Hybrid Data Scientist - Planning & Execution Insights

Spotify AB; Greater London; Hybrid; GBP 70,000 - 90,000; Full time

Benefits offered by this job

GreenHouse learning program

Flexible share incentives

Global parental leave

All The Feels (employee assistance)

Flexible public holidays

Job summary

Spotify is seeking a Data Scientist for the Company Planning and Execution (CPE) team to transform data into actionable insights that drive planning and execution at scale. You will work with data scientists, engineers, PMs, and business partners to refine how Spotify operates, building data models, pipelines, and dashboards, and applying ML and statistical techniques to generate clear recommendations.

Based in London or Stockholm with 2-3 days in the office, the role emphasizes storytelling

Qualifications

• 5+ years of experience with a quantitative background in science, economics, engineering, or a related field.
• Proficient in SQL and Python, comfortable in BigQuery, and experienced with dbt, Tableau, or Looker.

Responsibilities

• 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.

Skills

Analytical thinking

Interpersonal communication

Storytelling with data

Tools

SQL

Python

BigQuery

dbt

Tableau

Looker

Job description

Spotify is seeking a Data Scientist for the Company Planning and Execution (CPE) team to transform data into actionable insights that drive planning and execution at scale. You will work with data scientists, engineers, PMs, and business partners to refine how Spotify operates, building data models, pipelines, and dashboards, and applying ML and statistical techniques to generate clear recommendations.

Based in London or Stockholm with 2-3 days in the office, the role emphasizes storytelling