Data Scientist, Company Planning & Execution
At a glance
Mid-level Data Science role at Spotify. London · no salary stated · we estimate £62,250–£94,375.
Spotify has not published a salary for this role. The figure below is our estimate, not theirs.
dataroles summary, based on the employer's posting.
What you'll do
- Investigate how planning and delivery work by testing hypotheses and sharing findings with different audiences
- Use statistics and machine learning to spot patterns and identify ways to improve company operations
- Create and upkeep data models, pipelines and dashboards that show planning and execution progress
- Turn analysis into recommendations for semi-annual insight reports and regular briefings, explaining why findings matter
- Explore AI and automation to speed up insight production and make findings easier to access
What you bring
- At least five years in a quantitative role, backed by study in science, economics, engineering or a related area
- You can translate complicated, untidy datasets into clear recommendations for non-technical audiences
- You are proficient in SQL and Python and comfortable using BigQuery
Who this fits
This role suits someone curious about how organisations make decisions and who can work across functions and seniority levels. It is based in London, with two to three office days each week.
From the employer
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.
- We offer you the flexibility to work where you work best, with 2–3 days per week in the office.
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