Senior Data Scientist - Product Analytics

Join our dynamic team at Intercom as a Senior Data Scientist specializing in Product Analytics. In this role, you will leverage data to drive meaningful insights that enhance user experience and product development. You will work closely with cross-functional teams to analyze trends, build predictive models, and develop metrics that inform strategic decisions.

About Checkout.com Checkout.com powers the payment infrastructure for brands such as eBay, ASOS, Klarna, Uber Eats, and Sony. The company focuses on building seamless online checkout experiences, helping businesses move money securely and efficiently. Headquartered in London, Checkout.com operates globally, handling billions of transactions each year. The team values innovation, performance, and continuous improvement. Role Overview: Senior Product Data Scientist The Senior Product Data Scientist partners closely with product managers, designers, engineers, and analysts to turn data into actionable insights. This role shapes product strategy by defining success metrics, guiding data collection, designing dashboards and reports, and analyzing trends to identify ways to improve products. The position is central to product success and works alongside a strong network of Analytics Engineers, Product Data Scientists, and Data Product Managers. What You Will Do Lead analytics for a product pillar: define, measure, and present key metrics, and deliver insights that drive action. Influence product roadmaps by making data-driven recommendations and spotting opportunities for impactful improvements. Work with Data Analytics Engineers and Software Engineers to ensure data is collected and modeled accurately for business insights. Encourage a data-focused mindset across product teams to enable informed decisions. Location This position is based in London.

About Checkout.com Checkout.com helps businesses process payments smoothly, supporting companies such as eBay, ASOS, Klarna, Uber Eats, and Sony. The company operates behind the scenes to make global transactions efficient and reliable. Headquartered in London, Checkout.com maintains 19 offices on six continents. Teams focus on performance and innovation, aiming to shape the future of digital payments. Role Overview: Product Data Scientist The Product Data Scientist works within a cross-functional group that includes product managers, designers, and engineers. Insights from data help guide product strategy and define success metrics. Responsibilities include designing dashboards and reports, conducting analyses to spot opportunities for product improvements, and collaborating closely with the team to deliver on product goals. Data Analytics at Checkout.com supports business objectives at every level. In this role, a network of Analytics Engineers and Data Product Managers provides support to help drive growth and impact. Main Responsibilities Lead analytics for a product area: define, measure, and present key metrics, delivering insights that inform decisions. Use data to recommend updates to product roadmaps and identify opportunities for meaningful improvements. Work with Data Analytics and Software Engineering teams to ensure data is collected and modeled to support business insights. Promote a strong data culture within product teams, encouraging innovation and data literacy. Location This position is based in London.

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.

About LendableLendable is dedicated to revolutionizing the way individuals access credit and save money. As one of the fastest-growing fintech companies in the UK, we have quickly established ourselves as a leader in the industry.Recognized as a unicorn with a talented team of over 700 professionals.Consistently ranked among the fastest-growing technology companies in the UK.Achieved profitability since 2017.Supported by top investors, including Balderton Capital and Goldman Sachs.Highly rated by customers, boasting a 4.9 rating across tens of thousands of reviews on Trustpilot.We have revamped the Big Three consumer finance products: loans, credit cards, and car finance. Our mission is to expedite the process, providing our customers with funds in minutes rather than days.As we continue to expand, we are targeting the two largest Western markets (UK and US) where traditional banks still rely on outdated systems and cumbersome processes.Join Us If You Want ToTake ownership of significant projects from day one, making impactful decisions that steer the direction and success of Lendable.Collaborate with exceptional colleagues in small teams, working together to creatively solve problems and innovate beyond the status quo.Develop cutting-edge technology in-house, leveraging data sources, machine learning, and AI to automate complex tasks.About the RoleWe are in search of a seasoned Senior Product Data Scientist to spearhead product analytics for our dynamic multi-product app. In this influential position, you will uncover insights that drive the enhancement of our Zable app, impacting over 1 million users on both iOS and Android. Your contributions will significantly inform product strategy and elevate the core user experience.

Join Vortexa, a leader in the energy data analytics sector, as a Data Scientist specializing in production-grade machine learning. In this role, you will harness the power of advanced algorithms to process thousands of energy data points per second from diverse operational sources. Your expertise will be crucial in managing vast datasets while implementing sophisticated classification and anomaly detection models in real-time. You will maintain comprehensive data lineage and deliver actionable insights through high-performance platforms utilized by energy operators around the world.As a member of the Data Platform Team, you will oversee all machine learning operations across our extensive energy data ecosystem. Your work will span from raw sensor data from millions of energy assets to complex operational datasets, generating high-value predictions such as equipment failure detection, energy demand forecasting, operational anomaly identification, predictive maintenance scheduling, and system optimization recommendations.We pride ourselves on developing a robust suite of statistical and machine learning models that provide the most precise and actionable insights into energy operations. Our models are continuously validated by in-house energy analysts and traders, ensuring the reliability of our predictions. You will play a key role in designing and building ML infrastructure and applications that enhance the design, deployment, and monitoring of ML pipelines and models.Collaborating closely with software engineers, fellow data scientists, and energy analysts, you will help bridge the gap between research experiments and production energy systems, ensuring operational uptime and fault tolerance of our ML platform.

