Data Scientist

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.

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.

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

Join 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.

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

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

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.

Join our dynamic team at Trainline as a Data Scientist, where you will leverage data to drive insights and influence strategic decisions. You will work with cross-functional teams to develop models that enhance our customer experience and optimize our operations. If you have a passion for data and want to make a real impact in the travel industry, this is the opportunity for you!

Join our dynamic team at Duffel as a Fraud Analyst in London, where you will play a crucial role in identifying and preventing fraudulent activities. Your keen analytical skills will be essential in assessing risks and implementing effective strategies to safeguard our operations. If you are passionate about leveraging technology and data analysis to combat fraud, we want to hear from you!

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.

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 us as a Fraud Analyst in London, where we are revolutionizing the travel industry.Are you passionate about data analysis and fraud prevention? At Duffel, we are committed to simplifying travel by enhancing payment systems and ensuring secure transactions for over 4 billion airline passengers.As a part of our dynamic London team, you will play a crucial role in identifying fraudulent activities, formulating detection rules, and collaborating with our engineering and data science teams.If you thrive on solving complex challenges and making a significant impact, this is your opportunity to contribute to the future of travel!

Who We Are Dataseat, a proud member of the Verve Group since July 2022, was founded by industry pioneers David Philippson and Dr. Paul Hayton. Our mission is to revolutionize how app marketers manage their programmatic media campaigns. We offer a cutting-edge Bidder or DSP as a service, empowering app marketers to take control of user acquisition and re-engagement through in-house programmatic media buying. Our comprehensive analytics provide clients with crucial insights on fraud, attribution accuracy, and incrementality, supporting marketers in building their in-house business case and optimizing their media strategy. Discover more at www.dataseat.com.

About the Role Utility Warehouse is looking for a Data Scientist to join the team in London. This position focuses on analyzing large and varied data sets to uncover insights that support business decisions. The Data Scientist will work closely with colleagues from different departments to build predictive models, run experiments, and strengthen the company’s analytics practice. What You Will Do Analyze complex data sets to identify trends and patterns Develop and refine predictive models Collaborate with teams across the business to support data-driven projects Design and conduct experiments to test hypotheses and improve outcomes Help advance Utility Warehouse’s overall data analytics capabilities Location This role is based in London.

Join Spotify's Company Planning and Execution (CPE) team as a Data Scientist. In this role, you will leverage your analytical skills to drive data-informed decision-making that aligns with our strategic objectives. You will work closely with cross-functional teams to uncover insights that enhance our planning processes and execution strategies.

Join the Applied Foundations team at OpenAI, where we are committed to not only revolutionizing technology but also safeguarding it against a wide array of adversarial threats. Our mission is to uphold the integrity of our platforms as they expand. We are at the forefront of defending against financial abuse, scaled attacks, and other forms of misuse that could compromise user experience or operational stability.The Integrity pillar within Applied Foundations is charged with overseeing the systems that identify and address harmful activities on OpenAI’s platforms. As we enhance our capabilities to tackle some of the most pressing usage harms, we are seeking experienced data scientists to robustly measure the prevalence of these issues and evaluate the effectiveness of our responses.About the RoleWe are looking for seasoned trust and safety data scientists to enhance, operationalize, and monitor measurements for intricate actor- and network-level harms. In this role, you will take ownership of measurement and metrics across various established harm verticals, including estimating the prevalence of on-platform (and occasionally off-platform) harm, as well as analyses to uncover gaps and opportunities in our responses.This position is based in our London office and may require addressing urgent escalations outside of standard working hours. Some areas of concern may involve sensitive content, including sexual, violent, or otherwise disturbing material.In this role, you will:Take charge of measurement and quantitative analysis for a range of significant actor- and network-based usage harm verticals.Design and implement AI-first methods for prevalence measurement and other safety metrics, potentially utilizing off-platform indicators or non-traditional datasets.Develop metrics suitable for goal-setting or A/B tests when standard top-line metrics are inadequate.Manage dashboards and metrics reporting for harm verticals.Perform analyses and generate insights that drive improvements in review, detection, or enforcement, influencing strategic roadmaps.Optimize LLM prompts for the purpose of measurement.Collaborate with other safety teams to grasp key safety concerns and formulate relevant policies to support safety objectives.Engage in additional duties as required to ensure the integrity and safety of OpenAI’s platforms.