Lead Pricing Data Scientist

We are seeking a highly skilled and innovative Lead Data Scientist to join our dynamic team at Faculty. In this role, you will leverage your expertise in advanced analytics and machine learning to drive impactful data-driven solutions. You will lead a team of talented data scientists, guiding them in the development of predictive models and analytical frameworks that support our mission to optimize outcomes across various sectors.

Role overview Wise seeks a Lead Data Scientist for the Trust and Safety team in London. The main focus is protecting the platform and its users by applying advanced analytics to financial security challenges. This position involves tackling real-world risks and helping to keep Wise’s services safe for everyone. What you will do Analyze large and complex data sets to identify trends and detect suspicious activity Develop and improve models that reduce risk and prevent fraud Collaborate with stakeholders to guide strategic decisions through data-driven insights Shape new methods to strengthen platform security and build user trust Impact The work in this role directly supports Wise’s goal of making money transfers seamless and secure. Efforts here influence how Wise protects its customers and upholds the integrity of its services.

About ZegoAt Zego, we believe that traditional motor insurance can be a barrier for exemplary drivers. It's often too complex, costly, and fails to accurately reflect real driving behavior.Since our inception in 2016, we've dedicated ourselves to transforming the insurance landscape. Our goal is to provide the most affordable insurance options for responsible drivers.Our diverse clientele, ranging from van drivers and gig economy workers to everyday car owners, is at the core of our operations.Having successfully sold tens of millions of policies and secured over $200 million in funding, we are just getting started on this exciting journey.Your RoleWe are in search of a Lead Data Scientist to join our Core Pricing team, reporting directly to the Head of Data Science. You will play a critical role in shaping and executing a high-performance data-science operating model, swiftly transforming concepts into production-ready pricing and risk models.Key ResponsibilitiesLead the development and enhancement of next-generation risk models, managing all aspects from innovative feature discovery and sophisticated modeling to dependable pipeline deployment and strategic R&D initiatives.Implement a robust Data Science workflow: ensuring clear guidelines, templates, and documentation throughout the project lifecycle.Accelerate the idea-to-production timeline: from initial data acquisition to live rate adjustments.Promote a culture of collaborative experimentation: integrating Pricing, Data Science, Machine Learning Engineering, and Systems Engineering.Team leadership and mentorship: oversee a team of 2 Data Scientists, guiding their professional growth and development.Establish coding standards and best practices, mapping common processes and creating playbooks.Assist in selecting tools utilized throughout the Data Science project lifecycle.

Are you passionate about data and eager to drive innovation? Join Hudl as a Lead Data Scientist and take the reins in shaping data-driven strategies. In this role, you will leverage advanced analytics to enhance performance across various teams and projects, while mentoring junior data scientists to foster their growth.

Why Join Faculty?Founded in 2014, Faculty has consistently believed in the transformative power of AI as a pivotal technology of our era. With a robust portfolio of over 350 global clients, we have successfully driven significant performance improvements through our human-centric AI solutions. Discover the tangible impact we've made here.We prioritize innovation over fleeting trends, focusing on the responsible development and deployment of AI that truly delivers results. Our expertise spans technical, product, and delivery domains, enabling us to support clients across diverse sectors including government, finance, retail, energy, life sciences, and defense.As our reputation and business continue to grow, we seek individuals who share our intellectual curiosity and commitment to leveraging technology for a positive legacy.Join us at Faculty, where you will have the autonomy to explore and implement the most impactful applications of AI.About Our TeamWithin our Professional and Financial Services unit, we leverage over a decade of applied AI experience to assist our clients in navigating a rapidly evolving landscape. We design and integrate AI solutions that enhance efficiency, improve customer experience, and uncover business opportunities in uncertain markets. Operating within a highly regulated environment, we are dedicated to setting the benchmark for technical excellence and safe deployment.#LI-PRIOAbout the RoleAs a Lead Data Scientist, you will play a crucial and entrepreneurial role, acting as the technical authority who excels at navigating complexity and generating commercial impact. You will define the technical strategy and ensure the high-quality, scalable execution of our most demanding, high-impact projects.This role requires a blend of profound machine learning expertise and strategic oversight to outline project roadmaps, manage technical risks, and design robust solutions. You will focus on fostering innovation, mentoring cross-functional teams, and actively influencing both our technical frameworks and enduring client relationships.

