AI Product Manager - Data Science

Join Vitol as an AI Product Manager in the Data Science division, where you will lead the development of innovative AI solutions that drive business value. Collaborate closely with cross-functional teams to enhance product offerings and create data-driven strategies that optimize operations.

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.

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.

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.

Role Overview Prolific is hiring a Data Science Manager to join the Supply Marketplace team. This role can be based in London or remote within the UK. What You Will Do Lead a team of data scientists focused on marketplace performance. Guide the team in uncovering insights that shape data-driven strategies. Work closely with colleagues across departments to improve user experience and operational efficiency. Use data to support decision-making and encourage innovation within the team. About the Team The Supply Marketplace team at Prolific collaborates across disciplines to optimize how users interact with the platform. Data plays a central role in shaping both strategy and day-to-day improvements.

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 Wavestone as a Senior Consultant or Manager in our Data and AI division, where you will play a pivotal role in shaping innovative solutions for our clients. You will leverage your expertise in data analytics, artificial intelligence, and strategic consulting to drive impactful results. Collaborate with cross-functional teams to deliver high-quality projects that enhance business performance.

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.

Lead Technical Product Manager, Operations AI & DataThe TeamThe Product Management Technology team serves as the digital backbone of On's innovative product creation process. Our strategic product leaders collaborate with essential business functions, including R&D, Design, Sourcing, and Supply Chain, to construct the platforms and systems that fuel On's growth.Our mission is to develop a seamless, intelligent, and efficient digital ecosystem that empowers our teams to design and deliver the next generation of groundbreaking products. As internal entrepreneurs, we are deeply integrated within the business, identifying complex challenges and constructing elegant, scalable solutions.Joining our team offers you the unique chance to drive significant transformation and leave a tangible impact on the future of one of the world's most exciting brands.The RoleAt On, our supply chain is the backbone of our global operations. We are in search of a visionary Lead Technical Product Manager to lead the next evolution of our supply chain through the power of Artificial Intelligence and data.In this pivotal leadership role, you will serve as the bridge between our intricate operational challenges and state-of-the-art data solutions. You will identify high-impact opportunities where data, AI, and automation can transform our planning, logistics, and decision-making processes. Your expertise in understanding business needs, data, and the possibilities of AI will help define a compelling product vision and guide our AI, data, and engineering teams to create solutions that deliver exceptional value.As a Lead, you will also play a critical role in mentoring other product managers and shaping the product culture within the team.What You'll DoOwn the Data & AI Product Vision: Develop and advocate for a clear product strategy and roadmap for Data & AI-driven initiatives within the supply chain domain.Identify Opportunities: Collaborate closely and build relationships with supply chain stakeholders to thoroughly understand their processes, data challenges, and automation pain points.Translate Problems into Solutions: Convert ambiguous business challenges into well-defined product requirements, user stories, and specifications for our data science and engineering teams to drive measurable value.Prioritize for Impact: Create and manage a data-driven product backlog, prioritizing features and initiatives that provide the highest value to the business.Define Success: Establish and monitor key performance indicators (KPIs) to assess the effectiveness and impact of your AI/data products in collaboration with analytics.

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.

Location: Hybrid in London, United Kingdom Role Overview iwoca is seeking a Director of Data Science & Artificial Intelligence to lead its data science division. This leadership role involves managing a skilled team focused on building probabilistic and statistical models that drive real-time lending decisions. The position also plays a central part in integrating AI across the company, setting the direction for how AI enhances capabilities both within and beyond the data science team. About iwoca iwoca supports small businesses with financing that matches their changing needs. By combining technology, data science, and a customer-first approach, iwoca has delivered over £4 billion in funding to more than 100,000 businesses. The company’s goal is to empower one million SMEs, helping them grow and strengthen their communities and local economies. Team Focus The data science team creates models that directly impact lending decisions, forecasting, and commercial strategies. Their work is implemented in production code and has a tangible effect on business outcomes. Collaboration is key, with close partnerships across engineering, product, and commercial teams. The Director will lead initiatives to embed AI into these processes and drive further innovation. What You Will Do Define and shape the operating structure of a technically strong data science team Guide the adoption of AI across the business, identifying where it can boost productivity or accelerate processes Evaluate the suitability of AI tools and approaches for different business needs Challenge assumptions and recommend when alternative solutions may be more effective than AI Apply deep knowledge of modeling to determine the best use of AI and data science for business impact

