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About Our Organization: Dow Jones is a global provider of news and business information, delivering content to consumers and organizations around the world across multiple formats, including print, digital, mobile and live events. Dow Jones has produced unrivaled quality content for more than 130 years and today has one of the world’s largest news-gathering operations globally. It is home to leading publications and products including the flagship Wall Street Journal, America’s largest newspaper by paid circulation; Barron’s, MarketWatch, Mansion Global, Financial News, Investor’s Business Daily, Factiva, Dow Jones Risk & Compliance, Dow Jones Newswires, OPIS and Chemical Market Analytics. Dow Jones is a division of News Corp (Nasdaq: NWS, NWSA; ASX: NWS, NWSLV). About the Role: Dow Jones is seeking a skilled Data Scientist to join our AI Engineering Team. You will design, construct, and maintain machine learning pipelines tailored for various AI applications, particularly focusing on Natural Language Processing. Collaborating with our engineering team, you'll integrate machine learning models, optimize performance, and ensure effective real-world application of machine learning solutions. As a key team member, you will be involved in every aspect of the data science project development process, from data analysis and model selection to building proofs of concept and refining pipelines. You will leverage your expertise in statistical analysis and machine learning techniques to derive insights from data, address the organization's needs, and deliver tangible value through actionable outcomes. You Will: • Collaborate within the AI Engineering Team to maintain robust data pipelines supporting various ML models, focusing on information retrieval applications., • Analyze and clean large datasets to optimize reusable ML models., • Partner with stakeholders across the company to translate business requirements into technical solutions., • Utilize analytical skills for NLP modeling, algorithm selection, and POC development., • Develop data enrichment pipelines to enhance insights aligned with strategic objectives., • Collaborate with cross-functional teams to address the organization's data-driven needs, managing significant volumes of structured and unstructured data., • Integrate diverse ML models into systems, ensuring interoperability and performance optimization., • Lead efforts to optimize ML model performance through data analysis and validation in real-world applications., • Stay updated on AI, ML, and NLP advancements, incorporating emerging trends into processes. You Have: • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related STEM field., • At least 3 years of industrial experience in a data science or machine learning engineering role., • Strong programming skills in Python and/or another high-level language commonly used in machine learning., • Experience with NLP and Machine Learning frameworks and libraries (e.g., PyTorch, HuggingFace, LangChain, spaCy, NLTK, scikit-learn, etc.)., • Demonstrated understanding of various techniques for extracting structured data from unstructured sources, indicating expertise in information retrieval., • Familiarity with LLMs APIs for pre-processing, fine-tuning, and deploying models on cloud-based infrastructure., • Familiarity with cloud-based infrastructure and services (e.g., AWS, GCP, etc.)., • Experience with version control systems such as Git. Our Benefits: • Comprehensive Healthcare Plans for you and your family (paid by Dow Jones), • Extra paid Time Off (30 days of holidays/year), • Possibility to work remotely for 3 months/year (desplazamiento program), • One week of remote work per quarter, • Meal benefit with Pluxee (171€/month on top of your salary), • Retirement Plans (Dow Jones will pay 2% of a members Pensionable Salary and match employee contribution up to a maximum of 3 %)., • Comprehensive Insurance Plans, • Well-being Resources (200 USD allowance per quarter, Classpass, etc.), • Education Benefits, • Family Care Benefits & Caregiving Support, • Subscription Discounts, • Employee Referral Program

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 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. 1. Who we are 🚢 Taizen is building the next-generation AI analytics 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 customer needs. 🎯 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!

(Relocation to Abu Dhabi) ClearPeaks is a specialist consulting firm delivering services and solutions in "Everything Data" - Business Intelligence, Advanced Analytics, Big Data & Cloud, and Web & Mobile Applications. Founded in 2000, we have been a trusted partner to our customers in over 15 industry verticals and functional areas, with operations spanning Europe, Middle East, the United States, and Africa. ClearPeaks is part of a strategic alliance with synvert, a group of six successful full-service Data & Analytics (D&A) consulting firms, with a clear goal to become one of EMEA's largest D&A consulting companies. Our services are based on the latest market-leading enterprise technology platforms, and delivered by a dynamic team of expert consultants. Our strength lies in our ability to efficiently deliver customer insight and value, gained through our decades of experience with real-world challenges. As a Data Scientist, you will be responsible for identifying and implementing AI opportunities. We are seeking a highly talented, self-motivated, and customer-oriented candidate to join us. Responsibilities • Hands-on implementation of Machine Learning use cases, AI agents to automate business workflows, propensity modelling to roll out marketing campaigns, forecasting for demand prediction and assortment optimization., • Deploy, maintain, and monitor AI solutions. Design scenarios, schedule jobs to run batch models or APIs for on-demand serving, • Present to technical and or business stakeholdersPrepare and carry out presentations with the key business stakeholders involved in the projects to show the results of ML models to a non-technical audience and how they bring value to the business., • Gather business requirements from business users, and technically implement them to meet the requirements., • Defining business requirements, Document them, create wire frame, Communicate to Developers, Monitor Development, conduct internal testing and validate every KPI Numbers & Formulas., • Own and develop relationship with partners, working with them to optimize and enhance our integration., • Report on common sources of technical issues or questions and make recommendations to product team., • Communicate key insights and findings to product team. Requirements • 4+ years of prior experience in a Data Scientist role, • Strong Data Engineering skills and software development skills, • Expertise in Python and any one of the associated frameworks (scikit-learn, Tensorflow, PyTorch, h2o, etc.) for ML and DL, • Expertise in the concepts of Statistics, Machine Learning and Agent-based AI, • Knowledge in ML-Ops (deployment of models, model performance monitoring, data drift, rest API integration, simulations, etc.), • At least 3 Machine Learning project implementation experience in production, • Excellent communication and collaboration skills, able to explain complex effects and impacts in simple business terms., • Knowledge of optimization techniques (OR, MIP, ...) is a plus, • Knowledge on DataIku is a plus Our offer to you! • Be part of an international and talented team, enjoying an excellent work environment where people are passionate about what they do., • Possibility to grow inside the team, • 25 vacation days

Job description: 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 Intelligence techniques to drive forward-thinking solutions in a company that's at the forefront of technological advancement. Qualifications: Bachelor's or master's degree in mathematics, Statistics, Informatics Engineering, Economics, or Physics. Courses in Artificial Intelligence, Analytics, Big Data, or similar fields are a plus. Experience: For junior: A minimum of 1 year of experience in Data Science or related fields. For senior: A minimum of 3 years of experience in Data Science or related fields. Skills: • Required:, • Machine Learning, optimization and advanced analytics techniques, • Work with team members across multiple disciplines to understand the data, • Descriptive and exploratory statistics applied to detecting patterns and trends in data., • Advanced knowledge in Python., • SQL and relational databases., • Visualization and communication with clients, mastering tools such as PowerBI, Tableau, Dash, Streamlit, etc., • Valuable:, • Experience using Git, • NLP, Generative AI, Deep Learning, methaeuristic algorithms, • Experience working with cloud platforms (e.g., AWS, Azure, Google Cloud) and their data services, including data storage, processing, and machine learning capabilities., • Big Data technologies: Spark, Big Query, Snowflake, Databricks, etc. Key Responsibilities: • Collaborate with cross-functional teams to understand business needs and translate them into data science projects., • Design, develop, and deploy machine learning models and algorithms to solve complex business problems., • Conduct data analysis and visualization to communicate insights and recommendations to stakeholders., • Stay updated with the latest trends and advancements in data science and AI, and apply them to improve existing processes and solutions., • Mentor junior data scientists (for Senior positions) and contribute to a culture of continuous learning and improvement within the team. Join our dynamic and passionate team at a leading technology and services company! Send in your application and start making your mark on the future of the industry today! At NTT Data, we believe everyone is unique and different, this is why we bet for an inclusive culture that recognizes and values diversity. We work day after day to create an environment in wich we can explore, live and enhance our own singularity. #WeAreAllUnique #YouMakeUsUnique

Senior Data Scientist (LLMs) – Freelance (Pharma industry) We are looking for a Senior Data Scientist to join one of our clients' team (pharmaceutical industry) a full-time freelance basis. This role is an opportunity to contribute to a client project applying advanced machine learning and Large Language Models (LLMs) in a highly impactful sector. Role Overview The Senior Data Scientist will be responsible for: • Developing, fine-tuning, and deploying LLM-based solutions, • Working hands-on with Python and ML frameworks such as PyTorch, TensorFlow, and Hugging Face Transformers, • Designing experiments and evaluation frameworks for generative AI systems, • Ensuring high-quality data processing and scalable pipelines, • Collaborating with cross-functional stakeholders in the client’s team to deliver production-ready solutions Requirements • Proven experience as a Senior Data Scientist, with a focus on LLMs, NLP, and generative AI, • Strong proficiency in Python and modern ML libraries (PyTorch, TensorFlow, Transformers, LangChain, etc.), • Hands-on experience with model development, fine-tuning, and evaluation, • Ability to work independently and manage end-to-end delivery, • Background in the pharmaceutical or life sciences sector is a plus, but not mandatory Contract Details • Location: Barcelona (remote work possible), • Contract: Freelance, full-time until the end of the year, with potential extension, • Start: ASAP If you are an experienced Data Scientist with deep knowledge of LLMs and are available for a freelance role, we would be pleased to discuss this opportunity with you.

