Senior Data Science Manager - Customer Support

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.

Business Unit: Customer Science - We empower brands to gain profound insights into their customers, unveiling opportunities for tailored experiences.Team: AnalyticsReporting to: Head of AnalyticsLocation: London/Hybrid – Minimum 2 days in the office.ABOUT GAIN:GAIN is a pioneering company that melds creativity with data-driven insights. We are dedicated to exploring new horizons, crafting innovative strategies that propel brands, businesses, and individuals forward. Our mission is to harness data and technology to inspire creativity and drive meaningful change. Our five specialized teams - Creative Studio, Conversion, Customer Science, Experience, and Performance - collaborate seamlessly to fuel your growth and deliver measurable results.THE ROLE:The Senior Data Analyst will be crucial in delivering insightful and actionable analyses that meet our clients' objectives within set timelines. You will leverage your extensive knowledge of customer data to provide tailored solutions and recommendations, fostering strong relationships with clients and ensuring they trust our analyses.KEY RESPONSIBILITIES:Conduct ad-hoc analyses for clients, establishing project objectives and scopes while delivering detailed customer insights and key recommendations.Identify and propose actionable recommendations based on analytical findings.Respond to urgent queries using data to guide business decisions.Conduct peer reviews of colleagues' work before client delivery.Present methodologies and results at client meetings.Mentor junior team members.Independently and collaboratively develop accurate scopes of work for client projects.Build and maintain strong client relationships, demonstrating the analytics that drive decisions.

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 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.

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.

Business Unit: Customer Science - Our mission is to empower brands with deep insights into their customer base, enabling personalized experiences.Team: AnalyticsReporting to: Head of AnalyticsLocation: London/Hybrid – Minimum of 2 days in the officeABOUT GAIN:GAIN is a pioneering, insight-driven organization that harmonizes data, technology, and creativity. We are convinced that the most innovative ideas arise from the synergy between intelligence and imagination, where insight inspires creativity and innovation leads to tangible progress.As a forward-thinking company, we navigate uncharted territories to develop audacious strategies that propel individuals, brands, and organizations toward success. Our expert teams work collaboratively to deliver vision, data, and confidence, enabling brands to make bold, impactful decisions.Under the GAIN name, we unite to harness data in service of creativity and use technology to unveil new opportunities. As 'imagineers', we don’t merely adapt to innovation – we drive it, converting information into actionable insights and concepts into breakthroughs.This is the realm where bold thinking, intelligent technology, and data-driven creativity forge the future. Through our five specialized teams: Creative Studio, Conversion, Customer Science, Experience, and Performance, we collectively fuel growth and deliver measurable impact.THE ROLE:The Analytics Team is dedicated to delivering insightful, actionable analysis that fulfills our clients’ objectives promptly. This position will support the Head of Analytics and Chief Data Scientist in developing innovative solutions and models tailored to client needs. The successful candidate will be instrumental in shaping the R&D branch of the team.

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.

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.

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.

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.

Business Unit: Customer Science - We empower brands to gain profound insights into their customers, unveiling opportunities for personalized experiences.Team: AnalyticsReporting to: Head of Tracking & MeasurementLocation: London/Hybrid – at least 2 days in the officeABOUT US:GAIN is a pioneering, insight-driven agency that merges creativity, data, and technology. Our ethos is rooted in the belief that transformative ideas arise at the intersection of creativity and intelligence. We are trailblazers of innovative strategies, propelling people, brands, and businesses forward. Our specialized teams collaborate to provide the vision, data, and confidence that empower brands to make more daring and impactful decisions. At GAIN, we harness data to inspire creativity and utilize technology to unlock new potential. As catalysts of change, we don’t just welcome innovation; we engineer it, translating data into action and ideas into advancements.THE ROLE:We are on the lookout for a dedicated Tracking Delivery Manager to join our Data and Analytics team. The successful candidate will oversee a team of tracking and tag management experts, ensuring that tracking initiatives are executed with precision, within deadlines, and aligned with client expectations.The Delivery Manager will collaborate closely with tracking engineers to supervise the design, implementation, and upkeep of tracking solutions across a diverse range of clients and industries. This role demands an exceptional eye for detail, delivering highly accurate and dependable tracking solutions across web and app platforms.RESPONSIBILITIES:Define the scope and estimate tracking and measurement projects.Conduct audits of existing tracking systems, articulating issues in detail through documentation and client discussions.Design efficient and precise tracking infrastructures through comprehensive measurement plans, and communicate these plans effectively to clients, many of whom may lack technical expertise in tracking solutions.Identify, troubleshoot, and resolve tracking issues across a broad spectrum of platforms.