About Valtech Valtech partners with leading brands worldwide to shape the future of experience innovation. The company supports employee growth through international career paths, values-driven culture, and opportunities to make a real impact on how industries evolve. What Sets Valtech Apart Innovative projects and industry advancements Core values: share, care, and dare Culture that encourages creativity, diversity, and autonomy Global teams that collaborate across borders Role Overview: Lead Data Scientist The Lead Data Scientist at Valtech applies deep experience in data science to solve business problems. The role involves both traditional machine learning and advanced AI, with a focus on large language models (LLMs) and agentic AI. Expect to work hands-on with modeling, experiment with new approaches, and explain findings clearly to colleagues who may not have technical backgrounds. This position suits someone with a practical mindset, strong problem-solving skills, and a genuine curiosity about new technologies. The Lead Data Scientist helps spot opportunities and delivers solutions that make a difference. Location London

Why Join Faculty?Founded in 2014, Faculty has established itself as a leader in harnessing the transformative power of AI, collaborating with over 350 global clients to enhance their performance through human-centric AI solutions. Discover our real-world impact here.We prioritize innovation over hype cycles, focusing on deploying responsible AI that genuinely makes a difference. Our extensive technical, product, and implementation expertise serves clients across diverse sectors including government, finance, retail, energy, life sciences, and defense.As our business continues to grow rapidly, we seek individuals who share our intellectual curiosity and commitment to leveraging technology for a positive legacy.Join us in shaping the future of AI—empower yourself to explore its most impactful applications and bring them to life.About Our TeamThe Faculty Frontier TM product embodies our ambitious vision to create an enterprise-grade platform that integrates decision intelligence with AI Agents, optimizing critical processes for large-scale organizations. You will tackle complex, high-stakes challenges, particularly in healthcare and life sciences.About This RoleAs the Lead Data Scientist, you will define the technical direction of our flagship Frontier product. Leading project teams, you will design and develop custom computational twins—AI-powered digital twins that revolutionize client decision-making. This position requires a strong technical vision in data science, fostering direct client partnerships, and mentoring emerging data science talent. Seize this pivotal opportunity to spearhead innovative, high-impact AI implementations.Your Responsibilities:Direct the technical execution of Frontier deployments, from initial discovery to production integration of computational twins.Oversee the comprehensive data science strategy, including the design and application of optimal methodologies ranging from exploratory data analysis to deep learning.Collaborate with the commercial team to ensure alignment on project objectives and client expectations.

About UsCarnall Farrar is a premier consultancy dedicated to creating a lasting impact on health and healthcare. Our mission is to collaborate with industry leaders and frontline teams to enhance health outcomes, revolutionize healthcare processes, promote innovation adoption, and generate value through strategic investments.We cater to the entire healthcare ecosystem, encompassing payors, providers, life science companies, health tech, suppliers, and health investors. Our comprehensive service offering spans from strategic planning to implementation, leveraging data, digital advancements, and AI technologies.By producing evidence-based thought leadership, we address critical challenges within health. Our unparalleled proficiency in accessing and utilizing health data empowers our consultants to effectuate significant and positive transformations.Our Strategic IntentWe aspire to lead the consulting domain in health, serving healthcare systems, life sciences, health technology, and the broader supplier landscape. Our end-to-end services facilitate organizations in enhancing population health and healthcare outcomes through strategy, transformation, finance, performance enhancement, and data-driven delivery.Our adeptness in data application is a cornerstone of our consulting work. We are acknowledged for our responsible use of health data to improve healthcare delivery, support innovation, generate evidence, and inform strategic decisions. Our engineering and data science capabilities are integral to our consulting services and are often deployed in collaboration with clients as part of multidisciplinary teams.We are cultivating a community of expert consultants eager to operate at the forefront of the profession and share a commitment to health. Our structured career development programs, ranging from Analyst to Partner, are supported by mentorship, apprenticeship, and formal training, fostering the leaders of tomorrow and enabling individuals to develop specialized expertise that delivers value to our clients.Our MissionOur goal is to be indispensable to our clients, aiding them in innovating and achieving lasting improvements while building an outstanding organization that attracts, nurtures, and retains a uniquely talented and trusted team.Role SummaryThe Lead Data Scientist will be pivotal in driving our data innovation initiatives, leveraging advanced analytics and machine learning techniques to generate actionable insights that support healthcare improvement.