The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers. Responsibilities • Analyze raw data: assessing quality, cleansing, structuring for downstream processing, • Design accurate and scalable prediction algorithms, • Collaborate with engineering team to bring analytical prototypes to production, • Generate actionable insights for business improvements Qualifications • Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.), • At least 2 years' of experience in quantitative analytics or data modeling, • Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms., • Fluency in a programming language (Python, C,C++, Java, SQL), • Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau)

Banco Sabadell es el cuarto grupo bancario privado español, integrado por diferentes bancos, marcas, sociedades filiales y sociedades participadas que abarcan todos los ámbitos del negocio financiero bajo un denominador común: profesionalidad y calidad. Un equipo humano joven y bien preparado, dotado de los recursos tecnológicos y comerciales más modernos, y una organización multimarca y multicanal enfocada al cliente permiten a nuestra Entidad ocupar una destacada posición en el mercado en banca personal y de empresas. Ubicación: Sabadell/Madrid/Alicante Actualmente buscamos un profesional proactivo, con visión de negocio y excelentes habilidades interpersonales, que se integre en un equipo dedicado al análisis de la adecuación de diversos modelos de riesgo crediticio en el negocio de particulares de Banco Sabadell. Hablemos del proyecto... Misión Predecir y entender cómo es, qué hace, cómo será y que hará el cliente, repercutiendo en acciones que simplifiquen los procesos de admisión, seguimiento y recuperación incrementando su eficiencia y eficacia ayudando a generar el margen incremental creciente de la Entidad. Funciones: • Revisarás y mejorarás los modelos actuales en función de las directrices de cumplimento normativo interno y externo exigido por los reguladores., • Desarrollarás hipótesis que permitan diseñar y probar experimentos analíticos, con el objetivo de identificar áreas de oportunidad y medir el impacto potencial de nuevas iniciativas., • Desarrollarás e implementarás modelos enfocados a potenciar la creación de negocio mediante metodologías analíticas y de Machine Learning., • Elaborarás la documentación de modelos requerida para su presentación a comités., • Incorporarás las mejoras detectadas por organismos internos o externos., • Participarás en diversos proyectos de la Dirección que afecten a los modelos tanto para la creación de negocio como para anticipar el comportamiento de los clientes. ¿Qué valoramos de tu candidatura? • Dispones de formación en Ingeniería Superior, Economía, Licenciatura de Matemáticas, Estadística, Física o estudios similares., • Se valorarán máster o acreditaciones en entorno Data Science., • Experiencia profesional mínima de 2 años en proyectos relacionados en la calidad y el tratamiento/modelización de datos y la elaboración de informes., • Muy valorable experiencia previa en consultoría., • Dominas SAS, SQL, Programación de marcos VBA y Excel., • Que estés habituado y/o aportes experiencia en gestión de información, análisis de BBDD y elaboración de informes., • Perfil proactivo, con visión de negocio y de trabajo en equipo, apertura al cambio y capacidad analítica., • Se valorarán conocimientos del entorno bancario y de cumplimiento de normativas a nivel europeo, como Basilea III. 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.

About the company We are Stayforlong, and for us travel is not just a means to an end but a journey of extraordinary moments and remarkable discoveries. As firm believers in the enriching power of prolonged stays, we are passionate about nurturing meaningful connections with the places our customers visit. We reward their commitment to the journey with progressively cheaper rates, encouraging them to immerse themselves in the very essence of each destination. We were born in Barcelona out of the need to disrupt an industry dominated by big corporations dictating how we should travel. Since 2015, our commitment has been to empower our customers to break free from the constraints of an oversaturated market. We strive to offer a fresh perspective, giving them, hoteliers and our partners, the flexibility, opportunities and choices they deserve. About the team At Stayforlong we are currently a team of 80 people working in a dynamic and collaborative environment where people have the opportunity to grow and develop professionally. We strongly believe in equal opportunities for everyone, both in the workplace and beyond. We like to create spaces where everyone's ideas are equally valued and heard. We started in a difficult business environment and have grown from there, which is why we admire nonconformists who fight against the odds, refuse to be intimidated, and help others along the way. With our digital DNA, we thrive on challenges, love to think outside the box, and move with the times. Would you like to join us? 👋 Job purpose: We are seeking an autonomous Data Scientist to join our data team to build and test production-ready machine learning models that optimize our marketing operations. You'll focus on developing bidding automation algorithms and revenue optimization solutions. This role offers the opportunity to shape our data science practices while solving complex optimization challenges that can have a high impact on Stayforlong's business performance. Main job responsibilities are: • Build and deploy in production predictive and prescriptive models, • Continuously evaluate our algorithms: From offline to online experiments, • Stay up to date with the latest developments in Machine Learning technologies and Data Science trends, • Mentor junior team members and help define Stayforlong data science/ MLOps best practices, • Your first project: Bidding optimisation, help us optimize our bids in GHA What you will bring: • Degree in a quantitative field (Mathematics, Statistics, Computer Science, Engineering or other quantitative fields)., • 2+ years experience as Data Scientist or ML engineer, • Proven experience building end to end predictive models. from problem definition to productionalization and maintenance. This includes:, • Strong data modeling and SQL skills., • Familiarity with orchestration tools (Airflow, Luigi, Dagster), • Experience using frameworks like Spark, Tensorflow and the already classic libraries like scikit-learn, pandas, etc., • Experience evaluating your algorithms, • Production ML experience with cloud platforms. Nice to have: • Understanding of digital marketing concepts., • Experience working with bidding automation algorithms., • Experience with Applied AI Tools: Demonstrated comfort using coding assistants., • AI Experimentation Mindset: Curiosity and eagerness to explore, experiment with, and integrate emerging AI-driven solutions. What We Offer • 📍 Hybrid model based in Barcelona., • 💼 Permanent contract, full-time., • 🕘 Flexible hours., • 💰 Competitive remuneration + flexible benefits package., • 🧠 Annual budget for training and development., • 🌱 A project with purpose and room to grow as yourself., • 👛 Stayforlong Wallet to experience hotels on our platform. Sign up for our job offer and discover what we can achieve together. We wanna meet you!

¿Buscas un proyecto estable, con impacto real y en un sector dinámico? ¿Eres un/a apasionado/a de la optimización matemática y quieres aplicar tu talento para resolver desafíos complejos? Para una aerolínea europea líder (parte de uno de los mayores grupos de aviación del mundo), buscamos reforzar su equipo de Data Science con un perfil Senior especialista en Optimización. Sobre el Rol: Desarrollarás productos de analítica avanzada con modelos de optimización matemática que serán clave en la toma de decisiones de áreas críticas del negocio. No solo modelarás la solución, sino que la llevarás a producción y la mantendrás, colaborando estrechamente con equipos de ingeniería y TI. Responsabilidades: • Desarrollar productos de analítica avanzada., • Modelar soluciones de optimización matemática., • Llevar las soluciones a producción y mantenerlas., • Colaborar con equipos de ingeniería y TI. Calificaciones: • Formación en Física, Matemáticas, Ingeniería con un Máster o PhD en Matemática Aplicada, Investigación Operativa o campo similar. Habilidades Requeridas: • +2 años de experiencia modelizando y resolviendo problemas de optimización con métodos exactos y heurísticos., • Dominio avanzado de Python (Pandas, POO)., • Experiencia con solvers de optimización como CPLEX o Gurobi., • Experiencia con procesos ETL, queries SQL y entornos Cloud., • Nivel de inglés intermedio-alto., • Disponibilidad para trabajar en un modelo híbrido con 1 día presencial semanal en oficinas ubicadas en la provincia de Barcelona. Lo que ofrecemos: • Flexibilidad real: Modelo de trabajo híbrido mayoritariamente remoto (1 día presencial semanal)., • Conciliación: Jornada intensiva los viernes y durante los meses de verano. Horario de entrada flexible., • Estabilidad y crecimiento: Formarás parte de una compañía sólida con una trayectoria robusta y un plan de crecimiento claro. ¿Te apasiona resolver puzzles complejos y ver cómo tu trabajo tiene un impacto tangible? ¡Esta es tu oportunidad!Contacta conmigo y envíame tu CV o perfil de LinkedIn para conocer todos los #DataScience #Optimization #DataScientist #Python #OperationsResearch #MathematicalOptimization #OfertaDeEmpleo #TechJobs #Barcelona #HybridWork #Aviation

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.

Accenture is a leading global professional services company, providing a broad range of services at scale in Strategy & Consulting, Interactive, Technology and Operations, with digital capabilities across all off these services. Combining unmatched experience and specialized skills across more than 40 industries and all business functions – underpinned by the world’s largest delivery network – Accenture works at the intersection of business and technology to help clients improve their performance and create sustainable value for their stakeholders. With approximately 373,000 people serving clients in more than 120 countries, Accenture drives innovation to improve the way the world works and lives. Visit us at . Come and work at the heart of change We are looking for a Data Scientist. A talented, fun, collaborative person willing to bring added knowledge to our Applied Intelligence team. If you thrive working with top clients in the evolution of their data & AI journey… then, we’d like to meet you! Your role: What responsibilities will you have? Data&AI consultant will combine delivery team leadership and delivery execution, combining with active participation in commercial proposals. What skills & experience are we looking for? Basic Qualifications · Bachelor’s / Masters or MBA’s degree · Proficient in English (written and oral) · Minimum of 3 years working in Data&AI or related business transformation · Minimum of 3 years in strategy or management consulting Soft Skills · Exceptional presentation skills – ability to convey technology and business value propositions · Excellent communication (written and oral) and interpersonal skills · Excellent leadership and management skills · Strategic Thinking, Proactivity and Curiosity Strategical skills: · Ability to understand the new digital challenges, understand industrial & business context and develop strategic solutions regarding Data&AI, including Generative AI · Working as data scientist transforming analytical outcomes into business insights Technical Skills · Advanced Data Analytics Techniques: Proficient in machine learning, deep learning and Generative AI. · Programming Proficiency: Strong programming skills in languages such as Python, with the ability to write, optimize, and troubleshoot code for data analysis and model development. · AI Model Deployment and Integration (MLOps): Experience in deploying models into production environments and integrating them into existing business processes, ensuring seamless implementation of AI solutions. · Data Ethics: In-depth understanding of ethical considerations in handling and analyzing sensitive information, ensuring compliance with regulatory standards. What’s in it for you: Join the Artificial Intelligence Team for a challenging and rewarding career where the variety of opportunities and projects allows you to develop your potential and grow professionally every day. The only place where you can learn from our unrivalled experience, working alongside over 100 data scientists and Data Engineers, 20% of which are PhD’s in the areas of Mathematics, Computer Science, Physics or Statistics. At Accenture, a company recognized as a Great Place To Work®, we are committed to a hybrid work model that, thanks to technology and our facilities, allows us to maintain the essential human connection to work with our teams and clients. This connection enables us to uphold our culture of inclusion and diversity and to be, according to Refinitiv, the most diverse company in the world. Additionally, we offer you other benefits such as: • Medical, Life, and Accident Insurance, • Medical service and wellness programs, • Flexible compensation program and stock purchase plan, • Flexibility programs (scheduling, days off, vacations...), • Individualized training itinerary, • Sustainability programs and Accenture Foundation, • Employee network for diversity, • Other benefits: Bankinter office with special conditions and profit sharing

