Data Scientist II -Platform & Partner Experience

Spotify
London, England
18 months ago
Applications closed

Related Jobs

View all jobs
Spotlight

Senior ML Compiler Engineer

Fractile Bristol, United Kingdom
Spotlight

Machine Learning Engineer - National Security (Gloucestershire)

Mind Foundry Gloucester, Gloucestershire, United Kingdom
On-site Clearance Required

Data Scientist II, RufusX Science UK

Amazon London, United Kingdom
On-site

Data Scientist

Randstad Technologies Recruitment London, United Kingdom

Data Scientist

Faculty AI London, United Kingdom
Hybrid

Data Scientist

Guidant Global London, United Kingdom
£600 – £850 pd On-site Clearance Required

Data Scientist

Hays Technology London, United Kingdom
£600 – £1,000 pd

Data Scientist

ISR Recruitment Exeter, Devon, United Kingdom
£50,000 – £60,000 pa Hybrid
Posted
8 Nov 2024 (18 months ago)

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.

Industry Insights

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

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Advertising machine learning jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Machine Learning Jobs UK 2026: What to Expect Over the Next 3 Years

Machine learning has undergone a transformation that few technology disciplines can match. In the space of three years it has moved from a specialism sitting at the edges of most organisations' technology strategies to a capability that sits at the centre of them. The tools have changed, the expectations have shifted, and the range of industries treating machine learning as a core business function — rather than an experimental one — has expanded dramatically. For job seekers, this creates both opportunity and complexity in roughly equal measure. The machine learning jobs market of 2026 is significantly larger than it was three years ago, but it is also significantly more demanding. Employers have developed more sophisticated expectations, the technical bar for specialist roles has risen, and the landscape of tools, frameworks, and architectural patterns that practitioners are expected to know has broadened considerably. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which specialisms are attracting the most investment, which technologies are reshaping what machine learning engineers and researchers are expected to build, and how the definition of a machine learning career is evolving beyond the model-building core toward a much wider range of roles across the full ML lifecycle. This article breaks down what the UK machine learning jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.