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Join us as a Founding Senior Software Engineer to build the next generation AI analytics platform for helping product, marketing and sales teams make sense of customer feedback at scale! This is not a full remote role so you are expected to work at least 4 days a week in the office. This role is not suitable for you if you have been working mainly on freelancing projects or only in consulting. We require strong experience working on the same product over a long period of time within a product or data platform organization. Salary Range: 60-75k/year 1. Who we are 🚢 Taizen is building the next-generation AI insights platform for customer feedback. We recognize that making sense of qualitative customer feedback from multiple feedback sources is manual and time-consuming for product, marketing and sales teams to get an in-depth view of customer pain points and identify opportunities to drive sales and retention leading to millions of euros in incremental revenue. 👨‍👨‍👧‍👦 The next frontier of knowledge work will be AI-assisted and our mission is to accelerate this transition into an AI-first world by enabling companies create more value for their customers through a deeper understanding of the customer voice. 🎯 Taizen equips teams with the super powers to go beyond tracking explicit user actions to gleaning insights from unstructured customer feedback data from multiple feedback sources and customer touchpoints. We do this by simplifying complex data collection and reconciliation from multiple sources to ensure high-quality data at the source, automating AI insight extraction at scale and building agents that "gets your insights job done" on your behalf without needing a data scientist or data analyst. 📈 We’ve processed over 500M user signals to date and serve several data-driven and Enterprise companies. If you’re excited about the potential to redefine what the future of data-driven organizations should look like in an AI-first world, then you just might have found your band! 🎶 We are a VC-backed company built by two founders who spent the last 6 years at Spotify shipping personalized listening experiences to millions of Spotify users globally. 2. About the role We are currently seeking an experienced Senior Software Engineer with a strong Data and Backend background to join our growing team. As a Founding Engineer on the team, you will be responsible for building a scalable backend infrastructure for our data-intensive web app, optimizing storage/database workloads, ensuring high availability for our AI/ML backend services, scaling our integrations with multiple tools for ingesting different data types, and building robust data pipelines for data transformation and processing. You’ll partner closely with Full-Stack Engineers and AI/ML Scientists to ship production systems powered by LLMs and ML models. Key Responsibilities • Build and own scalable backend services for our data-intensive web app and AI/ML model serving, • Make database and storage trade-offs to optimize for the best performance when managing large amounts and varieties of data, including vector stores, • Build robust batch and real time data pipelines that can scale with increased load and data, • Build and maintain data integrations with different data sources and platforms (source and sink), • Design and manage the evolution of flexible data models and database infrastructure to handle different types of data sources and data points, optimizing for fast reads/writes, • Implement and manage a robust workflow orchestration for multiple data jobs, • Setup robust testing practices, monitoring and observability to ensure the reliability of all services and data pipelines, • Stay up-to-date with Software Engineering and Data Engineering Best Practices Minimum Qualifications • Bachelor's or Master's Degree in Computer Science or a related field, • Solid CS fundamentals and distributed systems knowledge is a must-have, • Experience building scalable data pipelines, orchestrating workflows and optimizing pipelines, • Experience working with data warehouse technologies, • Experience working with TypeScript/NodeJS/Python and a strongly typed language, • Very comfortable working across the data and backend, • Comfortable managing cloud infrastructure for backend, ML and data pipelines at scale (DevOps), • Ability to work collaboratively with cross-functional teams including Frontend and Machine Learning Engineers Additional Requirements • Previous experience working with LLMs, • Familiarity with vector databases/stores, • Ability to work across the stack and pick up new tools/technologies, • Strong problem-solving skills and ability to work in a fast-paced environment, • Excellent communication and interpersonal skills 3. Why you definitely want to work with us • 🚀 Asides from being part of an exciting mission and building things from scratch, you’ll be part of a small fun and ambitious team that loves moving fast and trying things out., • 👨‍👨‍👧‍👦 You’ll be doing one of the most impactful works of your career, making people’s lives better through AI., • 🥳 You will work hard, but we will celebrate the small and big wins together., • 🎉 We will organize company offsites a few times a year to work and play together., • 💰 And of course, you will get a competitive salary, significant equity ownership and professional development opportunities!

¿Te interesaría seguir desarrollándote como Data Scientist en una empresa Multinacional del sector editorial? Desde Oxigent Technologies seleccionamos un/a Data Scientist (Jr y Sr.) para participar de proyectos que apoyen a nuestros equipos comerciales, de ventas, editoriales y de marketing con información obtenida del análisis de los datos de la empresa. ¿Cuáles serán tus funciones principales? · Analizar datos en diferentes etapas del proceso de modelización. · Realizar el preprocesamiento de datos estructurados y no estructurados. · Analizar grandes cantidades de información para descubrir tendencias y patrones. · Crear modelos predictivos y algoritmos de aprendizaje automático. · Proponer soluciones y estrategias para los retos empresariales. · Solicitar opiniones y compartir resultados mediante visualizaciones de datos. · Colaborar con equipos de ingeniería y unidades de negocio. Para ello, ¿qué vas a necesitar? · +2 años de experiencia · Experiencia en migración de servicios a la nube pública (AWS, Azure) · Experiencia trabajando en previsión de ventas, optimización de precios y NLP/GenAI. · Experiencia trabajando en entornos en la nube como Databricks, AWS, Azure... · Experiencia con herramientas como Airflow, Docker y Kubernetes. · Capacidad demostrada para la programación informática, incluyendo dominio de Python y SQL. · Español nivel nativo, inglés avanzado. ¿Qué te ofrecemos? · Contratación indefinida a través de Oxigent. · Salario acorde a la experiencia aportada (hasta 44.000 euros brutos al año). · Horario flexible de entrada y salida. · Modalidad de trabajo Hibrida. · Cheque Formación para desarrollarte en las áreas profesionales que más te interesen. · Seguro médico privado. · Retribución flexible aplicable a seguro médico, restaurante, transporte, guardería y formación. · Aplicación de acceso a gimnasios y actividades deportivas en toda España con descuentos. ¡Y muchos otros beneficios! ¡Únete al equipo de Oxigent! Empresa comprometida con la sostenibilidad y la igualdad de oportunidades, donde el talento y la tecnología no entienden de género.

