Data Science Manager

About us GoCardless, a Mollie company, is a global leader in bank payments. Over 100,000 businesses, from start-ups to household names, use GoCardless to collect, manage and send bank payments through Direct Debit, real-time payments and open banking. With US$130bn+ processed annually across 30+ countries, we handle recurring and one-off payments without the chasing, stress, or expensive fees. Our end-to-end payment platform also features AI-powered solutions to improve payment success and reduce fraud, alongside connections to over 350 platforms businesses use everyday. We are headquartered in the UK, with teams and operations spanning North America, Europe and Asia-Pacific. For more information, please visit www.gocardless.com and follow us on LinkedIn @GoCardless. Mollie is the leading payments and financial services partner for business, rooted in Europe, with global reach. The role Data sits at the core of our mission. We leverage bank account data to deliver high-value, intelligent payment solutions for our customers, from enhancing payment success rates to driving payer fraud prevention. As a Data Science Manager within our Payment Intelligence team, you’ll partner with Software Engineers, Product Managers, and Designers to turn big ideas into reality. You’ll own the full lifecycle of our algorithms, shaping everything from the initial concept to production-ready code that powers our global payment network. At GoCardless, our stack is centered around Google Cloud Platform and Vertex AI, providing a high-performance environment for innovation. Our Data Scientists operate at the intersection of Python, SQL, and BigQuery to build and deploy high-performance models at scale. What you’ll do Manage and mentor a high-performing team of Data Scientists, fostering a culture of technical excellence and supporting their long-term career development. Oversee the end-to-end lifecycle of mission-critical ML models that power real-time payment decisions. Shape the str

Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Data Science organisation sits at the heart of Deliveroo powering decision-making across our 3 sided marketplace. We’re looking for a Senior Data Scientist to join our London team (working hybrid, 3 days in the office). In this role, you’ll drive high-quality decision-making to maximise impact. We’re hiring multiple Senior Data Scientists across different areas of the business. Rather than hiring for one fixed team, we use the interview process to understand your strengths, interests and development areas, and then align you to the right scope, remit and team. About Our Data Science Organisation We have an outstanding Data Science organisation, with a mission to drive the highest quality decision-making across our marketplace. We work throughout the company, in product, operations, and platform teams and are uniquely placed to use data to help make better decisions and improve data literacy across Deliveroo. We are great communicators, and move fast to serve our customers a little better every day. Our community is highly active, with guest lectures, study groups, mentorship programmes and a robust technical review process. Data Scientists can progress equally as IC leads or managers. Our data scientists come from all kinds of backgrounds but have excellence in common. Many are formally trained in data science, many are not. What You’ll Be Doing Here’s what your day-to-day might look like: Proactive Impact Delivery: You will independently identify, define, and deliver impactful work that aligns with business goals and metrics, operating with

Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Analytics organisation sits at the heart of Deliveroo powering decision-making across product, commercial and operations through experimentation and causal inference. We’re looking for a Senior Data Scientist to join our London team (working hybrid, 3 days in the office). In this role, you’ll enable high-quality human-led decision-making to maximise impact. We’re hiring multiple Senior Data Scientists across different areas of the business. Rather than hiring for one fixed team, we use the interview process to understand your strengths, interests and development areas, and then align you to the right scope, remit and team. About Our Analytics Organisation We have an outstanding analytics organisation, with a mission to enable the highest quality human and machine decision-making. Our community is highly active, with guest lectures, study groups, mentorship programmes and a robust technical review process. Data Scientists can progress equally as technical leads or people managers. Our data scientists come from all kinds of backgrounds but have excellence in common. Many are formally trained in data science, many are not. What You’ll Be Doing You will help answer questions like: Which markets/cities should we enter next? How can we incentivise good rider behaviour? What is the impact of exclusive deals we have with restaurants? How do we optimise our compensation policy to keep our customers happy and ordering with Deliveroo? What are the trade-offs we face when choosing between growth and profitability? How should we decide between them? How

Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. The Data & Science Org At Deliveroo we have an outstanding data science organisation, with a mission to enable the highest quality human and machine decision-making. We work throughout the company - in product, business and platform teams - using analysis, experimentation, causal inference and machine learning techniques. We are uniquely placed to use data to help make better decisions and improve data literacy across Deliveroo. Data Scientists at Deliveroo report into our data science management team, and we have a highly active data science community, with guest lecturers, study groups, mentorship programmes, a robust technical review process, and plenty of opportunities to learn new things. Data Scientists can equally progress as technical leads (individual contributors) and as people managers. Our data scientists come from all kinds of backgrounds but have excellence in common. Many are formally trained in data science, many are not. We celebrate difference and have a dedicated data science diversity committee. As an Economist at Deliveroo you will help scale our business and improve the experience for restaurants, riders, and eaters. Using experimental or observational data, you will get to help answer questions like: Which markets/cities should we enter next? How can we incentivise good rider behaviour? What is the business impact of exclusive deals we have with restaurants? Can the Delivery food market sustain multiple players? What are the trade-offs we face when choosing between growth and profitability? How should we decide between them? What is the optimum selection and variety of restaurants? What impact do online reviews have? How will a change in the user i

Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. About the role Hybrid (3 days per week in the London office required) Individual contributor role A key part of the role is turning insight into action. You will translate analysis into clear, proportionate policies and operational responses that protect platform integrity and customer outcomes, while remaining practical to implement and appropriate for the markets in which we operate. You will work closely with Legal, Public Policy, Product, Data Science and Operations to navigate complex legal and regulatory considerations and ensure our approach is effective, fair and robust. Core responsibilities Lead a programme of work to identify, assess and prioritise courier/rider fraud and abuse risks across Wolt and Deliveroo. Translate identified risks into proportionate policy, process and operational responses, balancing risk reduction with customer outcomes, courier/rider experience and business practicality. Lead the implementation, monitoring and ongoing refinement of fraud and abuse policies, with clear measures of effectiveness and residual risk. Ensure policy approaches are developed with appropriate consideration of legal, regulatory, compliance and reputational implications. What you’ll be doing Build a deep understanding of our courier/rider operating models, incentive structures and end-to-end journeys to identify where fraud or abuse risk may arise, using data, operational knowledge and structured, hypothesis-led analysis. Develop analytical approaches and key metrics to identify patterns, quantify impact, assess detection signals and measure the effectiveness of policy interventions over time. Define new policies, or revise existing ones, in response to ident

Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Product team defines how millions of people experience Deliveroo, turning complex marketplace challenges into simple, high-impact solutions. Working at the intersection of data, design and engineering, we set direction, prioritise what matters most, and deliver outcomes that move the business forward. We’re looking for a Senior Product Manager to join our London team. In this role, you’ll help us expand our on-demand grocery and retail offering, building a trusted shopping experience that customers rely on for their everyday local commerce needs. What You’ll Be Doing You’ll be joining the New Verticals team. New Verticals is Deliveroo’s business for on-demand grocery and retail: expanding what customers can buy on Deliveroo beyond restaurants, from everyday essentials to products from well-known brands and local stores. It’s a key growth area for the company, focused on building a trusted, repeatable shopping experience. Here’s what your day-to-day might look like: Own high-impact growth problems end-to-end, identifying opportunities across the customer lifecycle—from acquisition and activation to retention and monetisation. Lead cross-functional teams across Engineering, Data Science, Design, and Commercial to align on priorities and drive execution from concept to launch. Partner with Customer Research to uncover barriers to transaction and translate those insights into high-conviction growth bets. Design and run controlled experiments to understand how affordability and selection influence behaviour, validating hypotheses through data. Dr