About LendableLendable is dedicated to creating the finest technology to empower individuals in obtaining credit and managing their finances effectively. We are rapidly establishing ourselves as a leader in the fintech sector with significant momentum:Recognized as one of the UK’s newest unicorns, our team comprises over 700 talented professionals.Ranked among the fastest-growing tech companies in the UK.Achieved profitability since 2017.Supported by premier investors, including Balderton Capital and Goldman Sachs.Praised by our customers, with exceptional ratings (4.9 based on thousands of reviews on Trustpilot).To date, we have reimagined the three primary consumer finance products: loans, credit cards, and car finance. Our goal is to provide funds to our customers within minutes rather than days.As we continue to grow, we are targeting the two largest Western markets (the UK and US), where substantial financial assets are managed by large banks with outdated systems and cumbersome processes.Join Us If You Want ToTake ownership of significant responsibilities. From day one, you will have the autonomy to make decisions that significantly influence Lendable's trajectory and success.Collaborate with small teams of exceptional individuals who are resourceful in solving challenges and discovering innovative solutions.Develop top-tier technology internally, leveraging new data sources, machine learning, and AI to minimize manual workloads.About the RoleWe are in search of an accomplished Lead Product Data Scientist to spearhead product analytics for our rapidly evolving multi-product application. In this influential role, you will be instrumental in deriving insights that enhance our Zable app, utilized by over 1 million customers on both iOS and Android platforms. Your insights will have a direct impact on product strategy and enhance the core user experience.

Role overview The Lead Data Scientist for Fraud Prevention at Wise plays a key role in safeguarding the platform against fraudulent activity. Based in London, this position involves guiding a team of data scientists while working directly with large, complex data sets to spot patterns and potential risks. What you will do Lead a team focused on detecting and preventing fraud across Wise’s platform Analyze complex data to uncover suspicious trends and behaviors Build and improve predictive models that identify fraudulent activity Introduce and implement new approaches to enhance Wise’s fraud prevention systems

Are you a passionate data scientist looking to make a significant impact in a dynamic environment? Join Marshmallow as a Staff Data Scientist and leverage your expertise to drive innovative data solutions. In this role, you will work closely with cross-functional teams to analyze complex datasets, develop predictive models, and provide actionable insights that enhance our product offerings.

Join Almedia as a Data Scientist, where you will play a crucial role in transforming data into actionable insights. Collaborate with cross-functional teams to analyze complex datasets, develop predictive models, and support data-driven decision-making.

Join our dynamic team at Axle Careers as a Data Scientist, where you will leverage your analytical skills to extract meaningful insights from complex datasets. You will collaborate with cross-functional teams to develop innovative data-driven solutions that enhance business performance and drive strategic decision-making.