🚀 We're Hiring: Machine Learning Engineer (MLE) We are looking for a Senior Data Scientist / Machine Leanring Engineer to join our team. You will work on a IT sector, developing models and conducting data analysis. Your role will be crucial in all phases of the predictive model lifecycle, from data collection and cleaning to deployment in production. 📍 Location: Hybrid in Barcelona 👩 💻 Experience: 3–4 years in Machine Learning or Data Science 🌍 Language: English fluency required (team communication is in English) 🔧 Key Responsibilities • Develop and implement ML models, particularly in the NLP or GenAI space, • Write clean, modular, and efficient Python code following best practices, • Collaborate with MLEs / Data Scientists and cross-functional teams to move models into production, • Support data processing and feature engineering efforts, • Develop machine learning models and data processing pipelines., • Analyze, clean, and handle complex data., • Evaluate the performance of existing models and solutions., • Develop and deploy models in the cloud., • Mentor the team., • Create new solutions and approaches., • Engage in critical thinking and deep analysis of challenges. 🧰 Tech Stack • Python (advanced, structured coding) and SQL., • Databricks, pandas, scikit-learn, PyTorch, or similar libraries, • Experience with NLP and/or Generative AI (LLMs) is highly valued, • Predictive models., • Cloud platforms (Azure, AWS)., • Document models and data analysis., • Experience working with Scrum/Agile methodologies. 🎁 What’s in it for you? 💰 €1200 individual training budget for languages, certifications, books, and more ⏰ Flexible hours and hybrid work model in beautiful Barcelona 🧘 Flexible benefits package & discounts at gyms through Wellhub 🏥 Private health insurance — fully paid by us! 🔄 Monthly feedback & growth sessions with your Team Lead 🎉 Bi-monthly team buildings — yes, including pool parties & epic Christmas dinners! 🌍 Access to Club Capitole: exclusive discounts on global brands 🤝 Join our internal Tech Communities and exchange knowledge with brilliant minds Information Security Policy: Access to confidential information related to Capitole and the project you're working on. Compliance with security policies and internal policies of the company and the client. Must sign an NDA.

Estamos buscando un/a Senior Data Scientist especializado en Natural Language Processing y Large Language Models para unirse a nuestro equipo de Data&Advanced Analytics. Formarás parte del equipo que da forma a la inteligencia, estrategia y arquitectura de datos de Mango. El equipo de Advanced Analytics desarrolla algoritmos de Inteligencia Artificial dirigidos a optimizar los procesos y decisiones más desafiantes dentro de la industria del retail. El equipo de Advanced Analytics de Mango está formado por Data Scientists, Big Data Engineers, Machine Learning Engineers, Deep Learning Researchers e Software Engineers que trabajan juntos en squads multidisciplinares para desarrollar algoritmos de aprendizaje automático de calidad de vanguardia aprovechando la última tecnología en plataformas de Big Data y computación distribuida. Cada una de los squads de análisis avanzado tiene como objetivo desarrollar y evolucionar algoritmos de aprendizaje automático para hacer frente a algunos de los principales retos técnicos y empresariales de Mango: • Generative Artificial Intelligence squad: Equipo transversal responsable de impulsar iniciativas innovadoras relacionadas con algoritmos generativos (texto, imagen, video, etc) en el cual se incorporará la persona seleccionada. Este squad ha liderado el desarrollo de la plataforma de IA basada en LLM para los casos de uso internos. Además, es responsable de impulsar la transformación que se está llevando a cabo en los procesos creativos empleando modelos de IA de generación de imágenes. Este equipo realizará investigación de los diferentes algoritmos disponibles para evaluar su madurez y utilidad dentro de Mango para llevar a cabo pruebas de concepto y su posterior puesta en producción., • Personalization Squad: Desarrollar algoritmos de Inteligencia Artificial para proporcionar una experiencia personalizada a los clientes del sitio web y de la App de Mango, incluyendo recomendaciones de producto, ajuste y tamaño, aprovechando las capacidades de despliegue en tiempo real y el flujo de clics en tiempo real., • Pricing and Mark-Down Squad: Desarrollar algoritmos de aprendizaje automático que determinen las promociones y descuentos óptimos para optimizar el margen de la empresa durante el periodo de ventas., • Purchasing/Production Squad: Desarrollar algoritmos de ciencia de datos para la detección temprana de best-sellers y para determinar cuántas unidades de cada producto y talla debe fabricar Mango durante la planificación de la temporada. Debido a la relevancia de los proyectos de Mango Advanced Analytics, cada squad tiene visibilidad y presentaciones a nivel de junta directiva. ¿CÓMO ES NUESTRO EQUIPO? En Mango nos inspira y une nuestra pasión por el estilo y la cultura. Estamos presentes en 118 países y nuestra presencia online se extiende a más de 80 países. Nuestro equipo está formado por personas de 112 nacionalidades, de las cuales el 80% son mujeres. Somos un equipo muy dinámico, motivado por las nuevas tecnologías, con pasión por lo que hacemos y ganas de asumir grandes retos que nos permitan seguir creciendo y aportando valor a través de los datos. ¿QUÉ HACE UN DATA SCIENTIST EN MANGO? Como Data Scientist especializado en NLP y LLM formarás parte del equipo que trabaja en la investigación definición, experimentación, prototipado y puesta en producción de soluciones innovadoras basadas en algoritmos generativos de última generación. En tu día a día… • Trabajarás con modelos de Deep Learning complejos como los Large Language Models (LLM) para abordar múltiples casos de uso. Definirás y llevarás a cabo experimentos para realizar el entrenamiento o fine tuning de estos modelos de acuerdo con las necesidades de cada caso de uso., • Trabajarás con una gran variedad de datos (estructurados y no estructurados), definiendo las fuentes de datos relevantes y preparando el set de datos necesario para entrenar los modelos de Deep Learning., • Implementarás el prototipo de soluciones con algoritmos de Deep Learning para validar la viabilidad técnica y la calidad de los resultados con los equipos de negocio., • Estarás conectado a los últimos desarrollos en Deep Learning e invertirás tiempo en traer nuevos algoritmos a Mango. Evaluaras modelos de diferentes tipos para evaluar la calidad de las soluciones y su posible utilidad. ¿QUÉ ESPERAMOS DE TI? • Experiencia en el desarrollo de proyectos de data scientist con corpus de textos empleando técnicas clásicas de NLP y modelos de Deep learning como LSTM o BERT. Se valorará la experiencia entrenando o haciendo fine tuning de LLM en casos reales., • Experiencia en prototipar soluciones software basadas en Machine Learning y capacidad para definir la experimentación necesaria en este tipo de proyectos. Se valora positivamente haber liderado el desarrollo end-2-end de un proyecto desde la fase de prototipo hasta la puesta en producción y mantenimiento., • Experiencia en el uso de librerías enfocadas a Deep Learning como Tensorflow o PyTorch., • Al menos 4 años de experiencia desarrollando en Python, u otro lenguaje orientado a objetos., • Se valora positivamente el conocimiento de la teoría en la que se basan los modelos de Deep Learning, así como de las mejores prácticas en su entrenamiento y puesta en producción., • Se valora positivamente las publicaciones en revistas científicas y congresos sobre Machine Learning., • Se valora muy positivamente el interés en buenas prácticas de programación y desarrollo de software: tests, automatizaciones, construyas pipelines en CI, etc., • Se valora haber trabajado con servicios cloud (Azure, AWS, Google Cloud)., • Persona comprometida, proactiva, curiosa, con ganas de innovar, y una mentalidad hands-on. ¿QUÉ NOS HACE ESPECIALES? • Incorporación inmediata con contrato indefinido., • Ofrecemos horario flexible (puedes entrar de 8 a 9.30 y salir de 17 a 18.30) con jornada intensiva todos los viernes (puedes entrar de 8 a 9 y salir de 14 a 15) y la mayoría de las vigilias de festivos, • Nuestras oficinas se encuentran en Palau- Solita i Plegamans., • Posibilidad de teletrabajo en un 50%., • 25% de descuento en todas nuestras líneas, • Te podrás formar a nivel técnico en plataformas como O'Reilly, entre otras, así como en idiomas, y en habilidades para tu desarrollo personal. Te acompañamos para que sigas creciendo a nivel profesional y personal!, • Política de referrals, podrás participar en la incorporación de talento a nuestros equipos, ¡y te recompensaremos por ello!, • Transporte gratuito de empresa desde Barcelona y el Vallès para llegar a nuestras oficinas centrales, • Servicio de fisioterapia en las oficinas centrales, así como sala de fitness y vestuarios por si te gusta hacer deporte en tu tiempo libre, • Workshops, meetups, comunidades de prácticas, team buildings y company meetings, • Paquete de retribución flexible con ventajas fiscales: seguro médico, formación, descuento comedor, guarderías etc, • Servicio de comedor y cocina en las instalaciones de la central. La empresa subvenciona parte del menú diario, así como los artículos de cafetería., • Servicio médico propio en las instalaciones de la central., • Formarás parte de una empresa líder en el sector de la moda, dinámica, en plena innovación, con gran concienciación y realizando acciones hacia la sostenibilidad, • Ambiente de trabajo cercano, inspirador y ambicioso, trabajarás con un gran equipo que va en la misma dirección para conseguir los mejores resultados, • Oportunidades constantes de desarrollo con retos muy variados que generan aprendizaje en el puesto de trabajo You got it? We like you!

