Senior Data Scientist - Insights | London hub

Preply
Cambridge
3 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist - Insights | London hub

Preply Cambridge, England, United Kingdom


At Preply, we’re all about creating life-changing learning experiences. We help people discover 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. So far, 90,000 tutors have delivered over 20 million lessons to learners in more than 175 countries. Every Preply lesson sparks change, fuels ambition, and drives progress that matters.


Meet the team!


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 Senior Data Scientist – Insights, you will be a key player in shaping the future of our product and driving our strategy forward. Embedded within a cross‑functional squad, you’ll collaborate closely with product managers, tech leads, designers, and other key stakeholders to deliver data‑driven insights that shape business decisions.


What You’ll Be Doing

  • Develop a deep understanding of the dynamics of our product, including user behavior and the economics of Preply’s marketplace.
  • Focus on the continuous improvement of our platform by gathering and analyzing data to uncover valuable insights that will shape product evolution and strategy.
  • Analyze customer behavior and product usage, improve our understanding of what drives retention and effectively communicate findings to both technical and non‑technical stakeholders to drive informed decision‑making.
  • Quantify and model the impact of new product features and initiatives, identifying growth opportunities and contributing to the prioritization of our product roadmap.
  • Help define key performance indicators, tracking events, and engagement metrics that align with business goals and product improvements.
  • Design, execute, and evaluate large‑scale experiments to test new ideas and measure their effectiveness in driving business outcomes.
  • Build strong relationships with data and technical leaders to foster collaboration and drive cross‑team initiatives.

What You Need To Succeed

  • Experience in data analytics working with product teams, experimenting and uncovering opportunities for product optimization.
  • Experience designing and analyzing A/B tests with a strong grasp of relevant statistical concepts.
  • Strong understanding of data analysis concepts such as conversion, LTV, cohort analysis, retention, etc.
  • Proficiency in one or more programming languages (e.g., SQL, Python), with the ability to write efficient and scalable code.
  • Curiosity, problem‑solving and critical‑thinking skills, as well as the ability to proactively identify and address challenges.
  • Ability to craft compelling stories with data and communicate complex insights in a clear and engaging way, driving change among diverse stakeholders.
  • 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 (B2B, B2C, B2B2C).
  • Experience with product analytics tools (e.g., Amplitude, Mixpanel, Heap).
  • Familiarity with machine learning techniques and how they can be applied to enhance user behavior predictions or product recommendations.
  • Familiarity with data visualization tools (e.g., Tableau, Looker, Power BI).
  • Master’s degree or PhD in a quantitative field.
  • Previous experience in mentoring or coaching others.

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.
  • Access to free mental health support platforms.
  • The opportunity to unlock the potential of learners and tutors through language learning and teaching in 175 countries (and counting!).
  • We’re passionate about our work and care deeply about its impact to be life‑changing.

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. That means that Preply will consider all applications for employment without regard to race, color, religion, gender identity or expression, sexual orientation, national origin, disability, age or veteran status.


Job Details

  • Seniority level: Mid‑Senior level
  • Employment type: Full‑time
  • Job function: Engineering and Information Technology
  • Industries: Technology, Information and Internet


#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.