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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.
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faculty
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 framew…
degree6
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.
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...
Why Join Faculty?Founded in 2014, Faculty believes that artificial intelligence (AI) will shape the future of technology. With over 350 global clients, we have consistently delivered transformative AI solutions that engage human-centric approaches. Explore our impact here.We prioritize innovation over trends, focusing on responsible AI that drives significant results. Our team combines unmatched technical, product, and delivery expertise, serving clients across various sectors including government, finance, retail, energy, life sciences, and defense.As our business and reputation flourish, we seek individuals who share our passion for intellectual exploration and a commitment to leaving a lasting technological legacy.Join us in harnessing AI’s potential to create powerful solutions that will define the future.About Our TeamIn our Professional and Financial Services division, we leverage over a decade of applied AI experience to guide our clients through a rapidly evolving landscape.We design and implement AI solutions that enhance operational efficiency, improve customer experiences, and unlock commercial opportunities in uncertain markets. Operating within a highly regulated environment, we embrace the potential for meaningful innovation while setting the benchmark for technical excellence and secure deployment.About the RoleAs a Principal Data Scientist at Faculty, you will be a technical authority and domain expert, responsible for leading the delivery of intricate, high-impact projects for our key clients. You will establish the technical vision for the data science team while mentoring and developing our data scientists to ensure they remain at the forefront of the industry.Your ResponsibilitiesActing as a technical expert on machine learning, generative AI, and other advanced data science methodologies to deliver innovative solutions.Driving the execution of high-stakes projects while ensuring the highest standards of quality and technical excellence.
About Valtech Valtech partners with leading brands worldwide to shape the future of experience innovation. The company supports employee growth through international career paths, values-driven culture, and opportunities to make a real impact on how industries evolve. What Sets Valtech Apart Innovative projects and industry advancements Core values: share, care, and dare Culture that encourages creativity, diversity, and autonomy Global teams that collaborate across borders Role Overview: Lead Data Scientist The Lead Data Scientist at Valtech applies deep experience in data science to solve business problems. The role involves both traditional machine learning and advanced AI, with a focus on large language models (LLMs) and agentic AI. Expect to work hands-on with modeling, experiment with new approaches, and explain findings clearly to colleagues who may not have technical backgrounds. This position suits someone with a practical mindset, strong problem-solving skills, and a genuine curiosity about new technologies. The Lead Data Scientist helps spot opportunities and delivers solutions that make a difference. Location London
Charlotte Tilbury Beauty
About Charlotte Tilbury Beauty Charlotte Tilbury Beauty was founded in 2013 by British makeup artist Charlotte Tilbury MBE. The brand has made makeup more accessible and giftable, reaching customers in 50 markets. With over 2,300 employees, the company continues to grow quickly and is recognized as a leader in the beauty industry. Charlotte Tilbury Beauty combines innovative retail strategies and technology to drive growth. The company values creative thinking, collaboration, and a willingness to tackle challenges. Team members are encouraged to help shape the company’s ambitious future. Role Overview: Data Scientist Based in London, this Data Scientist role covers the full data science workflow, from scoping projects to deploying models and monitoring their performance. The team applies data, machine learning, and AI to improve decision-making and deliver personalized customer experiences. Projects range from optimizing marketing spend to content personalization and large language model integration. Key Responsibilities Source and process data using both domain-specific and general approaches Analyze data to support ad-hoc business needs Run proof-of-concept projects to test feasibility and value Build and deploy machine learning models for production use Monitor model performance to maintain accuracy over time Lead integration of large language models (LLMs) to drive innovation and efficiency Manage relationships with stakeholders, balancing ambition with practical outcomes Develop and share insights with teams across the business Work closely with other data scientists, analysts, and engineers Collaboration This role works alongside Data and Tech teams across the business. Requirements Bachelor's or Master's degree in Computer Science, Data Science, or a related field 3-5 years of experience in data science or a similar position
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, Inc.