Únete a nosotros y forma parte del futuro de BCNC Group! Somos una empresa de ingeniería y tecnología con operaciones en España, Reino Unido, Alemania, Francia y Suecia. Trabajamos con las multinacionales más prestigiosas de Europa ayudándoles a implementar sus proyectos estratégicos. #WeHaveOurOwnCode Buscamos un/una Senior Data Scientist, con al menos 4 años de experiencia en la posición, que quiera unirse a nuestro equipo. Qué harás en tu día a día: • Desarrollar, implementar y evolucionar productos basados en modelos de optimización matemática, trabajando de la mano con Data Engineers, IT y usuarios de negocio., • Diseñar soluciones que lleguen a producción, generando impacto real en la toma de decisiones estratégicas y operativas., • Participar en sesiones con unidades de negocio para entender requerimientos y restricciones reales., • Diseñar soluciones basadas en optimización matemática ajustadas a las necesidades., • Explorar y probar diferentes formulaciones hasta encontrar la más eficiente., • Integrar los modelos en productos y llevarlos a producción., • Mantener un contacto continuo con usuarios para ajustes y mejoras., • Trabajar en un entorno ágil bajo la metodología SCRUM. Qué esperamos de ti: • Experiencia demostrada en optimización matemática (mín. 2 años)., • Formación técnica en: Matemáticas Aplicadas, Física, Ingeniería con Máster en Matemáticas Aplicadas o similares, • Dominio de Python (pandas, programación orientada a objetos...)., • Experiencia con solvers comerciales (CPLEX, Gurobi…)., • Conocimientos en ETL y queries., • Experiencia en entornos Cloud., • Idiomas: Inglés medio-alto., • Deseable: Conocimiento profundo en algoritmos de optimización entera (Branch & Bound, cutting planes, etc.) y con problemas de gran escala (descomposiciones, relajaciones, reformulaciones...). Que tenemos para ti: • Contrato indefinido: en una compañía de tecnología e ingeniería 100% digital., • Teletrabajo: 1 día a la semana en oficina (zona sur de Barcelona)., • Flexibilidad real: Un horario flexible de entrada/salida para que seas tu quien gestione su tiempo de la manera óptima., • Innovación: Proyectos retadores con tecnologías de vanguardia., • Formación: Un programa de formación personalizado y alineado en lo que más te apasione. Acceso a distintas plataformas educativas: Udemy, Openwebinars, entre otras que surjan a partir de tus necesidades e intereses., • Desarrollo profesional: Un modelo de talento donde podrás evolucionar a través de la experiencia, logros y habilidades que irás adquiriendo dentro de BCNC Group., • Vacaciones: contarás con 23 días laborables de vacaciones + 2 días (24 y 31 de diciembre por convenio) y porque no todo es trabajo, todos los viernes del año y verano (julio y agosto) de jornada intensiva., • Plan de referidos: Si, tus recomendaciones cuentan y cada vez que se incorpore a BCNC Group una persona que referencies recibirás una compensación económica por ello., • Y sobre todo… un buen entorno laboral: ¡nuestros colaboradores puntúan un 4.7 sobre 5 su experiencia en BCNC Group! ¡Si estás buscando desarrollar tu carrera profesional en un entorno estimulante y desafiante, BCNC Group es el lugar para ti!

Au sein de notre bureau espagnol, nous sommes à la recherche de notre prochain Senior Talent Acquisition Specialist pour accompagner notre croissance. Rattaché(e) à notre Team Leader et en lien avec nos commerciaux basés à Paris et l'Ile Maurice, tu participeras activement à la sélection et aux placements de consultants FINANCE et IT chez nos clients. Tes principales missions : • S’approprier le besoin du client (développeur web, consultant SAP, data scientist, devops …)., • Identifier et mettre en œuvre les méthodes et canaux de sourcing adéquats par rapport au profil recherché (sites spécialisés, réseaux sociaux…)., • Rédiger les offres de missions de manière attractive et les publier sur nos outils., • Mettre en place une stratégie de communication digitale sur les réseaux sociaux., • Réaliser les entretiens de qualification par téléphone ou visio et négocier les tarifs des consultants., • Rédiger des comptes-rendus d’entretiens., • Enrichir notre vivier de consultants. Profil recherché Diplômé(e) d’un bac +3 minimum, tu es doté(e) d’une forte appétence commerciale, tu es motivé(e) par le challenge et par l’atteinte des objectifs. Tu as idéalement une première expérience dans le recrutement. Tu es agile, flexible et intéressé par les métiers de la vente et de l’informatique. Curieux et proactif, tu as soif d’apprendre et tu es prêt à poser des questions. Dynamique, tu as un très bon relationnel et tu as le contact facile. Tu as l’esprit d’équipe et tu sais t’adapter aux méthodes de travail collaboratives. Tu as une parfaite maîtrise du français et de l’anglais (écrit et oral). Nous travaillons sur le marché français et sur des marchés anglophones. Pourquoi nous rejoindre ? Déjà bien implanté sur le marché français et anglais, nous connaissons une croissance phénoménale et allons nous développer à l’international Tu feras partie d’une équipe soudée, motivée autour d’un objectif commun Tu travailleras dans une ambiance conviviale, détendue et avec du matériel moderne et de qualité Tes idées seront prises en compte par un management à l’écoute Tu auras de belles perspectives d’évolutions et des collaborateurs qui prendront le temps de te former Si tu as le goût du challenge, que tu souhaites rejoindre une jeune société en pleine expansion, et faire partie des premiers dans l’aventure alors n’hésites pas à nous faire parvenir ton CV ! Déroulement des entretiens 1er entretien avec notre RH 2ème entretien avec la team leader 3ème entretien avec le responsable Hub Sourcing

En Strategy Big Data nos encontramos en la búsqueda de personas entusiastas, proactivas y que sean capaces de entender las necesidades del negocio. Actualmente tenemos abierta una vacante para un Data Scientist. Requisitos imprescindibles: • Experiencia de al menos 2 años como científico de datos en entorno Big Data, • Experiencia en la elaboración de modelos de Machine Learning (principalmente árboles de decisión) y Deep Learning, • Experiencia en desarrollo de soluciones de IA Generativa con distintos LLMs / SLMs, • Conocimientos en NLP, • Programación en Python con dedicada preocupación por la calidad legibilidad y el testing.., • Desarrollo end to end de los modelos, desde la comprensión del caso de uso de negocio, enfoque a aplicar con IA, hasta la obtención y mejora de resultados que sean accionables por negocio., • Experiencia en Cloud, preferentemente AWS o Google., • Experiencia en BBDD SQL., • Conocimiento de trabajo en desarrollo contra repositorios tipo Git., • Habilidades blandas de coordinación y comunicación., • Nivel C1 de inglés. Características deseables: • Programación en Rust., • Diseño y programación de algoritmos basados en datos desde 0, • Conocimientos de contenerización de aplicaciones y/o creación de librerías python., • Experto en APIs de DataFrames con preferencia polars, pandas y pyspark., • Notas globales altas en carreras técnicas., • Diseño de prompting y derivados para trabajar con inteligencia artificial generativa. ¿Qué ofrecemos? • Beneficios sociales (tickets restaurante + seguro médico)., • Proyecto en remoto., • Salario competitivo en función de la experiencia aportada en el puesto., • Incorporación a un grupo con más de 130.000 profesionales, distribuidos a lo largo de 39 países, aprendizaje continuo., • Buen ambiente de trabajo junto a compañeros que son altamente cualificados en sus tecnologías y de los que aprenderás cada día., • Salario competitivo en función de la experiencia aportada en el puesto., • Horario Flexible. ¡Strategy Big Data es tu sitio para afrontar nuevos desafíos!

Bluetab, an IBM Company 🚀 – ¡Certificados como Great Place to Work y Best Work to Place! 🏆 Como una de las mejores compañías para trabajar, somos una compañía techie que se ha posicionado como el brazo fuerte de IBM en Data, Cloud, ML & IA 💻🌐. Trabajamos con empresas clave de diversos sectores para acelerar y optimizar sus estrategias en plataformas de datos y en la nube 🌥️, sacando al máximo las ventajas de su arquitectura y entornos de desarrollo. 🔥 Nos posicionamos como agnósticos de la tecnología, apostando por la innovación de los grandes hyperscalers 💡✨. Dentro de nuestra línea estratégica de Augmented Analytics, estamos en busca de apasionados/as de la Analítica Avanzada (IA & ML) para participar en proyectos nacionales e internacionales 🌍, donde podrás ponerte a prueba al máximo 🏅. Rodearte de la creciente Comunidad de Augmented Analytics al más estilo Bluetab será una experiencia única 📈🙌. 💡 ¿Te apasiona la inteligencia artificial, los modelos predictivos y transformar datos en valor real? Si buscas un reto en el que tus algoritmos tengan impacto en proyectos innovadores, ¡ésta es tu oportunidad! Queremos sumar a nuestro equipo un Senior Data Scientist con experiencia consolidada en Machine Learning, AI y MLOps, capaz de diseñar y desplegar modelos de alto rendimiento en entornos Cloud. 💻 ¿Cómo será tu día a día? 🔹 Diseñar y entrenar modelos avanzados de Machine Learning y Deep Learning, asegurando precisión y escalabilidad en producción. 🔹 Implementar técnicas de procesamiento de datos, NLP, Computer Vision y series temporales, según la naturaleza del proyecto. 🔹 Construir pipelines de datos eficientes para alimentar modelos con volúmenes masivos de información. 🔹 Aplicar MLOps para versionado, monitoreo y despliegue automatizado de modelos en entornos Cloud. 🔹 Colaborar con equipos de ingeniería y negocio para traducir necesidades en soluciones basadas en datos. 🔹 Trabajar con herramientas de última generación como Databricks, MLflow y Spark para optimizar flujos de datos y modelos. 🔹 Innovar con técnicas de explainable AI (XAI), feature engineering y optimización de hiperparámetros para mejorar la interpretabilidad y rendimiento de los modelos. 🛠️ ¿Qué necesitas para brillar en este rol? ✅ +4 años de experiencia en Data Science, AI y modelos de Machine Learning aplicados a negocio. ✅ Dominio en Python y librerías como Scikit-Learn, TensorFlow, PyTorch y XGBoost. ✅ Experiencia con SQL y bases de datos relacionales/NoSQL para extracción y manipulación de datos. ✅ Conocimientos sólidos en Cloud Computing (Azure, AWS o GCP) y en plataformas como Databricks. ✅ Habilidad para desarrollar y optimizar pipelines de datos escalables en entornos distribuidos. ✅ Experiencia en MLOps, integración y despliegue de modelos con CI/CD, Docker y Kubernetes. ✅ Pasión por la resolución de problemas complejos, pensamiento analítico y enfoque en la mejora continua. Ahora viene lo bueno por ser bluetaber… ¿Qué ofrecemos? • Contrato indefinido y un salario acorde al rol y de mercado competitivo (el salario se relaciona en función de las competencias y conocimientos técnicos detectados en el proceso y rol asignado para el puesto con ese stack tecnológico (Reference Technician), procurando respetar el sentido de equidad con la plantilla y siendo susceptible de mejora tras las evaluaciones continuas de desempeño)., • La pregunta estrella. ¿Teletrabajo? Sí, Teletrabajo flexible. A tu entera disposición tendrás también la sede de Madrid y/o los Hubs de Alicante, Barcelona, Bilbao y Málaga según ubicación (y con muy buenas conexiones), como centros de pertenencia., • Horarios flexibles de entrada/salida, adaptado a tus necesidades personales y jornada intensiva los viernes y los meses de verano, julio y agosto., • 23 días de vacaciones., • Tarjeta restaurant como beneficio social más allá del salario., • Seguro médico & póliza dental con una amplia cobertura también como beneficio social más allá del salario., • Disponibilidad además de plan de retribución flexible: Transporte + Guardería., • Formación continua gamificada a través del plan rewards, con más de 1000 cursos y certificaciones oficiales., • Además, tendrás a tu alcance el programa Career Coach para acompañarte en todo lo relativo a tu desarrollo y crecimiento dentro de Bluetab, con un sistema objetivo de evaluación continua.¡Tú serás el dueño de tu crecimiento!, • Regalo de cumpleaños. Tarjeta Amazon por importe de 50€ para que sea un día especial. Consideramos que la diversidad es enriquecedora y queremos velar por la inclusión e igualdad de oportunidades, por lo que contamos con un Plan de Igualdad y un Código Ético que recoge estos principios para garantizar la no discriminación de nuestras colaboradoras y colaboradores por cuestión de raza, color, nacionalidad, origen social, edad, sexo, estado civil, orientación sexual, ideología, opiniones políticas, religión o cualquier otra condición personal, física o social. Si te apasiona la tecnología y quieres disfrutar en un entorno innovador y 100% tecnológico, Bluetab, an IBM Company es tu sitio. ¡Te esperamos! #wearehiring #bluetabanibmcompany #bluetaber #boostyourtalent

