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Are you looking for a new challenge where advanced optimization meets real-world impact? We are looking for a Senior Optimization Scientist to join a cutting-edge technology project within the aviation and travel sector, working on complex, high-impact optimization problems. You will collaborate with cross-functional teams to translate business needs into mathematical models and robust optimization algorithms, contributing to innovative and production-ready solutions. Key Responsibilities: Optimization & Algorithms • Design, develop, and implement classical and metaheuristic optimization algorithms (e.g. Genetic Algorithms, PSO, Simulated Annealing)., • Translate complex business rules into mathematical constraints., • Collect, clean, and preprocess data from multiple sources., • Evaluate and fine-tune optimization algorithms to meet performance and scalability requirements., • Work with product and delivery teams to productionize optimization models., • Communicate results, insights, and implications clearly to senior stakeholders. Requirements: • Bachelor’s or Master’s degree in Operations Research, Applied Mathematics, Computer Science, or a related field., • 3–4+ years of experience in optimization or a related role., • Strong experience with metaheuristic optimization techniques (GA, PSO, SA, etc.)., • Proven ability to translate complex mathematical problems into actionable optimization solutions., • Proficiency in Python and data science libraries (Pandas, NumPy, SciPy, Scikit-learn)., • Hands-on experience with optimization libraries such as PuLP, Pyomo, and frameworks like Mealpy, DEAP, or Optuna., • Solid understanding of business rule modeling and constraint programming., • Fluent English (international environment). Nice to Have: • Experience with optimization solvers such as Gurobi, CPLEX, or Hexaly., • Experience with data visualization tools and libraries., • Knowledge of ETL processes and data cleansing., • Familiarity with linear optimization techniques., • Experience deploying models on cloud infrastructure (AWS preferred)., • Exposure to advanced mathematical modeling tools (Pyomo, OR-Tools). About You: • Strong communication and presentation skills., • Excellent problem-solving and critical-thinking abilities., • Curious mindset with a passion for learning new technologies., • Comfortable working in fast-paced, ambiguous environments., • Availability to work in a hybrid model (3 days on-site per week in Barcelona). Si te interesa la oportunidad y conocer todos los detalles, no dudes en aplicar al puesto para que podamos contactarte y hablar mejor sobre la posición, darte toda la información y resolver cualquier duda que te pueda surgir. Agap2 es una empresa que ofrece igualdad de oportunidades, por ello nos comprometemos a tratar todas las candidaturas por igual en función de sus capacidades, logros y experiencia. Animamos a cualquier persona a presentar su candidatura que será tratada con igualdad de oportunidades independientemente de su raza, nacionalidad, sexo, edad, discapacidad, orientación sexual, identidad de género o cualquier otra característica.

IUL is an international technology company with more than 35 years of experience designing and manufacturing analytical instrumentation for laboratories worldwide. Our core areas of expertise include optics and photonics, electronic and sensor systems, precision mechanics, and AI-based data analysis, applied to microbiology, diagnostics, and quality control. We develop complete instruments that integrate hardware, software, and algorithms, both under our own brand and as an OEM partner for leading global companies. IUL’s R&D activities cover the full product lifecycle, from concept and prototyping to industrialization, production, and successful commercialization in global markets. Our developments are characterized by robust engineering, scientific rigor, and long-term reliability, operating in regulated environments including in vitro diagnostics (IVD). As part of our continued growth, we are expanding our R&D team and are looking for a highly qualified PhD-level scientist or engineer to contribute to the development of next-generation sensing, optoelectronic, and AI-enabled technologies. Academic Background PhD in one of the following fields: • Physics, • Optics, • Electronics, • Telecommunications Engineering Additional Training / Experience Complementary studies and/or professional experience providing strong expertise in one or more of the competencies listed below. Technical Competencies Sensors • Electrochemical sensors, • Photomultipliers, • Photodiodes, • Bioluminescence, • Fluorescence, • Immunochromatography, • Instrumental optical systems, • Signal acquisition systems, • Amperometry and potentiometry, • Analog-to-digital converters (ADC), • Adjustment and calibration, • Low-level software for signal acquisition and processing Regulated Environments • Experience with sanitary devices for in vitro diagnostics (IVD) or other regulated environments is highly valued. What We Offer • Direct involvement in the development of real products with global market impact., • A technically challenging role with responsibility across the full product lifecycle., • Collaboration with a multidisciplinary R&D team combining physics, engineering, mechanics, software, and AI., • Long-term professional growth in a stable, industrial R&D environment.

About The Role We are looking for a Mid–Senior Data Scientist to work hands-on with one of our key clients: a large hospitality chain. You will be embedded with the client team, acting as a technical and analytical partner for pricing, revenue optimization, and AI initiatives. Beyond building models, you will help shape the roadmap, define priorities, and translate business strategy into deployable data science solutions. This is a high-impact, client-facing role for someone who enjoys combining strategic thinking with hands-on execution—and seeing their work directly affect real business outcomes. About Crata AI Crata AI is an applied AI and data company that works as a true technical and strategic partner for ambitious businesses. We don’t sell generic software—we design, build, and deploy custom intelligence systems that move real business metrics: revenue, margins, and operational leverage. Our model sits between consulting and product: we help clients define what to build, why it matters, and then we ship it. From pricing engines and demand forecasting to AI copilots and decision systems, we turn data into an operating advantage. We work with companies that already know AI is the future—but need a team that can bridge strategy, data, and execution. That’s where we come in. What You Will Do • Develop custom AI solutions end-to-end, from problem framing and modeling to production deployment—turning business strategy into real operating systems., • Own and evolve pricing and revenue optimization models (forecasting, elasticity, dynamic pricing)., • Work with client stakeholders to identify value opportunities, define use cases, and prioritize initiatives., • Design pricing strategies and analytical approaches, not just models., • Plan and execute A/B tests and experiments to validate impact and guide decision-making., • Translate strategic discussions into concrete data science roadmaps and implementations., • Build and maintain data pipelines and model workflows in cloud-based environments., • Act as a trusted partner to pricing, revenue, and operations teams, balancing business constraints with technical rigor. What We're Looking For Must-Have • Strong experience in Data Science (forecasting, ML, optimization)., • Excellent Python skills, with production-quality standards. Other languages are a plus., • Hands-on experience with AWS or other cloud platforms., • Proven experience designing and analyzing A/B tests or controlled experiments., • Background in pricing, demand forecasting, or revenue management., • Ability to discuss, plan, and shape analytical solutions with non-technical stakeholders., • Fluent in both English and Spanish (minimum B2 in each), able to operate professionally in a bilingual, client-facing environment. Nice-to-Have • Experience in hospitality, travel, airlines, or similar industries with perishable inventory., • Client-facing, consulting, or embedded-team experience., • Familiarity with data orchestration, experimentation platforms, or analytics tooling. Practical Details • Location: Barcelona or willing to relocate, • Work model: Hybrid (2–3 days/week on client site), • Experience level: Mid to Senior Why Crata AI • Fast-track career growth. We are a small, top-tier team in rapid expansion. If you perform, your scope, ownership, and influence will grow quickly—there are no rigid ladders or slow promotion cycles., • Real impact: You won’t build toy models; you’ll own systems that directly influence revenue and business decisions., • High bar: We are building a team of exceptional operators. You’ll work with people who care deeply about quality, leverage, and learning., • Strategic + hands-on. This role blends data science with product thinking and business strategy. You’ll help decide what to build, not just how., • Client proximity. You’ll work embedded with a high-scale, real-world operation, seeing your work used daily., • Unusual exposure. You’ll work directly with founders, C-level teams, and real P&Ls. Few roles offer this level of business context.

