Senior Data Scientist in London

Senior Data Scientist in London

London Full-Time 60000 - 80000 £ / year (est.) Home office (partial)
Preply

At a Glance

  • Tasks: Collaborate with teams to optimise marketing campaigns using advanced data solutions.
  • Company: Join Preply, a unicorn Ed-Tech company transforming education globally.
  • Benefits: Enjoy competitive pay, equity, health insurance, and generous learning allowances.
  • Other info: Dynamic culture with opportunities for personal growth and relocation support.
  • Why this job: Shape the future of education while making a real impact on learners worldwide.
  • Qualifications: Experience in data science, performance marketing, and strong coding skills in SQL and Python.

The predicted salary is between 60000 - 80000 £ 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 personalised 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. Joining Preply means helping define the future of education at global scale, and building something that truly matters for millions of people, every day.

Meet the team: At Preply, we're growing a talented Data Team to empower top-notch decision-making across our organization. Our team collaborates closely with various other chapters - including product, business, and platform - leveraging analysis, experimentation, causal inference, and machine learning. You’ll be embedded in cross-functional teams, partnering with our MarTech Product Manager, Marketeers, Tech Leads, and the Data Strategy team.

What you’ll be doing:

  • Collaborate with performance marketing teams in coming up with data solutions to support the optimization of marketing campaigns, budgets and results;
  • Roll out Marketing Mix Modeling (MMM) to more countries and help build an automated MMM budget platform using advanced Bayesian statistics;
  • Design and analyze incrementality tests to measure marketing effectiveness, applying advanced methods like causal inference to quantify incremental ROI;
  • Design a unified system that connects the dots between MMM and incrementality results;
  • Shape the testing roadmap;
  • Design our Creative Analytics framework, developing new metrics such as creative fatigue to help scale new channels;
  • Improve targeting and bidding strategies by using regression models to assign predictive weights to funnel events;
  • Act as a sparring partner to our Applied AI team: support the roll-out of models, analyze their impact, understand feature importance, and bring both business and data science knowledge to guide these projects;
  • Work closely with the Data Engineering team in the creation of scalable data pipelines while guaranteeing an optimal evolution of our ETL processes, as well as the adoption of new tools and frameworks;
  • Contribute to cross-company initiatives in alignment with our data organization's vision;
  • Support proactively the application of predictive models in performance marketing channels.

What you need to succeed:

  • An AI mindset: you use AI to boost your efficiency, love working agentically, automate processes, and enable your stakeholders with AI;
  • A pragmatic problem-solver at heart: you dig into complexity to find the simplest, most elegant path through it, guided by curiosity rather than a love of complicated models;
  • Extensive experience as a Data Scientist working with performance marketing teams in a B2C environment, delivering business insights and building data products;
  • Knowledge of incrementality and attribution;
  • Skilled in developing and deploying machine learning models;
  • Experience with experimentation (design and evaluation of A/B tests);
  • Experience working in Marketplaces and/or digital business environments, in the context of performance marketing;
  • Strong coding skills in SQL and Python;
  • Creative mindset and proactive attitude towards the creation and evaluation of new solutions;
  • Strong curiosity, problem solving and problem finding skills;
  • Advanced written and verbal communication skills in English.

Nice to have:

  • Previous experience with causal inference techniques (e.g. geo-lift testing, causal impact, synthetic control, difference in differences, etc.)
  • Previous experience with Databricks, Snowflake, Looker;
  • Previous experience with Apache Spark;
  • Knowledge of data orchestration tools (e.g. dbt and Airflow).

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. Every day we focus on empowering tutors to deliver an exceptional learning experience.
  • 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. Now is the time to make great things happen.
  • Disciplined execution - What makes us disciplined is the excellence in our execution. We set clear goals, focus on what matters, and utilize our resources efficiently.
  • 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. We humbly embrace feedback and learn from setbacks.
  • Raise the bar - We raise our performance standards continuously, alongside each new hire and promotion. We build diverse and high-performing teams that can make a real difference.
  • Challenge, disagree and commit - We value open and candid communication, even when we don’t fully agree. We speak our minds, challenge when necessary, and fully commit to decisions once made.
  • One Preply - We prioritize collaboration, inclusion, and the success of our team over personal ambitions. Together, we support and celebrate each other's progress.

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.

Senior Data Scientist in London employer: Preply

At Preply, we foster a vibrant and inclusive work culture that prioritises collaboration and personal growth, making it an exceptional place for a Senior Data Scientist to thrive. With generous benefits including a learning allowance, health support, and a competitive financial package, our Barcelona hub offers a dynamic environment where you can make a meaningful impact on education globally. Join us in shaping the future of learning while enjoying opportunities for professional development and well-being.

Preply

Contact Details:

Preply Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Data Scientist in London

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Preply!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Data Scientist at Preply.

Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Preply.

Apply Directly through Our Website

When you find a suitable opening like Senior Data Scientist at Preply, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Senior Data Scientist in London

Machine Learning
Bayesian Statistics
Causal Inference
Incrementality Testing
Marketing Mix Modelling (MMM)
SQL
Python

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Preply, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Preply. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Preply

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Preply!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.