About Our Organization: Dow Jones is a global provider of news and business information, delivering content to consumers and organizations around the world across multiple formats, including print, digital, mobile and live events. Dow Jones has produced unrivaled quality content for more than 130 years and today has one of the world's largest news-gathering operations globally. It is home to leading publications and products including the flagship Wall Street Journal, America's largest newspaper by paid circulation; Barron's, MarketWatch, Mansion Global, Financial News, Investor's Business Daily, Factiva, Dow Jones Risk & Compliance, Dow Jones Newswires, OPIS and Chemical Market Analytics. Dow Jones is a division of News Corp (Nasdaq: NWS, NWSA; ASX: NWS, NWSLV). About the Role: Dow Jones is looking for an experienced Lead Data Scientist to guide and enhance the core data science capabilities within the Dow Jones AI Engineering Team and our Commercial Tech team. You will take ownership of designing, constructing, and maintaining machine learning pipelines tailored for multiple AI applications, with a focus on Natural Language Processing. You will oversee the data science project development lifecycle, from data analysis and model selection to developing proofs of concept and refining pipelines. You Will: • Lead collaboration within the AI Engineering Team to maintain and optimize robust data pipelines supporting multiple ML models, with a focus on information retrieval and AdTech applications., • Engineer scalable, high-performance machine learning solutions, using modern modeling techniques, rigorous testing methodologies, and early validation on targeted user cohorts., • Guide strategic decision-making by drawing meaningful insights from large datasets, defining key metrics, and developing relevant solutions to address business challenges., • Partner with cross-functional teams to translate business requirements into technical solutions, ensuring alignment with strategic objectives., • Lead the integration and deployment of diverse ML models into production systems, ensuring interoperability, performance optimization, and real-world effectiveness., • Mentor junior team members, promoting collaboration, knowledge sharing, and professional development, while contributing to strategic decision-making to enhance the AI capabilities of the team., • Stay ahead of AI, ML, and NLP advancements, incorporating new trends to enhance processes and model performance., • Identify and scope new data programs, asking thoughtful questions, diagnosing the primary business problems, and developing long-term, impactful solutions. You Have: • 7+ years of industry experience in data science or machine learning engineering, with experience leading projects and mentoring teams., • Expert-level programming skills in Python or another high-level language commonly used in machine learning., • Expertise in NLP and Machine Learning frameworks and libraries (e.g., PyTorch, HuggingFace, LangChain, spaCy, NLTK, scikit-learn)., • Experience with information retrieval techniques and structured data extraction from unstructured sources., • Hands-on experience with LLM APIs for pre-processing, fine-tuning, and deploying models on cloud-based infrastructure (AWS, GCP)., • Proficiency in containerization and orchestration technologies such as Docker and Kubernetes for scalable ML solutions., • Demonstrated ability to drive impact in AI-driven applications such as document analysis, classification, summarization, translation, personalization, and chatbots. Our Benefits • Comprehensive Healthcare Plans for you and your family (paid by Dow Jones), • Extra paid Time Off (30 days of holidays/year), • Possibility to work remotely for 3 months/year (desplazamiento program), • One week of remote work per quarter, • Meal benefit with Pluxee (171€/month on top of your salary), • Retirement Plans (Dow Jones will pay 2% of a members Pensionable Salary and match employee contribution up to a maximum of 3 %)., • Comprehensive Insurance Plans, • Well-being Resources (200 USD allowance per quarter, Classpass, etc.), • Education Benefits, • Family Care Benefits & Caregiving Support, • Subscription Discounts, • Employee Referral Program, • These benefits can be reviewed at any moment by the company #Hybrid Reasonable accommodation: Dow Jones, Making Careers Newsworthy - We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. EEO/AA/M/F/Disabled/Vets. We strongly encourage applications from all qualified individuals, including women, people with disabilities, and those from underrepresented groups. Dow Jones is committed to providing reasonable accommodation for qualified individuals with disabilities, in our job application and/or interview process. If you need assistance or accommodation in completing your application, due to a disability, email us at . Please put "Reasonable Accommodation" in the subject line and provide a brief description of the type of assistance you need. This inbox will not be monitored for application status updates.

ABOUT STRANDS Join the team, make an impact! Would you like to work for a robust, established, leading international Fintech? Strands is a fintech company with almost 20 years of experience in Open Finance, Machine Learning, and AI . Our mission is to enhance customer engagement for financial institutions . As a part of the CRIF group of companies , we are committed to creating highly-personalized digital money management solutions that help people to better manage their lives and their businesses , and to make better financial decisions We, at Strands, are committed to create cutting-edge products that meet the needs of the financial sector, and talent is essential to achieve this goal. We are looking for passion, creativity, and commitment . ABOUT THE ROLE If you are seeking for a mission-critical role where you get to combine your data analysis, data modelling, machine learning and data visualization for storytelling expertise with business challenges, being a key member of our Barcelona Office, Strands is waiting for you! As an experienced Data Scientist, you will help to develop the product vision by working closely with Managers, C-level, stakeholders and clients to execute such vision by cooperating with a team of talented engineers.

Job Title: Data Scientist Location: Barcelona, Spain Must be on-site on weekly basis 2 to 3 days a week Start Date: October 2025 Duration: Until August 2027 , possible extension Language: Spanish Skills: Years of experience in similar positions. Experience in developing predictive models and working with optimisation problems with demonstrable success. High level of Python, Spark, and Git. Familiarity with CICD tools such as Jenkins and orchestration tools such as Airflow. Experience with one of the major cloud providers, preferably AWS. If you are interested, send me your CV to and let's talk on the phone. If not, share it with your network and earn a referral bonus!

¿Te gustaría trabajar en una de las empresas más prometedoras del sector tecnológico en España? ¡Cafler es tu oportunidad! La plataforma que simplifica el cuidado de tu vehículo. Somos una empresa de alto crecimiento en España que ofrece movilidad delegada para gestionar tus necesidades relacionadas con tu vehículo de manera eficiente, sostenible y segura, y a un precio muy competitivo. Con nuestra plataforma, puedes cubrir cualquiera de tus necesidades vehiculares (servicios a demanda, seguros, aparcamiento, etc.) con solo un clic. A través de conductores especializados y el uso de nuestra propia tecnología inteligente, Cafler facilita tu vida para que puedas disfrutar de tu tiempo libre. Estamos buscando revolucionar toda la industria automotriz a nivel mundial. En solo 3 años hemos crecido a más de 250,000 servicios, en 3 países (España, Reino Unido, Francia) y trabajando con marcas de renombre como Volkswagen, Hertz, Renault, etc. Nuestros principales inversores son: Seaya Ventures, BStartup (Banco Sabadell) y Encomenda Smart Capital. Nuestra visión es reinventar la movilidad en una realidad en la que perder tiempo por necesidades de movilidad es impensable Role mission: Definir y ejecutar la estrategia de datos de Cafler, liderando al equipo de Data y asegurando la calidad, gestión y disponibilidad de la información. Colaborar con diferentes áreas para desarrollar soluciones basadas en datos, habilitar analítica avanzada y apoyar proyectos de inteligencia artificial que impulsen el crecimiento y la innovación del negocio. What are you going to do: • Liderar la estrategia de datos dentro de Cafler, asegurando la calidad, disponibilidad y gobernanza de la información., • Desarrollar y mantener la infraestructura de datos que soporte nuestras plataformas (SaaS Taller, Marketplace, App Drivers, etc.)., • Crear dashboards e informes que permitan a todo el equipo tomar decisiones basadas en datos y convertir a Cafler en una compañía data-driven., • Dar soporte en la implementación de soluciones de AI, asegurando que los datos estén preparados y listos para proyectos de automatización, predicción y optimización de negocio., • Al menos 3- 5 años de experiencia en roles de Data (Data Engineer, Data Analyst, Data Scientist o similar) con evolución hacia liderazgo., • Experiencia probada en data modeling, ETLs, BI tools y gestión de pipelines de datos., • Conocimiento sólido de SQL, Python y frameworks de big data (Spark, Hadoop, etc.)., • Experiencia en modelado predictivo / ML aplicado a negocio (es un plus)., • Capacidad de trabajar con equipos multidisciplinares y convertir necesidades de negocio en soluciones basadas en datos., • Experiencia en gestión de proyectos de datos y en la coordinación de equipos pequeños., • Unirte a una posición en una de las empresas de movilidad de más rápido crecimiento en Europa, liderando la disrupción de toda una industria., • Ambiente de trabajo joven y dinámico. Forma parte de un equipo con ganas de innovar., • Horario flexible (entrada entre las 8:00 y las 10:00) y salida entre las (17:00 y las 19:00)., • Retribución flexible (restauración y transporte) con FlexFlow!, • 23 días de vacaciones + el día de tu cumpleaños, • Trabajo híbrido.