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 ___!

¿Qué estamos buscando? Actualmente nos encontramos en búsqueda de nuestro/nuestra futuro/futura Data Scientist cuya misión es participar en proyectos de analítica de datos mediante el desarrollo de procesos de reporting, data mining, generación de nuevas variables / indicadores así como modelos de analítica avanzada / cognitivos que ayuden en las acciones de cálculo de procesos corporativos / departamentales y reporting de las unidades del banco incrementando su eficiencia, eficacia y generando impacto en los márgenes de rentabilidad aportados por el cliente. Hablemos del Proyecto... Como Data Scientist tu misión será: • Desarrollar modelos enfocados a potenciar la gestión de anticipada mediante metodologías analíticas y de Machine Learning., • Realizar las ETLs necesarias para la elaboración de los modelos analíticos., • Participar en la ejecución, control y mejora de los modelos y procesos que se encuentren actualmente calendarizados / programados., • Realización de los procesos para el análisis de los datos (metodologías analíticas tradicionales, analítica avanzada (machine learning, Deep learning), desarrollo de sistemas cognitivos), • Desarrollo hipótesis que permitan diseñar y probar experimentos analíticos, con el objetivo de identificar áreas de oportunidad y medir el impacto potencial de nuevas iniciativas., • Seguimiento y pilotaje de las mejoras o tests que se lleven a cabo sobre los modelos., • Extracción de conclusiones accionables a partir del análisis de datos, con capacidad para traducirlas en implicaciones para el negocio., • Participación en diversos proyectos de la Dirección que afecten a los modelos para anticipar el comportamiento de los clientes. ¿Qué valoramos de tu candidatura? • Posees titulación con perfil STEM (Estadística, matemáticas, Ingenierías) o similares., • Se valorará positivamente si tienes áaster en Data Scientist / Big Data., • Tienes conocimientos de machine learning. Además, tienes conocimientos avanzados de SAS y/o tecnologías para manejo de datos como Python, R, etc., • Posees conocimiento de riesgo de crédito., • Tienes experiencia de 2 a 4 años en una posición similar. ¿Qué te ofrecemos? • Serás parte de un equipo de profesionales de primer nivel, con una excelente reputación en el sector., • Podrás disfrutar de una amplia oferta formativa., • Aprenderás de la mano de Managers de referencia de las distintas direcciones., • Ampliarás tu red de contactos a través de la colaboración y espacios de networking., • Contarás con opciones de desarrollo de carrera y movilidad dentro del Grupo. Somos un grupo bancario que sienta sus bases en los principios de meritocracia y el desarrollo de sus colaboradores., • Contratación indefinida y remuneración competitiva. Banco Sabadell está comprometido en promover ambientes de trabajo en los que se trate con respeto y dignidad a las personas, procurando el desarrollo profesional de la plantilla y garantizando la igualdad de oportunidades en su selección, formación y promoción ofreciendo un entorno de trabajo libre de cualquier discriminación por motivo de género, edad, orientación sexual, religión, etnia o cualquier otra circunstancia personal o social. Banco Sabadell forma parte de la red de empresas con el distintivo de “Igualdad en la Empresa” otorgado por el Ministerio de Igualdad.

¡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? 🧑 💻🚀

Hola Consultores, S.L. es una empresa especializada en la provisión de Servicios TIC e Ingeniería para la gestión empresarial, ofreciendo soluciones diseñadas a medida de las necesidades de nuestros clientes. Nos enorgullece ser una empresa 2.0 innovadora donde las personas son el centro de nuestra atención. La ética, transparencia, imparcialidad e independencia son valores fundamentales en nuestra filosofía, y también estamos comprometidos con la igualdad de género. Nos esforzamos por garantizar oportunidades equitativas para hombres y mujeres en todas las áreas de nuestro trabajo. Además, estamos firmemente a favor de la igualdad en todas sus formas y promovemos un entorno inclusivo donde cada individuo, independientemente de su género, religión, orientación sexual, etnia o cualquier otra característica, sea valorado y respetado. ¿Te apasiona resolver problemas complejos con impacto real? Buscamos un/a Senior Optimization Scientist para trabajar en proyectos punteros dentro del sector aviación y travel, donde la optimización es clave para la toma de decisiones ✈️📊. 💡 ¿Qué hace especial este rol? • Retos de alto impacto: diseño y aplicación de modelos avanzados de optimización para problemas reales de negocio., • Tecnología de primer nivel: trabajo con metaheurísticas (GA, PSO, SA), programación matemática y librerías líderes como Pyomo, PuLP, Optuna, DEAP, entre otras., • De la teoría a producción: colaboración estrecha con equipos de producto para llevar modelos a entorno productivo 🚀., • Visibilidad y peso estratégico: comunicación de resultados a stakeholders y líderes senior., • Mentoría: acompañamiento y desarrollo de perfiles junior, impulsando una cultura de aprendizaje continuo 🌱. 🧠 Perfil ideal • +5 años de experiencia en optimización, investigación operativa o data science avanzada., • Dominio de Python y del ecosistema de data y optimización., • Capacidad para traducir reglas de negocio en modelos matemáticos sólidos y escalables., • Mentalidad analítica, curiosa y orientada a impacto., • Nivel alto de inglés 🌍. ⭐ Nice to have • Experiencia con solvers como Gurobi, CPLEX o Hexaly., • Conocimientos de cloud (AWS) y despliegue de modelos., • Background en optimización lineal y herramientas avanzadas., • Experiencia en visualización de datos y procesos ETL. 📍 Ubicación y forma de trabajo • Barcelona, • Modelo híbrido: 3 días presenciales por semana, formando parte de un equipo innovador, técnico y colaborativo 🤝. ❤️ Beneficios: 🤝🏽Contrato laboral indefinido y estabilidad desde el primer día. 🚀Todo nuestro apoyo para tu desarrollo personal/profesional. 🕓Jornada laboral hibrida ✍🏻Incorporación inmediata. 🥰Excelente clima laboral. 💊Seguro médico privado con Adeslas (completo + dental). 📕Pago del 100% exámenes de certificación oficial. 💻Pago parcial de cualquier curso de IT/Data. ✔️Grandes proyectos con tecnologías avanzadas. ¡Únete a nuestro equipo! ¡En Hola Consultores apostamos por ti!

