Agentic Data Alchemist (AI Data Scientist)

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.

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.

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 Selfridges, highlighted on Good Morning Britain, and recognized in Fast Company's list of the World's Most Innovative Companies for 2024. Despite being a small team, we achieved remarkable revenue growth in our inaugural financial year.As a pioneer in the field, MAGIC AI provides users the unique experience to engage in workouts before an intelligent hologram mirror. Our proprietary computer vision software facilitates real-time form correction, rep counting, and live feedback, resulting in a personalized workout journey. Collaborations with top athletes allow us to create exclusive training content across various disciplines including sports, strength training, yoga, and dance, offering premium coaching without the associated costs.Backed by significant venture capital from leading multi-billion-dollar firms, our team includes accomplished professionals with successful startup exits, positioning MAGIC AI as a formidable player in the health tech space.About the PositionWe invite you to join our Data Science team, focusing on our advanced ReflectAI® tracking technology. This role reports to our CTO and involves collaboration with a talented group of professionals, all of whom have significant experience in the tech industry. This is a fulfilling opportunity to contribute to innovative projects.Your ResponsibilitiesEngage in close collaboration with fellow Data Scientists and the Engineering Team to enhance our ReflectAI® technology.Utilize MediaPipe and MoveNet for pose estimation, analyzing the coordinates provided by these libraries.Create algorithms to accurately compute metrics such as total reps, rep progress, rep speed, and form quality through coordination analysis.Develop and train new AI models while optimizing them for specific hardware accelerators.Apply statistical analysis techniques to reduce inaccuracies in complex occlusion scenarios.Work alongside the Product team to ensure that technical and product requirements are met effectively.Collaborate with Quality Assurance to troubleshoot and minimize bugs in staging and production releases.Facilitate the seamless and regular release of updates for our software.

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.

Dataiku offers a unified platform for building, deploying, and managing AI systems at enterprise scale. Teams use this platform to design analytics, develop machine learning models, and manage AI agents within a single environment. Dataiku connects with many data sources, cloud services, and AI tools, supporting collaboration and centralized oversight. Companies around the world use Dataiku to achieve measurable results with AI. Learn more about Dataiku on the blog, LinkedIn, X, and YouTube. Role overview The Senior Generative AI Engineer joins the Enterprise Data & Analytics (ED&A) team in London. This position is hands-on and centers on building advanced agentic AI systems that help improve internal operations at Dataiku. What you will do Develop and implement generative AI solutions for internal business needs Collaborate with business units to understand challenges and turn them into practical software applications Lead projects from requirements gathering through deployment Oversee the entire lifecycle of AI system development within the ED&A team

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.

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.

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.

Role Overview Pipedrive is looking for a Lead Principal AI/ML Scientist & Engineer in London, UK. This role focuses on leading advanced projects in artificial intelligence and machine learning to shape the future of our customer relationship management platform. What You Will Do Guide technical direction and hands-on development for AI and ML initiatives within the product. Collaborate with a skilled team to design and implement new features that improve user experience. Apply research and engineering expertise to deliver solutions that support business growth.

About Xaira TherapeuticsXaira Therapeutics is a pioneering biotech startup dedicated to revolutionizing drug discovery and development through the power of artificial intelligence (AI). Our mission is to lead the advancement of generative AI models designed specifically for creating innovative protein and antibody therapeutics. This allows us to tackle previously challenging molecular targets and develop effective medicines. We are also at the forefront of developing foundational models for biology and disease, facilitating improved target identification and patient stratification. Through our cutting-edge technologies, we aim to consistently discover novel therapies and enhance the success rates of drug development. Xaira has its headquarters in the vibrant San Francisco Bay Area, Seattle, and London.Position OverviewWe are on the lookout for dynamic and passionate candidates to join our innovative team as an AI Scientist! In this role, you will leverage your experience in developing and implementing advanced deep learning methodologies, showcasing a proven record of AI innovation through publications in the fields of Artificial Intelligence or Machine Learning, or through significant interdisciplinary projects. As a vital member of our core AI team, composed of exceptionally talented and creative individuals, you will spearhead exciting projects aimed at advancing state-of-the-art AI models in biology that influence drug discovery and clinical development. This role also provides the opportunity to collaborate with interdisciplinary experts in world-class biology, drug discovery, and clinical domains. Xaira values diversity and encourages candidates from all backgrounds and experiences to apply, as we believe that teams thrive when varied perspectives are included.The position is available in the following locations: San Francisco Bay Area, Seattle, and London.