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters. Impact Healthcare Roche Diagnostics has built a new strategic area – Roche Information Solutions (RIS) - charged with creating a modern portfolio of decision support software products and generating insights that change the way patients are cared for. Our challenge is to bring together complex diagnostic and treatment data from medical devices and IT systems and intelligently process and present this data to clinicians, researchers, and caregivers to improve research outcomes and patient care by offering a suite of Clinical Decision Support (CDS) solutions. Make a Big Difference As a Principal Quantitative Scientist, you are responsible for leading, conceptualizing, planning and executing advanced real-world data (RWD) projects to generate evidence in support of the CDS portfolio, clinical tests, diagnostic devices, and services developed and marketed by Roche Diagnostics, leading to better and more efficient patient care. You will contribute to broad product support initiatives and/or studies, lead and deliver on complex projects, and interact with external partners without supervision. The data you will be working with are varied in type including, but not limited to, clinical patient-level data, supplemented with data such as omics, imaging, digital health, etc. You will lead and collaborate with peers within the function and across the organization to develop and improve existing strategies, CDS and workflow solutions, improve product support strategies, identify evidence gaps and data sources, design and execute studies, implement analyses to support improvement of existing products, and lead discovery and early development of new features or apps to drive the NAVIFY portfolio as well as Diagnostics clinical tests, devices, and services. You will be able to quantify the value of these products from both a patient outcome, business value, as well as from a regulatory perspective. You will drive creation of best practices and share learnings/experience with colleagues both internal and external to the function to shape the use of RWD and implement sustainable, science-based practices in Diagnostics. The position You will also ensure that the design, execution, and presentation of evidence are adhering to the highest scientific standards. In order to succeed, you will leverage your expertise and expand knowledge of available healthcare data sources and applicable state-of-the-art methodologies. In addition, you will rely on your scientific expertise, and your ability to interact and influence cross-functional experts such as clinical biostatisticians, data scientists, and product owners, to discover novel insights demonstrating impact of various treatment decisions, and uncover key elements leading to best outcomes for patients. Responsibilities include: * Provide RWD leadership for evidence generation using RWD, supporting In-Vitro Diagnostics (IVD) and CDS product portfolio at Roche Diagnostics. * Drive the primary strategic and operational responsibility for the design, execution, and reporting of RWD studies using a variety of available research and commercial healthcare databases. * Identify and establish collaborations with healthcare institutes expanding sources of available RWD sources. * Work closely with product leads, clinical development, clinical operations, and medical affairs directors across Roche Diagnostics to create, confirm and validate disease & clinical hypotheses for RWD projects supporting commercial, market access, medical and regulatory needs. * Promote the increased adoption and use of RWD to supplement clinical study design and execution, and identify opportunities where RWD could be the primary evidence generation mechanism to achieve regulatory and reimbursement objectives for IVD and CDS products being developed across Roche Diagnostics. * Develop RWD study protocols and lead analysis projects supporting evidence needs of IVD and CDS product portfolio. Collaborate with internal and external partners (e.g., key opinion leaders, academic institutions, CROs) on the design and implementation of RWD studies. * Lead RWD study from start to completion. * Ensure high quality results from studies are published as posters, abstracts and manuscripts at a variety of external and internal events and congresses, increasing scientific profile and visibility of the organization. * Explain the strengths and limitations of RWD – such as national/regional registries, EMRs and other clinical data sources- in the context of designing RWD study designs. * Mentor more junior colleagues and act as an influential subject matter expert to your team members and the businesses you support. * Stay committed to offering innovation, finding opportunities to enhance ways of working (including processes, methods, technology, etc.), and sharing learnings pro-actively with peers. * Use and continue to foster strong working relationships with global colleagues and customers and build a strong network in order to jointly explore vendor relationships, data assets, analytical methodologies and toolsets. * Partner with external key opinions leaders, institutions, academics, etc. Who You Are * An expert in RWD study design and analysis. Equipped with hands-on experience in epidemiology and a passion to make a difference in healthcare. * A data savvy, creative thinker and problem solver, eager to learn new techniques and expand your scientific expertise. * A reliable team player and strong collaborator with influential skills and the ability to become established as a thought partner/leader. * A resilient problem solver with a sense of ownership, effective prioritization skills, and attention to detail. * A recognized team leader with experience in mentoring team members. Qualifications : * PhD (preferred) OR Master’s Degree in a Quantitative science related field (e.g. Pharmacoepidemiology, Epidemiology, RWD Biostatistics, Pharmacoeconomics, Health Economic and Outcomes Research) and 7+ years of direct related (industry, consulting, or other relevant) experience required . * Solid expertise in epidemiology and causal inference methodologies is required. * Strong experience in using research and commercial RWD sources, national and regional disease data registries. * Proven hands-on experience in generating new hypotheses, extracting/managing big data sets, design, implementation and reporting of RWD studies, in the Diagnostics/Pharma industry. * Understanding of regulatory guidelines for Diagnostics/Pharma. * Expertise in national and international coverage policies and proven experience in the use of RWD to influence reimbursement and clinical guidelines. * Excellent communication and collaboration skills (including interpersonal skills to contribute effectively in cross-functional team settings, ability to influence others without authority, ability to build strong collaborative relationships with scientific and non-scientific partners). * Strong project management skills (including ability to manage scope and effectively delegate to other functions, staff, contractors, and external vendors). * Strategic mindset and can-do attitude. * Professional working proficiency in English is required. Location Sant Cugat del Vallès, hybrid model A healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact. Let’s build a healthier future, together. Roche is an Equal Opportunity Employer. #J-18808-Ljbffr

Galderma is the emerging pure-play dermatology category leader, present in approximately 90 countries. We deliver an innovative, science-based portfolio of premium flagship brands and services that span the full spectrum of the fast-growing dermatology market through Injectable Aesthetics, Dermatological Skincare and Therapeutic Dermatology. Since our foundation in 1981, we have dedicated our focus and passion to the human body's largest organ - the skin - meeting individual consumer and patient needs with superior outcomes in partnership with healthcare professionals. Because we understand that the skin, we are in shapes our lives, we are advancing dermatology for every skin story. We look for people who focus on getting results, embrace learning and bring a positive energy. They must combine initiative with a sense of teamwork and collaboration. Above all, they must be passionate about doing something meaningful for consumers, patients, and the healthcare professionals we serve every day. We aim to empower each employee and promote their personal growth while ensuring business needs are met now and into the future. Across our company, we embrace diversity and respect the dignity, privacy, and personal rights of every employee. At Galderma, we actively give our teams reasons to believe in our bold ambition to become the leading dermatology company in the world. With us, you have the ultimate opportunity to gain new and challenging work experiences and create an unparalleled, direct impact. Further supporting our growth and innovation momentum, we are establishing a new Global Capability Center in Barcelona to deploy new capabilities to effectively support its global commercial and functional teams. Located in the upscale Eixample District in the heart of Barcelona, Galderma’s Global Capability Center offers numerous possibilities for professional development such as exposure to global and cross-functional projects and access to global career opportunities. Job Title: Global Head of Clinical Safety Location: Barcelona, Spain (hybrid) As the Global Head of Clinical Safety, you will be responsible for providing medical safety expertise for the benefit/risk assessment of products in clinical development, with a specific focus on our key biologic (Nemolizumab). This involves signal detection, risk management, risk mitigation/management plans, safety analyses in aggregate reports, providing input into publications and data dissemination activities and managing the PV relationship with a key business partner. This position is also responsible for the medical review of safety-related information in study protocols, study reports, investigator brochures, product labeling (including CCDS), periodic/aggregate reports, risk management plans and responses to specific questions from health authorities. The Global Head of Clinical Safety will line manage a team of pharmacovigilance (PV) staff in different locations around the world who are focused primarily on clinical development PV activities across the development portfolio but which will increasingly involve some post-marketing surveillance and lifecycle management activities as well. This role will have a significant degree of autonomy and will be highly visible within the organization with broad exposure to senior management. You will have the opportunity to make a meaningful positive impact on the lives of patients and consumers who suffer from a variety of dermatological conditions and to live the Galderma vision which is "Advancing dermatology for every skin story". The role reports to the Global Head of Pharmacovigilance Risk Management Relocation from within the EU/UK will be supported for the right candidate. • Propose and recommend measures aiming at minimizing risks during clinical development; release and update the Development Risk Management Plans (DRMPs), • Partner with internal and external stakeholders to ensure monitoring of safety profile for assigned compounds, signal validation and signal evaluation, and propose appropriate risk management and risk minimization measures, • Take ownership of aggregate safety reports (e.g. DSUR, PSUR, PBRER), • Take ownership of (development) Risk Management Plans (RMP), • Provide input into safety modules for dossier submission and contribute to answers to safety-related questions from regulatory agencies and internal/external stakeholders, • Contribute to investigator/KOL meetings for safety-related aspects/questions, • Contribute to IDMC (Independent Data Monitoring Committee) meetings, and support due diligence activities, as needed, • Lead ongoing safety data review during clinical trials through Safety Plans and safety review meetings, • Escalate and present safety issues at company governance bodies, • Contribute to compliance and PV inspection/audit-related activities, • Ensure effective collaboration with Global Regulatory Affairs, Global Medical Affairs, the Clinical Development group, Commercial and other internal stakeholders, • Line manage a team of up to 5 direct reports., • Doctor of Medicine (M.D.) required, • 12 years' experience in a global clinical safety / pharmacovigilance role (with an emphasis on drug development) in an ethical pharmaceutical company, • Minimum 3 to 5 years of line management experience of a team of Safety Physicians and/or Scientists is required, • Significant experience and knowledge of international clinical development and post-marketing regulations applicable to drugs. Knowledge of regulations and industry best practice for development of biologics is required, • Interactions to address safety medical questions related to clinical studies (e.g. Summary of Clinical Safety, Clinical Overview, RMP) with health authorities in the US, EU and other geographies required, • Sound knowledge of the global pharmacovigilance and safety requirements for non-clinical and clinical development, registration process and post-marketing, required, • Additional degree in clinical pharmacology and/or pharmacovigilance/drug safety and/or epidemiology, preferred, • You will be working for an organization that embraces diversity & inclusion and believe we will deliver better outcomes by reflecting the perspectives of our diverse customer base., • You will receive a competitive compensation package with bonus structure and extended benefit package., • You will be able to work in a hybrid work culture., • You will participate in feedback loops, during which a personalized career path will be established., • You will joining a growing company that believes in ownership from day one where everyone is empowered to grow and to take on accountability., • If your profile is a match, we will invite you for a first virtual conversation with the recruiter., • The next step is a virtual conversation with the hiring manager. At Galderma, you’ll work with people who are like you. And people that are different. We value what every member of our team brings. Professionalism, collaboration, and a friendly, supportive ethos is the perfect environment for people to thrive and excel in what they do. #J-18808-Ljbffr

