Real job — pulled straight from Spotify’s careers page · Verified September 2, 2026 · No reposts.
Job description
Spotify is hiring a Data Scientist, Company Planning & Execution — a full-time, based in London role. Apply directly on Spotify's careers page below.
Data Scientist, Company Planning & Execution
Team: Company Planning
Location: Stockholm, London
Commitment: Permanent
Workplace Type: hybrid
How does a company with thousands of people building hundreds of products stay focused on what matters most? That's the question the Company Planning and Execution (CPE) team works on every day. We design the systems, processes, and insights that help Spotify plan, prioritise, and deliver at scale.
As a Data Scientist on CPE, you'll sit at the intersection of data, strategy, and operations. You'll bring clarity to complex questions by turning operational and strategic information into clear stories, recommendations, and decision frameworks that help leaders and teams act faster and smarter. You'll also explore how AI and automation can change the way people access insights and make decisions.
You'll work closely with data scientists, engineers, PMs, and business partners across the company to help refine how Spotify executes at scale. If you like making sense of ambiguity, care about how organisations work, and want your analysis to shape real decisions, this is the role.
What You'll Do
- Formulate hypotheses related to how Spotify plans and delivers, and communicate insights effectively to a range of audiences.
- Apply analytical techniques — including statistical models and machine learning — to identify trends and generate insights that improve how we work.
- Build and maintain the data models, pipelines, and dashboards that provide visibility into how Spotify plans and executes.
- Develop structured narratives and recommendations — not just charts, but the "why" and "so what" — in our semi-annual Planning and Execution Insight reports and recurring briefings.
- Explore how AI and automation can make insights faster to produce and easier to access across the company.
Who You Are
- Curious about how organisations work — not just the data, but the decisions and systems behind it.
- 5+ years of experience with a quantitative background in science, economics, engineering, or a related field.
- Strong interpersonal skills and comfortable working with multiple stakeholders across levels and functions.
- Able to take messy, complex datasets and turn them into clear recommendations and stories that land with non-technical audiences.
- Proficient in SQL and Python, comfortable in BigQuery, and experienced with tools like dbt, Tableau, or Looker.
- Experience with operational or work management data is a plus.
Where You'll Be
- This role is based in London or Stockholm.
- We offer you the flexibility to work where you work best, with 2–3 days per week in the office.
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Frequently asked questions
What skills are required for Data Scientist, Company Planning & Execution at Spotify?
The required skills for Data Scientist, Company Planning & Execution at Spotify include: SQL, Python, BigQuery, dbt, Tableau, Looker, Machine Learning, AI.
What is the seniority level for Data Scientist, Company Planning & Execution at Spotify?
Data Scientist, Company Planning & Execution at Spotify is a Senior level position.
How do I apply for Data Scientist, Company Planning & Execution at Spotify?
You can view the full description and apply for Data Scientist, Company Planning & Execution at Spotify on EchoJobs: https://echojobs.io/job/spotify-data-scientist-company-planning-execution-dyhls.