We are seeking a Senior Data Scientist/AI Engineer specializing in AI Safety to lead adversarial testing, risk assessment, and safety evaluations for LLM- and agent-powered chatbot systems. This role focuses on ensuring that AI technologies are safe, reliable, and aligned with business and user needs across high impact use cases. You will join a collaborative interdisciplinary team to design, evaluate, and harden AI/ML systems against misuse, failures, and emerging risks. You will work closely with product owners, engineering teams, and business stakeholders to identify safety requirements, conduct adversarial assessments, and develop robust mitigation strategies. This role is highly technical and safety critical, with broad visibility and influence across the organization. RESPONSABILITIES AI Safety, Robustness & Risk Assessment • Lead adversarial testing, including jailbreak attempts, prompt injection, harmful content generation, system prompt extraction, and agent tool misuse., • Conduct end to end risk assessments for AI driven chatbots and autonomous agent systems, identifying hazards, evaluating exposure, and defining mitigation strategies., • Build and maintain AI safety evaluation pipelines, including red team test suites, scenario-based evaluations, and automated stress testing., • Define and monitor safety KPIs such as harmful output rates, robustness scores, and model resilience metrics., • Analyze failure modes (e.g., hallucinations, deceptive reasoning, unsafe tool execution) and design guardrails to minimize risks. Technical Development & Collaboration • Develop reproducible experiments for LLM behavior analysis, including prompt engineering, control mechanisms, and guardrail testing., • Partner with data engineers and MLOps teams to integrate safety evaluations into CI/CD pipelines., • Work with product teams to translate safety requirements into actionable technical specifications., • Support model governance, including documentation, safety reports, and compliance with internal and external standards., • Contribute to innovation and research around emerging safety methodologies for LLMs and agent architectures. Knowledge Sharing & Leadership • Serve as an internal expert on AI safety best practices, adversarial testing methodologies, and robust system design., • Provide guidance and mentorship to data scientists, engineers, and product partners on safe AI development., • Create high-quality documentation, playbooks, and reusable tools for safety evaluations. QUALIFICATIONS • Master’s degree in Computer Science, Data Science, Machine Learning, or related quantitative field., • 4+ years of experience developing or evaluating machine learning systems, including LLM- or NLP-based applications., • Strong knowledge of Generative AI and Transformer-based models., • Experience with at least one deep learning framework (PyTorch, TensorFlow)., • Proficiency with Python and common data/ML libraries., • Experience conducting model evaluations, experimentation, or reliability testing., • Clear communication skills and the ability to translate technical findings into business relevant insights. Preferred Qualifications • Experience with adversarial ML, red teaming, or AI safety research., • Familiarity with safety testing frameworks such as automated red-teamers, harmful content classifiers, or jailbreak detection systems., • Hands-on experience with LLM agents, tool-use orchestration, or autonomous systems., • Knowledge of risk management frameworks (e.g., NIST AI RMF, ISO 42001) and Responsible AI principles., • Experience designing safety guardrails, moderation layers, or policy enforcement mechanisms., • Background in reinforcement learning or agent evaluation., • Experience with cloud platforms (AWS, Azure, GCP) and MLOps workflows.

¿Te apasiona el BigData? ¿Quieres formar parte de un equipo con una de las trayectorias más solventes en el mundo del Machine Learning, Analytics y BigData? ¿Te apetece trabajar en una compañía joven, participativa y especializada? Para ello solo exigimos un requisito, que tus respuestas a las preguntas anteriores hayan sido: ¡SÍ! En Mática Partners, trabajamos continuamente para mantenernos a la vanguardia tecnológica, y además somos una empresa People Centric, ponemos al trabajador en el centro de todo lo que hacemos. Creemos en una cultura horizontal, sin egos, en un entorno donde se valoran tanto las ideas como las personas. Buscamos a un/a Data Scientist con 3 años de experiencia en análisis de datos, apasionado/a por extraer insights y construir modelos de Machine Learning. ¿Qué buscamos? • Experiencia sólida en Python., • Buen dominio de la modularización y la programación orientada a objetos (OOP)., • Experiencia gestionando proyectos y equipo., • Experiencia trabajando con Git y buenas prácticas de control de versiones., • Conocimiento en tests unitarios y prácticas de CI/CD., • Se valorará positivamente experiencia con Azure Databricks y Azure Machine Learning (Jobs, Pipelines, YAMLs)., • Se valorará experiencia con PySpark., • Familiaridad con herramientas de gestión de tareas como Azure DevOps, Jira o similares., • Buen nivel de inglés, tanto oral como escrito. ¿Cómo será tu día a día? • Extraer y analizar datos de las bases de datos de la empresa para impulsar la optimización y la mejora del desarrollo de productos de la Segunda Ola Digital., • Evaluar la eficacia y precisión de las nuevas fuentes de datos y aplicar técnicas de recopilación de datos., • A partir de los datos disponibles y haciendo uso de algoritmos desarrollar modelos personalizados para resolver las iniciativas de IA existentes., • Utilice el modelado predictivo para aumentar y optimizar las experiencias de los clientes, la generación de ingresos, la segmentación de anuncios y otros resultados empresariales., • Diseñar marcos de prueba A / B y determinar siempre una métrica para evaluar los modelos., • Coordinarse con diferentes equipos funcionales para implementar modelos y monitorizar los resultados., • Desarrollar procesos y herramientas para supervisar y analizar el rendimiento del modelo y la precisión de los datos. ¿Qué ofrecemos? Contrato indefinido y salario entre los 38.000 y 42.000 euros brutos/año de entrada, ajustado según tu experiencia (nuestro plan de carrera incluye 2 revisiones anuales). También tendrás a tu disposición un plan de formación especializado, participación en la propiedad y los beneficios de Mática: Wetaca gratuito en la oficina dos días a la semana, horario flexible con facilidades para trabajar desde donde quieras, seguro de salud, retribución flexible con Cobee, además de las vacaciones habituales, ofrecemos una semana extra en Navidad y tres días adicionales en Semana Santa. También recibirás un divertido Welcome Kit con portátil (podrás escoger entre varios modelos Mac o Windows), móvil, botella personalizada, auriculares bluetooth y golosinas. Cuando estés en nuestra oficina, en el centro de Barcelona o Madrid, la fruta, los cafés y los refrescos corren a cuenta de Mática. ¡Ah! Y si eres amante de los animales, te gustará saber esto: ¡nuestras oficinas son Pet-friendly! Si te interesa, escríbenos por LinkedIn o envía tu CV a Do you want to be Mática? • Be Mática!