Principal Data Scientist - Agentic AI - BCN/MAD at AILY LABS – Madrid or Barcelona. Join to apply for this role at AILY LABS. Are you ready to take part in the upcoming AI revolution of the business world? We have an extraordinary opportunity for you if you want to work with data and technology alongside a crew of sharp analytical minds. This role focuses on building end-to-end, top-level decision-making tools with cutting-edge Agentic AI and leading the development of features for the product. • Understand a business requirement and design an ML approach with cutting-edge LLM usage to solve the challenge effectively, • Define the technology to use in each part of the pipeline (SQL, Python, EC2, AWS Lambda, crontab, etc.), • Lead a team of data scientists toward the development of a feature for the application, • Own the delivery of business requirements, • Ensure coding best practices in development and mentor junior and senior data scientists in coding standards, • Ensure the quality of deliverables from your team and other contributors, • Interact with other functions and define data exchange protocols (DevOps, Front End, Database, backend, etc.), • Define strategies for the use of data and how data use interacts with data design, • Lead an AI laboratory performing discovery tasks and developing AI products, • 9+ years of experience in data science, • 5+ years in data programming/scripting (Python, R, SQL); includes package building and object-oriented programming; bonus: APIs, AWS Lambda, Step Functions, • Experience leading multiple projects and multiple teams, • Experience in project planning, • Experience in communicating technically to varied audiences, • Ability to work in a fast environment and learn quickly, • Background in data science consulting or product development, • Enthusiasm for the latest developments in LLMs and Agentic AI, • (Bonus) Master’s in Data Science / Machine Learning, • (Bonus) AWS Cloud experience, • Flexible working culture: Work from home and in our Barcelona or Madrid offices, • Healthcare coverage with Sanitas (Spain), • Latest devices to be a master: MacBook Pro M2 16GB, • Internationally diverse team that supports one another, • Knowledge sharing through bootcamps and AilyConnection events, • Support for lifelong learning and training Join us to be at the forefront of this transformative movement and shape the future of intelligent decision-making. Mid-Senior level Full-time Information Technology Software Development #J-18808-Ljbffr

Join to apply for the Principal Data Scientist | New Games role at King Job Description: Principal Data Scientist / Senior for Candy Solitaire and New Games Craft: Data, Analytics & Strategy As Principal Data Scientist (or Senior) you will: • Act as the senior technical lead and subject-matter expert within the Data Science team for Candy Crush Solitaire and other New Games., • Drive high-impact analysis and experimentation, with end-to-end ownership from design through communication of insights., • Serve as a key partner to the Associate Director and other Data Scientists, helping shape the team’s strategic focus, analytics practices, and long-term planning—while maintaining an individual contributor role., • Mentor and support other more junior data scientists, helping to raise the craft across the studio., • Take a bigger picture approach to identify potential business opportunities and scope/design approaches to capture those opportunities., • Translate business needs to technical requirements and AB-tests, working with development teams to ensure correct implementation and tracking., • Develop and evolve analytic strategies and perform analyses of complex scenarios and AB-tests, both systematically and on a one-off basis., • Ensure accurate and clear analysis and reports by carefully checking, debugging, and solving issues, even when data are complex., • Provide an analytics perspective to discussions and help drive the priorities within the team., • Champion data within the team, and share knowledge with the wider Data Science community., • You must be able to leverage deep expertise within quantitative analysis, understanding player behavior and drawing business insights that add real value to King’s long-term interests., • Ability to collaborate in a fast-paced environment with people from diverse backgrounds; excellent communication skills are essential for working with Game Developers, Producers and Game Artists across King., • You will also need:, • Product insight: experience of combining player behavior data with understanding of game and business problems to provide robust recommendations., • Technical skills: strong skills in at least two of SQL, cloud services, and Python/R; good grasp of applied statistics (especially time series) and experience in experimental design. Referrals increase your chances of interviewing at King by 2x. Get notified about new Data Scientist jobs in Barcelona, Catalonia, Spain. #J-18808-Ljbffr

Join to apply for the Principal Machine Learning Engineer - Evinova role at Evinova Introduction to role: Are you ready to revolutionize the future of healthcare? At Evinova, part of the AstraZeneca Group, we're on a mission to transform clinical trials with cutting-edge AI and Machine Learning. With the goal of increasing success rates by 20%, accelerating timelines by 36 months, and reducing costs by 50%, we are redefining the landscape of drug development. If you're a skilled coder with a passion for innovation and a desire to lead, this is your chance to make a significant impact. Join us as we design advanced machine learning models that tackle complex healthcare challenges and drive digital transformation in the industry. This position offers the opportunity to mentor team members, drive digital transformation in healthcare, and work with cutting-edge technologies including traditional deep learning models and modern MLOps practices. You'll be at the forefront of applying machine learning to revolutionize clinical development and drug discovery. • Design and implement advanced machine learning models to solve complex healthcare problems., • Translate analytical prototypes into robust, scalable production systems., • Lead end-to-end ML lifecycle from data preparation to deployment and monitoring., • Develop and maintain data pipelines supporting model training and deployment., • Deliver production-ready code as well as infrastructure as code, implementing best practices for code quality, testing, and documentation., • Collaborate with cross-functional teams to deliver data-driven solutions., • Mentor team members with a less technical background in software engineering., • Collaborate in a multidisciplinary environment to align AI initiatives with business objectives and drive digital transformation., • Stay current with advancements in data science, AI, and software engineering., • Degree in Computer Science, Mathematics, Physics or related quantitative field., • 5+ years in data science roles focused on production-ready solutions., • Strong Python programming with proficiency in data science libraries such as NumPy, pandas, scikit-learn, SciPy, Optuna and TensorFlow / PyTorch., • Extensive experience developing and deploying Python APIs, particularly using FastAPI., • Strong expertise in Python testing frameworks (pytest, unittest, mock)., • Experience with RESTful API design, documentation, dependency injection, error handling, and logging., • Proficiency with AWS cloud services (CDK, EKS, S3, IAM, CloudWatch)., • CI / CD experience, particularly with GitHub Actions workflows., • Advanced SQL skills and experience with graph databases., • Docker containerization and Kubernetes orchestration experience., • Experience working with AI tools and Large Language Models (LLMs) for practical applications., • Creative problem-solving abilities and outside-the-box thinking., • Excellent communication skills for technical and non-technical audiences., • Proven collaborative team experience., • Demonstrated innovation mindset and ability to work independently., • AWS Machine Learning Engineer or AWS Solution Architect certification., • TypeScript or a similar strongly-typed programming language experience., • Data visualization expertise., • Experience with real-time data processing and streaming., • Performance testing experience with data-intensive applications., • Front-end development familiarity., • Knowledge of healthcare AI / ML regulatory requirements. At AstraZeneca, we embrace change and invest in technology to redefine healthcare. Our dynamic environment supports innovation through collaboration and creativity. With access to cutting-edge tools and a global network of experts, we drive meaningful change in predicting, preventing, and treating patient conditions. Our commitment to lifelong learning empowers us to make an impact worldwide. Ready to be part of this transformative journey? Apply now and help shape the future of healthcare! • Date Posted: 26-ago-2025, • Mid-Senior level, • Full-time, • Engineering and Information Technology Sign in to set job alerts for “Machine Learning Engineer” roles. • Research Engineer - Machine Learning / Llms (Re1), • Software Engineer AI (Machine Learning, Python, Computer Vision), • Data Science, AI, and Machine Learning Lead - Digital Healthcare, • DATA SCIENTIST AND MACHINE LEARNING RESEARCHER (Data Science & Big Data Analytics), • Machine Learning & Computer Vision Engineer J-18808-Ljbffr #J-18808-Ljbffr

Join to apply for the Data Scientist/ML Engineer role at Appodeal, Inc. Continue with Google We are looking for an experienced Data Scientist / Machine Learning Engineer to join our Data Science team in Barcelona . Responsibilities: • Analyze data to identify trends, patterns, and actionable insights, independently solving complex data-related problems., • Design and develop end-to-end data science solutions, from analysis and model development to deployment, optimizing for performance and scalability. Focus on models for ad targeting, bid strategies, and campaign analysis., • Collaborate with technical and business teams to understand requirements and translate them into data-driven solutions, especially to enhance advertising effectiveness and ROI., • Proficiency in Python and SQL., • Experience with frameworks like PySpark and Pandas., • Experience with cloud services such as AWS., • Bachelor's or Master's in Computer Science, Statistics, Mathematics, or related., • 3+ years in data science, preferably in a product-focused environment., • 2+ years in AdTech or related field., • Strong analytical skills and experience with statistical modeling and machine learning. Why Join Us: • Work on impactful projects in the mobile app industry., • Inclusive culture valuing innovation and learning., • Competitive salary, flexible work, and benefits. #J-18808-Ljbffr

