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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.
- Why this job: Make an impact on major projects and grow your career rapidly.
- Qualifications: Strong problem-solving skills, ambition, and team spirit required.
- Other info: Work remotely or in vibrant cities like Milan, London, or Madrid.
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 London employer: Bending Spoons
Contact Detail:
Bending Spoons Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Graduate data scientist in London
✨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 London
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 Pipelines
Before the interview, brush up on your understanding of data pipelines. Be ready to discuss how you would design and improve them, and think about specific examples from your past experiences that demonstrate your skills in ensuring data accuracy and scalability.
✨Showcase Your Problem-Solving Skills
Prepare to tackle complex problems during the interview. Think through some real-world scenarios where you've had to apply reasoning and structure your ideas sharply. This will show your potential employer that you can think critically and solve issues effectively.
✨Demonstrate Team Spirit
Be ready to share examples of how you've collaborated with others in the past. Highlight instances where you supported team ideas over your own and contributed to a collective goal. This will resonate well with the company’s emphasis on teamwork and collaboration.
✨Leverage AI Knowledge
Familiarise yourself with AI tools relevant to data science. Be prepared to discuss how you’ve used or could use these tools to accelerate work and uncover insights. Showing your enthusiasm for leveraging technology will set you apart as a candidate who is forward-thinking.