Data Scientist, Integrity Measurement at OpenAI | London, UK

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.

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 Our Recruiting TeamAt OpenAI, our Recruiting team serves as the entry point to a forward-thinking organization that prides itself on a mission-driven approach and meaningful relationships in hiring. We collaborate closely with various teams within the company to attract, engage, and support individuals who will contribute to the future of artificial intelligence. Our commitment lies in developing safe artificial general intelligence (AGI) for the benefit of all humanity.As a pivotal part of OpenAI's mission, the Recruiting team focuses on sourcing and hiring exceptional talent that embodies our core values and cultural aspirations. We strive to set standards of excellence and innovation in recruitment, matching remarkable candidates with opportunities that shape the AI landscape.About the RoleWe are seeking a seasoned Recruiter to enhance our Forward Deployed Engineering organization, overseeing the entire hiring process for a team dedicated to translating research breakthroughs into practical production systems. You will develop hiring strategies in partnership with business leaders, manage the sourcing and evaluation process, ensure an exceptional candidate experience, and collaborate with teams such as HRBP, Legal, and Compensation to foster a seamless and compliant recruitment procedure.Your Responsibilities Include:Oversee complete recruitment cycles for our Forward Deployed Engineering team, encompassing sourcing, managing the hiring process, and finalizing offers.Collaborate directly with business leaders to comprehend departmental needs and formulate proactive recruitment strategies that align with organizational objectives.Employ advanced sourcing techniques and tools to attract and engage elite candidates.Guarantee an outstanding candidate experience throughout the recruitment journey.Partner with internal teams such as HR, Legal, and Compensation to ensure compliance and operational excellence throughout the recruitment lifecycle.Offer expert guidance and assistance to hiring managers on best practices for interviewing, candidate evaluation, and employer branding.You Will Succeed in This Role If You Have:7+ years of full-cycle recruiting experience, specifically within in-house settings at rapidly growing firms.A proven track record of attracting top 1% talent.A high degree of adaptability in fast-paced, evolving environments, effectively balancing strategic vision with hands-on execution.Exceptional communication skills and the ability to engage effectively with diverse stakeholders.

About Our TeamAt OpenAI, we are at the forefront of AI technology, delivering innovative products like ChatGPT, o3, and Sora to users across the globe. Our mission is to empower both consumers and developers to harness the power of advanced AI models, unlocking unprecedented capabilities.We are committed to ensuring that our cutting-edge tools are utilized responsibly, which is integral to our vision of deploying beneficial Artificial General Intelligence (AGI). Prioritizing safety over unchecked growth is a fundamental principle for us.About the RoleWe are on the lookout for a seasoned Product Manager to spearhead our Integrity team's product initiatives and technical strategies. The ideal candidate will have a robust background in addressing complex issues of abuse at scale and implementing advanced protective measures across OpenAI’s product suite, including ChatGPT, API, and Sora. This position demands close collaboration with our product, safety, policy, user operations, and engineering teams.This role is based in London, England, and follows a hybrid work model, requiring in-office presence three days a week. We also offer relocation assistance for new hires.In this role, you will:Design and build tools for proactive investigation of harmful user behavior.Create infrastructure to detect and mitigate innovative misuse of OpenAI’s services.Oversee comprehensive systems aimed at preventing violations of OpenAI’s usage policies.Leverage data insights to understand user requirements and shape future product enhancements.Collaborate with diverse teams including product management, finance, operations, and engineering.You may excel in this position if you:Possess over 10 years of experience in product management or a related field.Hold a bachelor's degree in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a similar discipline.Demonstrate a proven track record in navigating technical environments and collaborating with cross-functional teams to actualize product vision, define requirements, and achieve key milestones.Exhibit exceptional communication and interpersonal skills while interacting with a variety of stakeholders.Show strong leadership, organizational, and execution capabilities, with a focus on driving results.

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 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.

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.

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.

