Data Science Lead - AML Risk

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.

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 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.

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.

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.

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.

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.

Join Ekimetrics as a Manager in Data Science & Marketing EffectivenessAs a global frontrunner in Marketing Effectiveness and AI-driven solutions, Ekimetrics has empowered businesses since 2006 to optimize their marketing strategies and operational efficiency. We uniquely blend AI with business and technology expertise across four key domains: Marketing Effectiveness, Customer Analytics, Operational Excellence, and ESG & Sustainability.With fully equipped in-house teams located in Paris, London, New York, Hong Kong, and Shanghai, we craft bespoke solutions that convert data into tangible positive outcomes. Our commitment is to leverage our distinctive technology and services to deliver AI impact at scale, addressing some of the world's most pressing challenges responsibly.Your Role:In your capacity as a Manager focusing on Marketing Mix Modeling (MMM) and Marketing Effectiveness, you will spearhead high-impact MMM initiatives for a diverse portfolio of international clients spanning various industries, including Automotive, Beauty, Retail, and Financial Services. You will be responsible for managing multiple teams and accounts, ensuring comprehensive project delivery, and providing actionable insights that drive client satisfaction and business growth.Key Responsibilities:· Lead end-to-end MMM and marketing effectiveness projects, from initial scoping and data strategy to modeling, insights generation, and activation.· Ensure rigorous project governance, focusing on data integrity, model reliability, and actionable insights that enhance client outcomes and support business growth.· Transform complex analytical findings into strategic narratives and clear recommendations for senior stakeholders and executive-level clients.· Establish, guide, and track project roadmaps in alignment with Ekimetrics’ methodologies, ensuring project delivery meets client objectives, profitability benchmarks, and timelines.· Offer strategic insights to clients aimed at optimizing marketing budgets, improving campaign effectiveness, and enhancing customer segmentation and ROI.· Collaborate with partners and senior managers in client engagement, delivering strategic insights, shaping proposals, and contributing to RFPs and pitches.

Join Benchling as a Solution Consultant for IT and Data Science, where you'll leverage your expertise to drive innovative solutions and optimize our offerings. You will work closely with clients, translating their needs into actionable insights and strategies. Your role will involve collaborating with cross-functional teams to enhance product capabilities and ensure client satisfaction.

Why Choose a Career in Technology at loveholidays?At loveholidays, we are dedicated to pioneering new paths in travel. Our mission is to make the world accessible to everyone by providing our customers with unlimited options, unparalleled convenience, and exceptional value for their next holiday. Our technology team is the cornerstone of our commitment to becoming our customers' personal holiday expert—the intelligent way to travel.Technology at loveholidays drives our ambition to be the world leader in packaged holidays. We are committed to fostering innovation and technical excellence to secure our future. With systems processing trillions of holiday offers daily and deploying thousands of times each month, we are equipped to handle countless requests per second. Here, you will have the opportunity to accelerate your career by tackling intricate challenges and expanding your skill set.Join us in shaping our future and making a meaningful impact. Take ownership of your success and contribute to our collective objectives. We engage in active discussions about technology and adhere to our foundational technology principles that have propelled us this far. As we continue to grow, we have ambitious plans to expand across Europe, attracting the top talent and technology to facilitate this journey.About Our Team:Our data science team, currently comprised of six talented data scientists, collaborates across the organization to implement machine learning solutions that help us realize our goal of becoming the global leader in packaged holidays. This team is pivotal in creating value for our customers, suppliers, and loveholidays through the application of advanced machine learning techniques.Your Impact:In this role, reporting directly to the VP of Data, you will lead the Data Science function, embedding intelligence at the core of our growth strategy. You will define and drive the contributions of Data Science to critical commercial metrics, including conversion rates, pricing strategies, customer acquisition efficiency, and experimentation speed. Your influence will guide our investments in Machine Learning and AI, ensuring these investments yield significant competitive advantages.Collaborating with Product and Commercial leadership, you will identify the most impactful opportunities for machine learning and oversee their execution from start to finish.You will ensure our systems are production-ready, scalable, and aligned with our engineering standards, transforming insights into actionable strategies.

