Senior AI Data Scientist - AML Solutions

Role overview Wise seeks a Senior AI Data Scientist in London to focus on Anti-Money Laundering (AML) solutions. The position involves building analytics and machine learning models aimed at identifying and preventing fraudulent transactions. What you will do Design and refine machine learning models that enhance AML initiatives Use data analytics to uncover patterns associated with financial crime Work closely with compliance, engineering, and operations teams to deliver AI-driven tools Contribute to process improvements that reinforce Wise’s compliance and daily operations Collaboration This role is part of the data science team and involves working alongside colleagues from various backgrounds. The goal is to keep Wise’s AML solutions effective and responsive to new challenges.

Join Funding Circle as a Senior Data Scientist specializing in Generative AI. In this pivotal role, you will leverage your expertise in machine learning and data analysis to drive innovative solutions and enhance our data-driven decision-making processes. Collaborate with cross-functional teams to develop models that transform complex data into actionable insights.

Cint is seeking a Senior Data Scientist in AI & Synthetic Intelligence to join the London team. This position focuses on applying advanced data analytics and machine learning to support business goals and improve decision-making. Role overview This role centers on developing predictive models and algorithms that help solve complex business problems. Collaboration with colleagues across different departments is a key part of daily work, ensuring solutions are practical and impactful. What you will do Use advanced analytics and machine learning to create models that inform business strategy Work with cross-functional teams to understand challenges and design effective solutions Contribute to the ongoing development of data-driven approaches at Cint Impact Your work will help shape how Cint uses data to innovate and make informed decisions, supporting the company’s long-term strategy.

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.

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.

Join Our Innovative Team at MAGIC AIMAGIC AI is revolutionizing the in-home fitness industry with our state-of-the-art health coaching platform that leverages computer vision, connected weights, and advanced cameras to deliver customized training sessions guided by elite athletes. Our innovative solution has garnered significant attention, being featured in Selfridges, highlighted on Good Morning Britain, and recognized in Fast Company's list of the World's Most Innovative Companies for 2024. Despite being a small team, we achieved remarkable revenue growth in our inaugural financial year.As a pioneer in the field, MAGIC AI provides users the unique experience to engage in workouts before an intelligent hologram mirror. Our proprietary computer vision software facilitates real-time form correction, rep counting, and live feedback, resulting in a personalized workout journey. Collaborations with top athletes allow us to create exclusive training content across various disciplines including sports, strength training, yoga, and dance, offering premium coaching without the associated costs.Backed by significant venture capital from leading multi-billion-dollar firms, our team includes accomplished professionals with successful startup exits, positioning MAGIC AI as a formidable player in the health tech space.About the PositionWe invite you to join our Data Science team, focusing on our advanced ReflectAI® tracking technology. This role reports to our CTO and involves collaboration with a talented group of professionals, all of whom have significant experience in the tech industry. This is a fulfilling opportunity to contribute to innovative projects.Your ResponsibilitiesEngage in close collaboration with fellow Data Scientists and the Engineering Team to enhance our ReflectAI® technology.Utilize MediaPipe and MoveNet for pose estimation, analyzing the coordinates provided by these libraries.Create algorithms to accurately compute metrics such as total reps, rep progress, rep speed, and form quality through coordination analysis.Develop and train new AI models while optimizing them for specific hardware accelerators.Apply statistical analysis techniques to reduce inaccuracies in complex occlusion scenarios.Work alongside the Product team to ensure that technical and product requirements are met effectively.Collaborate with Quality Assurance to troubleshoot and minimize bugs in staging and production releases.Facilitate the seamless and regular release of updates for our software.