Join our dynamic team at ravio as a Senior Data Product Manager, where you will play a pivotal role in shaping our data-driven strategies and product offerings. You will collaborate closely with cross-functional teams to define product vision, drive data insights, and ensure the successful delivery of innovative solutions that meet our customers' needs.In this role, you will leverage your expertise in data analytics and product management to guide the development and optimization of our data products. Your insights will inform strategic decisions, enhance user experiences, and contribute to the overall growth of ravio.

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 DeepL as a Senior Data ScientistDeepL is a pioneering AI product and research organization dedicated to crafting secure, intelligent solutions to tackle complex business challenges. With a clientele of over 200,000 businesses and millions of users in 228 global markets, our Language AI platform is relied upon for its human-like translations, enhanced writing capabilities, and real-time voice translation.Founded in 2017 by CEO Jarek Kutylowski, DeepL now boasts a talented team of over 1,000 individuals and backing from esteemed investors like Benchmark, IVP, and Index Ventures. Our mission is to lead the global AI technology space by developing products that enhance communication, foster connections, and make a significant impact on society. We seek passionate professionals ready to innovate and grow their careers in a dynamic and purpose-driven environment.What Makes DeepL UniqueAt DeepL, we blend cutting-edge AI technology with meaningful work in a culture that champions individual growth. Our team of innovators, researchers, and creators shares a vision to unlock human potential by making work more efficient, smarter, and interconnected.Our employees frequently express positive sentiments about their experiences at DeepL, attributing it to our impactful technology and the values of trust, curiosity, and care that permeate our culture.Joining DeepL means becoming part of a dedicated team committed to innovation, growth, and employee well-being. Explore more about life at DeepL on our LinkedIn, Instagram, and Blog.

Hudl seeks a Senior Data Scientist to focus on athlete performance analytics. This role is based in either Barcelona or London. Key responsibilities Analyze complex data sets related to athletes and training to identify meaningful patterns and insights. Create data-driven solutions that support athletes and coaches in improving performance. Work closely with cross-functional teams to develop and enhance data products centered on training and performance metrics. Location This position is available in Barcelona, Spain or London, United Kingdom.

Join Our Team as a Senior Data Scientist - Conversational & Agentic AILocation: London (Hybrid)About SwapAt Swap, we are at the forefront of revolutionizing agentic commerce with our innovative AI-native platform. We connect backend operations seamlessly with a modern storefront experience.Our platform is tailored for brands eager to expand their reach, enabling them to sell anything, anywhere. Swap consolidates global operations, enhances intelligent workflows, and empowers businesses to make informed decisions with real-time data. Our extensive product range includes solutions for cross-border transactions, tax management, returns, demand planning, and next-generation agentic storefronts, providing merchants with full transparency and confidence in their operations.We foster a company culture that values clarity, creativity, and shared ownership as we redefine the landscape of global commerce.About the RoleWe are looking for a Senior Data Scientist to spearhead the development and evaluation of intelligent autonomous AI agents focused on B2B analytics and operational workflows. You will be responsible for engineering sophisticated systems that enable agents to autonomously analyze data, generate actionable insights, execute operational tasks, and orchestrate complex business processes. Your role will involve working across analytical and operational workflows, designing multi-agent ecosystems, establishing evaluation frameworks, and ensuring the reliability of complex agentic systems in production.Key ResponsibilitiesAgentic System Design & Multi-Agent Architecture: Architect AI agent ecosystems capable of autonomously managing analytical and operational workflows, including data exploration, insight generation, process automation, and cross-functional coordination.Analytical & Operational Workflow Design: Create agent systems that proficiently navigate data discovery, hypothesis testing, insight delivery, and operational task execution, effectively managing transitions between specialized agents (SQL, visualization, statistical analysis, workflow automation).Prompt Engineering & Agent Optimization: Craft and refine prompts for autonomous agents, incorporating few-shot learning, chain-of-thought reasoning, tool usage, and structured output generation for multi-step analytical and operational workflows.Comprehensive Evaluation Frameworks: Develop evaluation systems that measure analytical accuracy, operational task success, agent reliability, and coordination effectiveness. Create automated testing suites, benchmark datasets, and continuous production monitoring protocols.Agent Performance Analysis: Conduct thorough analyses of agent performance to drive system improvements and enhance operational efficiency.

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.

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.