¡Impulsa tu carrera con AXPE Consulting! 🚀💻 En AXPE Consulting estamos revolucionando el mundo de la Tecnología y queremos que formes parte de esta aventura. Te invitamos a vivir una experiencia única en una compañía multinacional con presencia en Europa y América, que no solo mira al futuro, sino que lo construye. Nuestros valores son el motor que impulsa nuestro propósito y define nuestra identidad: en AXPE, apostamos por el TALENTO. 🔍 ¿Eres un/a Data Scientist con experiencia en analítica avanzada y visión estratégica? Desde nuestro Departamento de Data & Analytics, buscamos un perfil con formación sólida en estadística, machine learning y modelización avanzada para impulsar iniciativas clave de negocio y apoyar la toma de decisiones estratégicas. Si te apasiona entender el comportamiento del cliente, descubrir patrones complejos y transformar datos en impacto real… ¡esta oportunidad es para ti! 💡 ¿Qué esperamos de ti? • Titulación o sólida formación en Matemáticas, Estadística, Data Science o áreas afines., • Mínimo 2 años de experiencia en entornos de negocio, marketing o trade., • Conocimientos avanzados en estadística, econometría, análisis causal y machine learning., • Dominio de Python, R, SQL y herramientas de visualización de datos., • Capacidad para manejar contextos ambiguos, resolver problemas complejos y analizar información desde un enfoque crítico., • Habilidades de data storytelling para comunicar hallazgos de forma clara, estratégica y orientada al negocio., • Perfil autónomo, ágil y capaz de gestionar múltiples solicitudes en paralelo., • Nivel de inglés alto para interactuar con equipos locales e internacionales; francés valorado positivamente. 🎯 Se valorará positivamente: • Experiencia en clustering avanzado, segmentación de clientes y análisis de comportamiento., • Conocimientos en técnicas de causal inference, AB testing y evaluación de impacto., • Experiencia colaborando con equipos comerciales para convertir datos en insights accionables., • Capacidad para desarrollar modelos que expliquen relaciones causa–efecto y factores de crecimiento., • Experiencia generando informes regulares y ad-hoc para soportar decisiones estratégicas. 🌟 ¿Qué te ofrecemos? • 📍 Proyecto estable en un entorno multinacional y multidisciplinar., • 💼 Contrato indefinido desde el primer día., • 💰 Salario competitivo, alineado con tu experiencia y proyección., • ⚕ Seguro médico a precio reducido., • 📚 Acceso a formación continua y certificaciones, impulsando tu crecimiento profesional., • 🌍 Formar parte de un equipo que apuesta por el talento, la innovación y la excelencia., • 🏡 Modalidad híbrida y horario flexible, promoviendo la conciliación. En AXPE, el talento es nuestro eje. Somos expertos en tecnología y tenemos un firme compromiso con la responsabilidad corporativa. Promovemos la educación tecnológica y ofrecemos oportunidades tanto a nivel formativo como laboral. 📢 ¡Ser parte de AXPE es liderar la transformación tecnológica! ¿Estás listo/a para dar el siguiente paso? 🧑 💻🚀

Join us as a Founding Senior Full-Stack Software Engineer to build the next generation customer insights platform for helping product, marketing and sales teams make sense of customer feedback at scale! This is not a full remote role so you are expected to work at least 4 days a week in the office. This role is not suitable for you if you have been working mainly on freelancing projects or only in consulting. We require strong experience working on the same product over a long period of time within a product organization. Salary Range: 60-75k euros/year 1. Who we are 🚢 Taizen is building the next-generation AI insights platform for customer feedback. We recognize that making sense of qualitative customer feedback from multiple feedback sources is manual and time-consuming for product, marketing and sales teams to get an in-depth view of customer pain points and identify opportunities to drive sales and retention leading to millions of euros in incremental revenue. 👨‍👨‍👧‍👦 The next frontier of knowledge work will be AI-assisted and our mission is to accelerate this transition into an AI-first world by enabling companies create more value for their customers through a deeper understanding of the customer voice. 🎯 Taizen equips teams with the super powers to go beyond tracking explicit user actions to gleaning insights from unstructured customer feedback data from multiple feedback sources and customer touchpoints. We do this by simplifying complex data collection and reconciliation from multiple sources to ensure high-quality data at the source, automating AI insight extraction at scale and building agents that "gets your insights job done" on your behalf without needing a data scientist or data analyst. 📈 We’ve processed over 500M user signals to date and serve several data-driven and Enterprise companies. If you’re excited about the potential to redefine what the future of data-driven organizations should look like in an AI-first world, then you just might have found your band! 🎶 We are a VC-backed company built by two founders who spent the last 6 years at Spotify shipping personalized listening experiences to millions of Spotify users globally. 2. About the role We are currently seeking an experienced Full-Stack Software Engineer to join our growing team. As a Founding Engineer on the team, you will be responsible for building a sleek frontend user experience, a scalable backend infrastructure for our data-intensive web app, integrations with multiple tools for ingesting data and data pipelines for standardizing data. You will work closely with our AI Scientists and get exposed to working with machine learning models and LLMs in a production setting. Key Responsibilities • Design, prototype, implement and own product features end-to-end, • Build and own the frontend and backend for our data-intensive web app, • Build and maintain a robust and scalable backend infrastructure to power several AI-intensive workloads, • Build and maintain one-click integrations with different data sources and platforms, • Design and manage the evolution of flexible data models and database infrastructure to handle different types of data sources and data points, optimizing for fast reads/writes, • Build data pipelines to clean, standardize and process data from multiple sources, • Setup robust testing practices, monitoring and observability to ensure the reliability of all the components of our infrastructure, • Stay up-to-date with Software Engineering Best Practices Minimum Qualifications • Bachelor's or Master's Degree in Computer Science or a related field, • Solid CS fundamentals and distributed systems knowledge is a must-have, • Strong experience working with React/NextJS/TypeScript/NodeJS, • Very comfortable working across the stack (primarily frontend and backend), • Experience with building responsive web applications and scalable backend services, • Comfortable managing frontend and backend cloud infrastructure at scale in a production environment (DevOps), • Ability to work collaboratively with cross-functional teams including Machine Learning Engineers Additional Requirements • Familiarity with building data pipelines is a plus, • Ability to work across the stack and pick up new tools/technologies, • Strong problem-solving skills and ability to work in a fast-paced environment, • Bonus points for previous experience working on Machine Learning, LLM or Data platforms, • Excellent communication and interpersonal skills 3. Why you definitely want to work with us • 🚀 Asides from being part of an exciting mission and building things from scratch, you’ll be part of a small fun and ambitious team that loves moving fast and trying things out., • 👨‍👨‍👧‍👦 You’ll be doing one of the most impactful works of your career, making people’s lives better through AI., • 🥳 You will work hard, but we will celebrate the small and big wins together., • 🎉 We will organize company offsites a few times a year to work and play together., • 💰 And of course, you will get a competitive salary, significant equity ownership and professional development opportunities!

At Agap2, we are looking for a Principal Data Scientist to join a strategic AI initiative in the aerospace sector. The role involves leading Data Science efforts, driving the development and production deployment of advanced AI solutions, and providing strong technical leadership to high-performing teams. You will work closely with the Chief AI Scientist and collaborate with international stakeholders. Key Responsibilities: • Lead the Data Science team and ensure the quality, robustness, and business relevance of all deliverables., • Design, develop, and deploy scalable AI tools across multiple business domains., • Translate complex technical concepts into clear insights for non-technical stakeholders., • Collaborate closely with cross-functional teams and business leaders, including international travel when required., • Stay up to date with state-of-the-art AI methodologies to continuously improve solution effectiveness. Requirements: • PhD in Data Science, Computer Science, Statistics, or a related field., • 10+ years of experience in Data Science/AI with a proven track record leading impactful projects., • Strong background in machine learning, deep learning, optimisation, and/or generative AI., • Excellent communication skills and the ability to engage with senior stakeholders., • Experience in AI governance, quality assurance, and responsible AI practices. What working with us will offer you: • The chance to take part in challenging projects within a dynamic environment., • A stable position with a clear career development plan., • A permanent contract from day one., • Hybrid remote work format., • Flexible compensation and meal vouchers, among other benefits. If you're interested in this opportunity and would like to know more, feel free to apply so we can get in touch, share all the details, and answer any questions you may have. Agap2 is an equal opportunity employer. We are committed to evaluating all applications based on skills, experience, and achievements. We encourage everyone to apply — all candidates will be treated fairly regardless of race, nationality, gender, age, disability, sexual orientation, gender identity, or any other characteristic.