Factorenergia es una empresa líder en el sector de la electricidad, el gas y las energías renovables, con más de 350.000 clientes en toda España. Nos encontramos en pleno proceso de transformación digital, desarrollando soluciones innovadoras de Inteligencia Artificial, asistentes conversacionales y automatización inteligente para optimizar nuestros servicios y ofrecer experiencias excepcionales a nuestros clientes. Si quieres formar parte de un equipo dinámico y multidisciplinario que apuesta por la tecnología y el aprendizaje automático, ¡esta es tu oportunidad! Buscamos incorporar un/a Data Scientist / Backend Developer con experiencia en desarrollo backend, procesamiento de datos, y especialización en herramientas de Inteligencia Artificial como LLMs (Large Language Models) para nuestras oficinas en Barcelona (Av. Diagonal 575 - Edificio CC L'ILLA DIAGONAL) – híbrido. Responsabilidades: • Diseñar y desarrollar modelos de datos y algoritmos optimizados para proyectos de inteligencia artificial, incluyendo LLMs (OpenAI, Gemini, Claude) y frameworks de orquestacion como LangChain y LangGraph., • Desarrollar, mantener y documentar APIs internas para servicios de inteligencia artificial y procesamiento de datos., • Gestionar la integración de sistemas como WhatsApp Business, Salesforce y Genesys en proyectos como chatbots y plataformas de análisis., • Implementar soluciones de automatización para reportes, generación de textos legales y análisis de datos complejos., • Configurar y optimizar bases de datos SQL, asegurando su integración con aplicaciones y flujos de trabajo., • Planificar y ejecutar pruebas unitarias para garantizar la calidad y estabilidad de los desarrollos., • Gestionar entornos de desarrollo utilizando Docker y GitLab, con despliegue automatizado en Jenkins. Colaborar en la monitorizacion y observabilidad de sistemas mediante Grafana, Prometheus y Loki. Requisitos: Formación Académica: Grado en Ciencia de Datos, Ingeniería Informática o áreas relacionadas. Habilidades técnicas: • Desarrollo Backend: Python (FastAPI, SQLAlchemy, LangChain, Pydantic), integracion de APIs REST y WebSockets, diseno orientado a objetos y principios SOLID., • Gestión de Datos: Bases de datos SQL (SQL Server, MySQL) y Redis., • Automatización: Experiencia en herramientas de integración continua como Jenkins., • Despliegue: Docker, Portainer, configuraciones de entornos hibridos (desarrollo/produccion). Se valorara experiencia con Kubernetes., • Inteligencia Artificial: Experiencia con LLMs (OpenAI API, Gemini), frameworks de orquestacion (LangChain, LangGraph) y herramientas de observabilidad (LangSmith). Se valorara conocimiento en procesamiento de audio (Whisper, ElevenLabs)., • Git y Control de Versiones: Trabajo colaborativo en repositorios GitLab. Habilidades Personales: • Capacidad analítica y orientación a la solución de problemas., • Trabajo en equipo y habilidades de comunicación para colaborar con equipos multidisciplinarios., • Iniciativa y proactividad para proponer soluciones innovadoras. Ofrecemos: • Proyecto estable con oportunidades de crecimiento., • Equipo de trabajo multidisciplinario y excelente ambiente laboral., • Viernes intensivos todo el año hasta las 15 hs., • Posibilidad de realizar modalidad de trabajo híbrido (casa-oficina); Superado el período de evaluación., • Descuento especial en la Luz & Gas para trabajadores de Factorenergia.

Buscamos un/a Data Scientist con fuerte orientación a negocio para desarrollar modelos analíticos avanzados y generar insights accionables. Funciones principales • Desarrollo de modelos analíticos en Python y/o R para generar insights de negocio., • Análisis avanzado de datos:, • Cruce de múltiples fuentes, • Root cause analysis, • Correlación, uplift, eficiencia de rutas, optimización de costes, etc., • Creación de un circuito de Pruebas de Concepto (PoC) para identificar valor y escalar soluciones cuando se demuestre impacto., • Colaboración con equipos de Data Analyst y negocio. Requisitos • Experiencia en modelado analítico con Python y/o R., • Capacidad para traducir datos en decisiones de negocio., • Mentalidad exploratoria, analítica y orientada a impacto. Valorable • Conocimientos en Copilot Studio y/o Power Automate., • Experiencia en entornos corporativos con datos complejos. Si te interesa la oportunidad y conocer todos los detalles, no dudes en aplicar al puesto para que podamos contactarte y hablar mejor sobre la posición, darte toda la información y resolver cualquier duda que te pueda surgir. Agap2 es una empresa que ofrece igualdad de oportunidades, por ello nos comprometemos a tratar todas las candidaturas por igual en función de sus capacidades, logros y experiencia. Animamos a cualquier persona a presentar su candidatura que será tratada con igualdad de oportunidades independientemente de su raza, nacionalidad, sexo, edad, discapacidad, orientación sexual, identidad de género o cualquier otra característica.