Join a Transformative CompanyAt Palantir, we create cutting-edge software that empowers organizations to make data-driven decisions and optimize operations. Our innovative platforms enable partners to develop life-saving therapies, anticipate supply chain challenges, locate missing individuals, and much more.Your OpportunityAs a Forward Deployed AI Engineer, you will collaborate directly with clients to lead the Gen AI strategy and execution. Your role will involve crafting comprehensive end-to-end workflows, deploying them in production, and addressing complex real-world challenges at scale. You will play a key role in enriching the Palantir AIP product suite with insights gained from practical applications.Be at the forefront of expanding Palantir's reach and strategy into new markets and problem areas unlocked by Gen AI.Key ResponsibilitiesIn this position, you will function similarly to a hands-on CTO in an AI startup: leading small teams to deliver high-impact projects for our clients. Your daily tasks may include developing large-scale LLM workflows, engaging with customers to grasp their needs and shape their AI strategies, and most importantly, implementing solutions that drive tangible results in our partners' organizations.If you aspire to be an entrepreneur or a leader in Applied AI, Palantir is the ideal environment—surrounded by exceptional colleagues—to grow and refine your skills!

Application Deadline: We are actively interviewing candidates and aim to fill this position promptly with the right individual.ABOUT THE ROLEAt Apollo Research, we conduct evaluations that meticulously assess the risks associated with advanced AI systems. Collaborating with leading laboratories such as OpenAI, Anthropic, and Google DeepMind, you will have the unique opportunity to engage with cutting-edge AI models ahead of their public release. The ideal candidate possesses a passion for rigorously testing state-of-the-art AI technologies and excels in creating and automating efficient evaluation pipelines.YOUR RESPONSIBILITIES WILL INCLUDE- Conducting pre-deployment evaluation campaigns on the world's most advanced AI systems. Our partnerships with various labs provide access to a wide range of models that no single lab can offer, allowing you to be among the first to engage with new models.- Exploring AI cognition by analyzing extensive model transcripts to identify novel behavioral patterns that have yet to be documented. These insights can be both surprising and enlightening, including phenomena like non-standard language and reward-seeking reasoning as discussed in our anti-scheming paper.- Developing new evaluations for frontier risks, creating innovative test environments, and scaling these across multiple scenarios.- Collaborating with leading AI developers to share your insights, receive feedback, and ensure your evaluations influence the deployment strategies of the most advanced AI systems.- Optimizing and automating the evaluation pipeline. We utilize automation in building, executing, and analyzing evaluations. As agent capabilities evolve rapidly, you will have the autonomy to reshape the pipeline to keep pace with these advancements.KEY REQUIREMENTS

At Coram AI, we are revolutionizing video security in today's digital landscape. Our innovative cloud-native platform leverages cutting-edge computer vision and artificial intelligence to empower businesses with enhanced safety, informed decision-making, and rapid response capabilities. Experience real-time alerts, effortless clip sharing, and comprehensive visibility across multiple sites.Joining our dynamic, agile team means embracing clarity, excellence, and impactful contributions. Every team member has a voice, delivers significant work, and plays a vital role in shaping how AI can foster a safer and more interconnected world.In this role, you will be part of a pioneering team responsible for managing a sophisticated infrastructure that transcends conventional cloud setups. Beyond our robust AWS and Kubernetes configurations, we also oversee a vast array of IoT devices. We are in search of a skilled engineer who will play a crucial role in developing and maintaining our edge and cloud stack that supports our IoT product offerings, focusing on both infrastructure and the bespoke software we utilize.You will tackle intriguing challenges at the confluence of user experience, machine learning, and infrastructure, while committing to excellence, continuous learning, and delivering exceptional products in a fast-paced startup environment.