At NiCE, we refuse to limit our challenges; instead, we constantly challenge our boundaries. We are ambitious innovators, striving to be game changers, and we are fully committed to winning. Our standards are set exceptionally high, and we consistently execute beyond those expectations. If you share our passion, we have an incredible career opportunity awaiting you that will ignite your enthusiasm.What does the role entail?We are in search of a Product Manager to lead and manage the development of our Customer Experience Automation and Analytics products, with a keen emphasis on data, analytics, and intelligent automation, including AI-powered solutions.In this position, you will collaborate closely with engineering, data science, and go-to-market teams to pinpoint customer challenges, define product strategy, and deliver valuable, high-quality solutions. This role is ideal for someone adept at navigating the entire product lifecycle from discovery to launch while balancing customer needs with technical constraints and commercial objectives.How will you create impact?Lead the product roadmap for designated CX automation, analytics, and intelligent capabilities (including AI), from discovery through launch and subsequent iterations.Engage with customers, partners, and internal stakeholders to identify issues, validate opportunities, and outline clear objectives.Convert customer and business needs into well-defined product specifications, user stories, and prioritized backlogs.Collaborate closely with engineering and data science teams to develop solutions that are both technically robust and commercially viable.Prioritize features, improvements, and bug fixes based on customer value and effort required.Serve as a product expert and advocate, assisting internal teams (Sales, Services, Support) and interacting directly with customers as required.Support product launches, including positioning, enablement, and post-launch feedback mechanisms.Stay informed about market trends, competitors, and emerging technologies in AI, data, analytics, and automation, integrating insights into product strategy.

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.

Role Overview Veeva Systems Inc. is hiring a Data Product Manager for OpenData MENA. This position focuses on building and shaping Veeva’s reference data products for the life sciences sector, supporting commercial and medical operations for pharmaceutical and biotechnology companies worldwide. Impact and Purpose Veeva is a Public Benefit Corporation (PBC), balancing purpose with profit. The OpenData team’s work helps speed up the delivery of life-saving treatments. The company values autonomy, accountability, and quick decision-making. What You Will Do Own and develop the product roadmap for OpenData in the Middle East and North Africa (MENA) region Manage and improve data pipelines Shape product strategy across 12 countries Identify and assess new market opportunities Lead cross-functional projects from start to finish Who We’re Looking For Bilingual in English and Arabic Strong technical background in data analytics or engineering Experience managing data products or data operations Comfortable working independently and taking initiative Location and Travel Remote role open to candidates based in the UK, Germany, or Spain Travel up to 10% expected

Join Our Team as an AI Product ManagerAre you passionate about the intersection of artificial intelligence and product innovation? At Ment, we are looking for an AI Product Manager who will take the lead in shaping our AI-driven product strategy and execution. This full-time role offers you the opportunity to work at the forefront of AI research and practical applications, collaborating with talented teams to create impactful solutions.Key Responsibilities:Develop and implement a comprehensive product roadmap for AI/ML functionalities.Collaborate with technical teams to prototype and test the latest AI models, including LLMs, multimodal AI, and generative systems, utilizing frameworks like PyTorch and TensorFlow.Design and refine AI workflows, focusing on prompt engineering and fine-tuning methodologies.Conduct thorough market research and competitive analysis within the AI sector.Work closely with engineering, design, and data science teams to successfully launch AI products.Establish and communicate success metrics, presenting the product vision to senior leadership.Stay updated on emerging AI research and evaluate its relevance to product development.

At Swap, we are revolutionizing the landscape of modern agentic commerce through our innovative AI-native platform. Our technology seamlessly integrates backend operations with an advanced storefront experience, empowering brands to sell anything, anywhere.Designed for forward-thinking brands, Swap centralizes global operations, enhances intelligent workflows, and enables margin-protecting decisions utilizing real-time data. Our comprehensive product suite encompasses cross-border logistics, tax management, returns processing, demand planning, and our pioneering agentic storefront, ensuring merchants have full transparency and the confidence to act decisively.We are committed to fostering a culture that prioritizes clarity, creativity, and shared ownership as we redefine the dynamics of global commerce.About the RoleWe are seeking an extraordinary individual who transcends traditional data science. Our ideal candidate embodies: • A blend of human intuition and machine intelligence. • The ability to run parallel code paths and deploy agents to explore solutions autonomously.Join our Agentic squad, collaborating with five other AI and data science experts to refine, scale, and innovate the intelligence layer that powers our agentic storefront. This senior-level, high-agency generalist role is for someone who can navigate models, agents, experiments, and product decisions with agility and speed in a startup setting.Key ResponsibilitiesWork in tandem with Product, Engineering, and the Agentic team to enhance AI-driven features throughout the entire commerce journey.Design and refine recommendation and personalization systems leveraging behavioral and transactional data.Advance conversational agents, multi-agent workflows, and tool integrations.Iterate on virtual try-on and vision systems using prompt engineering, fine-tuning, and model chaining.Rapidly prototype new AI functionalities and transition them into production-grade systems.Establish and enhance experimentation frameworks, including A/B testing, evaluation pipelines, and benchmarking.Drive improvements in conversion, retention, and operational efficiency through applied machine learning.Identify automation opportunities and design agent-driven internal tools.

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.

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

Role Overview airapps is hiring an AI Product Manager based in the London Metropolitan Area. This position focuses on guiding the development of AI products that improve user experiences and support business growth. What You Will Do Lead product development for AI-driven solutions Work closely with teams across engineering, design, and business functions Identify market needs and opportunities for new AI products Define product vision and strategy in line with company objectives Drive execution from concept through launch Location This role is based in the London Metropolitan Area.