Intercom is a pioneering AI Customer Service company dedicated to enhancing the customer experience for businesses worldwide.Our flagship AI agent, Fin, represents the pinnacle of customer service AI technology. It empowers businesses to offer seamless, 24/7 customer service, significantly improving their customer engagement. When integrated with our Helpdesk, Fin evolves into the Intercom Customer Service Suite, providing AI-augmented support for complex inquiries that necessitate human intervention.Since our establishment in 2011, we have earned the trust of nearly 30,000 businesses globally, setting the benchmark for unparalleled customer service. Our core values drive us to innovate, act with speed and intensity, and deliver exceptional value to our clients.What is the opportunity?Join our Research, Analytics & Data Science (RAD) team, where we transform insights into actionable strategies. We analyze customer, product, and business data, translating them into tools that integrate seamlessly into go-to-market (GTM) workflows.The advent of AI has ushered in a new era of internal tools for our GTM teams. We are progressing from traditional dashboards to sophisticated workflows powered by large language models (LLMs) and AI agents that are capable of autonomously conducting account research, summarizing previous interactions, drafting tailored outreach, identifying renewal risks, and generating reports, thereby allowing Sales and Success teams to concentrate on high-impact conversations.The RAD team collaborates closely with GTM Systems to identify challenges, devise solutions, and evaluate their impact from prototype through to production.This role demands a high level of ownership from someone who thrives in uncertain environments, is passionate about solving intricate real-world challenges, and gains satisfaction from seeing their contributions lead to measurable business results.What will I be doing?Design, evaluate, and deploy AI-powered internal tools for GTM applications, including account research and summaries, recommendations for next steps, renewal likelihood assessments, pipeline risk identification, and post-call follow-ups.Manage the entire lifecycle: Take ownership from problem identification and data modeling to the development of production-ready tools, including creating Python backends and React frontends.Rapid prototyping and deployment: Collaborate with users to build quickly, then iterate and enhance for maximum impact.Measure for success: Define success metrics based on actual usage and quantifiable business outcomes.

At Swap, we are revolutionizing the landscape of modern agentic commerce through our innovative AI-native platform. Our technology seamlessly integrates backend operations with an advanced storefront experience, empowering brands to sell anything, anywhere.Designed for forward-thinking brands, Swap centralizes global operations, enhances intelligent workflows, and enables margin-protecting decisions utilizing real-time data. Our comprehensive product suite encompasses cross-border logistics, tax management, returns processing, demand planning, and our pioneering agentic storefront, ensuring merchants have full transparency and the confidence to act decisively.We are committed to fostering a culture that prioritizes clarity, creativity, and shared ownership as we redefine the dynamics of global commerce.About the RoleWe are seeking an extraordinary individual who transcends traditional data science. Our ideal candidate embodies: • A blend of human intuition and machine intelligence. • The ability to run parallel code paths and deploy agents to explore solutions autonomously.Join our Agentic squad, collaborating with five other AI and data science experts to refine, scale, and innovate the intelligence layer that powers our agentic storefront. This senior-level, high-agency generalist role is for someone who can navigate models, agents, experiments, and product decisions with agility and speed in a startup setting.Key ResponsibilitiesWork in tandem with Product, Engineering, and the Agentic team to enhance AI-driven features throughout the entire commerce journey.Design and refine recommendation and personalization systems leveraging behavioral and transactional data.Advance conversational agents, multi-agent workflows, and tool integrations.Iterate on virtual try-on and vision systems using prompt engineering, fine-tuning, and model chaining.Rapidly prototype new AI functionalities and transition them into production-grade systems.Establish and enhance experimentation frameworks, including A/B testing, evaluation pipelines, and benchmarking.Drive improvements in conversion, retention, and operational efficiency through applied machine learning.Identify automation opportunities and design agent-driven internal tools.

Join Experian as a Data Scientist specializing in Generative AI and AI Engineering. In this role, you will leverage cutting-edge technology to analyze complex data sets, develop innovative AI models, and contribute to transformative projects that drive business success. Your expertise will be essential in shaping the future of data-driven insights.

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.

Why Join Faculty?Founded in 2014, Faculty believes that artificial intelligence is the defining technology of our era. With over 350 global clients, we have successfully transformed performance through human-centric AI solutions. Explore our real-world impact here.We prioritize substance over hype. Our commitment lies in innovating, developing, and implementing responsible AI that genuinely makes a difference. Our expertise spans across various sectors, including government, finance, retail, energy, life sciences, and defense.As our business grows rapidly, we seek individuals who share our intellectual curiosity and aim to create a meaningful legacy through technology.Join us in harnessing the power of AI and realizing its most impactful applications.About the TeamThe Defence team is dedicated to creating and integrating human-centered AI solutions that enhance national security. We work closely with our clients to deliver ethical, reliable, and advanced AI solutions in critical situations, ensuring a balance of global power crucial for our freedom.Due to the sensitive nature of our work, candidates must be eligible for UK Security Clearance (SC) and should be prepared to work onsite with clients 2 to 4 days a week, which may involve travel across the UK. When not on client sites, you can choose to work from our London office or remotely within the UK.About the RoleAs a Senior Data Scientist, you will spearhead high-impact AI initiatives and guide the technical direction of customized solutions. This position demands both hands-on technical proficiency and strong leadership skills. You will establish data science methodologies, design resilient software architectures, mentor junior team members, and ensure robust project delivery while fostering deep client relationships and reinforcing our standing as a leader in practical, impactful AI.Your Responsibilities Include:Mapping the end-to-end data science approach...

