At a Glance
- Tasks: Lead data strategy and experimentation to drive impactful decisions in education.
- Company: Join Preply, a unicorn Ed-Tech company transforming learning experiences globally.
- Benefits: Enjoy competitive pay, equity, health insurance, and a generous learning allowance.
- Why this job: Shape the future of education while making a real difference for learners worldwide.
- Qualifications: Proven experience in data strategy, experimentation, and strong technical skills.
- Other info: Collaborative culture with opportunities for personal and professional growth.
The predicted salary is between 80000 - 100000 £ per year.
We power people’s progress. At Preply, we’re all about creating life-changing learning experiences. We help people discover the magic of the perfect tutor, craft a personalized learning journey, and stay motivated to keep growing. Our approach is human-led, tech-enabled - and it’s creating real impact. We’ve just reached unicorn status with a $150M Series D, accelerating our vision to transform education through human-led, AI-enhanced learning. Today, 100,000+ tutors teach 90+ languages to learners in 180 countries - and we’re only getting started. As a category-defining company, we’re shaping what the future of learning looks like at global scale. Every Preply lesson sparks change, fuels ambition, and drives progress that matters.
At Preply, data is at the heart of every decision we make. We run hundreds of A/B tests to continually optimize our product, each with its own analytical and tracking challenges. The complexity of our subscription model, along with the unique dynamics of tutor-learner interactions, offers an exciting opportunity for those looking to make a real impact.
As a Staff Data Scientist, you will own the data strategy for a critical product domain (e.g., Growth, Retention, Marketplace) and act as the senior analytical authority in that space. You will partner with Directors and VPs across Product, Engineering, and Business to shape long-term strategy, influence investment decisions, and ensure our roadmap is grounded in rigorous, scalable measurement frameworks. Our Data Team is dedicated to empowering top-quality decision-making.
What you’ll be doing:
- Develop and formalize a strategic understanding of the key value drivers of your domain, including user behavior, marketplace dynamics, pricing, and long-term unit economics - and translate these into actionable decision frameworks used by leadership.
- Define the long-term measurement and experimentation strategy for your domain, identifying structural growth levers and step-change opportunities beyond incremental optimization.
- Design the experimentation programme in your domain and execute, and evaluate large-scale experiments to test new ideas and measure their effectiveness in driving business outcomes.
- Lead deep analytical investigations into customer behavior and retention dynamics, reframing ambiguous business questions into structured analyses that drive step-change improvements in long-term value.
- Own impact modeling and scenario analysis for major product initiatives, enabling quarterly and annual planning decisions through robust forecasting, trade-off analysis, and risk assessment.
- Own the definition and governance of key metrics within your domain, ensuring clarity, consistency, and alignment with company-level objectives.
- Act as a senior thought partner to product, engineering, and data leaders, driving alignment across teams and elevating analytical standards across the organization.
- Lead cross-domain analytical initiatives (e.g., company-wide LTV modeling, pricing strategy, marketplace health framework).
What you need to succeed:
- Demonstrated track record of materially influencing product or business strategy in complex environments, with clear examples of company-level impact.
- Expertise in experimentation and causal inference, including operating under imperfect conditions, resolving ambiguity, and guiding high-stakes decisions where clean experiments are not always feasible.
- Strong understanding of subscription and marketplace economics, including LTV modeling, cohort dynamics, retention mechanics, pricing trade-offs, and long-term value optimization.
- Strong technical proficiency (e.g., SQL, Python) with the ability to review and elevate the analytical work of others, set coding standards, and design scalable analytical workflows.
- Experience mentoring and technically guiding senior data scientists, contributing to the overall growth and maturity of the data organization.
- Curiosity, problem-solving and critical-thinking skills, as well as the ability to proactively identify and address challenges.
- Ability to influence Directors and VP-level stakeholders, navigate conflicting incentives, and drive clarity in high-stakes strategic discussions.
- Interest in the bigger picture, feeling excited to impact the product roadmap and strategy.
Nice to have:
- Background in 2-sided marketplaces or digital businesses (B2C, B2B2C).
- Experience with product analytics tools (e.g. Amplitude, Mixpanel, Heap).
- Experience applying advanced analytical methods (e.g., forecasting, causal modeling, pricing optimization) to drive structural business improvements.
- Familiarity with data visualization tools (e.g., Tableau, Looker, Power BI).
- Master's degree or PhD in a quantitative field.