As part of the Delivery Hero Group, Glovo is the fastest-growing multi-category app in Spain, connecting millions of users with businesses, and couriers, offering on-demand services from more than 170,000 local restaurants, grocers and supermarkets, and high street retail stores, operating in more than 1500 cities across 25 countries. We are proud to make a significant and valuable contribution to the strategic positioning of the Delivery Hero Group on the global market through our unique expertise. Job Description We are on the lookout for a Data Scientist to join our Quick Commerce team on our journey to always deliver amazing experiences. Be part of redefining how customers experience quick commerce. You’ll help build technology that scales our non-food offerings, reaching new market segments and driving revenue growth. By innovating within our Quick Commerce Team, you’ll make Delivery Hero the go-to platform for a broad range of products, helping us grow faster and deliver more value to customers around the world. We are building the AI engine that helps vendors upload and update their catalog on our platform in the easiest and quickest way possible. As a Data Scientist, you will work side-by-side with Data Engineers and Software Engineers to design, build, and deploy ML models that automate content creation and power a smarter product assortment. This is a role for someone who has a strong background in applied ML, particularly in Computer Vision, and is hungry to build a reliable and scalable image recognition system. You will drive hypotheses, validate model accuracy, and bring ML-powered services to recognize and categorize products images into production with real business impact. If you’re a strong coder with a problem-solving mentality and thrive in high-scale applied ML problems, we’d love to talk. THE JOURNEY • Experiment, and deploy AI/ML models/Agents to automate products images recognition at scale., • Drive experimentation: formulate hypotheses, validate model performance , analyze business impact, and turn insights into production-ready models., • Develop and provide ML models to intelligently recognize products based on their images, extracting product details (like barcode, name), product categorization, etc., • Keep yourself up to date and apply state-of-the-art models (e.g., in NLP, deep learning, control vision, classification, LLMs/AI agents) to see what truly works best for us., • Collaborate closely with MLEs and Engineers to ensure solutions are scalable, reliable, and fast in production., • Contribute to the long-term vision of products image recognition, while delivering short-term wins that unlock measurable business impact. Qualifications WHAT YOU WILL BRING TO THE RIDE • Bachelor's degree in computer science, information systems, mathematics, statistics, or a related field., • 3+ years of professional experience as a Data Scientist focusing heavily on Computer Vision (CV)., • Deep expertise in relevant frameworks (e.g., PyTorch, TensorFlow)., • Proven experience with Object Detection, Image Segmentation, and Classification., • Experience with model versioning, tracking (MLflow, Weights & Biases), and ensuring models are deployable in production environments (Docker, Kubernetes), • Excellent communication skills, with the ability to clearly articulate complex technical problems and solutions to both engineers and business stakeholders. Nice To Have • PhD in AI, Machine Learning, or a related field., • Experience integrating ML models into low-latency real-time API services., • Experience in fine tuning Large Language Models., • Familiarity with cloud platforms (GCP preferred)., • Proven ability to design and scale ML systems under strict latency, throughput, and cost constraints, balancing innovation with operational excellence. Additional Information Individuals representing diverse profiles, and abilities, encompassing various genders, ethnicities, and backgrounds, are less likely to apply for this role if they do not possess solid experience in 100% of these areas. Even if it seems you don't meet our musts don't let it stop you, we are all about finding the best talent out there! Skills can be learned, and embracing diversity is invaluable. We Believe Driven Talent Deserves • 🍔 Monthly Glovo credits to satisfy your cravings!, • 🏊 Discounted gym memberships to keep you energized., • 🏖️ Extra time off, the freedom to work from home two days a week, and the opportunity to work from anywhere for up to three weeks a year!, • 👪 Enhanced parental leave, and office-based nursery., • 🧠 Online therapy and wellbeing benefits to ensure your mental well-being. Here at Glovo, we thrive on diversity, we believe it enhances our teams, products, and culture. We know that the best ideas come from a mashup of brilliant diverse minds. This is why we are committed to providing equal opportunities to talent from all backgrounds - all genders, racial/diverse backgrounds, abilities, ages, sexual orientations and all other unique characteristics that make you YOU. We will encourage you to bring your authentic self to work, fostering an inclusive environment where everyone feels heard. Feel free to note your pronouns in your application (e.g., she/her/hers, he/him/his, they/them/theirs, etc). So, ready to take the wheel and make this the ride of your life? Delve into our culture by taking a peek at our ___ and check out our ___ and ___! Here at Glovo, we thrive on diversity, we believe it enhances our teams, products, and culture. We know that the best ideas come from a mashup of brilliant diverse minds. This is why we are committed to providing equal opportunities to talent from all backgrounds – all genders, racial/diverse backgrounds, abilities, ages, sexual orientations and all other unique characteristics that make you YOU. We will encourage you to bring your authentic self to work, fostering an inclusive environment where everyone feels heard. Feel free to note your pronouns in your application (e.g., she/her/hers, he/him/his, they/them/theirs, etc). So, ready to take the wheel and make this the ride of your life? Delve into our culture by taking a peek at our ___ and check out our ___ and ___!

¡En CAPITOLE seguimos creciendo y queremos hacerlo contigo! Estamos buscando un/a Principal Data Scientist con al menos 10 años de experiencia en Data Science e Inteligencia Artificial para incorporarse a un proyecto estratégico, estable y de alto impacto para proyectos a larga duración. Es un rol senior con liderazgo técnico, trabajo directo con stakeholders, definición de soluciones de IA avanzadas y despliegue de modelos a escala. La presencialidad será de 2 días a la semana en oficinas por Barcelona, en un entorno internacional con trabajo en inglés y español. La posición implica viajes internacionales frecuentes. 🗒️¿Qué perfil estamos buscando? • Mínimo 10 años de experiencia en Data Science y AI., • PhD en Data Science, Computer Science, Estadística o disciplinas afines., • Experiencia sólida liderando equipos de Data Science y entregando proyectos de alto impacto en organizaciones complejas., • Experiencia avanzada en machine learning, optimización, simulación, deep learning, generative AI y otras áreas clave., • Experiencia estableciendo frameworks de calidad, estándares de gobernanza y procesos robustos en entornos de Data Science., • Trayectoria previa en roles consultivos y de interacción directa con negocio., • Excelente capacidad para comunicar y traducir conceptos técnicos complejos a audiencias no técnicas., • Habilidades de liderazgo para guiar, mentorizar y desarrollar equipos de Data Science., • Conocimientos sólidos en AI governance, ética y cumplimiento regulatorio., • Capacidad para justificar decisiones técnicas y estrategias de modelado ante stakeholders de alto nivel., • Es un MUST, tener Nivel alto de español e inglés, tanto hablado como escrito, ya que se trabaja en un ambiente internacional. 📍Presencialidad y disponibilidad • Trabajo híbrido: 2 días por semana en oficinas de Barcelona., • Disponibilidad para viajes internacionales. ⭐¿Por qué CAPITOLE? Somos grandes, pero contigo lo seremos aún más. Para ello ofrecemos: • Presupuesto individual de formación (eventos, certificaciones, cursos, libros)., • Seguimiento continuado con tu equipo para acompañarte en tu progreso., • Flexibilidad horaria para facilitar la conciliación., • Retribución flexible (Tickets Restaurante, Transporte, Guardería)., • Descuentos en gimnasios., • Seguro médico privado gratuito., • Team buildings mensuales., • Equipo de fútbol y pádel patrocinado por Capitole., • Comunidades tecnológicas internas para compartir conocimiento y fomentar la colaboración. El empleado/a se adherirá a las políticas de seguridad de la información: • Tendrá acceso a la información confidencial relativa a Capitole y al proyecto en el que trabaja., • Tendrá que cumplir las políticas de seguridad y las políticas internas de la empresa y cliente., • Tendrá que firmar un NDA.