JOB DESCRIPTION As a Data Scientist, youll join our Data Science team, distributed across Paris, Lyon, Barcelona, and Brussels. Data Scientist Pioneer of online flash sales since 2001 and key player in European e-commerce, Veepee collaborates with over 7,000 brands to offer highly discounted prod

Senior Data engineer Descripción Senior Data engineer Ubicación: Barcelona Viladecans (Área Metropolitana) Modalidad: híbrido (2 días/semana en oficinas del cliente) Sector: Industria Descripción del puesto Buscamos un/a Senior Data Scientist especializado/a en Optimización par

Senior Data Scientist/AI Engineer specializing in AI Safety.LLM- and agent-powered chatbot systems.This role focuses on ensuring that AI technologies are safe, reliable, and aligned with business and user needs across high impact use cases.You will join a collaborative interdisciplinary team to desi

At Capitole we continue to grow, and we are looking for a: Senior Data Scientist to join an international client, based in Barcelona. As a Senior Data Scientist, your responsibilities will include: Develop and implement classical and metaheuristic optimization algorithms such as Genetic Algorithms

Desde LHH, estamos en búsqueda de un/a Data Scientist con especialidad en Optimización para incorporarse a un Centro de Excelencia en Data & IA con colaboración internacional. Colaborar en un entorno multidisciplinar y con equipos globales, participando en la evolución de metodologías y marcos

Está formado por Data Scientists, Big Data Engineers, Machine Learning Engineers, Deep Learning Researchers, AI Engineers y Software Engineers, trabajando en squads multidisciplinares para crear algoritmos de machine learning de vanguardia apoyados en la última tecnología de Big Data y computaci�

Responsibilities Leading multiple AI initiatives across product development and delivery Working directly with clients to translate complex business problems into scalable AI solutions Owning product or solution verticals and driving measurable outcomes Leading and mentoring teams of data scientists

Job description: NTT DATA is seeking a passionate Data Scientist with expertise in optimization algorithms to join our AI team. Work with team members across multiple disciplines to understand the data Descriptive and exploratory statistics applied to detecting patterns and trends in data. AWS, Azu

Senior Data Scientist to join an international client, based in Barcelona. As a Senior Data Scientist, your responsibilities will include: Evaluate and fine-tune optimization algorithms to ensure they meet performance criteria. Proficiency in English is a must Masters degree in Business Administrat

Desde LHH, estamos en búsqueda de un/a Data Scientist con especialidad en Optimización para incorporarse a un Centro de Excelencia en Data & IA con colaboración internacional. Qué te ofrece el proyecto? Un entorno técnico con foco en IA & Data y colaboración internacional. Colaborar en un ento

NTT DATA is seeking a passionate Data Scientist / Senior Data Scientist to join our AI team. Mentor junior data scientists (for Senior positions) and contribute to a culture of continuous learning and improvement within the team. Machine Learning, optimization and advanced analytics techniques Work

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. 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. Being a cloud-native, hybrid or on-premises environment. 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. Collaborate with data scientists, engineers, and business stakeholders to translate requirements into technical solutions. Integrate models into production environments using cloud platforms such as Azure, AWS, or Google Cloud. Contribute to code reviews, documentation, and mentoring junior team members. 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). Master’s degree in Computer Science, Engineering, Data Science, or related field. 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. 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 career path that ensures your professional development and continuous improvement (language courses, management and professional skill training, technical training and certifications).

NTT DATA is seeking a passionate Data Scientist / Senior Data Scientist to join our AI team.This is a fantastic opportunity to work alongside brilliant minds in data science, where you can learn and enrich yourself in a dynamic and innovative environment, leveraging cutting-edge Artificial Intellige

Expert in Python, PySpark & SQL Strong knowledge of cloud ML platforms Strong stakeholder management Lead and managed Data Science projects end-to-end Must be an EU Citizen.

Te gustaría participar en soluciones end to end enfocadas a Data/IA y formar parte de un equipo multidisciplinar? En NTT DATA, buscamos perfiles Mid Optimization Scientist para trabajar en un importante proyecto del sector aviación y unirte al equipo de Data&Analytics. Cuál sería tu misión

NTT DATA es una consultora multinacional que ofrece soluciones tecnológicas, de negocio, estrategia, desarrollo y mantenimiento de aplicaciones, siendo referente en consultoría. Digital Technology es la unidad enfocada a acompañar a las grandes organizaciones iberoamericanas en su transformación digital, generando dividendos digitales a través de la tecnología y el diseño, con enfoque práctico y orientado al negocio. Para lograrlo, buscamos personas que compartan nuestra curiosidad permanente, pasión por la tecnología, excelencia constante y visión estratégica. ¿Te gustaría participar en soluciones end to end enfocadas a Data/IA y formar parte de un equipo multidisciplinar? En NTT DATA, buscamos perfiles Tech Lead/MLOps para trabajar en un importante proyecto del sector aviación y unirte al equipo de Data&Analytics. ¿Cuál sería tu misión? Como Senior Tech Lead para el dominio de IMS, reportarás directamente al Responsable del Grupo de Ingeniería de Software, y te alinearás con el equipo de Data Scientist. Serás responsable de asegurar que los diseños técnicos y la estrategia tecnológica general proporcionen un equilibrio óptimo entre costo, riesgo, tiempo para el valor y todas las demás consideraciones, para las soluciones de IA y el desarrollo de plataformas de ML. En tu día a día podrías tener las siguientes responsabilidades: Proporcionarás una aportación significativa a la arquitectura del producto para productos de IA reutilizables que puedan ser adoptados por más de una parte del Grupo dentro del dominio de IMS (relacionado con Mantenimiento, Reparación y Servicios de Revisión). Monitorizarás y reducirás continuamente el esfuerzo requerido por los consumidores internos para descubrir y adoptar estos productos potenciados por IA, tratando a los colegas como clientes y optimizando los viajes asociados. Serás responsable de la dirección técnica para plataformas de IA / ML para productos IMS, incluyendo abstracciones ligeras de IA generativa y la ruta hacia la plataforma en vivo y en tiempo real para el desarrollo de ML. Asegurarás que todos los equipos operen un proceso de gobernanza técnica estructurado y ágil que apoye la toma de decisiones rápida y auditable con responsabilidades adecuadamente delegadas, evidenciando conformidad con todos los estándares y límites para componentes técnicos reutilizables, patrones de diseño, interfaces y modelos de aprendizaje automático. Tendrás la propiedad de la gobernanza técnica, incluyendo el proceso KDD (Key Design Decision) para productos IMS, apoyando una toma de decisiones rápida y auditable y conformidad con los estándares del Grupo para componentes reutilizables, patrones de diseño y modelos de ML. Experiencia y conocimiento del enfoque técnico para el desarrollo de modelos y la ingeniería de ML contemporánea, incluyendo plataformas de terceros, rutas hacia la producción y pipelines CICD para MLOps y ciencia de datos. Mantener un enfoque disciplinado y auditable en la toma de decisiones arquitectónicas alineadas con principios ágiles. ¿Qué esperamos de ti? Al menos 10 años de experiencia trabajando en Ingeniería Empresaria l, trabajando en entornos complejos, incluyendo la entrega de herramientas y capacidades de IA, con un historial comprobado de entrega de valor tangible a través de la tecnología Disposición y capacidad para estar en el sitio y viajar semanalmente entre Barcelona y Londres Entusiasta, optimista y orientado al futuro Habilidades sobresalientes de liderazgo, comunicación e interpersonales, con la capacidad de inspirar y motivar a un equipo diverso y multifuncional Capacidad para enmarcar consideraciones técnicas complejas para el consumo por ejecutivos con poco tiempo para apoyar la toma de decisiones y la educación Se valorará experiencia en la industria aérea. Fluidez en inglés. ¿Qué podremos ofrecerte? Formar parte de un equipo de élite, especializado en la unión entre estrategia y tecnología. Contrato indefinido con revisiones de categoría y salario anuales. Certificaciones bonificadas (Adaptada a cada división). Acceso a nuestra plataforma formativa NTT DATA University (formaciones técnicas, metodológicas, idiomas y soft skills). Trabajo híbrido (dos días presencial en oficina cliente) y horario flexible para que conciliemos mejor. Jornada intensiva (8:00 a 15:00) los viernes y durante el verano. Beneficios corporativos: complementos salariales adicionales, retribución flexible, seguro médico, etc. Global Top Employer 2025 — por 10º año consecutivo en España. Programas solidarios y actividades sociales a través de nuestro portal de voluntarios de The Blue Wave impulsando un impacto positivo. Innovación diversa y cultura inclusiva en NTT DATA creemos que cada persona es única. Apostamos por una cultura inclusiva que valora la diversidad y fomenta un entorno donde todos podamos explorar y potenciar nuestra singularidad. Únete al equipo de Digital Technology en NTT DATA. Esta es una oportunidad emocionante para contribuir a proyectos de vanguardia en la industria de la aviación y los viajes.

