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

Apply Now

Data Scientist – Cost Engineering (FinOps)

Spotify
City of London
20 hours ago
Create job alert

At Spotify, we believe in the power of creativity to change the world. To make that possible, we need to build and scale our infrastructure in a way that’s both cost-efficient and climate-conscious. That’s where you come in.


We are looking for a Data Scientist to join the Cost Engineering Product Area, whose mission is to drive sustainability through cost and climate intelligence, amplifying Spotify's ability to deliver creativity to the world. Cost Engineering is responsible for optimizing the cost and carbon footprint of our infrastructure and software. Our team operates at the intersection of technology, product, procurement, and finance, making it one of the most dynamic and impactful places to work at Spotify.


As an Analytics Specialist in Cost Engineering, you’ll build decisions that drive Spotify’s technological and financial trajectory. By revealing impactful findings, you'll assist us in improving both expenses and environmental impact, allowing Spotify to expand sustainably while minimizing our climate influence.


What You'll Do

  • Pinpoint the key opportunities for optimizing costs and reducing carbon impact, teaming up with Engineering to propel them forward.
  • Provide insights that directly influence Procurement and Technology Infrastructure strategies, shaping how Spotify invests in and scales its infrastructure.
  • Take ownership of our cloud carbon emissions reporting methodology and tooling, ensuring it continues to evolve in close collaboration with the Head of Climate and Sustainability.
  • Work with Engineering to build new datasets that power the next generation of carbon and cost intelligence tools.
  • Make a direct impact on Spotify’s sustainability journey, reducing both costs and carbon emissions at massive scale.
  • Be part of a mission-driven team that combines deep technical expertise with tangible business impact.

Who You Are

  • A data scientist with proven experience delivering insights that influence business and technical strategy.
  • Hold a degree in data science, computer science, statistics, economics, mathematics, or another quantitative field.
  • Thrive in environments with high uncertainty, using data to cut through ambiguity and recommend clear paths forward.
  • An excellent communicator who can tell compelling stories with data, making sophisticated topics understandable and inspiring for varied audiences.
  • Familiar with accounting and financial concepts and able to connect numbers to real-world impact.
  • Collaborative by nature—valuing positive relationships with colleagues and cross‑functional partners.
  • Hands‑on experience with cloud cost optimization (GCP preferred) and emissions reporting methodologies.
  • Skilled in tools like Python, DBT, BigQuery, SQL, and Tableau to turn sophisticated data into actionable insights.

Where You'll Be

  • We offer you the flexibility to work where you work best! For this role, you can be within the EMEA region as long as we have a work location (excluding France due to on‑call restrictions).
  • This team operates within the Central European and GMT time zone for collaboration.

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.


#J-18808-Ljbffr

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Analyst / Data Scientist

Data Analyst / Data Scientist

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.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.