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- Tasks: Lead marketing analytics to optimise Lime's campaigns and rider incentives using advanced techniques.
- Company: Join Lime, a global leader in shared micromobility with a mission for carbon-free transport.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact on sustainable transport while working with cutting-edge analytics.
- Qualifications: 7+ years in applied science or marketing analytics; strong quantitative skills required.
- Other info: Collaborative remote environment with a focus on diverse perspectives and team growth.
The predicted salary is between 70000 - 90000 £ per year.
Lime is the largest global shared micromobility business, operating in close to 30 countries across five continents. We’re on a mission to build a future where transportation is shared, affordable and carbon-free. Our electric bikes and scooters have powered more than one billion rides in cities around the world. Named a 2025 Time 100 Most Influential Company, Lime continues to set the pace for shared micromobility globally, spurring a new generation of clean alternatives to car ownership.
We are looking for a marketing analytics or applied science leader who can utilize best-in-class experimentation techniques to optimize the performance of Lime’s lifecycle marketing campaigns, pricing, promotions, and other rider incentives for a large and rapidly growing global business. This role sits at the intersection of analytics, strategy, and execution, and it involves applying machine learning to improve the ROI of campaigns of both broad reach and very precisely targeted campaigns.
The ideal candidate will have a strong applied science background and be comfortable not only with basic lifetime value and next best action concepts, but also advanced multi-arm bandit, contextual bandit, and related reinforcement learning techniques. You will be expected to utilize, enhance, and tune campaign performance and targeting utilizing tools such as StatSig or Braze, as well as foundational models built internally by Lime’s data science team. You will also lead a small team and be expected to be both a hands-on analytical expert and a strategic partner—comfortable building models, guiding teams, and influencing senior stakeholders. High proficiency with big data, SQL, Python, and Tableau are also important. While you won’t be coding foundational models or publishing Tableau reports yourself, you will be directly managing data analysts and working closely with Lime’s central data science team.
This is a remote position with a requirement for candidates residing in London to maintain effective collaboration across teams.
What You'll Do
- Implementing pre/post, A/B test, and multi-arm bandit experiments with statistical rigor, clear objectives, measurable outcomes, and repeatable learnings and insights
- Evaluating the effectiveness of various promotion constructs and redemption constraints
- Setting program-level, campaign-level, and initiative-level performance benchmarks
- Supporting strategic initiatives such as new product launches, market entry, partnerships, or channel expansion
- Deeply understanding the Lime customer journey and where well-structured communications or incentives can motivate the right behaviour changes
- Managing and mentoring a small team of analysts, setting high standards for analytical quality and business impact
- Acting as a trusted advisor to senior leaders, influencing decisions through data and structured thinking
- Partnering cross-functionally with Product, Data Science, Marketing, Finance, and Operations teams
About You
- Bachelor’s degree in Economics, Finance, Business Analytics, Computer Science or a related quantitative field
- 7+ years of experience in applied science, marketing or advertising analytics, CRM, lifecycle marketing, or a related field
- Strong background in quantitative analysis, statistics, and marketing attribution
- Experience with multi-arm bandit, contextual bandit, and/or reinforcement learning
- Ability to clearly communicate complex insights to non-technical audiences
Preferred Experience
- MBA or MS degree in Economics or Data Science or a related field
- 2+ years of people management experience
If you want to make an impact, Lime is the place for you. Not sure if you meet all the qualifications? If this role excites you we encourage you to apply. Explore all opportunities on our career page.
Lime is proud to be an Equal Opportunity Employer. We believe different perspectives help us grow and achieve more. That’s why we’re dedicated to building and developing a team that reflects a wider range of backgrounds, abilities, identities, and experiences.
Senior Manager, Growth Optimization in London employer: Lime
Contact Detail:
Lime Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Manager, Growth Optimization in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect with Lime employees on LinkedIn. A personal touch can make all the difference when it comes to landing that interview.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies that highlight your experience with marketing analytics and machine learning techniques. This will help you stand out and demonstrate your expertise to potential employers.
✨Tip Number 3
Practice makes perfect! Get ready for interviews by rehearsing common questions related to growth optimisation and data analysis. The more comfortable you are discussing your experience, the better you'll perform.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining Lime's mission.
We think you need these skills to ace Senior Manager, Growth Optimization in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with marketing analytics and applied science in your application. We want to see how you've used data to drive decisions and improve campaign performance, so don’t hold back!
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language to explain your achievements and how they relate to the role. We appreciate a well-structured application that gets straight to the point.
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the specific skills and experiences that align with our job description. It shows us you’re genuinely interested in the role.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Lime
✨Know Your Numbers
As a Senior Manager in Growth Optimization, you'll need to be comfortable with data. Brush up on your SQL and Python skills, and be ready to discuss how you've used analytics to drive marketing decisions in the past. Prepare specific examples of campaigns where you applied statistical techniques like A/B testing or multi-arm bandit experiments.
✨Understand Lime's Mission
Familiarise yourself with Lime's mission to create shared, affordable, and carbon-free transportation. Be prepared to discuss how your experience aligns with this vision and how you can contribute to their growth strategy. Showing genuine enthusiasm for their goals will set you apart.
✨Prepare for Scenario Questions
Expect scenario-based questions that assess your problem-solving skills and strategic thinking. Think about how you would approach optimising a marketing campaign or evaluating a new product launch. Use the STAR method (Situation, Task, Action, Result) to structure your responses clearly.
✨Show Leadership Skills
Since you'll be managing a small team, highlight your leadership experience. Discuss how you've mentored analysts in the past and the standards you've set for analytical quality. Be ready to share examples of how you've influenced senior stakeholders through data-driven insights.