At a Glance
- Tasks: Craft optimal payment strategies and conduct deep data analysis to drive performance.
- Company: Join Checkout.com, a leader in fintech powering over 10 billion transactions yearly.
- Benefits: Enjoy a hybrid working model, competitive salary, and opportunities for real ownership.
- Other info: Collaborative culture with opportunities for growth and recognition from day one.
- Why this job: Make a real impact on global digital experiences with innovative payment solutions.
- Qualifications: 3+ years in analytics, SQL/Python skills, and a customer-driven mindset.
The predicted salary is between 60000 - 80000 £ per year.
Company Description
Checkout. com powers payments for over 10 billion transactions yearly and supports more than one billion global shoppers.
It is behind many popular digital experiences such as e Bay, Spotify, Klarna, Uber, and Sony.
Our platform helps businesses deliver effortless digital experiences at scale.
We move fast, think globally, and build teams with exceptional people who are curious and driven to make an impact.
With 20 offices across six continents and London as our headquarters, we’re shaping the future of fintech and we’re just getting started.
- How You’ll Make An Impact
- Deliver expertise and guidance to key merchants by crafting optimal payment strategies.
- Conduct deep‑dive exploratory data analysis to uncover insights and anomalies.
- Conduct experiments and A/B tests to improve performance, including ML‑based solutions.
- Develop cutting‑edge automation tools aimed at monitoring and optimising merchants’ performance.
- Implement robust measurements to assess how proposed solutions impact merchants’ performance and revenue, providing valuable insights for internal and external ROI.
- Collaborate with various teams to ensure an outstanding merchant experience and feed requirements for product development.
- Elevate internal awareness, particularly within the executive team, regarding the full spectrum of merchant services and benefits provided.
- Drive a culture of cross‑team learning and knowledge sharing.
- What We’re Looking For
- 3+ years in an analytical role at a fintech or consultancy, using analysis to make business recommendations.
- Previous experience as a payment analyst or expert is a huge advantage.
- Data‑driven approach, clearly defining success metrics and measuring progress against them.
- SQL / Python knowledge to extract and analyse large datasets from our data warehouse.
- Good knowledge of today’s major e‑commerce and payment technologies and trends.
- Customer‑driven and able to establish robust relationships with assigned customer base.
- Additional Information
We create conditions for high performers to thrive through real ownership, fewer blockers, and work that makes a difference from day one.
Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver.
We work as one team and back each other to succeed.
If you’re ready to grow and make a difference, you’ll be right at home here.
In addition to a collaborative culture, we offer a hybrid working model with flexibility, allowing three days per week in the office to support collaboration and connection.
To learn more about our culture and the role, visit our Careers Page or follow us on Linked In and Instagram.
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Data Scientist - Payment Success employer: Checkout.com
Checkout.com is an exceptional employer that champions a flexible hybrid working model, allowing employees to balance their professional and personal lives effectively. With a strong emphasis on growth and collaboration, the company provides ample opportunities for career development while working alongside talented teams in the dynamic financial services sector in London. Joining Checkout.com means being part of a forward-thinking organisation that values compliance and innovation in payments and product regulation.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist - Payment Success
✨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 Checkout.com!
✨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 Data Scientist - Payment Success at Checkout.com.
✨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 Checkout.com.
✨Apply Directly through Our Website
When you find a suitable opening like Data Scientist - Payment Success at Checkout.com, 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 Data Scientist - Payment Success
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 Checkout.com, 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 Checkout.com. 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 Checkout.com
✨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 Checkout.com!
✨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.
