Senior Data Scientist - Payments Operations in City of London
Senior Data Scientist - Payments Operations

Senior Data Scientist - Payments Operations in City of London

City of London Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Analyse payment processes and optimise workflows to enhance user experience.
  • Company: Join Preply, a unicorn Ed-Tech company transforming education globally.
  • Benefits: Enjoy competitive pay, equity, health insurance, and a learning budget.
  • Why this job: Make a real impact on education while working with cutting-edge data analytics.
  • Qualifications: 4+ years in fraud management and payment operations analytics required.
  • Other info: Collaborative culture with opportunities for personal and professional growth.

The predicted salary is between 36000 - 60000 £ 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, 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 Data Scientist for the Payments Operations (PayOps) team, you will play a crucial role in optimizing our payments ecosystem and driving our monetization 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. Your work will focus on analyzing and improving payment workflows, including checkouts, pay-ins, and payouts, to ensure a seamless experience for our students and tutors alike, as well as leading our Fraud management function. Our Data Team is dedicated to empowering top-quality decision-making.

What you’ll be doing:

  • Develop a deep understanding of the Payment Operations dynamics of our product, including user behavior and the economics of Preply’s marketplace.
  • Analyze data related to payment processes, including pay-ins and pay-outs, to uncover insights and identify opportunities for optimization.
  • Monitor transaction performance to detect and troubleshoot anomalies in payment flows (e.g., failed transactions, latency issues, fraud patterns).
  • Lead systematic analysis of fraud and risk patterns, including regular review, cleaning, and optimization of existing risk rules, and the development of data-driven, smart rules that go beyond static or manual blocks.
  • Act as a key data partner to ML Platform and AI teams, bridging Product, Payouts, and Payment Operations with advanced analytics and modeling capabilities, ensuring data science fully complements product and operational ownership in payments and fraud.
  • 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:

  • At least 4 years of experience in fraud management and payment operations analytics, including ML‑based fraud systems, pattern analysis, rule management, and product optimization through experimentation.
  • 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.
  • Experience with advanced statistical modeling, predictive analytics or machine learning.
  • 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 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;
  • 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!).

Preply is committed to creating an inclusive environment where people of diverse backgrounds can thrive. We 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.

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 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 - Payments Operations in City of London employer: Preply

At Preply, we foster a vibrant and inclusive work culture that prioritises collaboration and personal growth, making it an exceptional employer for those passionate about transforming education. With generous benefits including a monthly allowance for lessons, a dedicated Learning & Development budget, and access to wellness resources, our team members thrive both personally and professionally. Located in the heart of Barcelona, we offer an attractive relocation package, ensuring that every employee can contribute to our mission of empowering learners and tutors across the globe.
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Contact Detail:

Preply Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Data Scientist - Payments Operations in City of London

✨Tip Number 1

Get to know the company inside out! Before your interview, dive deep into Preply's mission and values. Understanding how they power people’s progress will help you connect your skills to their goals.

✨Tip Number 2

Practice makes perfect! Run through common interview questions related to data science and payments operations. Use real examples from your experience to showcase your problem-solving skills and analytical mindset.

✨Tip Number 3

Network like a pro! Reach out to current or former Preply employees on LinkedIn. A friendly chat can give you insider tips and might even lead to a referral, which can boost your chances of landing that job!

✨Tip Number 4

Don’t forget to follow up! After your interview, send a thank-you email expressing your appreciation for the opportunity. It shows your enthusiasm and keeps you fresh in their minds as they make their decision.

We think you need these skills to ace Senior Data Scientist - Payments Operations in City of London

Fraud Management
Payment Operations Analytics
Machine Learning
A/B Testing
Statistical Analysis
Data Analysis
SQL
Python
Predictive Analytics
Critical Thinking
Data Storytelling
Product Optimization
Collaboration
Experiment Design

Some tips for your application 🫡

Know Your Stuff: Before you start writing, make sure you understand the role inside out. Dive into the job description and highlight the key skills and experiences they’re looking for. This will help you tailor your application to show that you’re the perfect fit!

Be Authentic: When you’re writing your application, let your personality shine through! We want to see who you are beyond your qualifications. Share your passion for data science and how it aligns with our mission at Preply. Authenticity goes a long way!

Showcase Your Achievements: Don’t just list your past jobs; tell us about your achievements! Use specific examples of how you’ve made an impact in previous roles, especially in fraud management and payment operations. Numbers and results speak volumes!

Apply Through Our Website: We encourage you to apply directly 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 our team at Preply!

How to prepare for a job interview at Preply

✨Know Your Numbers

As a Senior Data Scientist, you'll be expected to dive deep into payment operations. Brush up on key metrics like conversion rates, LTV, and cohort analysis. Be ready to discuss how you've used these metrics in past roles to drive decisions and improvements.

✨Showcase Your Analytical Skills

Prepare to talk about your experience with A/B testing and statistical modelling. Bring examples of experiments you've designed and the insights gained from them. This will demonstrate your ability to optimise processes and contribute to product development.

✨Communicate Complex Insights Clearly

You’ll need to craft compelling stories with data. Practice explaining complex analyses in simple terms. Think of examples where your insights led to significant changes or improvements, and be ready to share those during the interview.

✨Emphasise Collaboration

Preply values teamwork, so highlight your experience working with cross-functional teams. Discuss how you've collaborated with product managers, tech leads, and designers to achieve common goals, especially in the context of payments and fraud management.

Senior Data Scientist - Payments Operations in City of London
Preply
Location: City of London

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  • Senior Data Scientist - Payments Operations in City of London

    City of London
    Full-Time
    36000 - 60000 £ / year (est.)
  • P

    Preply

    100-200
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