Overview Your role will be based in Barcelona Area (Hybrid) to make key contributions to AI projects with a primary focus on computer vision, alongside natural language processing, foundational models and other general AI/ML solutions aligned with PEP AI roadmap within the global digital transformation journey within PepsiCo. You will be part of a collaborative interdisciplinary team around data and analytics, where you will explore new technologies, and design the adoption of new products in the domain of computer vision AI to support the development of digital solutions to create business decision making. Your work will span retail analytics, quality control systems, supply chain optimization, and consumer insights through visual intelligence. On the one hand, you will work closely with process owners, product owners and final business users. This will provide you the correct visibility and understanding of criticality of your developments to business stakeholders and S&T functional leaders. On the other hand, you will work closely with other data scientists to transfer your findings to ensure the scalability, robustness and reusability of the solutions that you develop. You will be an internal ambassador of the team's culture around data and analytics. You will provide stewardship to colleagues in the solution development landscape and further lead the onboarding of new developments in AI within the PepsiCo domain leading the development of best practices and standard ways of working. Responsibilities • Active contributor to code development in projects and services related to computer vision, object detection, image segmentation, video analytics, machine learning, mathematical modeling, AI and ML/AI Operations, and deep learning., • Design and deploy CV models for real-world applications including retail execution monitoring, manufacturing quality control, supply chain optimization, and visual search., • Active contributor in innovation activities, exploring the boundaries of technology to create AI solutions with the ability to continually prove accuracy and with a design goal of productization/reusability., • Create documentation for learnings and knowledge transfer., • Create reusable packages or libraries., • Partner with data engineers to ensure data access for discovery and proper data is prepared for model consumption., • Partner with other data scientists working on industrialization., • Occasionally, coordinate work activities with business teams, other services and as required., • Communicate with data scientists and other S&T stakeholders in the process of service design, training and knowledge transfer., • Support large-scale experimentation and build analytical models., • Set KPIs and metrics to evaluate analytics solution given a particular use case., • Refine requirements into modelling problems., • Influence product teams through data-based recommendations., • Research in state-of-the-art methodologies. Qualifications • Master's Degree in Computer Science, Data Science, Mathematics, Statistics, Computer Vision, or a related quantitative field., • Preferred: PhD in Computer Science, Machine Learning, Computer Vision, or related fields, with specialization in deep learning for visual recognition., • Minimum: 4+ years of hands-on experience building, deploying, and evaluating computer vision models in a research or industry setting, with a strong focus on object detection, segmentation, or image classification applications., • Ideal: 6+ years of experience, with demonstrable success in developing computer vision solutions, and delivering tangible business value., • Computer Vision models and architectures., • Experience with CNNs (ResNet, EfficientNet, MobileNet), Vision Transformers (ViT, Swin), object detection models (YOLO, Faster R-CNN, DETR), and segmentation models (U-Net, Mask R-CNN, SAM)., • Use cases: object detection, image classification, semantic/instance segmentation, visual quality inspection, OCR, video understanding, etc., • Deep Learning Frameworks: Proficiency in PyTorch, TensorFlow, or similar frameworks., • 8+ years working in Python, Java or other programming languages, • Python: Essential for data manipulation, model development, and integration. Data science libraries: NumPy, Pandas, Scikit-learn, Matplotlib. Computer Vision libraries: OpenCV, Pillow, Albumentations. Deep learning: PyTorch Vision, TorchVision, timm. Detection frameworks: Ultralytics, MMDetection, Detectron2., • Experience with model optimization and deployment: ONNX, TensorRT, quantization, edge deployment., • Data annotation tools: CVAT, Label Studio, or similar., • Cloud Computing: Experience with platforms like AWS, Azure, and GCP., • Azure DevOps: Knowledge of CI/CD pipelines and software development practices using Azure DevOps., • Fluency in English: Strong written and verbal communication skills in English are essential for collaboration and conveying technical ideas., • High proficiency in business storytelling and communicating insights in business consumable format., • Experience with multimodal AI (vision-language models like CLIP, BLIP, GPT-4V) is a plus., • Experience with Responsible AI and FAIR data is a plus., • Experience with NLP and generative AI for language tasks is a plus., • Track record of Developing AI products that have generated business value, and impact across multiple Industries., • Strong problem-solving mindset and creatively to identify and address challenges and opportunities, • Strong written, oral communication, and interpersonal and leadership skills, ideally experience driving consensus, • Strong project management, organizational, and prioritization skills with the ability to deal with ambiguity while juggling multiple priorities, • Deep passion for AI technologies and their real-life applications, • Ability to think strategically within business context and work at a fast pace

Company Description Hospital del Mar Research Institute Barcelona (HMRIB) is a public institution dedicated to advancing biomedical research. Affiliated with the Hospital del Mar, the Institute is situated within the renowned Barcelona Biomedical Research Park. The organization is committed to conducting high-quality research to drive innovation in healthcare. Role Description The Intercellular Communication in Cancer and Ageing laboratory of Patrick-Simon Welz, in collaboration with the Microbiome Research Group of Mireia Valles Colomer (Universitat Pompeu Fabra), is recruiting a technician/predoctoral student with a background in bioinformatics for the analysis of metagenomic studies and for the integration of omics data sets. Together, the two hosting laboratories are studying daily host-microbiota crosstalk in health and disease. This role offers the exciting opportunity to work at the interface between state-of-the-art wet lab and cutting-edge data science-driven research for advancing biomedical research. We are looking for a highly motivated data scientist with outstanding qualifications. Previous experience in microbiome research or in omics data analysis is highly desirable. Initially being a technician position, the aim is to convert the post into a pre-doctoral role. Qualifications • A master’s degree in a relevant field such as bioinformatics, or equivalent, • A bachelor's degree in biology, biomedical sciences, data science, or equivalent, with excellent grades, • Very good collaboration and communication skills to work effectively within a multidisciplinary team, • Fluency in English; knowledge of additional languages, particularly Spanish or Catalan, is a plus, • Capacity for independent learning and adaptability to new research methodologies, • Candidates, who have previously completed a PhD thesis, are not eligible Applicants are requested to provide their CVs, a motivation letter and information about the grades obtained in their bachelor's and master's degrees. 📄 For more info: ⏰ Deadline: Applications will be evaluated on a rolling basis. The position will be filled as soon as an excellent match has been made.

