AI/Data Scientist

Join Our Innovative Team at MAGIC AIMAGIC AI is revolutionizing the in-home fitness industry with our state-of-the-art health coaching platform that leverages computer vision, connected weights, and advanced cameras to deliver customized training sessions guided by elite athletes. Our innovative solution has garnered significant attention, being featured in …

Join Experian as a Data Scientist specializing in Generative AI and AI Engineering. In this role, you will leverage cutting-edge technology to analyze complex data sets, develop innovative AI models, and contribute to transformative projects that drive business success. Your expertise will be essential in shaping the future of data-driven insights.

At Swap, we are revolutionizing the landscape of modern agentic commerce through our innovative AI-native platform. Our technology seamlessly integrates backend operations with an advanced storefront experience, empowering brands to sell anything, anywhere.Designed for forward-thinking brands, Swap centralizes global operations, enhances intelligent workflows, and enables margin-protecting decisions utilizing real-time data. Our comprehensive product suite encompasses cross-border logistics, tax management, returns processing, demand planning, and our pioneering agentic storefront, ensuring merchants have full transparency and the confidence to act decisively.We are committed to fostering a culture that prioritizes clarity, creativity, and shared ownership as we redefine the dynamics of global commerce.About the RoleWe are seeking an extraordinary individual who transcends traditional data science. Our ideal candidate embodies: • A blend of human intuition and machine intelligence. • The ability to run parallel code paths and deploy agents to explore solutions autonomously.Join our Agentic squad, collaborating with five other AI and data science experts to refine, scale, and innovate the intelligence layer that powers our agentic storefront. This senior-level, high-agency generalist role is for someone who can navigate models, agents, experiments, and product decisions with agility and speed in a startup setting.Key ResponsibilitiesWork in tandem with Product, Engineering, and the Agentic team to enhance AI-driven features throughout the entire commerce journey.Design and refine recommendation and personalization systems leveraging behavioral and transactional data.Advance conversational agents, multi-agent workflows, and tool integrations.Iterate on virtual try-on and vision systems using prompt engineering, fine-tuning, and model chaining.Rapidly prototype new AI functionalities and transition them into production-grade systems.Establish and enhance experimentation frameworks, including A/B testing, evaluation pipelines, and benchmarking.Drive improvements in conversion, retention, and operational efficiency through applied machine learning.Identify automation opportunities and design agent-driven internal tools.

Join Funding Circle as a Senior Data Scientist specializing in Generative AI. In this pivotal role, you will leverage your expertise in machine learning and data analysis to drive innovative solutions and enhance our data-driven decision-making processes. Collaborate with cross-functional teams to develop models that transform complex data into actionable insights.

Cint is seeking a Senior Data Scientist in AI & Synthetic Intelligence to join the London team. This position focuses on applying advanced data analytics and machine learning to support business goals and improve decision-making. Role overview This role centers on developing predictive models and algorithms that help solve complex business problems. Collaboration with colleagues across different departments is a key part of daily work, ensuring solutions are practical and impactful. What you will do Use advanced analytics and machine learning to create models that inform business strategy Work with cross-functional teams to understand challenges and design effective solutions Contribute to the ongoing development of data-driven approaches at Cint Impact Your work will help shape how Cint uses data to innovate and make informed decisions, supporting the company’s long-term strategy.

Join Our Team as a Senior Data Scientist - Conversational & Agentic AILocation: London (Hybrid)About SwapAt Swap, we are at the forefront of revolutionizing agentic commerce with our innovative AI-native platform. We connect backend operations seamlessly with a modern storefront experience.Our platform is tailored for brands eager to expand their reach, enabling them to sell anything, anywhere. Swap consolidates global operations, enhances intelligent workflows, and empowers businesses to make informed decisions with real-time data. Our extensive product range includes solutions for cross-border transactions, tax management, returns, demand planning, and next-generation agentic storefronts, providing merchants with full transparency and confidence in their operations.We foster a company culture that values clarity, creativity, and shared ownership as we redefine the landscape of global commerce.About the RoleWe are looking for a Senior Data Scientist to spearhead the development and evaluation of intelligent autonomous AI agents focused on B2B analytics and operational workflows. You will be responsible for engineering sophisticated systems that enable agents to autonomously analyze data, generate actionable insights, execute operational tasks, and orchestrate complex business processes. Your role will involve working across analytical and operational workflows, designing multi-agent ecosystems, establishing evaluation frameworks, and ensuring the reliability of complex agentic systems in production.Key ResponsibilitiesAgentic System Design & Multi-Agent Architecture: Architect AI agent ecosystems capable of autonomously managing analytical and operational workflows, including data exploration, insight generation, process automation, and cross-functional coordination.Analytical & Operational Workflow Design: Create agent systems that proficiently navigate data discovery, hypothesis testing, insight delivery, and operational task execution, effectively managing transitions between specialized agents (SQL, visualization, statistical analysis, workflow automation).Prompt Engineering & Agent Optimization: Craft and refine prompts for autonomous agents, incorporating few-shot learning, chain-of-thought reasoning, tool usage, and structured output generation for multi-step analytical and operational workflows.Comprehensive Evaluation Frameworks: Develop evaluation systems that measure analytical accuracy, operational task success, agent reliability, and coordination effectiveness. Create automated testing suites, benchmark datasets, and continuous production monitoring protocols.Agent Performance Analysis: Conduct thorough analyses of agent performance to drive system improvements and enhance operational efficiency.