Why Join Faculty?Founded in 2014, Faculty believes that artificial intelligence is the defining technology of our era. We have partnered with over 350 clients globally to revolutionize their operations through human-centered AI. Discover our tangible impacts here.We prioritize innovation over trends, developing and implementing responsible AI solutions that drive significant results. Our expertise spans technical, product, and delivery domains, serving clients in government, finance, retail, energy, life sciences, and defense sectors.As our company and reputation rapidly expand, we seek individuals who possess intellectual curiosity and aim to forge a positive technological legacy.Join us and explore the transformative potential of AI, empowered to realize its most impactful applications.About Our TeamOur Retail and Consumer specialists are committed to assisting clients in an industry undergoing rapid technological advancements and shifting consumer expectations. With over a decade of experience in Applied AI, we merge exceptional technical skills with delivery expertise, empowering businesses to adapt and excel.About the RoleIn the role of Lead Data Scientist, you will take on a crucial, entrepreneurial position as a technical expert who excels in navigating complexity and driving commercial impact. You will set the technical vision and guarantee the effective, scalable delivery of our most challenging, high-stakes projects. This role combines profound machine learning knowledge with strategic oversight, allowing you to define project roadmaps, manage technical risks, and architect dependable solutions. Your mission will be to spur innovation, mentor cross-functional teams, and actively influence our technical standards and long-term client relationships.Your Responsibilities:Establishing the technical direction for intricate, business-critical projects while adeptly managing trade-offs between speed, innovation, and reliability.Designing and executing robust, production-ready technical solutions.

Join Spotify's innovative team as a Data Scientist in our Subscriptions division! We are looking for a passionate individual who can leverage data to drive impactful decisions and enhance our subscription offerings. You will collaborate with cross-functional teams to analyze data trends, develop predictive models, and contribute to our mission of delivering exceptional user experiences.

Join degree6 as a Data Scientist specializing in the fintech sector, where you will leverage your analytical skills to drive innovation and insights. You will be pivotal in developing data-driven solutions that enhance financial services and contribute to the evolution of our products.

Join degree6 as a Data Scientist in the fast-paced world of fintech. In this pivotal role, you will leverage your analytical expertise to drive data-driven decisions, enhance product features, and create innovative solutions that solve real-world financial challenges. You will work in a collaborative environment, engaging with cross-functional teams to deliver impactful insights and contribute to the advancement of cutting-edge financial technologies.

About GoCardlessGoCardless is a pioneering global bank payment platform that empowers over 100,000 businesses, ranging from innovative startups to established brands, to seamlessly collect and send payments through direct debit, real-time payments, and open banking.With an impressive annual processing volume exceeding US$130bn across more than 30 countries, we facilitate both recurring and one-off payments, alleviating the burdens of follow-ups, stress, and high fees. Our AI-driven solutions enhance payment success rates and minimize fraud risks. Additionally, our open banking integration with over 2,500 banks enables 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 are dedicated to making our hiring process inclusive and accessible. If you require any adjustments or additional support, please reach out to your Talent Partner — we are here to assist you!Remember, we do not expect you to meet every single requirement. If you are enthusiastic about this role, we encourage you to apply!The RoleData is at the heart of our mission. We utilize bank account information to deliver intelligent payment solutions, enhancing payment success rates and preventing payer fraud.As a Senior Data Scientist in our Payment Intelligence team, you will collaborate with Software Engineers, Product Managers, and Designers to transform innovative concepts into reality. You will be responsible for the complete lifecycle of our algorithms, from the initial idea to the production-ready code that drives our global payment network.Our tech stack is centered around Google Cloud Platform and Vertex AI, creating a high-performance environment for innovation. Our Data Scientists work at the intersection of Python, SQL, and BigQuery to develop and deploy high-performance models at scale.Key ResponsibilitiesLead the comprehensive delivery of models at scale, from initial discovery and feature engineering to production, A/B testing, and ongoing monitoring.Collaborate with cross-functional teams to design and implement advanced data-driven solutions.

Join our dynamic team at Intercom as a Senior Data Scientist, where you will leverage your analytical expertise to drive data-driven decisions and contribute to our innovative product development. In this role, you will collaborate with cross-functional teams to build models that enhance user experiences and optimize our services.