The Senior Manager, Data Analytics at Checkout.com leads a team focused on supporting data-driven decisions throughout the company. Based in London, this role manages the creation and delivery of business intelligence solutions, using analytics to surface trends and opportunities that shape business direction. Role overview This position combines strategic thinking with practical leadership. The Senior Manager guides complex data projects from planning to execution, ensuring results align with organizational goals. Collaboration with teams across functions is a key part of daily work. What you will do Direct and mentor a team of data analytics professionals Oversee the development of business intelligence tools and solutions Apply advanced analytics to identify insights that support business growth Work closely with other departments to align analytics initiatives with company needs Requirements Strong experience leading analytics teams and projects Ability to manage complex data initiatives from start to finish Skilled at collaborating with cross-functional groups Strategic mindset with a hands-on approach to problem-solving

Senior Data Scientist - ExperimentationBecome a pivotal part of our journey to revolutionize how people shop and dine, with a focus on impact, innovation, and growth. Our Analytics team is central to Deliveroo, enabling informed decision-making across product, commercial, and operational aspects through rigorous experimentation, causal inference, and advanced machine learning techniques.We nurture a vibrant Analytics community, featuring guest lectures, study groups, mentorship programs, and a comprehensive technical review process.Our data scientists come from diverse backgrounds but share a commitment to excellence.We are on the lookout for a Senior Data Scientist to join our London team, with a hybrid work model requiring 3 days in the office. In this capacity, you will empower high-quality, human-led decision-making to maximize our impact.Your ResponsibilitiesAs a Senior Data Scientist at Deliveroo, your primary objective will be to optimize business impact within one of our product domains. A significant aspect of your role will involve designing, executing, and interpreting experiments, along with utilizing causal inference to inform product decisions in complex real-world environments.You will delve deeper than merely answering whether a feature was successful; your focus will be on uncovering the genuine impact, understanding the reasons behind the outcomes, and how results can be applied across various users, markets, and timelines.Here’s a glimpse into your day-to-day activities:Strategic Insights through Experimentation: Spearheading the design of both straightforward and intricate experiments, proactively translating insights into strategic initiatives.Expertise in Causal Inference: Employing sophisticated techniques to assess long-term and varied treatment effects.Deriving Trustworthy Conclusions: Navigating settings with selection bias or imperfect randomization.Generating In-depth Product Insights: Identifying fundamental factors influencing experiment performance, understanding why features thrive, and how results can be generalized across different users, markets, and timelines.Utilizing insights from previous experiments to enhance future decision-making.Your QualificationsProven experience in designing, implementing, and interpreting A/B experiments within production environments.Robust understanding of causal inference concepts.Capacity to apply statistical reasoning to complex real-world product challenges.

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.

Join Entain, a global leader in sports betting and gaming entertainment, as a Senior Data Scientist. In this pivotal role, you will leverage cutting-edge analytics and machine learning techniques to drive data-driven decisions that enhance our customer experience and optimize business operations.Your expertise will be critical in developing predictive models, conducting complex data analyses, and collaborating with cross-functional teams to implement data strategies that support our ambitious growth objectives.

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.

Why Join Faculty?Founded in 2014, Faculty believes that AI is the defining technology of our era. We have successfully partnered with over 350 global clients to enhance performance through human-centric AI solutions. Discover our real-world impact here.We prioritize innovation over hype, focusing on creating and implementing responsible AI that truly makes a difference. Our extensive expertise spans various sectors, including government, finance, retail, energy, life sciences, and defense.As our business and reputation continue to expand rapidly, we are eager to recruit individuals who are intellectually curious and passionate about building a positive legacy through technology.Join us in leveraging AI’s transformative power to revolutionize decision-making processes in critical fields.About the TeamThe Faculty Frontier™ product represents our ambitious goal of developing the first enterprise-grade platform that integrates decision intelligence with AI agents to optimize key processes in large organizations. You will tackle complex challenges with a focus on healthcare and life sciences.Role OverviewAs a Senior Data Scientist, you will play a pivotal role in shaping our Frontier Decision Intelligence Platform. You will lead the design and implementation of AI-powered digital twins that redefine organizational decision-making. Working within cross-functional teams, you will blend technical prowess with commercial insight to address intricate customer challenges. This is also an opportunity to mentor emerging talent while delivering impactful, production-grade AI solutions in a dynamic and entrepreneurial setting.

About Checkout.com Checkout.com supports the online payment experience for major brands such as eBay, ASOS, Klarna, Uber Eats, and Sony. The company’s mission centers on making digital payments simple and reliable for both businesses and consumers. Headquartered in London, Checkout.com operates from 19 offices across six continents. The team values innovation, high performance, and ongoing growth. Joining Checkout.com means becoming part of a fintech organization focused on continuous improvement. Role Overview: Graduate Data Scientist in Analytics The Graduate Data Scientist in Analytics will help generate insights into product performance and build a single, trusted source for key business metrics. This position works closely with product managers and data scientists to inform product decisions and development. The role involves end-to-end responsibility for data products, from initial concept through to implementation and ongoing operation. There is also scope to build new analytics tools and shape how data is used across the business. Main Responsibilities Design and build scalable, reusable data models for the data warehouse using dbt and Snowflake. Develop Looker structures (explores, views, and more) to enable self-service analytics for teams across the company. Work with data analysts and business partners to gather requirements and deliver data sets ready for analysis and reporting. Continuously improve, transform, test, deploy, and document data sources and models. Support and help define data warehouse governance: data quality, testing, documentation, coding standards, and peer reviews. Seek out ways to improve analytics engineering workflows and platforms. Location This position is based in London.