Data Science Manager - Supply Marketplace

Why Choose PlayStation?At PlayStation, we pride ourselves on being the premier destination for gaming enthusiasts, as well as a top-tier workplace. Our commitment to innovation has positioned us as a global leader in the entertainment industry, delivering exceptional products and services, including the PlayStation®5, PlayStation®4, PlayStation®VR, PlayStation®Plus, and a suite of award-winning titles from PlayStation Studios.We are dedicated to cultivating an inclusive work environment that celebrates diversity and empowers our employees. If you have a passion for technology, innovation, and play, we invite you to explore our exciting job openings and join our expanding global team.The PlayStation brand operates under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Group Corporation.As the Data Science Manager, you will spearhead a talented team focused on experimentation and causal inference, playing a pivotal role in shaping data-driven decision-making and product innovation at SIE. This leadership position marries technical expertise with managerial responsibilities. You will spearhead advanced research in experimentation methodologies while mentoring and supporting a team of skilled data scientists. Your leadership will elevate our experimentation strategy, instill a culture of curiosity and rigor, and empower cross-functional teams to deliver player-centric experiences backed by robust, evidence-based insights.

Why Choose PlayStation?At PlayStation, we pride ourselves on being not just the Best Place to Play, but also the Best Place to Work. As a recognized global leader in entertainment, we create the PlayStation family of products and services, including PlayStation®5, PlayStation®4, PlayStation®VR, PlayStation®Plus, and acclaimed titles from PlayStation Studios.We are committed to fostering an inclusive environment that empowers our employees and celebrates diversity. We invite individuals with a passion for innovation, technology, and play to explore our open positions and join our expanding global team.PlayStation is part of Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Group Corporation.As a Lead Data Scientist, you will spearhead innovation in experimentation and causal inference, influencing the future of decision-making and product innovation at SIE. You will champion cutting-edge research in experimentation methodologies and mentor fellow team members. Your role will focus on enhancing our experimentation strategy, nurturing a culture of curiosity and rigor, and supporting cross-functional teams in delivering player-centered experiences through data-driven decisions.

Senior Data Scientist - ExperimentationBecome a pivotal part of our journey to revolutionize how people shop and dine, with a focus on impact, innovation, and growth. Our Analytics team is central to Deliveroo, enabling informed decision-making across product, commercial, and operational aspects through rigorous experimentation, causal inference, and advanced machine learning techniques.We nurture a vibrant Analytics community, featuring guest lectures, study groups, mentorship programs, and a comprehensive technical review process.Our data scientists come from diverse backgrounds but share a commitment to excellence.We are on the lookout for a Senior Data Scientist to join our London team, with a hybrid work model requiring 3 days in the office. In this capacity, you will empower high-quality, human-led decision-making to maximize our impact.Your ResponsibilitiesAs a Senior Data Scientist at Deliveroo, your primary objective will be to optimize business impact within one of our product domains. A significant aspect of your role will involve designing, executing, and interpreting experiments, along with utilizing causal inference to inform product decisions in complex real-world environments.You will delve deeper than merely answering whether a feature was successful; your focus will be on uncovering the genuine impact, understanding the reasons behind the outcomes, and how results can be applied across various users, markets, and timelines.Here’s a glimpse into your day-to-day activities:Strategic Insights through Experimentation: Spearheading the design of both straightforward and intricate experiments, proactively translating insights into strategic initiatives.Expertise in Causal Inference: Employing sophisticated techniques to assess long-term and varied treatment effects.Deriving Trustworthy Conclusions: Navigating settings with selection bias or imperfect randomization.Generating In-depth Product Insights: Identifying fundamental factors influencing experiment performance, understanding why features thrive, and how results can be generalized across different users, markets, and timelines.Utilizing insights from previous experiments to enhance future decision-making.Your QualificationsProven experience in designing, implementing, and interpreting A/B experiments within production environments.Robust understanding of causal inference concepts.Capacity to apply statistical reasoning to complex real-world product challenges.