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)
Why Join Faculty?Founded in 2014, Faculty has established itself as a leader in harnessing the transformative power of AI, collaborating with over 350 global clients to enhance their performance through human-centric AI solutions. Discover our real-world impact here.We prioritize innovation over hype cycles, focusing on deploying responsible AI that genuinely makes a difference. Our extensive technical, product, and implementation expertise serves clients across diverse sectors including government, finance, retail, energy, life sciences, and defense.As our business continues to grow rapidly, we seek individuals who share our intellectual curiosity and commitment to leveraging technology for a positive legacy.Join us in shaping the future of AI—empower yourself to explore its most impactful applications and bring them to life.About Our TeamThe Faculty Frontier TM product embodies our ambitious vision to create an enterprise-grade platform that integrates decision intelligence with AI Agents, optimizing critical processes for large-scale organizations. You will tackle complex, high-stakes challenges, particularly in healthcare and life sciences.About This RoleAs the Lead Data Scientist, you will define the technical direction of our flagship Frontier product. Leading project teams, you will design and develop custom computational twins—AI-powered digital twins that revolutionize client decision-making. This position requires a strong technical vision in data science, fostering direct client partnerships, and mentoring emerging data science talent. Seize this pivotal opportunity to spearhead innovative, high-impact AI implementations.Your Responsibilities:Direct the technical execution of Frontier deployments, from initial discovery to production integration of computational twins.Oversee the comprehensive data science strategy, including the design and application of optimal methodologies ranging from exploratory data analysis to deep learning.Collaborate with the commercial team to ensure alignment on project objectives and client expectations.
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 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 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.
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.
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 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.
Why Join Faculty?Founded in 2014, Faculty is at the forefront of AI innovation, dedicated to transforming performance through human-centric AI solutions. With a portfolio of over 350 global clients, we pride ourselves on delivering impactful, responsible AI technologies across various sectors including government, finance, retail, energy, life sciences, and defense. Discover our real-world impact here.We prioritize innovation over hype, focusing on responsible AI that makes a measurable difference. Our team's extensive expertise in technology, product development, and project delivery sets us apart as leaders in practical AI.As our business grows rapidly, we seek individuals who share our intellectual curiosity and ambition to create a positive legacy through technology.Join us to explore the transformative power of AI and be part of a team that empowers you to realize its most potent applications.About the TeamOur Defence team specializes in developing human-centered AI solutions that enhance national security and maintain our global competitive edge. Collaborating closely with clients, we implement ethical and cutting-edge AI solutions in high-stakes scenarios, ensuring the balance of global powers that safeguards our freedom.Due to the sensitive nature of our work, candidates must be eligible for UK Security Clearance (SC) and be prepared to work on-site with clients 2 to 4 days a week, which may involve travel throughout the UK. When not on client sites, you will have the flexibility to work from our London office or remotely within the UK.About the RoleAs a Senior Data Scientist, you will lead pivotal AI projects and influence the technical direction of tailored solutions. This role blends hands-on technical expertise with essential team leadership responsibilities.You will define data science methodologies, design robust software architectures, mentor junior team members, and ensure rigorous project delivery while fostering strong client relationships that reinforce our reputation in measurable AI.
Join our dynamic team at 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.
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.
At Wayve, we are dedicated to fostering a diverse and respectful culture that is inclusive of all individuals, valuing their unique skills and perspectives, irrespective of sex, race, religion, belief, ethnic or national origin, disability, age, citizenship, marital status, sexual orientation, gender identity, veteran status, pregnancy or related conditions (including breastfeeding), or any other protected characteristic.About UsEstablished in 2017, Wayve stands at the forefront of Embodied AI technology development. Our cutting-edge AI software and foundational models empower vehicles to perceive, comprehend, and navigate intricate environments, significantly enhancing the usability and safety of automated driving systems.We envision a future where autonomy drives progress. Our intelligent, mapless, and hardware-agnostic AI solutions are tailored for automakers, facilitating the shift from assisted to fully automated driving. In our dynamic setting, we thrive on tackling significant challenges—embracing uncertainty and striving for innovative solutions. We pursue excellence with humility, continuously evolving as we chart the course for a smarter, safer future.At Wayve, your contributions are valued. We celebrate diversity, welcome new perspectives, and cultivate an inclusive work environment where we support each other to drive impactful results.Join Wayve and make it the defining experience of your career!As a Data Scientist in the Experimentation and Product group, your role will be pivotal in generating robust, actionable insights that guide our product, data, and research teams in prioritizing current efforts and identifying future opportunities.Rather than relying on opaque models to enhance machine learning performance, our data scientists focus on employing experimental and causal inference methods to produce statistically sound and interpretable findings. This presents a thrilling opportunity to pioneer data science methodologies in the evolving landscape of automated vehicles.In this position, you will:Develop frameworks that effectively synthesize our intricate video and simulation data, facilitating analytics-driven strategies from individual product teams to the company level.Define and refine the performance metrics that Wayve should emphasize to accurately measure success in the evolving AV landscape.Innovate and implement experimental techniques to enhance signal-to-noise ratios and accelerate feedback cycles.
