Data Scientist

Join Spotify's Company Planning and Execution (CPE) team as a Data Scientist. In this role, you will leverage your analytical skills to drive data-informed decision-making that aligns with our strategic objectives. You will work closely with cross-functional teams to uncover insights that enhance our planning processes and execution strategies.

Join Spotify's innovative team as a Data Scientist in our Subscriptions division! We are looking for a passionate individual who can leverage data to drive impactful decisions and enhance our subscription offerings. You will collaborate with cross-functional teams to analyze data trends, develop predictive models, and contribute to our mission of delivering exceptional user experiences.

Join Spotify as a Backend Engineer specializing in Personalization. In this dynamic role, you will develop and enhance backend systems that deliver personalized experiences to millions of users worldwide. Collaborate with cross-functional teams to design scalable solutions and implement cutting-edge technology that drives user engagement.

Join Spotify as a Product Designer for Live Music, where you will play a pivotal role in shaping the future of music experiences. Collaborate with cross-functional teams to design intuitive and engaging user interfaces that resonate with our vibrant community of music lovers. Your creativity will help redefine how users interact with live music events and content.

At Spotify, we're revolutionizing the way our 600 million listeners across 180 global markets engage with music, podcasts, and audiobooks. Our Personalization team plays a pivotal role in delivering tailored experiences that not only meet user expectations but also encourage exploration of new content. We are on the lookout for a talented Research Scientist specializing in machine learning to help us elevate our personalization strategies to new heights.As a key member of our dynamic research team, you will engage in groundbreaking research, development, and integration of innovative generative AI technologies into our search and recommendation systems. Your work will contribute to creating interactive experiences that redefine user engagement with our platform.Join us in an interdisciplinary environment focused on maintaining and advancing the technological frontiers of Spotify. By publishing your findings, you will not only enhance our internal practices but also contribute to the broader research community. Our team enjoys strong collaborations with both internal product groups and external research entities.Key Expertise Areas: Information Retrieval, Recommendation Systems, Language Technologies, Foundational Models, Generative AI Technologies, and Machine Learning.

Role overview Spotify is hiring a Senior Mobile iOS Engineer in London. The focus of this position is to build and enhance features for the iOS platform, shaping the listening experience for millions of users around the world. What you will do Design and implement new features for Spotify’s iOS app Collaborate with product, design, and engineering teams to deliver polished mobile applications Influence technical decisions that improve user experience and app performance Requirements Proven experience developing mobile applications for iOS Ability to work effectively with cross-functional teams Drive to create solutions that connect with a global audience Spotify Technology S.A. aims to unlock human creativity through the intersection of technology and music.

Join Spotify as a Senior Conversational AI Lead in London, where you'll be at the forefront of AI innovation. You will lead a talented team in designing, developing, and deploying advanced conversational AI solutions that enhance user experiences across our platforms.Your expertise will drive the strategy and execution of our conversational AI initiatives, collaborating with cross-functional teams to ensure seamless integration with our services. You will play a crucial role in shaping the future of how our users interact with music and podcasts.

We invite innovative minds to apply for the role of Research Scientist at our Artist-First AI Music Lab. Our team is at the forefront of developing cutting-edge generative technologies in music, crafting exceptional experiences that resonate with both artists and fans. We aim to redefine the listening experience, prioritizing the voices of artists and creatives in every product we create. Our guiding principles focus on:Collaborative Partnerships: We believe in establishing transparent agreements with record labels, distributors, and music publishers to foster new innovations for artists and fans alike.Empowered Participation: Understanding the diverse perspectives within the artistic community, we offer artists and rights holders the choice to engage with generative tools in alignment with their values.Fair Compensation and New Revenue Streams: Our commitment lies in developing products that generate novel revenue opportunities for rights holders, artists, and songwriters, ensuring they receive fair compensation for their contributions.Strengthening Artist-Fan Relationships: Our AI innovations aim to enhance, not replace, human creativity, providing artists new avenues for expression and connection with their audiences. With over 700 million music listeners each month, we strive to deepen these vital connections.Discover more about our vision in this press release.

Join Spotify as a Senior Fullstack Engineer and play a pivotal role in developing our innovative Data Platform. You will collaborate with cross-functional teams to design and implement robust solutions that enhance our data processing capabilities. This is an exciting opportunity to work with cutting-edge technologies in a dynamic environment.

Join our dynamic Data Processing Product Area at Spotify, where we create innovative platforms and tools that transform the way we process, manage, and leverage data on a massive scale. Our team empowers various departments within Spotify to tackle intricate data challenges with assurance. We emphasize enhancing efficiency, quality, and innovation, enabling engineers and data professionals to accelerate their work while ensuring reliability and cost-effectiveness.