*We operate a rolling recruitment model. Places are allocated in cohorts on a first-come, first-served basis. Please indicate your preferred cohort on the application form. If you are selected, we will do our utmost to accommodate your first choice; however, if that cohort is full, you will be placed in a subsequent one. To maximize your chances of securing your preferred cohort, we recommend submitting your application well ahead of the deadline.*For more insights into the role, watch our short video.At The Information Lab, our mission is clear: to empower individuals and organizations to harness the power of data. We believe that organizations adept at leveraging data will thrive, and since 2011, we have been assisting clients such as PwC, Coca-Cola, Unilever, Virgin Atlantic, and UBS by specializing in premier data visualization and integration tools - Tableau and Alteryx.As a consultant at The Data School, your experience will far exceed that of a standard training contract. You will earn a competitive salary of £35,000 (increasing to £40,000) annually while learning from some of the world’s leading data experts, including several Tableau Visionaries and Alteryx ACEs. This intensive and immersive four-month training will take place at our outstanding Data School, conveniently located near St. Paul's Cathedral. You will also have the opportunity to apply your new skills with some of the UK's most recognized blue-chip clients through a series of practical placements. Our training encompasses more than just technology. With the guidance of your coaches and the wider team, you will acquire essential skills in data storage, management, and presentation, alongside personal development skills to enhance your confidence as an exceptional consultant. All of this occurs in an environment that can only be described as extraordinary.

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.

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.

Join Our Data & Science OrganizationAt Deliveroo, we pride ourselves on having a premier data science team dedicated to enhancing the quality of decision-making, both human and machine. Our data scientists collaborate across various departments, including product, business, and platform teams, employing techniques such as analysis, experimentation, causal inference, and machine learning. We leverage data to drive better decisions and enhance data literacy throughout the organization.As a Senior Data Scientist, you will be part of a vibrant community that fosters continuous learning through guest lectures, study groups, mentorship programs, and a rigorous technical review process. Our career paths allow data scientists to advance as technical leaders or people managers, depending on their aspirations.We welcome candidates from diverse backgrounds, all united by a commitment to excellence in data science. Our dedicated diversity committee ensures that we celebrate differences and promote inclusivity within our team.Your primary objective will be to maximize business impact in various areas, tackling critical questions such as:Which markets or cities should we expand into next?How can we encourage positive behavior among our riders?What effect do our exclusive restaurant deals have?How can we optimize our compensation policies to ensure customer satisfaction?What trade-offs should we consider between growth and profitability?How should our pricing strategy vary based on distance and market?What is the ideal selection and variety of restaurants in a specific area?How can we enhance our consumer app to better serve grocery shoppers?The work you do will have a tangible and direct influence on the company's bottom line.

About QuantiumQuantium stands as a global frontrunner in data science and artificial intelligence. Founded in Australia in 2002, our diverse team of over 1,200 professionals operates across 14 locations, combining innovative product and consulting services to empower businesses in extracting value from their data and analytics. We collaborate with some of the largest corporations worldwide to create a smarter, more efficient future.Our Quantium Health UK division specializes in delivering cutting-edge AI, analytics, and digital consulting services tailored for clients in Health, Life Sciences, and HealthTech. Our mission is to leverage data's potential to enhance health outcomes for patients and healthcare providers. As a Data Scientist, you will engage with clients to address their specific needs, develop impactful use cases, utilize advanced analytics and machine learning techniques, and spearhead AI product innovations. Join us during this exhilarating phase of growth and work on transformative projects that make a difference.

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.

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

Why Join Faculty?Founded in 2014, Faculty believes that artificial intelligence is the defining technology of our era. We have partnered with over 350 clients globally to revolutionize their operations through human-centered AI. Discover our tangible impacts here.We prioritize innovation over trends, developing and implementing responsible AI solutions that drive significant results. Our expertise spans technical, product, and delivery domains, serving clients in government, finance, retail, energy, life sciences, and defense sectors.As our company and reputation rapidly expand, we seek individuals who possess intellectual curiosity and aim to forge a positive technological legacy.Join us and explore the transformative potential of AI, empowered to realize its most impactful applications.About Our TeamOur Retail and Consumer specialists are committed to assisting clients in an industry undergoing rapid technological advancements and shifting consumer expectations. With over a decade of experience in Applied AI, we merge exceptional technical skills with delivery expertise, empowering businesses to adapt and excel.About the RoleIn the role of Lead Data Scientist, you will take on a crucial, entrepreneurial position as a technical expert who excels in navigating complexity and driving commercial impact. You will set the technical vision and guarantee the effective, scalable delivery of our most challenging, high-stakes projects. This role combines profound machine learning knowledge with strategic oversight, allowing you to define project roadmaps, manage technical risks, and architect dependable solutions. Your mission will be to spur innovation, mentor cross-functional teams, and actively influence our technical standards and long-term client relationships.Your Responsibilities:Establishing the technical direction for intricate, business-critical projects while adeptly managing trade-offs between speed, innovation, and reliability.Designing and executing robust, production-ready technical solutions.

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)