Senior Data Scientist in Fraud Prevention

Join our innovative team at GoCardless as a Senior Data Scientist specializing in Fraud Prevention. In this pivotal role, you will leverage your advanced analytical skills and expertise in data science to develop robust fraud detection models and strategies. You will collaborate with cross-functional teams to implement these solutions and safeguard our customers against fraudulent activities.

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

Join Wise as a Staff Data Scientist specializing in Fraud Analysis. As a pivotal member of our team, you will leverage data to develop innovative solutions that combat fraud, ensuring the security and trust of our financial services. This role involves analyzing vast datasets, creating predictive models, and collaborating with cross-functional teams to implement effective fraud prevention strategies.

Role overview Wise seeks a Staff Data Scientist specializing in Fraud Analysis to help advance fraud detection and prevention. This London-based role focuses on analyzing complex data to protect both the company and its customers. What you will do Apply advanced analytics and machine learning to identify and reduce fraudulent activities. Collaborate with teams across Wise to enhance fraud prevention systems. Produce insights that guide strategic decisions and strengthen safeguards for customers and the business.

At Trustpilot, we are on an exciting journey as a profitable, high-growth FTSE-250 company with a bold vision: to be the universal symbol of trust. We operate the largest independent consumer review platform globally, and while we've achieved significant milestones, there's much more exhilarating work ahead. Join us at the forefront of trust!We are in search of an inquisitive and analytical Fraud Detection Analyst to become part of our global Fraud & Investigations team. In this role, you will analyze data, identify trends, and formulate detection rules that play a crucial role in preventing fraud, thereby protecting consumers, businesses, and the integrity of our platform.You'll tackle complex and often ambiguous challenges in the dynamic landscape of online trust. If you are passionate about problem-solving, delving into data, and making a significant impact, this is your opportunity.Joining a collaborative and inquisitive team that values transparency, fairness, and humor, you will contribute to the broader Trust & Transparency team, driving change across the organization and helping us achieve our vision of being the online symbol of trust.Key Responsibilities:Analyze fraud patterns and develop a comprehensive understanding of fraudulent behavior on our platform using SQL, Google BigQuery, and Google Looker.Create rules based on your analysis to mitigate fraudulent activities across our platform.Investigate escalated cases related to potential misuse of our platform and support media, legal, and customer inquiries.Collaborate with data science experts to enhance our technological and procedural methods for identifying fraud.Work closely with engineering teams to improve internal tools and databases that bolster our fraud prevention efforts.Serve as a key resource for other departments by analyzing customer and reviewer behavior on the platform.Communicate findings from analyses and investigations to various stakeholders across the department and the wider company.Report directly to our Lead Fraud & Investigation Analyst.

Join Ravelin, the forefront of fraud detection technology! We leverage cutting-edge machine learning and network analysis to tackle significant challenges in online transaction security. Our mission is to ensure that online transactions are safe, allowing our clients to confidently serve their customers.We believe in fostering a vibrant workplace culture characterized by empathy, ambition, unity, and integrity. At Ravelin, we emphasize work-life balance and maintain a flat hierarchy across the company. By becoming part of our team, you will quickly gain insights into the latest technologies while collaborating with some of the brightest minds in the industry. Check out our Glassdoor reviews!If you resonate with our values and enthusiasm for preventing fraud, we encourage you to explore our blog to see how you can contribute to safeguarding the world's largest online businesses.The RoleWe are excited to welcome a Junior Data Scientist to our dynamic team of client-facing data scientists and support analysts. In this pivotal role, you will delve into client data to uncover patterns and trends related to fraud. By applying exploratory analysis, you will create meaningful narratives from data, probing not just “what” and “how” but also “why.” Your interactions with clients will be crucial in helping them understand their fraud landscape and refining our focus on targeted solutions.ResponsibilitiesEngage directly with clients to deliver insights from fraud analytics and machine learning models.Examine large datasets to pinpoint fraud patterns, trends, and emerging threats, enhancing client outcomes.Collaborate with clients to address specific fraud challenges, developing effective and innovative solutions.Compile reports and present analytical findings to clients as needed.Identify new model features and enhance model efficacy.Optimize graph network performance through network analysis.Gain practical experience with our cloud infrastructure and utilize available tools to enhance client data and performance.Develop internal tools in Python to improve our analytical abilities.

Fraud Manager - GermanyHybrid in LondonAbout UsAt iwoca, we're creating an ecosystem where small businesses can flourish. We believe that small enterprises are not mere statistics – they are vital components of our communities, the essence of our high streets, and the driving force of our economy. Since our inception in 2012, we have transformed the way these businesses access financing, streamlining a previously cumbersome and frustrating process into a seamless journey: fast, flexible funding that caters to the needs of modern businesses.Our achievements are evident: we've disbursed billions in funding to over 150,000 businesses throughout Europe, solidifying our position as one of the continent's foremost fintech trailblazers. But our journey is only beginning. Our goal? To empower one million businesses with the financial tools they truly deserve.The TeamThe DE Compliance team is an independent group of experts committed to ensuring iwoca remains a secure and reliable partner for German SMEs. This team operates at the crossroads of technology and risk management, working in close collaboration with Tech, Operations, and Risk Management to develop robust fraud detection systems. In an agile environment, the team regularly convenes to share insights on emerging fraud trends and collaborates on cross-functional projects to proactively address evolving threats.Role OverviewAs a Fraud Manager, you will play a pivotal role in shaping the security and integrity of our digital lending products. You will have the autonomy to identify emerging risks and the influence to implement both technical and strategic solutions to mitigate them.Your Impact:Identify and assess emerging fraud scenarios, including impersonation, social engineering, and account takeovers (ATO).Develop and adjust the fraud strategy tailored for the German digital lending market, ensuring an optimal balance between risk management and conversion rates.Design effective verification processes that safeguard the business while minimizing friction for our customers.Innovation & Collaboration:Collaborate with Tech and Data teams to deploy automated detection mechanisms, leveraging machine learning models and rule-based systems.Lead the selection and implementation of innovative technologies to enhance the fraud prevention toolkit.Create and conduct training programs to elevate fraud awareness across the organization and with our external partners.