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.

Why Join Faculty?Founded in 2014, Faculty is at the forefront of AI innovation, dedicated to transforming performance through human-centric AI solutions. With a portfolio of over 350 global clients, we pride ourselves on delivering impactful, responsible AI technologies across various sectors including government, finance, retail, energy, life sciences, and defense. Discover our real-world impact here.We prioritize innovation over hype, focusing on responsible AI that makes a measurable difference. Our team's extensive expertise in technology, product development, and project delivery sets us apart as leaders in practical AI.As our business grows rapidly, we seek individuals who share our intellectual curiosity and ambition to create a positive legacy through technology.Join us to explore the transformative power of AI and be part of a team that empowers you to realize its most potent applications.About the TeamOur Defence team specializes in developing human-centered AI solutions that enhance national security and maintain our global competitive edge. Collaborating closely with clients, we implement ethical and cutting-edge AI solutions in high-stakes scenarios, ensuring the balance of global powers that safeguards our freedom.Due to the sensitive nature of our work, candidates must be eligible for UK Security Clearance (SC) and be prepared to work on-site with clients 2 to 4 days a week, which may involve travel throughout the UK. When not on client sites, you will have the flexibility to work from our London office or remotely within the UK.About the RoleAs a Senior Data Scientist, you will lead pivotal AI projects and influence the technical direction of tailored solutions. This role blends hands-on technical expertise with essential team leadership responsibilities.You will define data science methodologies, design robust software architectures, mentor junior team members, and ensure rigorous project delivery while fostering strong client relationships that reinforce our reputation in measurable AI.

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.

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.

Role overview Trustpilot is hiring a Data Scientist for the Applied AI team in London. This position centers on Go-To-Market strategies, using data analytics and machine learning to support business growth. What you will do Apply advanced analytics and machine learning to guide business decisions Work with teams across the company to bring AI solutions into marketing efforts Help improve customer engagement and optimize marketing performance Location Based in London.

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.

CoreWeave is The Essential Cloud for AI™. Constructed for innovators by innovators, CoreWeave offers a cutting-edge platform filled with technology, tools, and expert teams that empower visionaries to create and expand AI solutions confidently. Renowned by top AI labs, startups, and global enterprises, CoreWeave merges exceptional infrastructure performance with profound technical knowledge to propel advancements and convert computational power into actionable capabilities. Established in 2017, CoreWeave became a publicly traded entity (Nasdaq: CRWV) in March 2025. Discover more at www.coreweave.com. We take pride in being a Living Wage accredited employer. What You’ll Do:The Monolith Data Science team is on a mission to develop a layered reliability platform that transitions CoreWeave from reactive troubleshooting to proactive reliability engineering. This platform encompasses telemetry ingestion, feature engineering, anomaly detection, failure prediction, and distributed straggler detection, alongside agentic root cause analysis. We work closely with Fleet, Infrastructure, and AI Platform teams to enhance cluster reliability, boost effective utilization (MFU), minimize MTTR, and safeguard uptime and revenue.About the role:As a Data Scientist, you will create sophisticated statistical models and machine learning strategies to maximize GPU utilization, optimize workload scheduling, and enhance infrastructure efficiency. You will design experiments, analyze extensive system telemetry data, and prototype predictive and optimization algorithms that directly influence production systems. This position marries rigorous research with tangible impact, transforming complex infrastructure data into quantifiable enhancements in performance and cost. You will work collaboratively across teams to convert research insights into applicable solutions.Who You Are:MS or PhD in Computer Science, Statistics, Applied Mathematics, Machine Learning, or a related quantitative field8+ years (or equivalent research experience) in implementing statistical modeling or machine learning on large-scale datasetsStrong proficiency in Python and scientific computing libraries (NumPy, pandas, SciPy, scikit-learn, PyTorch or TensorFlow)Proven experience designing and analyzing controlled experiments (A/B testing, causal inference, hypothesis testing)

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.