Salary: Starting from £44,340 + benefitsRole Duration: PermanentOverview - What You Will AchieveThe Academy of Medical Sciences’ FORUM serves as a neutral, independent platform that unites leaders from research, industry, the health system, charities, and government. This collaboration aims to share insights, exchange evidence, and devise solutions to the complex challenges faced in health and life sciences. Key priorities for this role include:Enhancing health outcomes both in the UK and internationally.Mobilizing the UK health research system to translate discoveries into practical applications.Positioning the UK as the premier destination for medical science careers.As a Senior Policy Officer, you will play a crucial role in shaping and delivering a high-impact cross-sector program, ensuring that the Academy convenes the right stakeholders at the right time and on critical issues. In the upcoming year, your focus areas may include prevention and early detection, leveraging clinical evidence to accelerate the translation of discoveries to patient impacts, promoting the inclusion of underrepresented groups in research, and exploring the role of AI and data in biomedical sciences.Your responsibilities will include leading a portfolio of policy meetings and workshops, producing influential outputs, and fostering relationships within the FORUM network. You will leverage evidence, stakeholder insights, and sound judgment to guide decisions on the Academy's strategic focus, maximizing impact while upholding the high standards and values that define our work.This position presents a unique opportunity to influence discussions across the life sciences field and contribute to improving health through evidence-informed policy initiatives.Role Responsibilities - What You Will DoPolicy Insight and Cross-Sector ContributionAssist the FORUM Policy Manager in developing an annual program aligned with organizational priorities and emerging health challenges.Utilize evidence and stakeholder insights to identify areas where cross-sector collaboration can deliver the most value.Contribute to enhancing the Academy’s reputation as a leading, evidence-driven convener on complex health issues.Program Oversight & DeliveryOversee the planning and execution of FORUM policy meetings, workshops, and events (in-person, hybrid, and digital), ensuring smooth operations, high-quality content, and an exceptional experience for all participants.Create briefing materials, agendas, and meeting reports that clearly synthesize evidence and stakeholder perspectives.Proactively identify and manage risks, ensuring events are inclusive, accessible, and delivered to the highest standard.

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.

Salary: Starting from £44,340 + benefitsRole duration: Permanent (37.5 hrs/week)Location: London, UK (Hybrid - 50% office attendance)Summary Purpose – what you will be achieving: As a vital member of the Academy’s Policy Team, the Senior Policy Officer will be instrumental in shaping the organization’s strategic direction. This position is key in helping the Policy team formulate and implement new priorities for 2026/27, which include:Enhancing health outcomes both in the UK and globally.Harnessing the UK health research system to translate discoveries into practical applications.Positioning the UK as the premier destination for careers in medical sciences.In alignment with these priorities, the incoming Senior Policy Officer will engage in distinct policy programs, which may encompass:Maximizing the impact of medical sciences in prevention and early detection initiatives.Revolutionizing the generation and application of clinical evidence to accelerate the translation from discovery to patient benefits, ensuring equitable inclusion of underserved populations.Establishing the UK as a global leader in responsible, effective, and equitable use of AI and data within the biomedical sciences.Conducting foresight exercises to identify and support high-impact innovations critical to the future of health systems.The Senior Policy Officer will report directly to a Policy Manager.About the role – what you will be doing: Core policy workLead and support various policy projects to inform and influence the policy landscape in alignment with Academy priorities. This work may include:Major working group studies and producing relevant outputs.Responding to government initiatives and announcements.Engaging in consultations, rapid responses, and drafting concise position papers.Facilitating roundtables, workshops, and other significant policy events.Preparing correspondence and briefings for senior stakeholders.Collaborate closely with Academy Fellows and other experts to identify and analyze critical policy issues, gather data, and form impactful recommendations for internal and external stakeholders.Implement and follow up on policy recommendations across diverse external audiences.Maintain a comprehensive understanding of the policy landscape to drive effective initiatives.

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.

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.