Why join Faculty?Founded in 2014, Faculty is on a mission to harness the transformative power of AI, believing it to be the most pivotal technology of our era. With a diverse portfolio of over 350 global clients, we have consistently driven performance improvements through human-centric AI solutions. Discover our tangible impacts here.We focus on responsible AI development rather than chasing trends. Our team excels in innovating, building, and deploying AI solutions that truly matter. We offer unmatched expertise in technology, product development, and service delivery across various sectors including government, finance, retail, energy, life sciences, and defense.As our reputation grows, so does our commitment to finding individuals who share our passion for intellectual curiosity and the ambition to create a positive legacy through technology.AI defines this epoch; join us in exploring its most impactful applications and turning them into reality.About Our TeamOur dedicated team at Faculty engages in vital red teaming and creates evaluations for misuse capabilities in critical domains such as CBRN, cybersecurity, and international security. Our contributions have been recognized, notably in OpenAI's system card for o1.We are committed to conducting foundational research on mitigation strategies, sharing our findings through peer-reviewed conferences, and with national security institutions. Furthermore, we design evaluations for model developers focusing on safety and societal impacts of advanced AI models, showcasing our extensive expertise in the safety domain.About The RoleAs the Principal Research Scientist for AI Safety, you will lead Faculty's dynamic research team, influencing the future of safe AI systems. Your role will encompass overseeing the scientific research agenda centered on large language models and other significant systems. You will guide fellow researchers, spearhead external publications, and align your efforts with Faculty’s mission to develop trustworthy AI, allowing you to make a substantial impact in this fast-evolving field.

Join Infopro Digital as a Data & AI Engineer and play a vital role in our software development team. This permanent position supports our expanding Data & Benchmarking team, mainly focusing on Risk.net while occasionally collaborating with other brands.Infopro Digital is a leading B2B group specializing in information and technology, with a presence in 20 countries and a diverse workforce of 4,000 employees spanning 79 nationalities.Your primary responsibilities will include building, maintaining, and enhancing our data pipelines, datasets, and tools utilized by editorial, research, and product teams. You will be instrumental in collecting, processing, and managing data from various sources, including public, internal, and third-party.This role involves designing and optimizing data workflows, developing scripts for data ingestion and transformation, and assisting in the storage and management of structured datasets across the organization.Collaboration is key in this position, as you will work closely with developers, analysts, and editorial teams to ensure data accessibility, reliability, and structure for analysis, reporting, and product development.Why Join Our Software Team?We offer numerous opportunities for professional growth and the chance to work on exciting projects. Collaborate with a team of experienced developers, testers, architects, and system administrators, and gain exposure to a variety of technologies and practices.Our commitment to stable employment and a robust project pipeline means many ongoing initiatives and improvements are on our roadmap. Many developers build long-lasting careers with us.Key Responsibilities:Develop and maintain automated workflows and data pipelines for data collection and processing.Design, manage, and optimize structured datasets utilized throughout the organization.Create scripts and services for extracting, transforming, and loading data from various sources.Support journalists, analysts, and product teams in accessing and manipulating data.Ensure data quality, consistency, and reliability across datasets.Identify and implement improvements in automation and efficiency within data workflows.Collaborate with internal stakeholders, including developers, designers, UX specialists, and product teams.Contribute to the development of innovative data products, tools, and services.