Join Datadog as a Senior Customer Data Scientist, where you will collaborate closely with clients to design, implement, and scale impactful experimentation programs. This position is perfect for an individual with extensive expertise in applied experimentation, who excels in customer-facing roles and is driven by achieving measurable business results. You will assist clients in experiment design, metric formulation, and data validation, empowering them to establish reliable, data-driven experimental practices. By working collaboratively with Sales, Product, and Engineering teams, you will play a pivotal role in fostering customer success and enhancing product offerings.At Datadog, we value our office culture, the relationships we forge, and the creativity we inspire. We embrace a hybrid work environment to ensure our team members achieve a work-life balance that suits their needs.

About GoCardlessAt GoCardless, we are pioneers in global bank payment solutions. More than 100,000 businesses, ranging from innovative start-ups to well-established brands, trust us to facilitate seamless payment collections and transfers through direct debit, real-time payments, and open banking.With an impressive annual processing volume of over US$130bn across 30+ countries, we empower our clients to manage both recurring and one-off payments effortlessly, eliminating the hassle of chasing payments and costly fees. Our advanced AI-driven solutions enhance payment success rates and combat fraud effectively. By leveraging open banking connections with over 2,500 banks, we enable 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 inclusivity. Our hiring process is designed to be accessible to all candidates. If you require any adjustments or assistance, please contact your Talent Partner — we are here to support you!We believe that potential outweighs perfection; if you are excited about this opportunity, we encourage you to apply!The RoleData is integral to our mission. We utilize bank account data to create high-value, intelligent payment solutions that enhance payment success and prevent fraud.As the Data Science Manager in our Payment Intelligence team, you will collaborate with Software Engineers, Product Managers, and Designers to convert groundbreaking ideas into reality. You will oversee the entire lifecycle of our algorithms, from initial conception to production-ready code that fuels our global payment network.At GoCardless, our tech stack revolves around Google Cloud Platform and Vertex AI, fostering a high-performance environment for innovation. Our Data Scientists work at the intersection of Python, SQL, and BigQuery to develop and deploy scalable, high-performance models.

At Similarweb, we are transforming how businesses engage with the digital landscape by providing comprehensive insights into online activities.Our unparalleled data and innovative solutions empower over 5,700 clients worldwide, including industry leaders such as Google, Meta, and OpenAI, to make impactful decisions that shape their digital strategies. Since going public on the New York Stock Exchange in 2021, we have consistently achieved new milestones! Join a global team of Similarwebbers who are bright, inquisitive, practical, and genuinely good people.About the RoleWe are on the lookout for a seasoned and motivational Product Data Science Manager to spearhead a customer-oriented team within our dynamic Data Labs division. In this role, you will guide and mentor a talented group of product data scientists while staying closely involved in technical initiatives. Your primary responsibility will be to deliver intricate, tailored insights to some of the most prominent names in the industry, ensuring analytical rigor and significant client impact.This hands-on leadership role merges team management, technical expertise, and collaborative efforts across various functions. You will establish benchmarks, promote best practices, and contribute to the evolution of Similarweb's bespoke data solutions.What does a typical day look like for a Product Data Science Manager (Data Labs) at Similarweb?Lead, mentor, and cultivate a team of customer-facing data analysts, promoting a culture of accountability, excellence, and lifelong learning.Oversee the complete delivery process of complex, customized data products—from client scoping and solution design to execution and ongoing support.Uphold high analytical and technical standards throughout the team, including proficiency in SQL, PySpark, Python, and data validation best practices.Serve as an escalation point for intricate analytical issues, providing hands-on support when necessary.Collaborate closely with Engineering to define scalable infrastructure and productized solutions.Work with Advisory Services and other stakeholders to deliver seamless, high-impact client solutions.Drive process enhancements, knowledge sharing, and documentation to amplify the team’s effectiveness and reach.Balance client demands, team capacity, and delivery timelines while ensuring the highest quality standards.

