growth marketing, AI/ML, paid acquisition, optimisation and experimentation, using data and applied maths to lift acquisition and LTV.

London, 3 days in the office; salary competitive plus equity.

No visa sponsorship available.

You will blend marketing experience with quantitative and technical skills to drive measurable growth outcomes in a fast-paced environment.

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Growth Scientist: AI-Driven Acquisition & Experimentation employer: Xcede

As a Mobility Engineer/Consultant with us, you'll thrive in a dynamic remote work environment that champions innovation and collaboration. We offer competitive benefits, a strong focus on employee development, and the opportunity to work on cutting-edge enterprise solutions that make a real impact. Join our team and be part of a culture that values your expertise and encourages professional growth while ensuring you have the tools and support needed to excel in your role.

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Contact Details:

Xcede Recruitment Team

We think you need these skills to ace Growth Scientist: AI-Driven Acquisition & Experimentation

Growth Marketing
AI/ML
Paid Acquisition
Optimisation
Experimentation
Data Analysis
Applied Mathematics