Join DeepL as a Senior Data ScientistDeepL is a pioneering AI product and research organization dedicated to crafting secure, intelligent solutions to tackle complex business challenges. With a clientele of over 200,000 businesses and millions of users in 228 global markets, our Language AI platform is relied upon for its human-like translations, enhanced writing capabilities, and real-time voice translation.Founded in 2017 by CEO Jarek Kutylowski, DeepL now boasts a talented team of over 1,000 individuals and backing from esteemed investors like Benchmark, IVP, and Index Ventures. Our mission is to lead the global AI technology space by developing products that enhance communication, foster connections, and make a significant impact on society. We seek passionate professionals ready to innovate and grow their careers in a dynamic and purpose-driven environment.What Makes DeepL UniqueAt DeepL, we blend cutting-edge AI technology with meaningful work in a culture that champions individual growth. Our team of innovators, researchers, and creators shares a vision to unlock human potential by making work more efficient, smarter, and interconnected.Our employees frequently express positive sentiments about their experiences at DeepL, attributing it to our impactful technology and the values of trust, curiosity, and care that permeate our culture.Joining DeepL means becoming part of a dedicated team committed to innovation, growth, and employee well-being. Explore more about life at DeepL on our LinkedIn, Instagram, and Blog.

At causaLens, we revolutionize analytics and data science with our cutting-edge digital workforce, designed to streamline and automate intricate analytics workflows. Our innovative AI agents function as reliable digital employees, removing the necessity for disconnected tools, third-party consultants, and costly seat licenses. With the trust of industry giants like Cisco, Johnson & Johnson, and Canon, causaLens enables teams to glean insights at lightning speed—ten times faster and at a fraction of the cost—while guaranteeing outcomes and eliminating overhead.Curious about our culture? Check out these two insightful articles:1. A Hiring Framework for a New Kind of Services Company2. The Primacy of WinningWe are in search of a Lead AI Engineer who is driven by a desire to assist leading enterprises in crafting and implementing scalable, well-organized solutions to tackle real business challenges. In this role, you will engage in significant, high-visibility projects—defining architectures, drafting solution specifications, and spearheading technical deliveries to ensure successful results. As a hands-on technical leader, you will decompose projects into actionable units and guide teams through their execution.

At Scale AI, we’re not just creating AI tools—we’re leading the charge into the next frontier of enterprise AI. As organizations strive to leverage the capabilities of Generative AI, Scale stands at the forefront, offering innovative solutions that revolutionize workflows, automate intricate processes, and enhance efficiency for some of the largest enterprises in the world. Our Scale Generative AI Platform (SGP) provides essential services and APIs that empower businesses to effortlessly integrate AI into their operations at a production scale. We are on the lookout for a talented Backend Engineer to play a pivotal role in bringing large-scale GenAI systems into production. In this capacity, you will be responsible for constructing the core infrastructure that drives AI products for major enterprises—designing scalable APIs, distributed data systems, and resilient deployment pipelines that ensure production-grade reliability and performance. This is a unique opportunity to be at the epicenter of the GenAI revolution, tackling challenging backend and infrastructure obstacles that enable AI to function effectively at enterprise scale. If you are enthusiastic about influencing the deployment and scaling of AI systems in real-world scenarios, we would love to hear from you. At Scale, we don't just keep up with AI advancements—we drive them. With profound expertise in data, infrastructure, and model deployment, we are distinctly positioned to tackle the most challenging issues in AI adoption. Join us in shaping the future of enterprise AI, where your contributions will have a direct impact on how businesses operate, innovate, and thrive in the Generative AI era.

Become a Catalyst for Change at Axon.At Axon, we are committed to safeguarding lives and enhancing public safety through innovative technology. As pioneers in the field, we tackle critical issues surrounding safety and justice with our comprehensive ecosystem of devices and cloud-based software solutions. Our collaborative culture thrives on open communication and diverse perspectives, both from our customers and within our teams.Working at Axon is not just a job; it's a chance to make a tangible difference. Here, you will take initiative and make a real impact while growing personally and professionally in a fast-paced, meaningful environment.Your RoleWe are looking for adept and forward-thinking Machine Learning Scientists to enhance our AI team, focusing on applications of AI, particularly in Large Language Models (LLM) and Computer Vision across Cloud, Devices, and Robotics. As an integral part of our research and development initiatives, you will significantly contribute to advancing cutting-edge technologies in LLMs, Multimodal Large Language Models (MLLMs), Computer Vision, and Generative AI for law enforcement applications and more. You will work collaboratively with multidisciplinary teams to innovate, develop, and implement advanced LLM, MLLM, and CV models, enabling intelligent reasoning and perception of multimodal data.