Join Us as a Product Data Science Manager at Similarweb At Similarweb, we are at the forefront of transforming how businesses engage with the digital landscape, providing unparalleled insights into online activities. Our innovative data and solutions empower a global clientele of over 5,700 customers, including industry leaders like Google, Meta, and OpenAI, to make impactful decisions that shape their digital strategies. Following our public listing on the New York Stock Exchange in 2021, we continue to soar to new heights! Join a diverse team of Similarwebbers worldwide who are intelligent, inquisitive, pragmatic, and dedicated. Role Overview We are seeking a dynamic and experienced Product Data Science Manager to lead a customer-centric team within our dynamic Data Labs group. In this pivotal role, you will mentor and manage a high-performing team of product data scientists while remaining actively involved in the technical aspects of our projects. You will be tasked with delivering intricate, tailored insights to some of the most prominent brands in the industry, ensuring both analytical rigor and significant client impact. This hands-on leadership position merges people management, technical expertise, and cross-functional collaboration. You will set benchmarks, implement best practices, and contribute to the evolution of Similarweb's bespoke data solutions. Daily Responsibilities Lead, mentor, and cultivate a team of customer-focused data analysts, promoting a culture rooted in ownership, excellence, and continuous improvement. Oversee the comprehensive delivery of intricate, custom data products from initial client engagement and solution design through to execution and ongoing support. Uphold high analytical and technical standards within the team, including competencies in SQL, PySpark, Python, and data validation methodologies. Serve as a point of escalation for complex analytical issues, offering practical guidance as needed. Collaborate closely with Engineering to establish scalable infrastructure and productized solutions. Work alongside Advisory Services and other stakeholders to provide seamless, high-impact client solutions. Champion process enhancements, knowledge sharing, and documentation to amplify the team's effectiveness and efficiency. Balance client demands, team capabilities, and project timelines while maintaining a commitment to quality.

Data Science ManagerAt Deliveroo, we are committed to revolutionizing the way people shop and dine. Our mission is driven by a culture of impact, innovation, and growth. The Data Science team is pivotal to our operations, facilitating insightful decision-making for our product, commercial, and operational teams through advanced experimentation, causal inference, and cutting-edge machine learning techniques.We are excited to expand our team by hiring multiple Data Science Managers across various business domains. Instead of slotting you into a predefined role, our recruitment process aims to uncover your unique strengths and interests, enabling us to match you with a position that aligns perfectly with your skills and aspirations.Your ResponsibilitiesAs a Data Science Manager, you will lead the analytical strategy and drive measurable outcomes for a specific product or business area while mentoring a high-performing team of data scientists or machine learning engineers. Your responsibilities will include:Designing and implementing experimentation and causal inference frameworks to enhance customer retention, loyalty, and subscription growth.Spearheading pricing, promotions, and value strategies that balance growth with profitability and long-term customer trust.Creating machine learning or optimization models to enhance delivery logistics, rider pricing, or marketplace efficiency.Enhancing discovery, search, or personalization through rapid iteration on impactful algorithms.Driving customer acquisition and engagement across restaurants, retail, or new verticals using data-driven targeting and incentives.In all roles, you will remain actively engaged while managing your team. You will identify significant problems worth addressing and ensure that data science efforts translate into actionable insights for improved product and commercial strategies. Collaboration with Product, Engineering, Operations, Marketing, and Finance will be essential as you set the standard for analytical rigor, prioritization, and impact amidst complex metrics and stakeholder opinions.Your QualificationsThe ideal candidate will possess strong expertise in some of the following areas while demonstrating a desire to grow in others:Proven experience in managing data scientists or machine learning engineers and facilitating their professional development.A substantial background as a senior individual contributor, with practical experience in experimentation, causal inference, or applied machine learning.Demonstrated skill in identifying high-impact opportunities and transforming them into actionable strategies.

Join Wise as a Senior Data Science Manager in our Marketing team, where you will play a pivotal role in driving data-driven strategies that enhance our global marketing efforts. You will leverage your expertise in data science to analyze market trends, customer behavior, and campaign performance, providing actionable insights that will shape our marketing initiatives.In this position, you will lead a team of data scientists, fostering a collaborative environment that encourages innovation and professional growth. Your leadership will be crucial in developing advanced models and algorithms that optimize our marketing strategies, ensuring we remain at the forefront of our industry.