Implementar flujos de trabajo agentic utilizando LangChain, LangGraph u otros frameworks similares. En PSS apostamos por la igualdad de oportunidades y la diversidad. Te gustaría impulsar tu carrera en el sector IT con un proyecto sólido y un equipo de profesionales excepcionales? Si valoras la e

About the Role As a Senior Applied Data Scientist , you’ll operate at the intersection of data engineering, data science, and machine learning. Data Scientist / Applied Data Scientist , ideally in engineering or simulation-driven environments. Design, implement, and maintain data lakes , dat

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Solid hands-on experience (3+ years for mid-level, 5+ years for senior) working as a Data Scientist, ML Engineer, or Research Scientist in applied AI/ML projects deployed in production environments. Contribute to team learning and mentorship, guiding junior engineers and sharing expertise in LLM dev

Join a vibrant Data Tech-Hub where you can keep growing and learning from a passionate team of Data Scientists, Data Analysts, and ML/Data Engineers who are ready to innovate and inspire! Main responsibilities Uncover trends and insights by independently exploring complex datasets and resolving int

Responsibilities Partner with internal experts to identify critical data sources and define ML-relevant features Architect and build scalable data lakes/databases for standardized and efficient cross-org data access Clean, align, normalize, and integrate data from simulations, measurements, and oper

Lleva tu carrera al siguiente nivel con Amaris Consulting como Senior Data Scientist! Sé parte de un equipo internacional, prospera en un grupo global con un volumen de negocios de €800M y más de 1,000 clientes en todo el mundo, en un entorno ágil. QUÉ NECESITARÁS? ✍️ +4 años de experi

NTT DATA is the 6th biggest IT Service Company in the world with more than 100.000 professionals and a turnover of more than 15 billion euros. We at NTT DATA Spain make the difference by being close to our clients, exceeding expectations, managing proactively our projects and customers and focusing on quality and selecting employees with the right mindset to make our company grow. The Group has the ambitious goal to position within the TOP 3 worldwide. We have been awarded Best Place to work in Spain for 4 consecutive years. What are we looking for? We are seeking a Senior AI Engineer to join our AI & Analytics team in Spain. This role is ideal for an experienced engineer who is passionate about designing and deploying AI-driven solutions, with a strong foundation in machine learning, generative AI, and cloud computing. You will work with a multidisciplinary team to develop intelligent systems for clients across industries, contributing to end-to-end AI product development, from ideation to deployment and evaluation. We are looking for a professional who brings his knowledge and experience in artificial intelligence focused on: Defining and implementing technical solutions related to AI Platform framework/methodology. Building AI Platforms aligned with the logical version defined in high-level architecture designs. Being a cloud-native, hybrid or on-premises environment. Building CI/CD pipelines to orchestrate the MLOps life cycle aligned with client objectives and architecture requisites. Contribute to the standardization of methodologies for development, training, deploying, inference and monitor of AI use cases. Facing challenges related to MLOps practices, provide resources and tools for Data Scientist, give them flexibility for model development and robust methodology to allow its productivization, train models in an unattended way, monitorize the model performance and generate retrain alarms. What will you be accountable for? Your responsibilities around our artificial intelligence services will be focused on the following fields of action: Design, build, and deploy machine learning and GenAI solutions, including RAG architectures, autonomous agents, and evaluation pipelines. Lead the development of AI-based products and services, ensuring scalability, robustness, and maintainability. Collaborate with data scientists, engineers, and business stakeholders to translate requirements into technical solutions. Develop and maintain reusable AI components and best practices for GenAI systems. Integrate models into production environments using cloud platforms such as Azure, AWS, or Google Cloud. Stay current with advancements in AI and proactively propose innovations. Contribute to code reviews, documentation, and mentoring junior team members. Why would we want to meet you? We want to meet you if: Solid understanding of AI foundations, including both classical machine learning and generative AI. Proven experience building GenAI solutions, such as retrieval-augmented generation (RAG), autonomous agents, and evaluation frameworks. Proficient in Python and popular AI libraries (e.g., PyTorch, TensorFlow, LangChain, HuggingFace). Hands-on experience working with cloud platforms (Azure, AWS, or GCP) and deploying AI services in production. Strong software engineering practices (version control, CI/CD, testing, containerization). Must be located in or willing to relocate to Spain. We will positively value: Master’s degree in Computer Science, Engineering, Data Science, or related field. Experience with MLOps tools and practices. Experience in Agile/Scrum environments and collaborating with remote teams. Excellent command of English (C1-C2 level). Background in consulting or client-facing AI delivery projects. What do we offer? We propose: To work on projects for leading companies in Spanish and European market. To be involved in high priority projects with visibility to senior leadership To apply the latest technical innovations in artificial intelligence platforms in AWS. To attend and give conferences. To join the team of a consolidated multinational such as NTT Data, which shares with you its professional interests and enjoys applying artificial intelligence in large companies and public agencies. A competitive salary according to provided experience. A career path that ensures your professional development and continuous improvement (language courses, management and professional skill training, technical training and certifications). If you are interested or would like to have more information, please apply via this advertisement.

¡Únete a Nuestro Proyecto! Somos un grupo líder europeo en la distribución B2B de soluciones de embalaje , suministros de oficina y equipos industriales, con 26 empresas dentro del grupo y presencia en 19 países. En España y Portugal: Más de 100 empleados Más de 5,000 productos en nuestro catálogo Más de 120,000 clientes 2 centros de distribución ¿Qué buscamos? Un/a becario/a en análisis de datos para dar soporte al equipo de Data Science y Analytics. Si te apasiona la analítica, quieres aprender de proyectos reales y trabajar con herramientas de referencia en el sector, ¡esta oportunidad es para ti! Tus principales responsabilidades: Apoyar al Data Scientist / Analyst en la preparación, limpieza y análisis de datos. Colaborar en la extracción de información de nuestro ERP Business Central y CRM Salesforce . Participar en proyectos de mejora de procesos y automatización de reportes. Requisitos: Estudiante o recién graduado/a en Estadística, ADE, Ingeniería, Matemáticas, Informática o similar. Conocimientos básicos de análisis de datos y visualización. Nivel usuario en Excel avanzado. Interés por aprender y desarrollar habilidades en Business Central, Salesforce, Tableau y Power BI . Capacidad analítica, curiosidad y proactividad. Lo que ofrecemos: Beca con duración de 6 y posibilidad de incorporación futura según desempeño. 6 u 8 horas diarias según disponibilidad. Formación práctica en un entorno real de análisis de datos. Participación en proyectos estratégicos de la empresa. Mentoría directa con el Data Scientist / Analyst del equipo. Ayuda económica para cubrir tus gastos mientras aprendes con nosotros. Si quieres desarrollar tu carrera en análisis de datos y aprender con proyectos reales, ¡aplica ahora!

Job description: NTT DATA is seeking a passionate Data Scientist / Senior Data Scientist to join our AI team. Big Data technologies: Spark, Big Query, Snowflake, Databricks, etc. AWS, Azure, Google Cloud) and their data services, including data storage, processing, and machine learning capabilities

Extract insights and data-driven recommendations for our customers + Build and optimize data collection and ELT processes to extract data from Google Ads, Facebook, Google Analytics, Youtube or Amazon + Design and mantain dashboards in DataStudio, Shiny, Power BI etc. As part of a team of Data Scien