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faculty
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 framew…
degree6
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.
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...
Why Join Faculty?Founded in 2014, Faculty believes that artificial intelligence (AI) will shape the future of technology. With over 350 global clients, we have consistently delivered transformative AI solutions that engage human-centric approaches. Explore our impact here.We prioritize innovation over trends, focusing on responsible AI that drives significant results. Our team combines unmatched technical, product, and delivery expertise, serving clients across various sectors including government, finance, retail, energy, life sciences, and defense.As our business and reputation flourish, we seek individuals who share our passion for intellectual exploration and a commitment to leaving a lasting technological legacy.Join us in harnessing AI’s potential to create powerful solutions that will define the future.About Our TeamIn our Professional and Financial Services division, we leverage over a decade of applied AI experience to guide our clients through a rapidly evolving landscape.We design and implement AI solutions that enhance operational efficiency, improve customer experiences, and unlock commercial opportunities in uncertain markets. Operating within a highly regulated environment, we embrace the potential for meaningful innovation while setting the benchmark for technical excellence and secure deployment.About the RoleAs a Principal Data Scientist at Faculty, you will be a technical authority and domain expert, responsible for leading the delivery of intricate, high-impact projects for our key clients. You will establish the technical vision for the data science team while mentoring and developing our data scientists to ensure they remain at the forefront of the industry.Your ResponsibilitiesActing as a technical expert on machine learning, generative AI, and other advanced data science methodologies to deliver innovative solutions.Driving the execution of high-stakes projects while ensuring the highest standards of quality and technical excellence.
About Valtech Valtech partners with leading brands worldwide to shape the future of experience innovation. The company supports employee growth through international career paths, values-driven culture, and opportunities to make a real impact on how industries evolve. What Sets Valtech Apart Innovative projects and industry advancements Core values: share, care, and dare Culture that encourages creativity, diversity, and autonomy Global teams that collaborate across borders Role Overview: Lead Data Scientist The Lead Data Scientist at Valtech applies deep experience in data science to solve business problems. The role involves both traditional machine learning and advanced AI, with a focus on large language models (LLMs) and agentic AI. Expect to work hands-on with modeling, experiment with new approaches, and explain findings clearly to colleagues who may not have technical backgrounds. This position suits someone with a practical mindset, strong problem-solving skills, and a genuine curiosity about new technologies. The Lead Data Scientist helps spot opportunities and delivers solutions that make a difference. Location London
Charlotte Tilbury Beauty
About Charlotte Tilbury Beauty Charlotte Tilbury Beauty was founded in 2013 by British makeup artist Charlotte Tilbury MBE. The brand has made makeup more accessible and giftable, reaching customers in 50 markets. With over 2,300 employees, the company continues to grow quickly and is recognized as a leader in the beauty industry. Charlotte Tilbury Beauty combines innovative retail strategies and technology to drive growth. The company values creative thinking, collaboration, and a willingness to tackle challenges. Team members are encouraged to help shape the company’s ambitious future. Role Overview: Data Scientist Based in London, this Data Scientist role covers the full data science workflow, from scoping projects to deploying models and monitoring their performance. The team applies data, machine learning, and AI to improve decision-making and deliver personalized customer experiences. Projects range from optimizing marketing spend to content personalization and large language model integration. Key Responsibilities Source and process data using both domain-specific and general approaches Analyze data to support ad-hoc business needs Run proof-of-concept projects to test feasibility and value Build and deploy machine learning models for production use Monitor model performance to maintain accuracy over time Lead integration of large language models (LLMs) to drive innovation and efficiency Manage relationships with stakeholders, balancing ambition with practical outcomes Develop and share insights with teams across the business Work closely with other data scientists, analysts, and engineers Collaboration This role works alongside Data and Tech teams across the business. Requirements Bachelor's or Master's degree in Computer Science, Data Science, or a related field 3-5 years of experience in data science or a similar position
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, Inc.
