Data Scientist - Company Planning and Execution (CPE)

Spotify; Greater London; Hybrid; GBP 50,000 - 70,000; Full time

Job summary

A leading music streaming service is seeking a Data Scientist to collaborate with teams in London or Stockholm. The role involves analyzing large datasets, building data models, and applying machine learning techniques to enhance decision-making. Candidates should have proficiency in SQL and Python, as well as experience with data visualization tools. This position promotes continuous learning and provides flexible working options, emphasizing inclusivity and support for all employees.

Benefits

Flexible work arrangements

Learning and development opportunities

Inclusive culture

Qualifications

• Experience analyzing large datasets and translating them into actionable insights.
• Comfortable in a cloud-based data environment such as BigQuery.
• Proficient in SQL and Python.

Responsibilities

• Collaborate with teams to deliver analysis and insights.
• Build and maintain reliable data models and dashboards.
• Apply analytical techniques to improve processes.
• Integrate AI into data workflows to increase efficiency.

Skills

Analytical skills

SQL

Python

Communication

Data visualization

Machine learning

Data visualization

Cloud-based data environments

Education

Computer Science

Statistics

Engineering

Tools

BigQuery

Tableau

Looker

dbt

Job description

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 across 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, prioritizes, 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’ll 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 visualizations 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

Who You Are

• You have experience analyzing 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

Where You’ll Be

• 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.

Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward‑thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.

At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know— we’re here to support you in any way we can.

Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.