Role Overview Spotify is looking for a Backend Engineer to join the Data Platform team in London. This position focuses on building and improving the backend systems that power Spotify’s data processing and analytics. The work supports a seamless experience for millions of listeners around the globe. What You Will Do Develop and maintain scalable backend systems for data processing and analytics. Work closely with cross-functional teams to optimize Spotify’s data infrastructure. Help ensure high availability and strong performance across backend services. About the Team The engineering team at Spotify values collaboration and technical excellence. The Data Platform group plays a key role in supporting the company’s ability to deliver music and insights at scale.

Join Spotify as a Senior Android Engineer within our innovative Data Platform team. In this role, you will leverage your extensive Android development experience to enhance our data services and deliver optimal user experiences. You will collaborate with cross-functional teams, including product managers and data scientists, to design and implement robust solutions that support our growing user base.

Are you a passionate data scientist looking to make a significant impact in a dynamic environment? Join Marshmallow as a Staff Data Scientist and leverage your expertise to drive innovative data solutions. In this role, you will work closely with cross-functional teams to analyze complex datasets, develop predictive models, and provide actionable insights that enhance our product offerings.

Join our dynamic team at Axle Careers as a Data Scientist, where you will leverage your analytical skills to extract meaningful insights from complex datasets. You will collaborate with cross-functional teams to develop innovative data-driven solutions that enhance business performance and drive strategic decision-making.

Join degree6 as a Data Scientist specializing in the fintech sector, where you will leverage your analytical skills to drive innovation and insights. You will be pivotal in developing data-driven solutions that enhance financial services and contribute to the evolution of our products.

Join degree6 as a Data Scientist in the fast-paced world of fintech. In this pivotal role, you will leverage your analytical expertise to drive data-driven decisions, enhance product features, and create innovative solutions that solve real-world financial challenges. You will work in a collaborative environment, engaging with cross-functional teams to deliver impactful insights and contribute to the advancement of cutting-edge financial technologies.

We are seeking a highly skilled and innovative Lead Data Scientist to join our dynamic team at Faculty. In this role, you will leverage your expertise in advanced analytics and machine learning to drive impactful data-driven solutions. You will lead a team of talented data scientists, guiding them in the development of predictive models and analytical frameworks that support our mission to optimize outcomes across various sectors.

About GoCardlessGoCardless is a pioneering global bank payment platform that empowers over 100,000 businesses, ranging from innovative startups to established brands, to seamlessly collect and send payments through direct debit, real-time payments, and open banking.With an impressive annual processing volume exceeding US$130bn across more than 30 countries, we facilitate both recurring and one-off payments, alleviating the burdens of follow-ups, stress, and high fees. Our AI-driven solutions enhance payment success rates and minimize fraud risks. Additionally, our open banking integration with over 2,500 banks enables our customers to make faster and more informed financial decisions.Headquartered in the UK, with offices in London and Leeds, we also have a presence in Australia, France, Ireland, Latvia, Portugal, and the United States.At GoCardless, we prioritize support and are dedicated to making our hiring process inclusive and accessible. If you require any adjustments or additional support, please reach out to your Talent Partner — we are here to assist you!Remember, we do not expect you to meet every single requirement. If you are enthusiastic about this role, we encourage you to apply!The RoleData is at the heart of our mission. We utilize bank account information to deliver intelligent payment solutions, enhancing payment success rates and preventing payer fraud.As a Senior Data Scientist in our Payment Intelligence team, you will collaborate with Software Engineers, Product Managers, and Designers to transform innovative concepts into reality. You will be responsible for the complete lifecycle of our algorithms, from the initial idea to the production-ready code that drives our global payment network.Our tech stack is centered around Google Cloud Platform and Vertex AI, creating a high-performance environment for innovation. Our Data Scientists work at the intersection of Python, SQL, and BigQuery to develop and deploy high-performance models at scale.Key ResponsibilitiesLead the comprehensive delivery of models at scale, from initial discovery and feature engineering to production, A/B testing, and ongoing monitoring.Collaborate with cross-functional teams to design and implement advanced data-driven solutions.

Role overview Wise seeks a Lead Data Scientist for the Trust and Safety team in London. The main focus is protecting the platform and its users by applying advanced analytics to financial security challenges. This position involves tackling real-world risks and helping to keep Wise’s services safe for everyone. What you will do Analyze large and complex data sets to identify trends and detect suspicious activity Develop and improve models that reduce risk and prevent fraud Collaborate with stakeholders to guide strategic decisions through data-driven insights Shape new methods to strengthen platform security and build user trust Impact The work in this role directly supports Wise’s goal of making money transfers seamless and secure. Efforts here influence how Wise protects its customers and upholds the integrity of its services.