National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Scientist II - Client Platform

Spotify
London
3 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist II, PLS Analytics

Data Scientist III, Planning and Insights

Data Scientist

Applied Scientist II - Computer Vision

Machine Learning Scientist III (Metasearch bidding)

Product Manager III - Artificial Intelligence & Machine Learning Platform

The Platform team creates the technology that enablesSpotify to learn quickly and scale easily, enabling rapid growth inour users and our business around the globe. Spanning manydisciplines, we work to make the business work; creating theframeworks, capabilities and tools needed to welcome a billioncustomers. Join us and help to amplify productivity, quality andinnovation across Spotify. We are an insights team supportingacross the domains of Developer Experience, Client Platform andCore Infrastructure. As a member of the team, you’ll work closelywith a cross functional team of data scientists, data engineers,user researchers, and product managers who are all passionate aboutcreating scalable products for our developers and customers. Yourfocus will be in the Client Platform domain which strives to bringa great experience for client developers at Spotify, and throughthis deliver stable and reliable products for people to enjoy. WhatYou’ll Do - Work closely with cross-functional teams of skilledengineers, data scientists, user researchers, designers, andproduct managers who are all passionate about providing anoutstanding product experience - Define metrics, build dashboardsand create reports and key datasets to empower data-informedproduct development - Perform exploratory analysis to understandwho our users are, how they get value out of our offering and wherewe can further develop our product to bring greater value -Communicate insights and recommendations to key partners, helpingactivate data best practices Who You Are - You have a 4+ years workexperience with an emphasis on programmatic data analysis,reporting, and visualization/ dashboarding with Tableau or similarBI solution - You have proven experience using coding skills suchas Python, SQL and/or R to analyze complex data - You haveexperience or a strong interest in internal tooling and highlycomplex technical domains such as cloud infrastructure, continuousintegration, observability, and software architecture. - You arecurious and not afraid of exploring new domains; you enjoypartnering with others to define and develop new opportunities -You are able to communicate technical information clearly andconcisely. Where You´ll Be - This role is based in London orStockholm. - We offer you the flexibility to work where you workbest! There will be some in person meetings, but still allows forflexibility to work from home. #J-18808-Ljbffr

National AI Awards 2025

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.

10 AI Recruitment Agencies in the UK You Should Know (2025 Job‑Seeker Guide)

Generative‑AI hype has translated into real hiring: Lightcast recorded +57 % year‑on‑year growth in UK adverts mentioning “machine learning”, “LLM” or “gen‑AI” during Q1 2025. Yet supply still lags. Roughly 18,000 core AI professionals work in the UK, but monthly live vacancies hover around 1,400–1,600. That mismatch makes specialist recruiters invaluable—opening stealth vacancies, advising on salary bands and fast‑tracking interview loops. But many tech agencies sprinkle “AI” on their website without an active desk. To save you time, we vetted 50 + consultancies and kept only those with: A registered UK head office (verified via Companies House). A named AI/Machine‑Learning or Data practice.

AI Jobs Skills Radar 2026: Emerging Frameworks, Languages & Tools to Learn Now

As the UK’s AI sector accelerates towards a £1 trillion tech economy, the job landscape is rapidly evolving. Whether you’re an aspiring AI engineer, a machine learning specialist, or a data-driven software developer, staying ahead of the curve means more than just brushing up on Python. You’ll need to master a new generation of frameworks, languages, and tools shaping the future of artificial intelligence. Welcome to the AI Jobs Skills Radar 2026—your definitive guide to the emerging AI tech stack that employers will be looking for in the next 12–24 months. Updated annually for accuracy and relevance, this guide breaks down the top tools, frameworks, platforms, and programming languages powering the UK’s most in-demand AI careers.

How to Find Hidden AI Jobs in the UK Using Professional Bodies like BCS, IET & the Turing Society

Stop Scrolling Job Boards and Start Tapping the Real AI Market Every week a new headline announces millions of pounds flowing into artificial-intelligence research, defence initiatives, or health-tech pilots. Read the news and you could be forgiven for thinking that AI vacancies must be everywhere—just grab your laptop, open LinkedIn, and pick a role. Yet anyone who has hunted seriously for an AI job in the United Kingdom knows the truth is messier. A large percentage of worthwhile AI positions—especially specialist or senior posts—never appear on public boards. They emerge inside university–industry consortia, defence labs, NHS data-science teams, climate-tech start-ups, and venture studios. Most are filled through referral or conversation long before a recruiter drafts a formal advert. If you wait for a vacancy link, you are already at the back of the queue. The surest way to beat that dynamic is to embed yourself in the professional bodies and grassroots communities where the work is conceived. The UK has a dense network of such organisations: the Chartered Institute for IT (BCS); the Institution of Engineering and Technology (IET) with its Artificial Intelligence Technical Network; the Alan Turing Institute and its student-driven Turing Society; the Royal Statistical Society (RSS); the Institution of Mechanical Engineers (IMechE) and its Mechatronics, Informatics & Control Group; public-funding engines like UK Research and Innovation (UKRI); and an ecosystem of Slack channels and Meetup groups that trade genuine, timely intel. This article is a practical, step-by-step guide to using those networks. You will learn: Why professional bodies matter more than algorithmic job boards Exactly which special-interest groups (SIGs) and technical networks to join How to turn CPD events into informal interviews How to monitor grant databases so you hear about posts months before they exist Concrete scripts, portfolio tactics, and outreach rhythms that convert visibility into offers Follow the playbook and you move from passive applicant to insider—the colleague who hears about a role before it is written down.