Who We AreAt The Economist Group (TEG), our mission is to inspire progress. Our diverse businesses are united by a commitment to innovation, independence, and intellectual rigor. We empower individuals and organizations to confront the pressing challenges and transformations shaping our world. Our analytical expertise and global insights provide the clarity needed to navigate these complexities effectively.We deliver high-quality analysis and insights to our subscribers and clients in 170 countries through our esteemed brands: The Economist, Economist Impact, Economist Intelligence, and Economist Education, all of which reflect our global reputation for excellence and integrity.Role Title: Head of Data ScienceLocation: UK-based (with support from India-based teams)Reports to: VP Insights & Decision ScienceTeam: 6 Data Scientists (split between Decision Science and Personalisation)Purpose of RoleThe Head of Data Science is a pivotal leadership role tasked with constructing and leading a premier "decision engine" team. As a principal architect of our "AI-driven future," you will spearhead the evolution of The Economist’s Data Science division from a service-oriented function to a "trusted adviser" that provides commercially transformative insights and top-tier personalisation capabilities.Your responsibilities include establishing and elevating the technical and operational standards of the team, while cultivating a culture centered on technical excellence and innovation.Your role encompasses two vital areas:Decision Science: Developing the capacity for causal inference and sophisticated forecasting to facilitate high-stakes strategic decisions, such as analyzing subscriber behavior and its impact on retention and value, optimizing marketing and media strategies, understanding content performance drivers, and modeling pricing and customer lifetime value.Personalisation: Rapidly enhancing our recommendation and pricing engines to boost subscriber acquisition, engagement, retention, and lifetime value metrics.Measures of SuccessQualitative Measures:Fostering a team environment that prioritizes innovative solutions.Enhancing collaboration across departments to achieve strategic goals.

About Us:At IOG, we are a pioneering technology firm dedicated to exploring and advancing blockchain through rigorous research and development. Our commitment to a scientific methodology in blockchain creation is augmented by our emphasis on peer-reviewed studies and formal methods to guarantee security, scalability, and sustainability.Our innovative projects encompass the Cardano blockchain and extend into various products related to decentralized finance (DeFi), governance, and identity management, all aimed at enhancing the potential and global adoption of blockchain and Web3 technologies.Role Overview:As a Research and Innovation Grants Specialist, you will spearhead the complete lifecycle of grants for foundational blockchain R&D. This includes formal methods, security and scalability, DeFi, governance, and digital identity, as well as their practical applications in innovative projects across various industry sectors. Your responsibilities will encompass identifying and qualifying funding opportunities, developing a robust 12-24 month funding pipeline, formulating bid strategies, composing high-quality applications that align with funder objectives, and overseeing post-award budgets, deliverables, reporting, and compliance. You will coordinate inputs from research, finance, legal, and partnerships while collaborating closely with academic and industry partners to secure ongoing investment that positions our research teams at the forefront of innovation. Success will be measured by increased grant achievements and overall award values, a diversified funding mix, higher proposal win rates, expedited submission processes, timely and compliant reporting, and the creation of reusable bid assets/templates that enhance our quality and consistency in submissions.Key Responsibilities:Grant Scanning & Pipeline Development:Continuously monitor and evaluate funding opportunities from sources such as Horizon Europe, Innovate UK (IUK), National Science Foundation (NSF), and various international programs.Construct and maintain a proactive pipeline of applicable calls in alignment with IOG’s research, innovation, and venture objectives in blockchain and related areas.Grant Application Development:Lead the creation of high-quality grant proposals, encompassing the drafting of technical components, project plans, budgets, and impact narratives.Coordinate contributions from researchers, engineers, and external partners to ensure that applications are comprehensive, precise, and persuasive.Oversee timelines and submission processes for multiple applications concurrently.Project & Partnership Support:Engage with academic institutions, research consortia, and industry collaborators to co-create joint applications.Facilitate the establishment of new partnerships to enhance the competitiveness of our bids.Ensure clear communication and alignment between stakeholders throughout the grant application process.