¡En Ayesa crecemos contigo! En Ayesa no esperamos al futuro, lo lideramos. A través de la #tecnología y la ingeniería lo hacemos posible, convirtiendo retos en oportunidades, conceptos en soluciones y visión en impacto real. Paso a paso nos acercamos a un futuro mejor. Con tu pasión, talento y determinación, seguiremos transformando el presente y construyendo el futuro. Ayesa, Making It Happen. Si eres una persona entusiasta, te apasiona la tecnología y buscas un nuevo reto profesional, ¡éste es tu sitio! ¡Anímate a dar el salto! ¡Te estamos esperando! ¿Qué vas a hacer? Analizar grandes volúmenes de datos Ecommerce para apoyar la toma de decisiones de negocio. Desarrollar dashboards e informes ejecutivos en Power BI. Construir modelos analíticos y predictivos orientados a performance comercial. Colaborar estrechamente con equipos de negocio, producto y tecnología. Definir y analizar experimentos (A/B testing) para optimización de conversión y crecimiento. ¿Qué buscamos? Experiencia previa en entornos Ecommerce. Dominio avanzado de SQL. Experiencia trabajando con BigQuery y Snowflake. Dominio avanzado de Power BI. Nivel avanzado de Excel. Nivel alto de inglés (entorno internacional). Requisitos deseables: Experiencia en modelos predictivos: Propensión a compra Churn LTV Forecasting de demanda Conocimiento de técnicas de Machine Learning. Programación en Python (pandas, numpy, scikit-learn). Experiencia con notebooks (Databricks / Jupyter). Experiencia en A/B testing y experimentación digital. Uso de herramientas de optimización como GrowthBook y Optimizely. Experiencia trabajando con Azure DevOps. Te ofrecemos un camino lleno de aventuras: · ¡Llega hasta donde tú quieras! ¡Crece con nuestros programas de desarrollo! Te ayudaremos a marcar tu itinerario de futuro anualmente participando en proyectos vanguardistas con los mejores profesionales del sector. · Porque lo importante sois tú y los tuyos : contamos con políticas que facilitan la conciliación entre la vida profesional y personal: Flexibilidad horaria, Smart Job y jornada intensiva en verano. · Tú decides cómo usar tu dinero: disfruta de nuestra retribución flexible, contamos con: Seguro médico, Ticket Restaurant, Guardería y Transporte. · Plan Bienestar descuentos en viajes, tecnología, formación, deporte, belleza y ¡muchos más! · Diviértete participando en los diferentes concursos y actividades que organizamos: ¿te gusta el deporte, escribir, la fotografía? Todo tiene cabida. · ¡Actualízate! apostamos por un aprendizaje continuo, contamos con formación especializada, certificaciones e idiomas · ¡Deja tu huella! Impacta con nuestros proyectos de voluntariado social. ¡Únete a la multinacional española tecnológica referente en el mundo! Atendiendo a la Ley Orgánica 3/2007, de 22 de marzo, Ayesa se ha marcado como objetivo promover la defensa y aplicación efectiva del principio de igualdad entre hombres y mujeres, evitando cualquier tipo de discriminación laboral por razón de sexo, garantizando así las mismas oportunidades de ingreso. Asimismo, fomentamos la diversidad, rechazando cualquier tipo de discriminación por razones de raza, sexo, diversidad funcional, religión, orientación sexual, identidad sexual, o cualquier otra condición personal o social, apostando por construir un entorno inclusivo y enriquecedor. #LI-RC1

Job description: NTT DATA is seeking a passionate Data Scientist with expertise in optimization algorithms to join our AI team. Work with team members across multiple disciplines to understand the data Descriptive and exploratory statistics applied to detecting patterns and trends in data. AWS, Az

Proficiency in Python and data science libraries (e.

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

At Agap2 , we are looking for a Principal Data Scientist to join a strategic AI initiative in the aerospace sector. Key Responsibilities: Lead the Data Science team and ensure the quality, robustness, and business relevance of all deliverables. Requirements: PhD in Data Science, Computer Scien

NTT DATA is seeking a passionate Data Scientist / Senior Data Scientist to join our AI team. AWS, Azure, Google Cloud) and their data services, including data storage, processing, and machine learning capabilities. Machine Learning, optimization and advanced analytics techniques Work with team membe

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. 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. Being a cloud-native, hybrid or on-premises environment. 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. Collaborate with data scientists, engineers, and business stakeholders to translate requirements into technical solutions. Integrate models into production environments using cloud platforms such as Azure, AWS, or Google Cloud. Contribute to code reviews, documentation, and mentoring junior team members. 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). Master’s degree in Computer Science, Engineering, Data Science, or related field. 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. 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 career path that ensures your professional development and continuous improvement (language courses, management and professional skill training, technical training and certifications).

