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Experience Level
Experience
Qualifications
Proven experience as a Data Architect or similar role. Strong understanding of data modeling, database design, and data warehousing concepts. Proficiency in SQL and NoSQL databases. Experience with cloud platforms (AWS, Azure, GCP) and data processing frameworks. Excellent analytical and problem-solving skills. Strong communication and collaboration abilities.
About the job
Valtech seeks a Data Architect to join its London team. This position plays a key part in defining data strategy and building the architecture that supports business projects. The work centers on using data to drive informed decisions and encourage new ideas across the company.
What you will do
Collaborate with teams from different disciplines to design scalable data solutions
Maintain data integrity, ensure accessibility, and uphold security standards across all systems
Provide technical guidance on data architecture throughout project lifecycles
About Valtech
Valtech is a global digital agency focused on business transformation through innovation and technology. We thrive on creating solutions that not only drive immediate results but also foster long-term growth for our clients. Join us to work in a vibrant environment where creativity meets technology.
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, c…
Role overview Valtech seeks a Data Architect to join its London team. This position plays a key part in defining data strategy and building the architecture that supports business projects. The work centers on using data to drive informed decisions and encourage new ideas across the company. What you will do Collaborate with teams from different disciplines to design scalable data solutions Maintain data integrity, ensure accessibility, and uphold security standards across all systems Provide technical guidance on data architecture throughout project lifecycles
Why Choose Valtech?At Valtech, we pride ourselves on being a leader in experience innovation, partnering with some of the world's most recognized brands. We provide our employees with abundant growth opportunities, a values-driven culture, and the chance to shape the future of customer experiences.The OpportunityJoin us at Valtech, where we foster an environment conducive to continuous learning, impactful contributions, and professional development. Whether you are innovating digital solutions, challenging traditional paradigms, or crafting the next generation of customer experiences, your contributions will be crucial in transforming industries.
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.
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
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.
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 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.
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.
Join our dynamic team at Faculty as a Data Scientist, where your analytical prowess will help drive impactful decisions across various sectors. In this role, you'll leverage advanced statistical techniques and machine learning algorithms to extract insights from complex datasets, delivering actionable recommendations to stakeholders. Collaborate with cross-functional teams to innovate and optimize data-driven solutions that enhance our clients' operational efficiency.
Join Abound, a forward-thinking company dedicated to leveraging data to drive innovative solutions. As a Data Scientist, you will play a crucial role in analyzing complex datasets, developing predictive models, and transforming data into actionable insights. Collaborate with cross-functional teams to enhance our products and services, ensuring that data-driven decisions are at the forefront of our strategy.
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.
Join the innovative team at Telegraph as a Data Scientist, where you will leverage data analytics to drive strategic decisions and enhance our digital products. In this role, you will be responsible for analyzing complex datasets, building predictive models, and presenting insights to stakeholders. Your expertise will directly influence our editorial and commercial strategies, helping us to deliver exceptional content and user experiences.
Join Wise as a Lead Data Scientist specializing in contact automation, where you will spearhead innovative projects aimed at optimizing communication processes. Your expertise in data analysis and machine learning will play a crucial role in enhancing our automation systems and driving efficiency across the organization. Collaborate with cross-functional teams to translate data insights into actionable strategies, ensuring the delivery of high-quality solutions that meet business needs.
Join Valtech: Pioneers of Experience InnovationAt Valtech, we pride ourselves on being at the forefront of experience innovation, collaborating with some of the world’s most recognized brands. Our team enjoys a culture driven by values, robust growth opportunities, and the chance to shape the future of digital experiences. Here, your contributions will not only foster your professional growth but also make a meaningful impact across various industries.The OpportunityAs a Lead Digital Analytics Engineer specializing in Adobe Analytics, you will be immersed in a dynamic environment that emphasizes continuous learning and innovation. Your role will involve pioneering cutting-edge digital solutions, challenging conventional methodologies, and crafting the next generation of customer experiences.
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.
Join ravio as a Senior Data Scientist and lead innovative projects to harness the potential of big data. You will work closely with cross-functional teams to extract valuable insights, develop predictive models, and enhance data-driven decision-making processes. This role offers an exciting opportunity to impact our data strategy and drive meaningful change.
Why Join Faculty?Founded in 2014, Faculty is at the forefront of artificial intelligence, believing it to be the defining technology of our era. With a proven track record, we have partnered with over 350 global clients to enhance their performance through human-centric AI solutions. Discover our impact here.We prioritize genuine innovation over fleeting trends. Our commitment to responsible AI enables us to deliver solutions that drive significant results. Our extensive expertise spans across various sectors, including government, finance, retail, energy, life sciences, and defense.As our business continues to expand rapidly, we seek individuals who possess intellectual curiosity and a passion for leveraging technology to create a lasting positive impact.Join us in harnessing the power of AI to redefine its applications and make a tangible difference.About Our TeamThe Frontier TM product represents our bold ambition to create an enterprise-grade platform that integrates decision intelligence and AI Agents, optimizing critical processes in large organizations. You will tackle complex challenges within the real economy, focusing especially on healthcare and life sciences.Your RoleAs a Senior Data Scientist on the Frontier team, you will shape the future of our Decision Intelligence Platform by developing AI-powered digital twins that enhance organizational decision-making. This entrepreneurial role involves solving intricate problems while enabling enterprise users to leverage state-of-the-art AI technologies. You will combine scientific rigor with a business-oriented mindset to advance our AI Agent and Decision Hub capabilities.Key Responsibilities:Designing and Building: Create agents for high-stakes environments, ensuring that outputs meet rigorous validation standards.Data Analysis: Conduct exploratory data analysis, model development, validation, and performance monitoring.Leadership: Guide data science initiatives within cross-functional delivery teams, collaborating with engineers, designers, and business stakeholders.