At Werfen, a global leader in in-vitro diagnostics, we are looking for a Technical Support Scientist to join our OEM Operations team. This role is ideal for a scientifically minded professional who enjoys designing experiments, analyzing data, and collaborating across functions in a highly regulated, quality-driven environment. About the Role As a Technical Support Scientist, you will perform a broad range of technical and analytical activities to ensure the optimal performance of our diagnostic products. You will provide specialized scientific and technical support to Production, R&D, and Quality Control teams, contributing to product improvement, troubleshooting, and the successful transfer of new products from development to manufacturing. Note: This position focuses on experiment design, data analysis, and interpretation. Hands-on laboratory testing will be executed by technicians, although strong laboratory knowledge is required. What You’ll Do Design experiments and define appropriate analytical or experimental methods for specific projects. Analyze, interpret, and draw conclusions from experimental and performance data. Investigate deviations, identify potential issues, and propose corrective actions. Prepare and present results and technical reports to senior staff. Write and review laboratory procedures and documentation in compliance with GMP and ISO standards. Support activities related to Non-Conformities (NCs), CAPAs, and continuous improvement projects. Participate actively in Lean Six Sigma and 5S initiatives. Collaborate with R&D, QA, Production, and other departments to ensure product quality and consistency. What We’re Looking For Bachelor’s degree in Biology, Biochemistry, Biotechnology, or a related scientific field. (A higher degree or equivalent experience is an advantage.) Experience in a laboratory environment, ideally within a regulated setting (GMP, ISO 13485, FDA). Strong knowledge of biological and chemical laboratory techniques and diagnostic products (IBDR). Familiarity with MS Office; SAP experience is a plus. Fluent in Spanish or Catalan, with advanced English skills (written and spoken). Strong analytical mindset, attention to detail, and problem-solving skills. Excellent teamwork and communication skills, with flexibility to adapt to changing priorities. Why Join Us At Werfen, you’ll join a collaborative, innovation-driven culture where science meets purpose. You’ll work with talented colleagues across R&D, Quality, and Operations, contributing to products that have a real impact on patient care worldwide. Travel: Occasional short-term assignments to external labs may be required Ready to make an impact through science and technology? Apply now and become part of a global team advancing diagnostics and improving lives.

ROLE PURPOSE The purpose of the Data Scientist role in our risk department is to enhance the company’s decision-making capabilities through data-driven insights. By leveraging machine learning, statistical analysis, and data science methodologies, the Data Scientist will contribute to developing and refining credit scoring models, collection models, product models and portfolio optimization strategies. This position is central to driving innovation and improving our risk management and product processes in a dynamic FinTech environment. PRIMARY RESPONSIBILITIES Develop and optimize credit scoring models using statistical and machine learning techniques. Conduct data analysis to identify risk factors, assess customer creditworthiness, and product behaviour Create reports and visualizations to monitor model performance and portfolio quality. Collaborate with the IT team to deploy and support models in a production environment. Test and fine-tune models based on market changes, customer needs, and regulatory requirements. KNOWLEDGE & SKILLS Must-Have Skills: Proficiency in Python (Pandas, NumPy, Scikit-Learn). SQL skills to manage and analyze data through complex queries. Foundational knowledge of machine learning, including linear and logistic regression, decision trees, and random forests. Experience with advanced ML techniques (e.g., gradient boosting) and libraries such as XGBoost, LightGBM, or CatBoost. Git version control for code management. Solid understanding of statistics (variance, correlation, p-value, t-tests, etc.). Nice-to-Have Skills: Familiarity with data visualization tools (Tableau, Power BI, Matplotlib, Seaborn). Understanding of regulatory requirements in Spain and Mexico’s lending sector, with knowledge of data protection laws. Experience with neural networks and deep learning libraries, such as PyTorch or TensorFlow. Ability to deal with external providers and to communicate in an appropriate & clear manner at different layers of the organization. BENEFITS Private health and dental insurance Discounted gym membership Freedom to work from home two days a week Kitchen with free coffee and fruit each Monday, Wednesday and Friday and snacks Team building activities and work in an international and passionate environment Don’t miss the opportunity to be part of a company that values innovation and talent! Join us and take your career to the next level

At PropHero we are seeking a hands-on Data Scientist Lead to guide our AI/ML strategy and execution. This role combines deep technical expertise in classical machine learning with practical experience in generative AI, ensuring our solutions are both state-of-the-art and production-ready. You will be responsible for leading a small but powerful team, driving end-to-end development of ML models, and ensuring that PropHero continues to innovate across multiple product lines. Responsibilities: Team Leadership & Strategy : Lead a small, multidisciplinary AI/ML team, ensuring alignment with product goals while fostering a culture of technical excellence. Model Development : Design, implement, and optimize ML models for classification, regression, clustering, and forecasting tasks. Training, Evaluation & Testing : Set up and oversee pipelines for training, evaluating, and testing models, ensuring robustness, accuracy, and reproducibility. Inference & Deployment : Work with engineers to operationalize models, ensuring efficient inference and integration into production systems. Generative AI Applications : Explore and build solutions leveraging LLMs, vector databases, retrieval-augmented generation (RAG), and agent frameworks (e.g., LangChain, LangGraph). Collaboration : Partner with AI Engineers, Data Scientists, and product teams to deliver practical, scalable, and impactful AI/ML features. Innovation & Research : Stay ahead of industry trends in both classical ML and GenAI, translating cutting-edge research into practical applications. Mentorship : Provide guidance, code reviews, and knowledge sharing to support the growth of junior team members. Requirements: Proven experience (5+ years) as a Data Scientist / ML Engineer, with hands-on coding and model building. At least 1 year of leadership experience: ability to mentor, review code, and guide a small team Strong background in classical ML (scikit-learn, XGBoost, LightGBM, regression / classification / clustering algorithms, etc.). Solid understanding of ML lifecycle: training, testing, inference and continuous evaluation. Practical experience with GenAI/LLM frameworks ( e.g. , LangChain, HugginFace, CrewAI). Strong coding skills in Python, with ability to write clean, maintainable, and efficient code. Experience designing experiments, with strong statistical foundations to ensure model robustness, fairness, and reproducibility. Familiarity with cloud platforms (AWS preferred) and MLOps practices. Excellent problem-solving and communication skills, with the ability to work cross-functionally. Fluent English for effective communication in a distributed global team. What benefits can PropHero bring you? We work remotely and in a flexible environment. This means we work with OKRs, always looking to grow the business, and we work with people worldwide, so we might have to adjust to different time zones. Learning and development. No matter where you come from, no matter what you have studied, you will always have room to learn from others and develop yourself by participating in an open and transparent environment full of experiences and creative ideas. Great Teamwork . If you join us you will be part of a growing strong team composed of different levels of seniority, where decision and ownership is shared. Early-stage Startup and opportunity for career growth . You will be part of the growth of a powerful startup with international projection and you will be able to gain more responsibility. Competitive economic package. At Prophero, we are committed to fostering an inclusive and equitable workplace where diverse perspectives and backgrounds are not only welcomed but celebrated. We believe that diversity drives innovation and empowers us to build stronger connections with our clients and communities. Prophero is an equal opportunity employer and is dedicated to ensuring a hiring process free from discrimination based on race, ethnicity, gender, age, disability, religion, sexual orientation, or any other characteristic protected by law. Our mission is to create a workplace where everyone feels valued, supported, and empowered to achieve their full potential.