We are looking for a Senior Optimization Scientist to join a cutting-edge technology project within the aviation and travel sector , working on complex, high-impact optimization problems. Genetic Algorithms, PSO, Simulated Annealing). Data Analysis & Preparation Collect, clean, and preprocess data from multiple sources. Identify patterns and insights to improve optimization model performance. Evaluate and fine-tune optimization algorithms to meet performance and scalability requirements. Perform sensitivity analysis to assess the impact of constraints and parameters. Communicate results, insights, and implications clearly to senior stakeholders. Bachelor’s or Master’s degree in Operations Research, Applied Mathematics, Computer Science , or a related field. ~Proficiency in Python and data science libraries (Pandas, NumPy, SciPy, Scikit-learn). ~ Fluent English (international environment). Experience with data visualization tools and libraries. Knowledge of ETL processes and data cleansing. Experience deploying models on cloud infrastructure (AWS preferred) . Availability to work in a hybrid model (3 days on-site per week in Barcelona) . Agap2 es una empresa que ofrece igualdad de oportunidades, por ello nos comprometemos a tratar todas las candidaturas por igual en función de sus capacidades, logros y experiencia. Animamos a cualquier persona a presentar su candidatura que será tratada con igualdad de oportunidades independientemente de su raza, nacionalidad, sexo, edad, discapacidad, orientación sexual, identidad de género o cualquier otra característica.

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. 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. Being a cloud-native, hybrid or on-premises environment. 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. Collaborate with data scientists, engineers, and business stakeholders to translate requirements into technical solutions. Integrate models into production environments using cloud platforms such as Azure, AWS, or Google Cloud. Contribute to code reviews, documentation, and mentoring junior team members. 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). Master’s degree in Computer Science, Engineering, Data Science, or related field. 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. 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 career path that ensures your professional development and continuous improvement (language courses, management and professional skill training, technical training and certifications).

We are looking for a Senior Optimization Scientist to join a cutting-edge technology project within the aviation and travel sector , working on complex, high-impact optimization problems. Genetic Algorithms, PSO, Simulated Annealing). Data Analysis & Preparation Collect, clean, and preprocess data from multiple sources. Identify patterns and insights to improve optimization model performance. Evaluate and fine-tune optimization algorithms to meet performance and scalability requirements. Perform sensitivity analysis to assess the impact of constraints and parameters. Communicate results, insights, and implications clearly to senior stakeholders. Bachelor’s or Master’s degree in Operations Research, Applied Mathematics, Computer Science , or a related field. ~Proficiency in Python and data science libraries (Pandas, NumPy, SciPy, Scikit-learn). ~ Fluent English (international environment). Experience with data visualization tools and libraries. Knowledge of ETL processes and data cleansing. Experience deploying models on cloud infrastructure (AWS preferred) . Availability to work in a hybrid model (3 days on-site per week in Barcelona) . Agap2 es una empresa que ofrece igualdad de oportunidades, por ello nos comprometemos a tratar todas las candidaturas por igual en función de sus capacidades, logros y experiencia. Animamos a cualquier persona a presentar su candidatura que será tratada con igualdad de oportunidades independientemente de su raza, nacionalidad, sexo, edad, discapacidad, orientación sexual, identidad de género o cualquier otra característica.

NTT DATA is seeking a passionate Data Scientist / Senior Data Scientist to join our AI team. Mentor junior data scientists (for Senior positions) and contribute to a culture of continuous learning and improvement within the team. AWS, Azure, Google Cloud) and their data services, including data stor

Senior Data Scientist to join an international client, based in Barcelona. You will work on challenging projects that require applying advanced metaheuristic techniques to find pseudo-optimal solutions to complex problems. As a Senior Data Scientist, your responsibilities will include: Evaluate and fine-tune optimization algorithms to ensure they meet performance criteria. Perform sensitivity analyses to understand the impact of various constraints and parameters Establish key performance indicators (KPIs) and metrics to track the performance and effectiveness of solutions, conducting regular assessments and making data-driven recommendations for improvement. Degree (Bachelor or Master) in Computer Science, Economics, Engineering, or similar areas. Proficiency in Python and data science libraries (e.g., Pandas, NumPy, Scikit-learn, Scipy), as well as optimization-focused libraries like PuLP, Pyomo, and metaheuristic frameworks such as Mealpy, DEAP and Optuna. Certifications in AI, data science, or project management (e.g., PMP, AWS Certified Machine Learning Specialty) are a plus. Proficiency in English is a must Masters degree in Business Administration or Information Technology, advanced studies in Data Science/Analytics is desirable but not mandatory. _______________________________________________ 1,200 annual training budget to invest in whatever you choose: tech events, books, courses, certifications—your growth, your way. ~ Fully covered private health insurance. ~ Exclusive discounts with top brands. The employee will adhere to information security policies: -Will have access to confidential information related to Capitole and the project they are working on. -

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.

Senior Data Scientist to join an international client, based in Barcelona. You will work on challenging projects that require applying advanced metaheuristic techniques to find pseudo-optimal solutions to complex problems. As a Senior Data Scientist, your responsibilities will include: Evaluate and fine-tune optimization algorithms to ensure they meet performance criteria. Perform sensitivity analyses to understand the impact of various constraints and parameters Establish key performance indicators (KPIs) and metrics to track the performance and effectiveness of solutions, conducting regular assessments and making data-driven recommendations for improvement. Degree (Bachelor or Master) in Computer Science, Economics, Engineering, or similar areas. Proficiency in Python and data science libraries (e.g., Pandas, NumPy, Scikit-learn, Scipy), as well as optimization-focused libraries like PuLP, Pyomo, and metaheuristic frameworks such as Mealpy, DEAP and Optuna. Certifications in AI, data science, or project management (e.g., PMP, AWS Certified Machine Learning Specialty) are a plus. Proficiency in English is a must Masters degree in Business Administration or Information Technology, advanced studies in Data Science/Analytics is desirable but not mandatory. _______________________________________________ 1,200 annual training budget to invest in whatever you choose: tech events, books, courses, certifications—your growth, your way. ~ Fully covered private health insurance. ~ Exclusive discounts with top brands. The employee will adhere to information security policies: -Will have access to confidential information related to Capitole and the project they are working on. -

