Data Scientist, Subscriptions

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.

About Our TeamAt OpenAI, our mission is to advance artificial intelligence technology to ensure it serves the best interests of humanity. We understand that the path to achieving this goal involves real-world implementation and continuous improvement based on our findings.The Intelligence and Investigations team plays a crucial role in this mission by identifying and examining instances of misuse of our products, particularly emerging forms of abuse. This work empowers our partner teams to formulate data-driven product policies and develop extensive safety measures. By thoroughly comprehending abuse patterns, we can empower users to innovate with our technologies safely.About the RoleThe Protection Scientist Engineer position is a multidisciplinary role that blends expertise in data science, machine learning, investigative methodologies, and policy development. As a key member of the Integrity and Investigations team, your primary responsibility will be to design and implement systems that proactively detect and mitigate abuse of OpenAI’s products. This includes establishing robust abuse monitoring frameworks for new releases, maintaining oversight for existing offerings, and innovating defensive systems against our most significant risks. You will also investigate urgent escalations, particularly those that escape our existing safety protocols, requiring a deep understanding of our products and data, and collaborating closely with product, policy, and engineering teams.This position is based in our London office and involves participation in an on-call rotation to address urgent matters outside regular working hours. Some investigations may require handling sensitive content, including material that is sexual, violent, or otherwise distressing.Key ResponsibilitiesDefine and implement abuse monitoring protocols for new product launches.Enhance existing processes to sustain monitoring operations, focusing on automation of monitoring tasks.Develop and transition systems for detecting, reviewing, and enforcing actions against significant abuse cases.Collaborate with Product, Policy, Operations, and Investigative teams to identify and mitigate key risks, while ensuring Engineering teams have the necessary data and tools.Ideal Candidate ProfileA minimum of 4 years of experience in a related field, with a strong foundation in data science and machine learning.Exceptional analytical skills, with a proven ability to tackle complex problems.Experience working cross-functionally within diverse teams, with strong communication skills.Familiarity with safety systems and protocols in technology environments.

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 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.

About JuniorAt Junior, we are on a mission to revolutionize the investment research landscape with innovative LLM-powered tools designed specifically for private market investors. Our clientele includes some of the world's leading private equity and consulting firms, collectively managing billions in annual investments. As a profitable and bootstrapped enterprise, we have grown our team to 24 talented individuals across our London and NYC offices, and we achieved a remarkable 10x revenue growth in 2025.Discover more about our mission and values here. Role DescriptionAs our first dedicated Backend Engineer focused solely on our internal go-to-market and operations stack, you will play a pivotal role in shaping our technology framework. Your responsibilities will include:Crafting an AI-first tech stack from the ground up, influencing infrastructure decisions and priorities.Rapidly deploying internal tools and receiving immediate feedback from your team members, who will quickly become your strongest advocates!Developing and managing our data warehouse and internal data architecture.Engaging in innovative projects that leverage LLMs, automation, and advanced agent technologies.Cultivating our engineering culture. Sample Set of ProjectsUser Health Reporting + CRM Data Quality: Automate data pipelines to enhance metrics visibility in BI dashboards and ML evaluations, while establishing alert systems for risk signals.User Feedback Integration: Develop a tool that summarizes user feedback calls, prioritizes feature requests, and communicates findings to our Product team.Billing and Invoicing: Implement complex B2B pricing models encompassing usage-based, seat-based, and platform fees, while automating financial reconciliation processes.Data Warehouse Development: Create a data warehouse to integrate product, CRM, and operational data, and generate tailored dashboards for different teams. About YouWe are searching for a backend/data engineer who...

Join our dynamic team at Axle Careers as a Data Scientist, where you will leverage your analytical skills to extract meaningful insights from complex datasets. You will collaborate with cross-functional teams to develop innovative data-driven solutions that enhance business performance and drive strategic decision-making.

Join degree6 as a Data Scientist specializing in the fintech sector, where you will leverage your analytical skills to drive innovation and insights. You will be pivotal in developing data-driven solutions that enhance financial services and contribute to the evolution of our products.

Join degree6 as a Data Scientist in the fast-paced world of fintech. In this pivotal role, you will leverage your analytical expertise to drive data-driven decisions, enhance product features, and create innovative solutions that solve real-world financial challenges. You will work in a collaborative environment, engaging with cross-functional teams to deliver impactful insights and contribute to the advancement of cutting-edge financial technologies.

We are seeking a highly skilled and innovative Lead Data Scientist to join our dynamic team at Faculty. In this role, you will leverage your expertise in advanced analytics and machine learning to drive impactful data-driven solutions. You will lead a team of talented data scientists, guiding them in the development of predictive models and analytical frameworks that support our mission to optimize outcomes across various sectors.

About 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.

Role overview Wise seeks a Lead Data Scientist for the Trust and Safety team in London. The main focus is protecting the platform and its users by applying advanced analytics to financial security challenges. This position involves tackling real-world risks and helping to keep Wise’s services safe for everyone. What you will do Analyze large and complex data sets to identify trends and detect suspicious activity Develop and improve models that reduce risk and prevent fraud Collaborate with stakeholders to guide strategic decisions through data-driven insights Shape new methods to strengthen platform security and build user trust Impact The work in this role directly supports Wise’s goal of making money transfers seamless and secure. Efforts here influence how Wise protects its customers and upholds the integrity of its services.