Data Science ManagerLocation: London (Hybrid) | Practice Area: Data & Analytics | Type: PermanentDrive Data Innovation and Shape Intelligent Solutions.About the RoleJoin our dynamic team as a Data Science Manager where you will spearhead groundbreaking projects utilizing data, artificial intelligence, and machine learning to tackle intricate challenges within the financial services sector. You will lead a team of skilled data professionals, collaborate closely with business stakeholders, and create impactful, scalable solutions that generate significant business outcomes.Your ResponsibilitiesDirect data science teams in designing, developing, and deploying advanced machine learning and AI solutions.Champion the integration of cutting-edge technologies such as generative AI, large language models (LLMs), and agentic AI frameworks.Work in partnership with business and technology teams to align technical deliverables with strategic business objectives.Provide expert guidance and best practices throughout the data science lifecycle, from initial exploration to final deployment.Mentor and nurture data professionals, fostering a culture of innovation and excellence.Ideal Candidate ProfileDemonstrated success in leading data science or AI initiatives from conception through to production.Strong proficiency in Python and key machine learning libraries (e.g., spaCy, NumPy, SciPy, Transformers).Familiarity with big data and cloud technologies (e.g., Spark, Hadoop, Azure, AWS, GCP).In-depth knowledge of MLOps principles, scalable model deployment, and governance.Exceptional communication and stakeholder management abilities with a knack for translating data insights into tangible business value.Desirable AttributesMaster’s or PhD in a quantitative field.Experience within the Banking or Financial Services industry.Familiarity with GenAI, LLMs, and intelligent agent workflows.Experience in DevOps, CI/CD processes, and deploying machine learning systems.A passion for mentoring and developing emerging data talent.Why Capco?Deliver transformative, high-impact data solutions for leading financial institutions.Engage in a collaborative, entrepreneurial consulting environment.Benefit from continuous learning, training, and development opportunities.

Join Anthropic as a Research Engineer specializing in the Science of Scaling, where you will play a pivotal role in advancing cutting-edge AI technologies. Collaborate with a dynamic team to explore innovative solutions that enhance our understanding of scalability in artificial intelligence systems.

Join Wise as a Senior Data Science Manager focused on enhancing our Customer Support operations. In this pivotal role, you will lead a talented team of data scientists, driving data-driven strategies to optimize customer experiences and improve support efficiency. You will collaborate closely with cross-functional teams to analyze customer data, identify trends, and provide actionable insights that influence product development and support initiatives.

Title: Landing Page Optimization and Experimentation ManagerLocation: Hybrid – 3 days per week in our London office near Tower HillPosition: Permanent About PetLabCo….PetLabCo. is the leading direct-to-consumer provider of pet supplements, boasting a remarkable 9-figure revenue and experiencing rapid growth with ambitious global expansion plans. With over 5 million satisfied dogs and a devoted community of pet owners, we are committed to enhancing the lives of pets through our innovative products. Our vibrant team thrives in a fast-paced, customer-centric environment where high performers are recognized and rewarded, making it the perfect place for driven animal lovers eager to advance their careers. A Day In The Life…In our dynamic environment, curiosity, initiative, and a proactive spirit are highly valued. If you relish a variety of tasks, enjoy taking ownership, and aspire to make a significant impact, you’ll fit seamlessly into our pack. Reporting to the Head of Product and Optimization, you will collaborate closely with our Director of Creative Strategy, Media Buying, and Head of Copywriting to develop and implement high-performing landing page strategies, utilizing a test-and-learn methodology to continuously enhance results.Your role will involve improving efficiency across our technology stack, teams, and workflows, ensuring that ideas transition swiftly from insight to execution. A key focus will be on creating and perpetually refining landing experiences that resonate with our website visitors, emphasizing copy and content relevance. Much of your work will support paid media channels, necessitating a strong grasp of the full end-to-end user journey.No two days will be alike. From identifying opportunities within performance data to launching new experiments and delivering impactful landing pages, you will play a crucial role in driving growth. This position integrates creativity, problem-solving, analytical thinking, data storytelling, project management, and effective communication, allowing you to learn quickly, test new concepts, and witness the direct results of your efforts. Your daily responsibilities will include… Continuously monitoring and analyzing growth metrics and campaign performance, transforming data into actionable insights and innovative ideas that unlock new optimization opportunities.Engaging deeply with the strategic processes of our media buying and PPC teams, collaborating closely to launch high-quality landing pages that align with campaigns, respond swiftly to changing marketing demands, and deliver engaging user experiences.Leading multiple landing page initiatives from concept through to launch, ensuring quality and alignment with overall objectives.