PhD in Data Science, Computer Science, Statistics, or a related field. 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. Lead the Data Science team and ensure

Take your career to the next level with Amaris Consulting as a Data Analyst & Scientist. Become part of an international team, thrive in a global group with €800M turnover and 1,000+ clients worldwide, and an agile environment by coordinating multi-project operations and supporting PMO excellence. Join Amaris Consulting, where you can develop your potential and make a difference by driving governance, efficiency, and continuous improvement across strategic programs. Envíe su CV y cualquier información adicional requerida después de haber leído esta descripción, haciendo clic en el botón de solicitud. WHAT WOULD YOU NEED? Degree in Data Science, Computer Science, Engineering, Mathematics , or a related field 3+ years of experience in Data Analysis or Data Science roles, ideally within eCommerce, retail, or digital environments Advanced SQL and Power BI skills Familiarity with Snowflake, BigQuery, or Databricks Knowledge of Python for data analysis and modeling (pandas, numpy, scikit-learn) Experience developing analytical and predictive models Ability to work with large datasets in cloud-based environments Business-oriented mindset with the ability to translate data into actionable insights Strong communication skills , able to interact with both technical and non-technical stakeholders Languages: Native Spanish; fluent in English; Catalan considered a plus WHAT WILL YOU DO? Join a centralized Data team supporting multiple eCommerce business areas Analyze, model, and transform data into actionable insights to support business decision-making Focus on eCommerce performance, marketing, and commercial impact Work closely with business stakeholders to define analytics requirements and deliver solutions Develop advanced analyses, dashboards, and predictive models to support strategic decisions Contribute to the evolution of the team by sharing best practices and improving analytical methods Translate complex datasets into clear, actionable recommendations for different areas of the business WHY US? Join our dynamic team of talented people and discover a world full of growth and opportunities. Here’s what we offer: Fast career growth through a personalized career path and salary review. 70% of our senior leaders started in entry-level positions. Enhance your skills through our Technology Academy catalog, Udemy platform, language classes, webinars, and workshops. Take control of your learning with an annual personal budget and company-paid certifications. Enjoy flexible policies, remote work options, and excellent social benefits such as transport and meal vouchers, childcare support, and private health insurance. Benefit from our WeCare program, supporting employees in critical situations. xiphteb Unlock your full potential, both professionally and personally.

We are seeking a Senior Data Scientist/AI Engineer specializing in AI Safety to lead adversarial testing, risk assessment, and safety evaluations for LLM- and agent-powered chatbot systems. This role focuses on ensuring that AI technologies are safe, reliable, and aligned with business and user needs across high impact use cases. You will join a collaborative interdisciplinary team to design, evaluate, and harden AI/ML systems against misuse, failures, and emerging risks. You will work closely with product owners, engineering teams, and business stakeholders to identify safety requirements, conduct adversarial assessments, and develop robust mitigation strategies. This role is highly technical and safety critical, with broad visibility and influence across the organization. Lea el resumen de esta oportunidad para comprender qué habilidades, incluidas las habilidades interpersonales relevantes y el dominio de paquetes de software, se requieren. RESPONSABILITIES AI Safety, Robustness & Risk Assessment Lead adversarial testing, including jailbreak attempts, prompt injection, harmful content generation, system prompt extraction, and agent tool misuse. Conduct end to end risk assessments for AI driven chatbots and autonomous agent systems, identifying hazards, evaluating exposure, and defining mitigation strategies. Build and maintain AI safety evaluation pipelines, including red team test suites, scenario-based evaluations, and automated stress testing. Define and monitor safety KPIs such as harmful output rates, robustness scores, and model resilience metrics. Analyze failure modes (e.g., hallucinations, deceptive reasoning, unsafe tool execution) and design guardrails to minimize risks. Technical Development & Collaboration Develop reproducible experiments for LLM behavior analysis, including prompt engineering, control mechanisms, and guardrail testing. Partner with data engineers and MLOps teams to integrate safety evaluations into CI/CD pipelines. Work with product teams to translate safety requirements into actionable technical specifications. Support model governance, including documentation, safety reports, and compliance with internal and external standards. Contribute to innovation and research around emerging safety methodologies for LLMs and agent architectures. Knowledge Sharing & Leadership Serve as an internal expert on AI safety best practices, adversarial testing methodologies, and robust system design. Provide guidance and mentorship to data scientists, engineers, and product partners on safe AI development. Create high-quality documentation, playbooks, and reusable tools for safety evaluations. QUALIFICATIONS Master’s degree in Computer Science, Data Science, Machine Learning, or related quantitative field. 4+ years of experience developing or evaluating machine learning systems, including LLM- or NLP-based applications. Strong knowledge of Generative AI and Transformer-based models. Experience with at least one deep learning framework (PyTorch, TensorFlow). Proficiency with Python and common data/ML libraries. Experience conducting model evaluations, experimentation, or reliability testing. Clear communication skills and the ability to translate technical findings into business relevant insights. Preferred Qualifications Experience with adversarial ML, red teaming, or AI safety research. Familiarity with safety testing frameworks such as automated red-teamers, harmful content classifiers, or jailbreak detection systems. Hands-on experience with LLM agents, tool-use orchestration, or autonomous systems. Knowledge of risk management frameworks (e.g., NIST AI RMF, ISO 42001) and Responsible AI principles. Experience designing safety guardrails, moderation layers, or policy enforcement mechanisms. Background in reinforcement learning or agent evaluation. xiphteb Experience with cloud platforms (AWS, Azure, GCP) and MLOps workflows.

Lead the Data Science team and ensure the quality, robustness, and business relevance of all deliverables. PhD in Data Science, Computer Science, Statistics, or a related field. The role involves leading Data Science efforts, driving the development and production deployment of advanced AI solutions

Lead the Data Science team and ensure the quality, robustness, and business relevance of all deliverables. PhD in Data Science, Computer Science, Statistics, or a related field. The role involves leading Data Science efforts, driving the development and production deployment of advanced AI solutions

Experience using statistical computer languages to query databases, manipulate data, and draw insights from large data sets. Collaborate with Data Scientists and Machine Learning Engineers to integrate AI solutions into production systems. Minimum of a bachelor's degree in Data Analytics, Data Scien

Buscan un científico de optimización senior para diseñar y aplicar modelos de optimización avanzados en proyectos de aviación y viajes.