Join our dynamic team at Intercom as a Senior Data Scientist, where you will leverage your analytical expertise to drive data-driven decisions and contribute to our innovative product development. In this role, you will collaborate with cross-functional teams to build models that enhance user experiences and optimize our services.

Join 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 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!

About ZegoAt Zego, we believe that traditional motor insurance can be a barrier for exemplary drivers. It's often too complex, costly, and fails to accurately reflect real driving behavior.Since our inception in 2016, we've dedicated ourselves to transforming the insurance landscape. Our goal is to provide the most affordable insurance options for responsible drivers.Our diverse clientele, ranging from van drivers and gig economy workers to everyday car owners, is at the core of our operations.Having successfully sold tens of millions of policies and secured over $200 million in funding, we are just getting started on this exciting journey.Your RoleWe are in search of a Lead Data Scientist to join our Core Pricing team, reporting directly to the Head of Data Science. You will play a critical role in shaping and executing a high-performance data-science operating model, swiftly transforming concepts into production-ready pricing and risk models.Key ResponsibilitiesLead the development and enhancement of next-generation risk models, managing all aspects from innovative feature discovery and sophisticated modeling to dependable pipeline deployment and strategic R&D initiatives.Implement a robust Data Science workflow: ensuring clear guidelines, templates, and documentation throughout the project lifecycle.Accelerate the idea-to-production timeline: from initial data acquisition to live rate adjustments.Promote a culture of collaborative experimentation: integrating Pricing, Data Science, Machine Learning Engineering, and Systems Engineering.Team leadership and mentorship: oversee a team of 2 Data Scientists, guiding their professional growth and development.Establish coding standards and best practices, mapping common processes and creating playbooks.Assist in selecting tools utilized throughout the Data Science project lifecycle.

Are you passionate about data and eager to drive innovation? Join Hudl as a Lead Data Scientist and take the reins in shaping data-driven strategies. In this role, you will leverage advanced analytics to enhance performance across various teams and projects, while mentoring junior data scientists to foster their growth.

About 10a Labs: At 10a Labs, we serve as the premier safety and threat-intelligence layer, relied upon by cutting-edge AI laboratories, high-growth AI companies, Fortune 10 enterprises, and leading global technology platforms. Our expertise in adversarial red teaming, model evaluations, and intelligence gathering empowers engineering, safety, and security teams to outpace evolving threats while ensuring the safe deployment of AI systems.The Investigations Team at 10a Labs is seeking additional support to effectively respond to critical safety incidents and conduct thorough investigations across various abuse areas, including but not limited to Violence, Hate, Mental Health, CBRNE, Child Safety, Cyber Abuse, and more.About the Role:As a Threat Investigator, you will play a key role in supporting our London-based Investigations Team covering Europe, the Middle East, and Africa (EMEA). Your responsibilities will include identifying and responding to malicious activities and abuse on our platform, investigating suspicious behaviors, drafting detailed reports based on your findings, and providing actionable recommendations. This role necessitates a strong technical background in investigating threat actors, harmful behaviors, and cyber abuse, alongside proficiency in SQL and Python for data querying, transformation, and analysis. You will also manage escalations and reactive leads, including those that may not be identified by our current safety systems.Investigations may involve exposure to sensitive and distressing content, including sexual, violent, or otherwise disturbing material.This position includes an on-call component, requiring you to address urgent escalations outside of standard working hours, which may occasionally include evenings and weekends. The typical on-call rotation consists of 7 consecutive days every 2 months, though this may vary based on operational requirements, and candidates should be prepared to be flexible.Key Responsibilities:Proactively identify and track malicious actors on our platform.Investigate potentially policy-violating activities by querying internal data sources (using SQL and Python) and cross-referencing open-source information (OSINT).Document and communicate investigative findings to internal stakeholders.

Join our dynamic team at Faculty as a Data Scientist, where your analytical prowess will help drive impactful decisions across various sectors. In this role, you'll leverage advanced statistical techniques and machine learning algorithms to extract insights from complex datasets, delivering actionable recommendations to stakeholders. Collaborate with cross-functional teams to innovate and optimize data-driven solutions that enhance our clients' operational efficiency.

Shift Technology stands as the premier AI platform dedicated to revolutionizing the insurance sector. By integrating generative, agentic, and predictive AI, Shift enhances underwriting, claims management, fraud detection, and risk assessment, all while fostering operational efficiency and delivering outstanding customer experiences. Our proven solutions have earned the trust of the world's foremost insurers, allowing us to provide AI-driven insights at scale and with impactful results.Our workplace culture thrives on innovation, trust, and a shared mission to redefine the insurance landscape through our SaaS offerings. With a team representing over 50 diverse nationalities, we are collectively shaping the future of insurance.As a recent graduate, you’re eager to embark on your first full-time Data Science career.In this role, you will engage with a wide range of challenges, contributing to the design and enhancement of our products focused on fraud detection, anti-money laundering, and claims automation. You’ll collaborate with a team rich in technical proficiency and professional knowledge, encompassing data science, data engineering, coding, business acumen, and client interaction. The role entails working with various data types, including structured data, unstructured text, documents, and images.This position is ideal if you’re looking for a permanent role and can commute to our London office 2-3 days a week. Shift Technology is the perfect launchpad for your career journey!