At a Glance
- Tasks: Design and implement data models, collaborate with teams, and uncover insights.
- Company: Join Checkout.com’s #NextGen Graduate Program for a dynamic start in FinTech.
- Benefits: Enjoy a hybrid working model, flexible schedule, and professional development opportunities.
- Other info: Be part of a global community with networking events and mentoring opportunities.
- Why this job: Gain hands-on experience in digital payments and technology while making a real impact.
- Qualifications: Bachelor's or master's in a quantitative field; programming skills in Python and SQL required.
The predicted salary is between 28000 - 38000 £ per year.
As part of Checkout.com’s #NextGen Graduate Program, you’ll work alongside experienced professionals, gaining hands‑on experience and a comprehensive introduction to digital payments and technology. The program offers an extensive learning experience through technical training, professional development workshops, and direct access to industry experts.
You will be part of a global Early Careers, Graduate community, with regular networking events, mentoring opportunities, and social activities designed to build connections and accelerate your growth and leadership potential. By the end of the scheme, you’ll be equipped with the knowledge, experience, and confidence to make a lasting impact at Checkout.com and beyond.
Your Impact
- Build data foundations: design and implement high-performance, reusable data models within our modern data stack, and enable users to access the products via our analytics tools.
- Collaborate across teams: work with product managers, engineers and analysts to translate complex business requirements into data insights to underpin our competitive advantage.
- Own the performance: continuously uncover insights, identify opportunities and help our teams to measure the ROI.
Qualifications
- A bachelor’s degree or master’s in a quantitative field (e.g., Data Science, Business Analytics, Computer Science, Engineering, Mathematics).
- Graduated by July 2026 or within the last two years.
- Proficiency in programming with Python and interrogating data with SQL.
- Strong problem‑solving skills and a keen eye for detail.
- Proactive, curious and a genuine interest in FinTech and analytics.
- Excellent communication skills for explaining findings to technical and non‑technical audiences.
Benefits
- Hybrid working model: three days per week in the office to support collaboration and connection.
- Flexible schedule to support work‑life balance.
Graduate, Data Science & Analytics employer: 0026 Checkout Technology Ltd
Checkout.com is an exceptional employer that prioritises the growth and development of its employees through its #NextGen Graduate Program. With a strong focus on hands-on experience, technical training, and networking opportunities, graduates are empowered to thrive in a collaborative environment that fosters innovation and leadership. The hybrid working model and flexible schedules further enhance work-life balance, making Checkout.com a rewarding place to launch your career in data science and analytics.
Contact Details:
0026 Checkout Technology Ltd Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Graduate, Data Science & Analytics
✨Tip Number 1
Network like a pro! Attend industry events, webinars, and meetups to connect with professionals in the data science and FinTech space. Don’t be shy—reach out on LinkedIn and ask for informational chats; you never know where a conversation might lead!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and SQL. Share your work on platforms like GitHub or even your own website to demonstrate your capabilities to potential employers.
✨Tip Number 3
Prepare for interviews by practising common data science questions and case studies. Use mock interviews with friends or mentors to build confidence and refine your communication skills—being able to explain complex concepts simply is key!
✨Tip Number 4
Apply through our website! We’re always on the lookout for fresh talent, so don’t hesitate to submit your application directly. Tailor your approach to highlight your passion for analytics and how you can contribute to our team at Checkout.com.
We think you need these skills to ace Graduate, Data Science & Analytics
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role. Highlight your relevant skills in data science and analytics, and don’t forget to mention any projects or experiences that showcase your programming prowess in Python and SQL.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about FinTech and how your background makes you a great fit for the Graduate Programme. Keep it engaging and personal!
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled complex problems in the past. This could be through academic projects or internships. We love seeing how you think and approach challenges!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way to ensure your application gets to us directly. Plus, you’ll find all the info you need about the programme right there.
How to prepare for a job interview at 0026 Checkout Technology Ltd
✨Know Your Data
Brush up on your data science fundamentals, especially Python and SQL. Be ready to discuss how you've used these skills in past projects or coursework. This will show your technical prowess and genuine interest in the field.
✨Understand the Company
Do some homework on Checkout.com and its role in the FinTech space. Familiarise yourself with their products and recent developments. This knowledge will help you tailor your answers and demonstrate your enthusiasm for the company.
✨Prepare for Problem-Solving Questions
Expect questions that test your analytical thinking and problem-solving abilities. Practice explaining your thought process clearly, as this is crucial for translating complex data insights into actionable business strategies.
✨Show Your Curiosity
During the interview, express your eagerness to learn and grow within the role. Ask insightful questions about the team dynamics, mentorship opportunities, and how you can contribute to the company's goals. This will highlight your proactive nature and commitment to personal development.
