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- Tasks: Transform data into actionable insights and collaborate with teams to improve Spotify's strategy execution.
- Company: Join Spotify's innovative Company Planning and Execution team.
- Benefits: Flexible work environment, competitive salary, and opportunities for continuous learning.
- Why this job: Make a real impact by shaping how Spotify operates and delivers value to millions.
- Qualifications: Experience with large datasets, SQL, Python, and data visualisation tools.
- Other info: Work in a dynamic, collaborative culture with excellent career growth potential.
The predicted salary is between 36000 - 60000 ÂŁ per year.
Join our Company Planning and Execution (CPE) team at Spotify and help shape how we turn strategy into action across the company. The CPE team’s mission is to continuously improve how we develop Spotify as a product and a business to unlock the company strategy. We design and evolve the systems, processes, and insights that help Spotify plan and execute at scale, ensuring every team can focus on delivering value to millions of users around the world.
As a Data Scientist, you will work at the intersection of data, strategy, and operations. You will use analytical techniques to uncover insights that guide how Spotify plans, prioritises, and drives execution. You will also explore ways to integrate AI and automation into our workflows and operating model to support smarter and more efficient ways of working.
With access to Spotify’s extensive data ecosystem, you will transform complex information into clear, actionable insights that inform decision-making across teams. Your curiosity and analytical skills will help identify opportunities for improvement and shape how we measure progress and impact.
You will collaborate with analysts, data scientists, engineers, and business partners across Spotify. Continuous learning and experimentation are part of our culture. This role offers the opportunity to grow your craft, contribute to meaningful strategic work, and help refine how Spotify executes at scale.
What You’ll Do- Collaborate with data scientists, analysts, engineers, and business teams to deliver analysis and insights that improve how Spotify executes its strategy.
- Build and maintain reliable data models, pipelines, and dashboards that bring together information from across Spotify’s ecosystem.
- Create scalable and interactive reports and visualisations that turn data into clear insights and actionable recommendations.
- Translate business questions and user needs into analytical approaches that uncover opportunities, inform priorities, and guide decision-making.
- Apply analytical techniques, including statistical models and machine learning, to identify trends and generate insights that improve how we work.
- Integrate AI and automation into data workflows and planning tools to make processes more efficient and intelligent.
- Contribute to improving our data foundations, documentation, and analytical best practices within the CPE team.
- Develop structured narratives and recommendations that help teams understand the “why” behind the data and guide their next steps.
- You have experience analysing large datasets and translating them into actionable insights.
- You are curious and creative, with a focus on accuracy and clarity in your work.
- You have experience turning large, complex datasets into clear insights, recommendations, and stories.
- You enjoy working with technical and business teams to turn data into impact.
- You are comfortable working in a cloud-based data environment such as BigQuery and using modern data tooling like dbt.
- You are proficient in SQL and Python, and have experience building dashboards with tools like Tableau or Looker.
- You have a quantitative background in Computer Science, Statistics, Engineering, or a related field.
- Experience with operational or work management data is a plus.
This role will be based in London OR Stockholm. We offer you the flexibility to work where you work best! There will be some in-person meetings, but still allows for flexibility to work from home.
Data Scientist - Company Planning and Execution (CPE) in London employer: Spotify
Contact Detail:
Spotify Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - Company Planning and Execution (CPE) in London
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works at Spotify. Building relationships can open doors that a CV just can't.
✨Show Off Your Skills
Create a portfolio showcasing your data projects. Whether it's visualisations, dashboards, or machine learning models, having tangible examples of your work can really impress hiring managers and set you apart from the crowd.
✨Ace the Interview
Prepare for your interviews by practising common data science questions and case studies. Don't forget to highlight how your analytical skills can directly impact Spotify's strategy and execution – that's what they're looking for!
✨Apply Through Our Website
Make sure to apply through our website for the best chance at landing that Data Scientist role. It shows you're serious about joining the team and gives us a direct line to your application!
We think you need these skills to ace Data Scientist - Company Planning and Execution (CPE) in London
Some tips for your application 🫡
Show Your Data Skills: Make sure to highlight your experience with large datasets and analytical techniques in your application. We want to see how you've turned complex data into actionable insights, so don’t hold back on those examples!
Tailor Your Narrative: When writing your application, connect your skills and experiences directly to the role. Use the job description as a guide to showcase how you can contribute to our CPE team at Spotify. We love seeing candidates who understand our mission!
Be Clear and Concise: Clarity is key! Ensure your application is well-structured and easy to read. We appreciate straightforward narratives that get to the point while still showcasing your creativity and curiosity.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and keep track of your application. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at Spotify
✨Know Your Data
Make sure you brush up on your data analysis skills before the interview. Be prepared to discuss your experience with large datasets, SQL, and Python. Think of specific examples where you've turned complex data into actionable insights, as this will show your ability to translate data into impact.
✨Understand Spotify's Strategy
Familiarise yourself with Spotify's mission and how the CPE team fits into the bigger picture. Research recent initiatives or changes within the company that relate to data science and strategy. This will help you demonstrate your genuine interest in the role and how you can contribute to their goals.
✨Prepare for Technical Questions
Expect technical questions related to statistical models, machine learning, and data visualisation tools like Tableau or Looker. Practice explaining your thought process when solving analytical problems, as this will showcase your problem-solving skills and your ability to communicate complex ideas clearly.
✨Show Your Curiosity
During the interview, express your curiosity and eagerness to learn. Discuss how you stay updated with industry trends and new technologies, especially in AI and automation. This aligns with Spotify's culture of continuous learning and experimentation, making you a more attractive candidate.
