At a Glance
- Tasks: Optimise payment systems and drive monetisation strategies through data analysis.
- Company: Join Preply, a unicorn startup transforming education with AI-enhanced learning.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Make a real impact on global education while working with cutting-edge data technologies.
- Qualifications: Experience in data science and a passion for optimising payment operations.
- Other info: Be part of a dynamic team that values innovation and collaboration.
The predicted salary is between 36000 - 60000 £ per year.
This job is brought to you by Jobs/Redefined, the UK's leading over-50s age inclusive jobs board. 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.
Senior Data Scientist - Payments Operations in London employer: Preply
Contact Detail:
Preply Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist - Payments Operations in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with current employees at Preply. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies that highlight your data science projects, especially those related to payments or monetization strategies. This will give you an edge during interviews.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on your data analysis techniques and algorithms. We recommend mock interviews with friends or using online platforms to simulate the experience.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you're genuinely interested in joining the Preply team and making a difference in education.
We think you need these skills to ace Senior Data Scientist - Payments Operations in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Scientist role. Highlight relevant experience in payments operations and data analysis, and don’t forget to showcase any A/B testing projects you've worked on!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about transforming education through data and how your skills can help Preply achieve its goals. Keep it engaging and personal.
Showcase Your Impact: When detailing your past roles, focus on the impact you made. Use metrics and examples to illustrate how your work improved processes or drove results, especially in areas related to payments and monetization strategies.
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 to join our team!
How to prepare for a job interview at Preply
✨Know Your Data Inside Out
As a Senior Data Scientist, you'll need to demonstrate your expertise in data analysis and interpretation. Brush up on your knowledge of statistical methods and machine learning algorithms relevant to payments operations. Be ready to discuss specific projects where you've used data to drive decisions.
✨Showcase Your Collaboration Skills
Since you'll be working closely with product managers, tech leads, and designers, it's essential to highlight your teamwork abilities. Prepare examples of how you've successfully collaborated in cross-functional teams to deliver impactful results. This will show that you can thrive in Preply's dynamic environment.
✨Prepare for Technical Questions
Expect technical questions that assess your problem-solving skills and analytical thinking. Practice coding challenges or case studies related to payments systems. Being able to articulate your thought process clearly will impress the interviewers and demonstrate your fit for the role.
✨Align with Preply's Vision
Familiarise yourself with Preply's mission and values. Be prepared to discuss how your work as a Data Scientist can contribute to transforming education through AI-enhanced learning. Showing genuine enthusiasm for their vision will set you apart from other candidates.