Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Scientist II -Platform & Partner Experience

Spotify
London
10 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist | Edtech | £60k to £70k | Global Business

Data Scientist - Hybrid

Delivering the best Spotify experience possible. To as many people as possible. In as many moments as possible. That’s what the Experience team is all about. We use our deep understanding of consumer expectations to enrich the lives of millions of our users all over the world, bringing the music and audio they love to the devices, apps and platforms they use every day. We are looking for a Data Scientist to join our insights team in Platform & Partner Experiences to help us drive and support evidence-based decisions throughout Spotify’s product development process. Our team is responsible for Spotify’s consumer experiences such as desktop, TV, speakers and smartwatches and for delivering work alongside some of our biggest tech partners. Together with us you will study user behaviour, evaluate critical initiatives and experiment with new features to drive decisions that influence the way the world experiences music, podcasts and audiobooks.

What You’ll Do

You will collaborate with fellow Data Scientists and Data Engineers, and co-operate with cross-functional teams of product managers, engineers, designers and user researchers who are passionate about our consumer experience, to identify and answer key product questions via data. You will be a key partner in our work to build out and deliver innovative product features that create valuable and engaging listening moments in the daily lives of Spotify users. You will perform analysis on large sets of data to extract impactful insights about user behaviour and product usage that will help drive product decisions and guide our strategy. You will communicate insights and recommendations to stakeholders within your team and across Spotify.

Who You Are

You have relevant experience or a degree in statistics, mathematics, computer science, engineering, economics or another quantitative subject area. Previous experience in working as a Data Scientist for consumer-facing digital product development is strongly preferred. You have strong interpersonal skills and are a great stakeholder manager. You are expert in data visualisation and presentation, and can interpret information into clear actions and strategy.  You can tackle loosely defined problems and come up with relevant analytical approach and impactful insights. You have proficiency with Python, or similar programming languages, experience with Google BigQuery & expertise in SQL. You have hands-on knowledge of A/B testing methodologies and experimentation at scale, including application of this knowledge to digital products You enjoy sharpening questions and developing hypotheses, and can collaborate with non-Data Scientists to clarify assumptions and influence decisions. You have extensive experience using various analysis techniques, such as linear and logistic regression, significance testing, and statistical modeling. 

Where You’ll Be

This role will be located in Stockholm or London.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Why the UK Could Be the World’s Next Machine Learning Jobs Hub

Machine learning (ML) is becoming essential to industries across the globe—from finance and healthcare to retail, logistics, defence, and the public sector. Its ability to uncover patterns in data, make predictions, drive automation, and increase operational efficiency has made it one of the most in-demand skill sets in the technology world. In the UK, machine learning roles—from engineers to researchers, product managers to analysts—are increasingly central to innovation. Universities are expanding ML programmes, enterprises are scaling ML deployments, and startups are offering applied ML solutions. All signs point toward a surging need for professionals skilled in modelling, algorithms, data pipelines, and AI systems. This article explores why the United Kingdom is exceptionally well positioned to become a global machine learning jobs hub. It examines the current landscape, strengths, career paths, sector-specific demand, challenges, and what must happen for this vision to become reality.

The Best Free Tools & Platforms to Practise Machine Learning Skills in 2025/26

Machine learning (ML) has become one of the most in-demand career paths in technology. From predicting customer behaviour in retail to detecting fraud in banking and enabling medical breakthroughs in healthcare, ML is transforming industries across the UK and beyond. But here’s the truth: employers don’t just want candidates who have read about machine learning in textbooks. They want evidence that you can actually build, train, and deploy models. That means practising with real tools, working with real datasets, and solving real problems. The good news is that you don’t need to pay for expensive software or courses to get started. A wide range of free, open-source tools and platforms allow you to learn machine learning skills hands-on. Whether you’re a beginner or preparing for advanced roles, you can practise everything from simple linear regression to deploying deep learning models — at no cost. In this guide, we’ll explore the best free tools and platforms to practise machine learning skills in 2025, and how to use them effectively to build a portfolio that UK employers will notice.

Top 10 Skills in Machine Learning According to LinkedIn & Indeed Job Postings

Machine learning (ML) is at the forefront of innovation, powering systems in finance, healthcare, retail, logistics, and beyond in the UK. As organisations leverage ML for predictive analytics, automation, and intelligent systems, demand for skilled practitioners continues to grow. So, which skills are most in demand? Drawing on insights from LinkedIn and Indeed, this article outlines the Top 10 machine learning skills UK employers are looking for in 2025. You'll learn how to demonstrate these capabilities through your CV, interviews, and real-world projects.