- Demonstrated experience developing Senior Data Scientists and contributing to raising the analytical bar across teams.
Why you’ll love it at Preply:
- An open, collaborative, dynamic and diverse culture;
- A generous monthly allowance for lessons on Preply.com, Learning & Development budget and time off for your self-development;
- A competitive financial package with equity, leave allowance and health insurance;
- Not in Barcelona? We offer an attractive relocation package to join us in our Preply Barcelona Hub.
- Access to free mental health support platforms;
- Access to Gympass-partnered wellness and gym centers throughout Spain to promote and support well-being and physical health;
- The opportunity to unlock the potential of learners and tutors through language learning and teaching in 175 countries (and counting!).
Our Principles:
- Care to change the world - We are passionate about our work and care deeply about its impact to be life changing.
- We do it for learners - For both Preply and tutors, learners are why we do what we do.
- Keep perfecting - To create an outstanding customer experience, we focus on simplicity, smoothness, and enjoyment, continually perfecting it as every detail matters.
- Now is the time - In a fast-paced world, it matters how quickly we act.
- Disciplined execution - What makes us disciplined is the excellence in our execution.
- Dive deep - We leverage business acumen and curiosity to investigate disparities between numbers and stories, unlocking meaningful insights to guide our decisions.
- Growth mindset - We proactively seek growth opportunities and believe today's best performance becomes tomorrow's starting point.
- Raise the bar - We raise our performance standards continuously, alongside each new hire and promotion.
- Challenge, disagree and commit - We value open and candid communication, even when we don’t fully agree.
- One Preply - We prioritize collaboration, inclusion, and the success of our team over personal ambitions.
Diversity, Equity, and Inclusion: Preply.com is committed to creating an inclusive environment where people of diverse backgrounds can thrive. We believe that the presence of different opinions and viewpoints is a key ingredient for our success as a multicultural Ed-Tech company.
Staff Data Scientist Location: London employer: Preply Inc.
Contact Detail:
Preply Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff Data Scientist Location: London
✨Tip Number 1
Network like a pro! Reach out to current employees at Preply on LinkedIn, and don’t be shy about asking for a chat. It’s a great way to get insider info and show your genuine interest in the company.
✨Tip Number 2
Prepare for the interview by diving deep into Preply’s mission and values. Think about how your skills as a Staff Data Scientist can align with their goals. Show them you’re not just another candidate, but someone who truly cares about making an impact.
✨Tip Number 3
Practice your storytelling skills! Be ready to share specific examples of how you’ve influenced product strategy or tackled complex data challenges. This will help you stand out and demonstrate your expertise.
✨Tip Number 4
Don’t forget to follow up after your interview! A quick thank-you email can go a long way in keeping you top of mind. Plus, it shows your enthusiasm for the role and the company.
We think you need these skills to ace Staff Data Scientist Location: London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Staff Data Scientist role. Highlight your experience with data strategy, experimentation, and any relevant projects that showcase your impact in previous roles.
Showcase Your Technical Skills: Don’t forget to mention your technical proficiencies, especially in SQL and Python. We love seeing how you’ve used these skills to solve complex problems or improve processes in your past work.
Demonstrate Your Impact: Use specific examples to illustrate how you've influenced product or business strategy. We want to see clear evidence of your contributions and how they’ve driven results in your previous roles.
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 shows you’re keen on joining our team!
How to prepare for a job interview at Preply Inc.
✨Know Your Data Inside Out
As a Staff Data Scientist, you'll need to demonstrate a deep understanding of data strategy and analytics. Brush up on your knowledge of user behaviour, marketplace dynamics, and pricing strategies. Be ready to discuss how you've influenced product or business strategy in the past with concrete examples.
✨Showcase Your Experimentation Skills
Preply values experimentation and causal inference. Prepare to talk about your experience designing and executing large-scale experiments. Think of specific instances where you resolved ambiguity and made high-stakes decisions, even when clean experiments weren't feasible.
✨Be a Thought Partner
You'll be acting as a senior analytical authority, so it's crucial to show that you can influence Directors and VPs. Prepare to discuss how you've driven alignment across teams and elevated analytical standards. Highlight your ability to navigate conflicting incentives and clarify strategic discussions.
✨Demonstrate Your Technical Proficiency
Make sure you're comfortable discussing your technical skills, especially in SQL and Python. Be prepared to explain how you've mentored other data scientists and contributed to their growth. This will show that you not only have the skills but also the leadership qualities Preply is looking for.