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)
Why Join Faculty?Founded in 2014, Faculty has established itself as a leader in harnessing the transformative power of AI, collaborating with over 350 global clients to enhance their performance through human-centric AI solutions. Discover our real-world impact here.We prioritize innovation over hype cycles, focusing on deploying responsible AI that genuinely makes a difference. Our extensive technical, product, and implementation expertise serves clients across diverse sectors including government, finance, retail, energy, life sciences, and defense.As our business continues to grow rapidly, we seek individuals who share our intellectual curiosity and commitment to leveraging technology for a positive legacy.Join us in shaping the future of AI—empower yourself to explore its most impactful applications and bring them to life.About Our TeamThe Faculty Frontier TM product embodies our ambitious vision to create an enterprise-grade platform that integrates decision intelligence with AI Agents, optimizing critical processes for large-scale organizations. You will tackle complex, high-stakes challenges, particularly in healthcare and life sciences.About This RoleAs the Lead Data Scientist, you will define the technical direction of our flagship Frontier product. Leading project teams, you will design and develop custom computational twins—AI-powered digital twins that revolutionize client decision-making. This position requires a strong technical vision in data science, fostering direct client partnerships, and mentoring emerging data science talent. Seize this pivotal opportunity to spearhead innovative, high-impact AI implementations.Your Responsibilities:Direct the technical execution of Frontier deployments, from initial discovery to production integration of computational twins.Oversee the comprehensive data science strategy, including the design and application of optimal methodologies ranging from exploratory data analysis to deep learning.Collaborate with the commercial team to ensure alignment on project objectives and client expectations.
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 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 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.
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.
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 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.
Why Join Faculty?Founded in 2014, Faculty is at the forefront of AI innovation, dedicated to transforming performance through human-centric AI solutions. With a portfolio of over 350 global clients, we pride ourselves on delivering impactful, responsible AI technologies across various sectors including government, finance, retail, energy, life sciences, and defense. Discover our real-world impact here.We prioritize innovation over hype, focusing on responsible AI that makes a measurable difference. Our team's extensive expertise in technology, product development, and project delivery sets us apart as leaders in practical AI.As our business grows rapidly, we seek individuals who share our intellectual curiosity and ambition to create a positive legacy through technology.Join us to explore the transformative power of AI and be part of a team that empowers you to realize its most potent applications.About the TeamOur Defence team specializes in developing human-centered AI solutions that enhance national security and maintain our global competitive edge. Collaborating closely with clients, we implement ethical and cutting-edge AI solutions in high-stakes scenarios, ensuring the balance of global powers that safeguards our freedom.Due to the sensitive nature of our work, candidates must be eligible for UK Security Clearance (SC) and be prepared to work on-site with clients 2 to 4 days a week, which may involve travel throughout the UK. When not on client sites, you will have the flexibility to work from our London office or remotely within the UK.About the RoleAs a Senior Data Scientist, you will lead pivotal AI projects and influence the technical direction of tailored solutions. This role blends hands-on technical expertise with essential team leadership responsibilities.You will define data science methodologies, design robust software architectures, mentor junior team members, and ensure rigorous project delivery while fostering strong client relationships that reinforce our reputation in measurable AI.
Join our dynamic team at 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.
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.
At Wayve, we are dedicated to fostering a diverse and respectful culture that is inclusive of all individuals, valuing their unique skills and perspectives, irrespective of sex, race, religion, belief, ethnic or national origin, disability, age, citizenship, marital status, sexual orientation, gender identity, veteran status, pregnancy or related conditions (including breastfeeding), or any other protected characteristic.About UsEstablished in 2017, Wayve stands at the forefront of Embodied AI technology development. Our cutting-edge AI software and foundational models empower vehicles to perceive, comprehend, and navigate intricate environments, significantly enhancing the usability and safety of automated driving systems.We envision a future where autonomy drives progress. Our intelligent, mapless, and hardware-agnostic AI solutions are tailored for automakers, facilitating the shift from assisted to fully automated driving. In our dynamic setting, we thrive on tackling significant challenges—embracing uncertainty and striving for innovative solutions. We pursue excellence with humility, continuously evolving as we chart the course for a smarter, safer future.At Wayve, your contributions are valued. We celebrate diversity, welcome new perspectives, and cultivate an inclusive work environment where we support each other to drive impactful results.Join Wayve and make it the defining experience of your career!As a Data Scientist in the Experimentation and Product group, your role will be pivotal in generating robust, actionable insights that guide our product, data, and research teams in prioritizing current efforts and identifying future opportunities.Rather than relying on opaque models to enhance machine learning performance, our data scientists focus on employing experimental and causal inference methods to produce statistically sound and interpretable findings. This presents a thrilling opportunity to pioneer data science methodologies in the evolving landscape of automated vehicles.In this position, you will:Develop frameworks that effectively synthesize our intricate video and simulation data, facilitating analytics-driven strategies from individual product teams to the company level.Define and refine the performance metrics that Wayve should emphasize to accurately measure success in the evolving AV landscape.Innovate and implement experimental techniques to enhance signal-to-noise ratios and accelerate feedback cycles.
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