Role overview Wise seeks a Senior AI Data Scientist in London to focus on Anti-Money Laundering (AML) solutions. The position involves building analytics and machine learning models aimed at identifying and preventing fraudulent transactions. What you will do Design and refine machine learning models that enhance AML initiatives Use data analytics to uncover patterns associated with financial crime Work closely with compliance, engineering, and operations teams to deliver AI-driven tools Contribute to process improvements that reinforce Wise’s compliance and daily operations Collaboration This role is part of the data science team and involves working alongside colleagues from various backgrounds. The goal is to keep Wise’s AML solutions effective and responsive to new challenges.

Intercom is a pioneering AI Customer Service company dedicated to enhancing the customer experience for businesses worldwide.Our flagship AI agent, Fin, represents the pinnacle of customer service AI technology. It empowers businesses to offer seamless, 24/7 customer service, significantly improving their customer engagement. When integrated with our Helpdesk, Fin evolves into the Intercom Customer Service Suite, providing AI-augmented support for complex inquiries that necessitate human intervention.Since our establishment in 2011, we have earned the trust of nearly 30,000 businesses globally, setting the benchmark for unparalleled customer service. Our core values drive us to innovate, act with speed and intensity, and deliver exceptional value to our clients.What is the opportunity?Join our Research, Analytics & Data Science (RAD) team, where we transform insights into actionable strategies. We analyze customer, product, and business data, translating them into tools that integrate seamlessly into go-to-market (GTM) workflows.The advent of AI has ushered in a new era of internal tools for our GTM teams. We are progressing from traditional dashboards to sophisticated workflows powered by large language models (LLMs) and AI agents that are capable of autonomously conducting account research, summarizing previous interactions, drafting tailored outreach, identifying renewal risks, and generating reports, thereby allowing Sales and Success teams to concentrate on high-impact conversations.The RAD team collaborates closely with GTM Systems to identify challenges, devise solutions, and evaluate their impact from prototype through to production.This role demands a high level of ownership from someone who thrives in uncertain environments, is passionate about solving intricate real-world challenges, and gains satisfaction from seeing their contributions lead to measurable business results.What will I be doing?Design, evaluate, and deploy AI-powered internal tools for GTM applications, including account research and summaries, recommendations for next steps, renewal likelihood assessments, pipeline risk identification, and post-call follow-ups.Manage the entire lifecycle: Take ownership from problem identification and data modeling to the development of production-ready tools, including creating Python backends and React frontends.Rapid prototyping and deployment: Collaborate with users to build quickly, then iterate and enhance for maximum impact.Measure for success: Define success metrics based on actual usage and quantifiable business outcomes.

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.

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!

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.

At Wayve, we are dedicated to fostering a diverse, equitable, and respectful culture that welcomes individuals from all backgrounds, valuing their distinct skills and viewpoints, irrespective of sex, race, religion, ethnicity, disability, age, citizenship, marital status, sexual orientation, gender identity, veteran status, or any other characteristic protected by law.About UsFounded 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 complex environments, significantly enhancing the usability and safety of automated driving systems.We envision a future where autonomy drives global progress. Our intelligent, mapless, and hardware-agnostic AI solutions are crafted for automakers, propelling the shift from assisted to fully automated driving. In our dynamic environment, we thrive on tackling big challenges and embrace uncertainty to unlock innovative solutions. Our commitment to high standards and continuous learning fuels our mission to create a smarter, safer future.Your contributions at Wayve are valued. We prioritize diversity, welcome new perspectives, and cultivate an inclusive work atmosphere where we support each other in making an impact.Join Wayve and define your career experience!As a Data Scientist in the Experimentation and Product team, your primary focus will be generating robust, actionable insights that guide our product, data, and research teams in prioritizing current efforts and identifying future opportunities.Instead of relying on black-box models to optimize machine learning performance, you'll employ experimental and causal inference methods to deliver statistically sound and highly interpretable findings. This role presents a unique opportunity to lead data science methodologies in a complex and innovative area within autonomous vehicles (AV).Your responsibilities will include:Developing frameworks to effectively synthesize complex video and simulation data, facilitating analytics-driven strategies from individual product teams to the company level.Formulating and refining the performance metrics essential for measuring success in the evolving AV landscape.Introducing and implementing innovative experimental techniques aimed at improving the signal-to-noise ratio and expediting feedback cycles.

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.

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.

Why Join Faculty?Founded in 2014, Faculty has consistently believed in the transformative power of AI as a pivotal technology of our era. With a robust portfolio of over 350 global clients, we have successfully driven significant performance improvements through our human-centric AI solutions. Discover the tangible impact we've made here.We prioritize innovation over fleeting trends, focusing on the responsible development and deployment of AI that truly delivers results. Our expertise spans technical, product, and delivery domains, enabling us to support clients across diverse sectors including government, finance, retail, energy, life sciences, and defense.As our reputation and business continue to grow, we seek individuals who share our intellectual curiosity and commitment to leveraging technology for a positive legacy.Join us at Faculty, where you will have the autonomy to explore and implement the most impactful applications of AI.About Our TeamWithin our Professional and Financial Services unit, we leverage over a decade of applied AI experience to assist our clients in navigating a rapidly evolving landscape. We design and integrate AI solutions that enhance efficiency, improve customer experience, and uncover business opportunities in uncertain markets. Operating within a highly regulated environment, we are dedicated to setting the benchmark for technical excellence and safe deployment.#LI-PRIOAbout the RoleAs a Lead Data Scientist, you will play a crucial and entrepreneurial role, acting as the technical authority who excels at navigating complexity and generating commercial impact. You will define the technical strategy and ensure the high-quality, scalable execution of our most demanding, high-impact projects.This role requires a blend of profound machine learning expertise and strategic oversight to outline project roadmaps, manage technical risks, and design robust solutions. You will focus on fostering innovation, mentoring cross-functional teams, and actively influencing both our technical frameworks and enduring client relationships.

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.

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)

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