Join PA Consulting Group as a Managing Consultant specializing in Transport and Data Science. In this pivotal role, you will leverage your expertise to drive innovative solutions that enhance transportation systems and optimize data analytics. Collaborate with clients from various sectors to deliver impactful insights that shape the future of transport.

About Allica BankAllica Bank is the UK's most rapidly expanding financial technology firm, dedicated to serving established SMEs—a crucial yet neglected segment in the fintech landscape. We aim to empower these businesses, which form the backbone of local economies, accounting for over a third of the economic output.Department OverviewOur Growth department plays a pivotal role at Allica, strategically positioned at the crossroads of marketing, product development, sales, and data analytics. This team is tasked with driving sustainable customer acquisition, engagement, and retention, ensuring our banking solutions effectively target and resonate with SMEs at critical junctures. We approach growth through a dual lens of science and art, leveraging commercial strategy along with in-depth customer insights.Role OverviewAs the Senior Manager of Conversion Rate Optimization & Experimentation, you will take full ownership of Allica's landing page ecosystem and conversion initiatives from end-to-end. This role is highly hands-on; you will analyze funnel data, develop clear hypotheses, and execute solutions directly—building and deploying landing pages, forms, calculators, and multi-step workflows within HubSpot CMS. You will harness AI tools like Claude and ChatGPT to enhance workflow efficiency. A strong commercial focus is paramount; you will measure your success not just by conversion rates but by tracking lead quality and downstream sales outcomes.Key ResponsibilitiesDevelop and manage a prioritized roadmap for conversion rate optimization and experimentation across Allica's primary customer acquisition channels, ensuring alignment with commercial objectives.Identify and analyze conversion bottlenecks pertaining to messaging, user experience, form design, trust signals, and page structure using analytics tools such as GA4, Heap, and HubSpot.Create structured experiments with defined hypotheses and measurement frameworks to drive continuous improvement in conversion performance.

Canva is growing its presence across Europe, the Middle East, and Africa. The Data Science Manager for EMEA Expansion will guide a team of data scientists focused on supporting this growth. The team’s work will help shape strategic decisions and uncover opportunities in these regions. Role overview This position involves leading analytics and machine learning projects from concept to delivery. The manager will coordinate with cross-functional partners to identify business needs and turn complex data into clear, actionable insights. The role emphasizes both team leadership and hands-on technical guidance. What you will do Lead and mentor a team of data scientists working on EMEA-focused projects Drive the development of analytics and machine learning solutions Collaborate with other teams to identify and prioritize business opportunities Translate data findings into recommendations that support Canva’s expansion Requirements Experience managing data science teams Strong background in analytics and machine learning Ability to communicate complex data concepts to non-technical stakeholders Comfort working with cross-functional groups

Wise seeks a Data Science Lead to join the Anti-Money Laundering (AML) Risk team in London. This leadership position centers on building data-driven strategies to improve how Wise detects and manages AML risk throughout its platform. Key responsibilities Analyze complex datasets with cross-functional partners to identify patterns related to AML risk. Create predictive models and risk assessment frameworks that meet regulatory standards. Develop and implement solutions to protect customers and uphold the integrity of Wise's services. Convert data findings into clear recommendations that shape business decisions. Lead, mentor, and support a team of data scientists and analysts, encouraging continuous learning and growth. What we’re looking for Significant experience in data science, particularly in risk modeling and analytics. Ability to work with large, complex datasets and build predictive models. Strong collaboration skills with colleagues from a range of backgrounds. Leadership experience, with a focus on guiding teams and fostering innovation.