Participa en un innovador proyecto del S ector Editorial , aportando al equipo tu experiencia como Data Scientist. Por eso, si tienes al menos 2-3 años de experiencia como Data Scientist , nos comprometemos a impulsar tu talento, satisfacer tus expectativas laborales y hacerte sentir como

Somos una consultora de comunicación y asuntos públicos a nivel internacional con más de 35 años de historia que centra su actividad en la protección y proyección de la reputación de sus clientes a través de la comunicación. Con experiencia adquirida a través de la gestión de más de 300 clientes, Roman ofrece servicios de comunicación corporativa, financiera, digital, interna, brands & influence, internacional, public affairs, creatividad, marca, diseño, branding, medición de la reputación y consultoría de propósito e impacto. Roman, como primera consultora de comunicación certificada como B Corp en España, desempeña su actividad con el objetivo de contribuir a la sociedad a través de la responsabilidad empresarial, la transparencia y un desempeño social y medioambiental que garantice un impacto positivo. De la mano de La Casa de Carlota y Nactiva, los flagships de impacto social y medioambiental de la agencia, respectivamente, Roman actúa para construir un mundo más inclusivo y sostenible. Actualmente, estamos en busca de un/a AI Solutions Engineer Senior para nuestra oficina de Barcelona . Su misión será la liderar el diseño, desarrollo y mantenimiento de soluciones avanzadas de Inteligencia Artificial que impulsen la transformación digital de la empresa, garantizando la integración segura con los sistemas corporativos, la calidad del ciclo de vida del dato y la aplicación de estándares de seguridad, privacidad y ética en IA. División: Servicios Corporativos Ubicación: Barcelona Competencias clave: Orientación al cliente Proactividad Compromiso Rigurosidad Requisitos de la posición: Formación en Ingeniería Informática, Telecomunicaciones, Matemáticas, Física, Data Science o similar. Muy valorable Máster o especialización en IA, Data Science, Machine Learning o Big Data. Experiencia de 3 a 5 años desarrollando soluciones de IA o software avanzado. Dominio de lenguaje de programación (Python, C# y JavaScript/TypeScript). Experiencia con frameworks como TensorFlow, PyTorch, Scikit-learn, LangChain, Semantic Kernel, ML.NET. Experiencia sólida en entornos cloud on-premise e híbridas, especialmente con Azure OpenAI / OpenAI, Kubernetes, Docker, SQL/NoSQL, MLOps/DevOps, APIs REST / Graph API. Experiencia implementando chatbots empresariales (Teams), sistemas de recomendación, automatización documental y dashboards inteligentes. Conocimientos en seguridad y gobernanza de IA, incluyendo MITRE ATLAS y marcos de IA responsable. Nivel de inglés deseable equivalente a First Certificate o superior. Se valorará conocimiento de catalán y experiencia en plataformas low-code/no-code. Certificaciones valorables: Azure AI Engineer, Azure Data Scientist, AI-900, DP-100, OpenAI Fundamentals, ISO 27001. Conocimientos técnicos: Buenas prácticas de ingeniería de software, patrones de diseño y código mantenible. Desarrollo y entrenamiento de modelos ML/DL, pipelines y evaluación de modelos. Integración de soluciones de IA generativa (OpenAI, Azure OpenAI, AWS Bedrock, HuggingFace). Diseño y mantenimiento de pipelines MLOps para entrenamiento, versionado y monitoring. Experiencia con Microsoft Fabric, Azure SQL, Synapse, MongoDB, entre otros. Diseño de pipelines ETL/ELT y buenas prácticas de gobierno del dato. Desarrollo de APIs REST, Graph API e integraciones corporativas. Construcción de microservicios y soluciones escalables. Conocimientos en RGPD/GDPR, ISO 27001, políticas de ciberseguridad. Experiencia en AI Security: AIVulnerability, MITRE ATLAS, protección frente a prompt injection, data poisoning, ataques adversariales. Funciones de la posición: Diseñar, desarrollar e implementar modelos avanzados de IA (ML/DL, NLP, visión artificial, RPA, agentes inteligentes). Integrar soluciones con nuestros sistemas corporativos (ERP, CRM, M365, SharePoint, APIs internas). Construir pipelines de entrenamiento y entornos MLOps para asegurar escalabilidad, calidad y automatización. Programar soluciones y servicios en Python, C#, JavaScript u otros lenguajes equivalentes. Desarrollar aplicaciones basadas en APIs de IA (OpenAI, Azure AI, AWS Bedrock, HuggingFace…). Diseñar arquitecturas de IA en entornos cloud, on-premise e híbridos. Evaluar herramientas, plataformas y proveedores (Azure AI, Databricks, MS Fabric…). Liderar la validación técnica de nuevos casos de uso de IA y proponer iniciativas de alto impacto. Garantizar el cumplimiento en seguridad, privacidad, RGPD/GDPR, ISO 27001 y buenas prácticas de IA responsable. Analizar flujos de datos, accesos, permisos y cifrado, implantando medidas frente a amenazas específicas en IA. Realizar revisiones y auditorías de seguridad en modelos (AI Security & Governance). Preparar y transformar datos, crear pipelines ETL/ELT y gestionar gobierno del dato. Construir soluciones inteligentes: chatbots, sistemas de recomendación, automatización documental, RPA con IA y dashboards avanzados. Elaborar documentación técnica y funcional, y acompañar a los equipos en la adopción segura y eficiente de las herramientas. Condiciones y beneficios que ofrecemos: Contrato indefinido 22 días de vacaciones + 12 viernes libres al año No trabajes el día de tu cumpleaños Modelo de trabajo híbrido y flexible: entrada flexible y teletrabajo Medidas de conciliación para mamás y papás Jornada intensiva en julio y agosto Plan de retribución flexible: seguro de salud, transporte, guardería Posibilidades de crecimiento y desarrollo en la empresa Si cumples con los requisitos y crees que este puesto está hecho para ti, haz clic en “Solicitar”. ¡Estamos deseando conocerte!

Participa en un innovador proyecto del S ector Editorial , aportando al equipo tu experiencia como Data Scientist. En ALTEN tenemos claro que el éxito de nuestros proyectos se debe a las personas que forman nuestro equipo. Por eso, si tienes al menos 2-3 años de experiencia como Data Scientist , nos comprometemos a impulsar tu talento, satisfacer tus expectativas laborales y hacerte sentir como en casa. ¿Quieres construir hoy el mundo de mañana? ¡Sigue leyendo! ¿Licenciatura o máster en ciencia de datos, informática, estadística, matemáticas o un campo relacionado. • 2-3 años de experiencia en ciencia de datos , aprendizaje automático o modelización estadística., • Dominio de Python , con experiencia en bibliotecas como Pandas , NumPy , Scikit-learn , TensorFlow o PyTorch., • Sólidos conocimientos de SQL para consultar y manipular grandes conjuntos de datos., • Experiencia con herramientas de visualización de datos como Power BI ., • Se valorarán los conocimientos sobre plataformas en la nube como AWS, Azure y Databricks., • Experiencia con MLOps y la implementación de modelos en un entorno de producción., • Modalidad: Híbrida (3 días de oficina y 2 en remoto) Si te gustan las cifras, te diremos que en España tenemos una facturación de 337 millones de euros, 10 sedes y un equipo formado por 5.500 personas. Además, en ALTEN nos enorgullecemos de ofrecer igualdad de oportunidades con independencia de género, edad, diversidad de capacidades o país de origen.

Participa en un innovador proyecto del S ector Editorial , aportando al equipo tu experiencia como Data Scientist. En ALTEN tenemos claro que el éxito de nuestros proyectos se debe a las personas que forman nuestro equipo. Por eso, si tienes al menos 2-3 años de experiencia como Data Scientist , nos comprometemos a impulsar tu talento, satisfacer tus expectativas laborales y hacerte sentir como en casa. ¿Quieres construir hoy el mundo de mañana? ¡Sigue leyendo! ¿Licenciatura o máster en ciencia de datos, informática, estadística, matemáticas o un campo relacionado. • 2-3 años de experiencia en ciencia de datos , aprendizaje automático o modelización estadística., • Dominio de Python , con experiencia en bibliotecas como Pandas , NumPy , Scikit-learn , TensorFlow o PyTorch., • Sólidos conocimientos de SQL para consultar y manipular grandes conjuntos de datos., • Experiencia con herramientas de visualización de datos como Power BI ., • Se valorarán los conocimientos sobre plataformas en la nube como AWS, Azure y Databricks., • Experiencia con MLOps y la implementación de modelos en un entorno de producción., • Modalidad: Híbrida (3 días de oficina y 2 en remoto) Si te gustan las cifras, te diremos que en España tenemos una facturación de 337 millones de euros, 10 sedes y un equipo formado por 5.500 personas. Además, en ALTEN nos enorgullecemos de ofrecer igualdad de oportunidades con independencia de género, edad, diversidad de capacidades o país de origen.