About UsGreetings! We are Ravelin, a pioneering fraud detection firm leveraging state-of-the-art machine learning and network analysis technologies to tackle significant challenges. Our mission is to enhance the safety of online transactions, empowering our clients to serve their customers with confidence.We also believe in enjoying the journey! Our team is welcoming and we take pride in our vibrant culture, embodying values such as empathy, ambition, unity, and integrity. We emphasize a healthy work/life balance and embrace a flat organizational structure. Join us to quickly learn about cutting-edge technologies while collaborating with some of the brightest and kindest individuals - check our Glassdoor reviews!If this resonates with you, we are eager to connect! For further insights, visit our blog and discover how you can help us combat fraud and safeguard the world's leading online businesses.The TeamYou will be a vital part of the Detection team, dedicated to minimizing fraud rates and ensuring client satisfaction by continually training and deploying machine learning models. Our objective is to simplify model deployments to be as seamless and error-free as possible, adhering to Google's Best Practices for ML Engineering.Our models are expertly trained to identify various types of fraud in real-time, utilizing diverse data sources and techniques. Our prediction pipelines operate under strict SLAs, ensuring every prediction is delivered within 300ms. When models underperform, it is the Detection team's responsibility to investigate the issues.The Detection team is pivotal to Ravelin’s success, collaborating closely with the Data Engineering Team, who build the infrastructure, and the Intelligence & Investigations Team, who engage with our clients.The RoleWe are seeking a Data Scientist to train, deploy, debug, and evaluate our fraud detection models. The ideal candidate will be pragmatic, approachable, and equipped with insights gained from previous experiences.Assessing fraud models can be challenging; often, labels may not be available for up to three months. You will need to exercise your judgment when exploring ambiguous fraud cases and validating the efficacy of the models themselves.We strive to develop robust models capable of adapting their insights when exposed to new fraud tactics; our clients expect us to stay ahead of fraud trends. You will receive the tools, environment, and guidance necessary to create world-class fraud detection solutions.

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.

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.

About MarshmallowAt Marshmallow, we strive to simplify the migration process.Addressing a complex challenge of this scale requires a team of inquisitive minds dedicated to discovering innovative solutions. We are looking for individuals who question the why, deconstruct assumptions, and proactively seek to create better pathways.A career at Marshmallow promotes continuous growth, with a strong emphasis on learning. You will be encouraged to elevate your skills and will receive the necessary tools and support to achieve this, enabling you to produce meaningful work and instigate change.If you resonate with our approach at Marshmallow, we invite you to explore our Culture Handbook to learn more.Advance our mission and your career simultaneously.Data Science at MarshmallowOur Data Science team collaborates across various departments to transform data into informed decisions, enhanced products, and streamlined customer experiences. We partner closely with Product, Engineering, and Operations to develop and implement models and AI systems that are dependable in production and yield measurable results.In this role within Data Science, you will focus on Claims, particularly Claims Fraud, and drive our vision to further automate the claims process. This area represents a vital interaction point for our customers, and we seek a Principal Data Scientist capable of providing technical direction in both traditional Machine Learning and Generative AI. You will apply systemic thinking to scale decision-making processes and confidently assess proposals to ensure we build resilient and sustainable solutions.Key ResponsibilitiesLead technical initiatives within data science for Claims Fraud, influencing risk decision-making and fraud detection in collaboration with Product and Engineering teams.Design, develop, and refine production ML and Generative AI/LLM systems that facilitate claims validation and automation.Work closely with fellow Claims data scientists to incorporate systemic thinking regarding the integration of models, data, and workflows, pinpointing architectural enhancements necessary to scale decision-making and accelerate time-to-production.Advocate for essential platform and tooling investments (monitoring, feedback loops, QA) required to accomplish AI-driven end-to-end claims automation.Champion the development of robust, scalable, and strategic solutions that address the challenges within our claims processes.

At Zopa, we're on a mission to reshape the financial landscape, and we need a Senior Fraud Analyst to join our dynamic Fraud Analytics team. In this pivotal role, you will leverage your analytical expertise and keen judgment to combat fraud, ensuring the safety of our customers and our business. You will independently conduct in-depth fraud analyses, support incident responses, and serve as a senior analytical resource within our team. Your contributions will directly influence real-time and strategic decision-making processes, propelling Zopa forward in our commitment to innovation in finance.

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.

Role Overview Deliveroo is looking for a Senior Data Scientist to join the team in London at The River Building HQ. This role focuses on using data analytics to guide decisions and improve our platforms. The work directly supports how we shape the future of food delivery. What You Will Do Work alongside cross-functional teams to develop predictive models Analyze large datasets to find insights that inform business strategy Translate complex data into clear, actionable recommendations Location This position is based in London at The River Building HQ.

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...