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For Companies At a Glance
- Tasks: Design and improve data pipelines while leveraging AI for insights.
- Company: Join a dynamic tech company with entrepreneurial teams.
- Benefits: Competitive salary, equity options, flexible hours, and top health insurance.
- Other info: Work remotely or in vibrant cities like Milan, London, or Madrid.
- Why this job: Make a real impact in data science and grow your career rapidly.
- Qualifications: Strong problem-solving skills, ambition, and team spirit required.
The predicted salary is between 85797 - 85797 £ per year.
We are looking for a talented Data Engineer to design and improve data pipelines, ensure data accuracy and scalability, develop internal data products and tooling, support platform-wide decision-making, and leverage AI to accelerate work and uncover insights.
Responsibilities
- Design and improve data pipelines.
- Contribute to the design and evolution of data systems—ensuring data is accurate, reliable, and efficiently processed across diverse tech stacks.
- Ensure data correctness and scalability.
- Work closely with software engineers to validate data, define metrics, and improve the robustness of reporting and analytics systems.
- Develop internal data products and tooling.
- Help build scalable solutions (e.g., reporting engines, forecasting tools) used by product teams across the company.
- Support platform-wide decision-making.
- Partner with multiple teams to provide the analytical and modeling backbone for business planning and performance tracking.
- Leverage AI to accelerate work and uncover insights.
- Use AI tools to move faster, surface ideas and opportunities, and study competing products and trends.
Qualifications
- Reasoning ability. Given the necessary knowledge, you can solve complex problems. You think from first principles, and structure your ideas sharply. You resist the influence of biases. You identify and take care of the details that matter.
- Drive. You’re extremely ambitious in everything you do—and your initiative, effort, and tenacity match the intensity of your ambition. You feel deeply responsible for your work. You hold yourself to a high—and rising—bar.
- Team spirit. You give generously and without the expectation of receiving in return. You support the best idea, not your idea. You’re always happy to get your hands dirty to help your team. You’re reliable, honest, and transparent.
- Proficiency in English. You read, write, and speak proficiently in English.
Benefits
- Incredibly talented, entrepreneurial teams. You’ll work in small, result‑oriented, autonomous teams alongside some of the brightest people in your field.
- An exceptional opportunity for growth. We go to great lengths to hire individuals of outstanding potential—then our priority is to put them in the ideal position to thrive.
- Competitive pay and access to equity. Typically, we offer individuals at the start of their career an annual salary of £85,797 in London and €66,065 elsewhere in Europe. For a candidate that we assess as possessing considerable relevant experience, the salary on offer tends to be between £112,189 and £250,512 in London, and €107,837 and €188,848 elsewhere in Europe.
- If you are offered a permanent contract, you’ll also be able to receive some of your pay in company equity at a discounted price, thus participating in the value creation we achieve together.
- If relocating to Italy, you may enjoy a 50% tax cut.
- Flexible hours, remote working, unlimited backing for learning and training, top‑of‑the‑market health insurance, a rich relocation package, generous parental support, and a yearly retreat to a stunning location.
Commitment & Contract
- Permanent or fixed‑term.
- Full‑time or part‑time.
Location
- Milan (Italy)
- London (UK)
- Madrid (Spain)
- Warsaw (Poland)
- Remote in selected countries
Graduate data scientist in Cambridge employer: Bending Spoons
Contact Detail:
Bending Spoons Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Graduate data scientist in Cambridge
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with alumni from your university. You never know who might have a lead on that perfect data scientist role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving data pipelines or AI tools. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common data science questions and case studies. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format and types of questions you might face.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Graduate data scientist in Cambridge
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Graduate Data Scientist role. Highlight relevant skills and experiences that align with our job description, especially around data pipelines and AI tools.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to showcase your passion for data science and how you can contribute to our team. Be sure to mention specific projects or experiences that demonstrate your drive and reasoning ability.
Showcase Team Spirit: We love team players! In your application, share examples of how you've collaborated with others in the past. Highlight moments where you supported your teammates or contributed to group success without seeking recognition.
Apply Through Our Website: Don’t forget to apply 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 serious about joining our awesome team!
How to prepare for a job interview at Bending Spoons
✨Know Your Data Stuff
Make sure you brush up on your data engineering concepts. Understand how to design and improve data pipelines, and be ready to discuss your experience with data accuracy and scalability. Familiarise yourself with the tech stacks mentioned in the job description, as this will show you're serious about the role.
✨Show Off Your Problem-Solving Skills
Prepare to demonstrate your reasoning ability during the interview. Think of examples where you've solved complex problems using first principles. This is your chance to showcase how you identify important details and resist biases in your work.
✨Team Player Vibes
Since teamwork is key, come prepared with stories that highlight your collaborative spirit. Talk about times when you supported a team idea over your own or helped out a colleague. This will show that you’re reliable and honest, which is exactly what they’re looking for.
✨Get Familiar with AI Tools
As leveraging AI is part of the role, make sure you know about the tools and techniques used in the industry. Be ready to discuss how you've used AI to uncover insights or accelerate work in past projects. This will demonstrate your initiative and ambition.