Participa en un innovador proyecto del S ector Editorial , aportando al equipo tu experiencia como Data Scientist. En ALTEN tenemos claro que el éxito de nuestros proyectos se debe a las personas que forman nuestro equipo. Por eso, si tienes al menos 2-3 años de experiencia como Data Scientist , nos comprometemos a impulsar tu talento, satisfacer tus expectativas laborales y hacerte sentir como en casa. ¿Quieres construir hoy el mundo de mañana? ¡Sigue leyendo! ¿Licenciatura o máster en ciencia de datos, informática, estadística, matemáticas o un campo relacionado. • 2-3 años de experiencia en ciencia de datos , aprendizaje automático o modelización estadística., • Dominio de Python , con experiencia en bibliotecas como Pandas , NumPy , Scikit-learn , TensorFlow o PyTorch., • Sólidos conocimientos de SQL para consultar y manipular grandes conjuntos de datos., • Experiencia con herramientas de visualización de datos como Power BI ., • Se valorarán los conocimientos sobre plataformas en la nube como AWS, Azure y Databricks., • Experiencia con MLOps y la implementación de modelos en un entorno de producción., • Modalidad: Híbrida (3 días de oficina y 2 en remoto) Si te gustan las cifras, te diremos que en España tenemos una facturación de 337 millones de euros, 10 sedes y un equipo formado por 5.500 personas. Además, en ALTEN nos enorgullecemos de ofrecer igualdad de oportunidades con independencia de género, edad, diversidad de capacidades o país de origen.

Participa en un innovador proyecto del S ector Editorial , aportando al equipo tu experiencia como Data Scientist. En ALTEN tenemos claro que el éxito de nuestros proyectos se debe a las personas que forman nuestro equipo. Por eso, si tienes al menos 2-3 años de experiencia como Data Scientist , nos comprometemos a impulsar tu talento, satisfacer tus expectativas laborales y hacerte sentir como en casa. ¿Quieres construir hoy el mundo de mañana? ¡Sigue leyendo! ¿Licenciatura o máster en ciencia de datos, informática, estadística, matemáticas o un campo relacionado. • 2-3 años de experiencia en ciencia de datos , aprendizaje automático o modelización estadística., • Dominio de Python , con experiencia en bibliotecas como Pandas , NumPy , Scikit-learn , TensorFlow o PyTorch., • Sólidos conocimientos de SQL para consultar y manipular grandes conjuntos de datos., • Experiencia con herramientas de visualización de datos como Power BI ., • Se valorarán los conocimientos sobre plataformas en la nube como AWS, Azure y Databricks., • Experiencia con MLOps y la implementación de modelos en un entorno de producción., • Modalidad: Híbrida (3 días de oficina y 2 en remoto) Si te gustan las cifras, te diremos que en España tenemos una facturación de 337 millones de euros, 10 sedes y un equipo formado por 5.500 personas. Además, en ALTEN nos enorgullecemos de ofrecer igualdad de oportunidades con independencia de género, edad, diversidad de capacidades o país de origen.

Senior) Data Scientist Barcelona, Spain- OLX – Data Science and Analytics - Full‑time - RemoteWELCOME TO OLX. What you will do in Data Science at OLXWork in the Data Science team, focusing on LLMs and GenAI, from a platform and marketplace perspective. GENERIC AI DATA SCIENCE TEAM We invite you

Buscamos Data Scientists con experiencia en machine learning, deep learning y MLOps.

You’ll be part of a team that breaks through walls and builds cross‑functional connections, where the common mission and goals matter more than reporting lines. Collaborate in multi‑functional, diverse global teams. GENERIC AI DATA SCIENCE TEAM We invite you to join us on a critical and exciti

A Technical Support Scientist is needed to design experiments, analyze data, and collaborate with other departments, ensuring the optimal performance of diagnostic products.

Experiencia trabajando en entornos en la nube como Databricks, AWS, Azure.

As a Data Scientist, you will work side-by-side with Data Engineers and Software Engineers to design, build, and deploy ML models that automate content creation and power a smarter product assortment. Job Description We are on the lookout for a Data Scientist to join our Quick Commerce team on o

As a Data Scientist, you will work side-by-side with Data Engineers and Software Engineers to design, build, and deploy ML models that automate content creation and power a smarter product assortment. Data Scientist focusing heavily on Computer Vision (CV).

Te interesaría seguir desarrollándote como Data Scientist en una empresa Multinacional del sector editorial? Desde Oxigent Technologies seleccionamos un/a Data Scientist (Jr y Sr. Experiencia trabajando en entornos en la nube como Databricks, AWS, Azure.

At Agap2 , we are looking for a Principal Data Scientist to join a strategic AI initiative in the aerospace sector. The role involves leading Data Science efforts, driving the development and production deployment of advanced AI solutions, and providing strong technical leadership to high-perfor

Experiencia trabajando en entornos en la nube como Databricks, AWS, Azure.

Experiencia sólida liderando equipos de Data Science y entregando proyectos de alto impacto en organizaciones complejas. Habilidades de liderazgo para guiar, mentorizar y desarrollar equipos de Data Science. Data Science e Inteligencia Artificial para incorporarse a un proyecto estratégico, establ

Experiencia trabajando en entornos en la nube como Databricks, AWS, Azure.

You will explore complex engineering data, architect scalable data infrastructure, and shape the data foundation powering AI model development across Keysight products. Architect and build scalable data lakes/databases for standardized and efficient cross-org data access. Experience with relational

Solid hands-on experience (3+ years for mid-level, 5+ years for senior) working as a Data Scientist, ML Engineer, or Research Scientist in applied AI/ML projects deployed in production environments. Hands-on experience with dataset creation and curation (including synthetic data generation) for trai

Lleva tu carrera al siguiente nivel con Amaris Consulting como Senior Data Scientist!.

Data Scientist / Applied Data Scientist. Partner with internal engineering and data teams to identify key data sources, define feature requirements, and align data standards across organizations. You’ll design and implement large-scale data architectures, develop robust data pipelines, and build h

Eres un/a Data Scientist con experiencia en analítica avanzada y visión estratégica?. Matemáticas, Estadística, Data Science.

Participa en un innovador proyecto del.En ALTEN tenemos claro que el éxito de nuestros proyectos se debe a las personas que forman nuestro equipo.Quieres construir hoy el mundo de mañana? ¡Sigue leyendo!.Licenciatura o máster en ciencia de datos, informática, estadística, matemáticas o un cam

Join a vibrant Data Tech-Hub where you can keep growing and learning from a passionate team of Data Scientists, Data Analysts, and ML/Data Engineers who are ready to innovate and inspire!. Uncover trends and insights by independently exploring complex datasets and resolving intricate data challenges