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Data Scientist, Company Planning & Execution

Spotify · 🇬🇧 London, United Kingdom

Sponsorship Verification Proof

✓ 🇬🇧 UK Home Office Licensed Sponsor

Employer is on the UK Home Office register of licensed sponsors.

UK Home Office Register of Licensed Sponsors (Skilled Worker route): listed as 'Spotify Limited', London — Skilled Worker; Worker (A rating)

An official government register match confirms the employer holds an active sponsor licence in this country. It does not guarantee that every individual role meets minimum salary or skill thresholds — always confirm sponsorship eligibility with the recruiter.

Verification category
Employer on official sponsor register
Role category
Data
Last verified
2026-10-25
First indexed
2026-10-24
Posted date
2026-08-19
ATS / Feed source
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Role Description (Excerpt)

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…

Excerpt only — read the full requirements and apply directly on Spotify's career page. We do not process applications.