Veeva Systems Inc. is dedicated to revolutionizing the life sciences sector through innovative cloud solutions, empowering companies to expedite the delivery of therapies to patients. As a trailblazer in the SaaS industry, we achieved over $2 billion in revenue last fiscal year, with vast growth opportunities on the horizon.Our core values, including Doing the Right Thing, Customer Success, Employee Success, and Speed, define our work culture. In 2021, we made history by becoming a public benefit corporation (PBC), which reflects our commitment to balancing the interests of all stakeholders.As a Work Anywhere organization, we foster a flexible work environment that allows you to choose the setting where you work best, whether that is from home or in the office.Join us in transforming the life sciences industry, and making a meaningful impact on our customers, employees, and communities.The RoleIn the Veeva Link team, we are constructing the intelligence framework for the life sciences sector, developing connected data applications that accelerate drug development and improve patient outcomes significantly. Our philosophy is simple: the combination of top-quality data and advanced software drives immense value.Our focus on execution emphasizes speed, accuracy, and quality in our daily endeavors. We apply a well-defined engineering approach to create clear product specifications, leading to precise technical designs. Utilizing a modern tech stack, we deliver inherently reliable applications along with an exceptional user experience.Our work encompasses two essential domains:Data-Driven InsightsWe create advanced applications that map and analyze global scientific and medical expertise, yielding high-impact insights and AI-driven intelligence. Our engineers tackle intricate data modeling, entity resolution, and cutting-edge machine learning challenges.Intelligent Business Workflows

Join PA Consulting Group as a Managing Consultant specializing in Data Science within our Consulting department. In this pivotal role, you will leverage your expertise in data analytics and strategic consulting to drive impactful decisions for our clients. Collaborate with cross-functional teams to develop innovative data-driven solutions that enhance business performance. Your insights will help shape the future of various industries, making this an exciting opportunity for those who thrive on challenge and innovation.

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

Join Wise as a Senior Marketing Data Analyst in London, where you will leverage your expertise in data analytics to drive impactful marketing strategies. You will be responsible for analyzing complex datasets, providing actionable insights, and collaborating with cross-functional teams to enhance our marketing performance.

About Man GroupMan Group is a leading global alternative investment management company dedicated to delivering superior performance for our sophisticated clients through our Systematic, Discretionary, and Solutions services. Leveraging exceptional talent and cutting-edge technology, our investment strategies—both single and multi-manager—are grounded in extensive research and encompass both public and private markets, with a strong emphasis on alternative assets. We pride ourselves on fostering deep partnerships with our clients, crafting customized solutions to align with their investment objectives and those of the millions of retirees and savers they support.Headquartered in London, we manage assets totaling $227.6 billion* and have a presence in various global offices. Man Group plc is publicly traded on the London Stock Exchange under the ticker EMG.LN and is part of the FTSE 250 Index. For more details, visit www.man.com.* As at 31 December 2025The TeamThe Data and AI division at Man Group is committed to generating actionable insights from data. This division oversees the sourcing, delivery, and analytics of both traditional and alternative data for our investment teams while also developing and enhancing Man Group's central data platform. Additionally, the division innovates through the creation of generative AI tools to streamline business processes.Our mission is to unlock the potential of data by collaborating with investment teams to discover new datasets and build scalable evaluation methodologies and insights. Our unifying principle is a shared passion for employing science, technology, and data to improve our investment and business operations. The RoleIn your role as a Senior Analyst within the Data Science team, you will be responsible for acquiring, cleaning, mapping, and analyzing extensive structured and unstructured datasets to support quantitative research and portfolio management teams in generating alpha. You will serve as a subject matter expert on key projects, delivering foundational research, conducting exploratory analysis, and providing actionable insights.