Join to apply for the Senior Machine Learning Platform/Ops Engineer role at Preply 1 day ago Be among the first 25 applicants Join to apply for the Senior Machine Learning Platform/Ops Engineer role at Preply Get AI-powered advice on this job and more exclusive features. We power people's progress. At Preply, we’re all about creating life-changing learning experiences. We help people discover the magic of the perfect tutor, craft a personalized learning journey, and stay motivated to keep growing. Our approach is human-led, tech-enabled - and it’s creating real impact. So far, 90,000 tutors have delivered over 20 million lessons to learners in more than 175 countries. Every Preply lesson sparks change, fuels ambition, and drives progress that matters. We power people's progress. At Preply, we’re all about creating life-changing learning experiences. We help people discover the magic of the perfect tutor, craft a personalized learning journey, and stay motivated to keep growing. Our approach is human-led, tech-enabled - and it’s creating real impact. So far, 90,000 tutors have delivered over 20 million lessons to learners in more than 175 countries. Every Preply lesson sparks change, fuels ambition, and drives progress that matters. About The Role As Preply scales its AI-powered learning platform, we’re looking for an experienced Senior ML Platform/Ops Engineer to help productionize machine learning systems with high reliability, performance, and observability. You’ll work at the intersection of ML, data engineering, and cloud infrastructure enabling fast, secure, and reproducible model development from training to deployment. You’ll collaborate closely with ML Scientists, Backend Engineers, and Data Engineers to shape the foundations of our ML lifecycle. What You’ll Be Doing • Build and maintain ML pipelines for training, evaluation, and deployment using tools like Databricks, MLFlow, Airflow, DBT, Sagemaker, Tecton, • Support AI scientist creating reproducible, containerized model training environments (on-demand and scheduled), and manage compute at scale (e.g., spot/GPU autoscaling), • Define and implement observability and alerting for ML systems (model drift, data quality, feature coverage, etc.), • Design and scale data ingestion and feature transformation flows using batch (e.g., Spark/BigQuery) and streaming (Kafka or equivalent), • Contribute to internal Python libraries and platform tooling that accelerate experimentation and deployment for all model teams, • Ensure ML services are modular, testable, and monitored from day one, • Proven experience designing and deploying ML systems in production (5+ years in relevant roles), • Proficiency in Python and SQL, and orchestration tools (Airflow, Kubeflow, Dagster, etc.), • Experience with modern cloud platforms (preferably GCP or AWS), Kubernetes, and CI/CD workflows, • Understanding of ML model lifecycles: training, validation, deployment, and monitoring, • Strong DevOps practices: Git, IaC (Terraform), logging/observability, containerization (Docker/K8s), • Ability to work independently with ML Scientists and mentor peers in reliability, testing, and delivery. Product impact driven., • An open, collaborative, dynamic and diverse culture;, • A generous monthly allowance for lessons on Preply.com, Learning & Development budget and time off for your self-development;, • A competitive financial package with equity, leave allowance and health insurance;, • Access to free mental health support platforms;, • Care to change the world - We are passionate about our work and care deeply about its impact to be life changing., • We do it for learners - For both Preply and tutors, learners are why we do what we do. Every day we focus on empowering tutors to deliver an exceptional learning experience., • Keep perfecting - To create an outstanding customer experience, we focus on simplicity, smoothness, and enjoyment, continually perfecting it as every detail matters., • Now is the time - In a fast-paced world, it matters how quickly we act. Now is the time to make great things happen., • Disciplined execution - What makes us disciplined is the excellence in our execution. We set clear goals, focus on what matters, and utilize our resources efficiently., • Dive deep - We leverage business acumen and curiosity to investigate disparities between numbers and stories, unlocking meaningful insights to guide our decisions., • Growth mindset - We proactively seek growth opportunities and believe today's best performance becomes tomorrow's starting point. We humbly embrace feedback and learn from setbacks., • Raise the bar - We raise our performance standards continuously, alongside each new hire and promotion. We build diverse and high-performing teams that can make a real difference., • Challenge, disagree and commit - We value open and candid communication, even when we don’t fully agree. We speak our minds, challenge when necessary, and fully commit to decisions once made., • Mid-Senior level, • Full-time, • Information Technology and Engineering Get notified about new Operations Engineer jobs in Barcelona, Catalonia, Spain . Baix Llobregat, Catalonia, Spain 1 year ago Baix Llobregat, Catalonia, Spain 4 weeks ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr

Join to apply for the Principal Data Scientist - E.D.G.E. Team role at Sanofi Join to apply for the Principal Data Scientist - E.D.G.E. Team role at Sanofi Job Title: Principal Data Scientist - E.D.G.E. Team Location: Barcelona, Spain Flexible working: 60% home office / week Job type: Permanent, Full time About The Job Are you ready to revolutionize healthcare through cutting-edge data science and AI? Join Sanofi's E.D.G.E. (Emerging Disruptive Growth Exploration) Team as a Principal Data Scientist, and you'll be at the forefront of innovation, developing data-driven solutions that improve health outcomes globally. Your expertise will be crucial in predicting disease onset using non-traditional approaches and driving evidence-based product development that impacts millions of lives. We are an innovative global healthcare company with a focus on immunology that extends to innovation in diabetes and transplant medicine. Across different countries, our talented teams harness digital technology and AI to deliver exceptional customer experiences. We pursue progress to make a real impact on millions of patients worldwide, especially for underserved populations. Main Responsibilities • Lead groundbreaking machine learning and AI initiatives to solve complex healthcare challenges, • Develop advanced computational and statistical methodologies for cutting-edge analytics, • Collaborate across Sanofi to deliver impactful analyses that address key business questions, • Apply your expertise in machine learning, statistics, and data mining to drive product innovation, • Mentor junior colleagues and champion analytics results to non-technical audiences, • Work with internal and external data scientists to scope and execute advanced analytics projects, • Advanced degree in Data Science, Statistics, Mathematics, or a related quantitative field, • Proven track record in applying analytics to solve complex product or business problems, • Expertise in advanced ML techniques, including deep learning and NLP, • Experience with big data platforms (e.g., Databricks) and high-level ML libraries, • Proficiency in Python, R, SQL, and data visualization technologies, • Knowledge of Vertical Federated Analytics (e.g., FlowerAI), • Strong communication skills to translate complex concepts for diverse audiences, • Bring the miracles of science to life alongside a supportive, future-focused team, • Discover endless opportunities to grow your talent and drive your career internationally, • Enjoy a thoughtful rewards package that recognizes your contribution and amplifies your impact, • Take good care of yourself and your family with comprehensive health and wellbeing benefits, • Be part of a team that's actively shaping the future of healthcare through data and AI, • Work on projects that have a direct impact on improving lives globally #Sanofi #WeNeverSettle #SanofiCareers #PursueProgress #DiscoverExtraordinary #joinsanofi #careerswithpurpose nullPursue Progress . Discover Extraordinary . Join Sanofi and step into a new era of science - where your growth can be just as transformative as the work we do. We invest in you to reach further, think faster, and do what’s never-been-done-before. You’ll help push boundaries, challenge convention, and build smarter solutions that reach the communities we serve. Ready to chase the miracles of science and improve people’s lives? Let’s Pursue Progress and Discover Extraordinary – together. At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, protected veteran status or other characteristics protected by law. • Mid-Senior level, • Full-time, • Engineering and Information Technology Barcelona, Catalonia, Spain 9 minutes ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr

NOTE: This is a FULLY remote role, but the candidate must be within Europe to collaborate with their team, peers, and internal customers. You do not have to be in the specific country or city shown in this listing, but please only apply if you are physically based within Europe. Hostaway is a SaaS startup that is transforming the vacation rental industry. With innovative solutions and partnerships with giants like Airbnb, VRBO, and Booking, we're taking on the competition and winning. Leveraging our customer-centric core values, we consistently deliver results that encourage growth, learning, and innovation for our team, our customers, and the industry. As a profitable and growing company, this role is necessitated by our continued growth. Exciting Recent News! We’ve raised $550M in the past 18 months, bringing us closer to unicorn status! It’s an incredible time to join us! Hostaway AI creates value by streamlining routine work, elevating decisions with relevant insights, and simplifying complex tasks. It helps unlock new revenue opportunities, boost operational efficiency, and improve customer satisfaction across the property management lifecycle. As a Senior Product Manager, AI, you will play a key role in shaping how Hostaway AI assists, augments, and automates every aspect of property management. You will define and execute the strategy for our AI product to serve our core users—property managers, owners, and cleaners—while partnering closely with engineering, design, and marketing to deliver seamless, intuitive AI-driven user experiences. Success in this role requires deep customer empathy and hands-on involvement in user research, ensuring we solve real pain points without unnecessary complexity. You have to put yourself in the shoes of our customers and be directly involved in the user research. • Drive outcomes and own the results on a multi-million dollar business line., • Help develop and implement the Hostaway AI vision, strategy, and roadmap, breaking that down into rapidly shippable projects, consistent with the company vision., • Collect and analyze customer, stakeholder, and team feedback to shape requirements, features, and end products., • Work with senior management to create product plans and roadmaps, based on your interaction with customers and aggregate customer feedback., • Partner with sales, customer success, and engineering to ship features and products that solve the right problems., • Ensure products and releases are launched correctly and on schedule., • Define and analyze the metrics that determine success., • Make creative recommendations to expand the product base and vision. Actively seek out opportunities to innovate., • 5+ years of product management experience, ideally in B2B/B2C SaaS., • Strong understanding of AI/ML fundamentals to evaluate feasibility with engineers, although this is not a data scientist role., • Solid grasp of LLMs, including prompt design and evaluation, managing quality and risk, and awareness of model capabilities, costs, latency, and context limits., • Experience assessing and integrating off-the-shelf AI solutions; LLMs, APIs, SaaS AI services, and third-party ML products., • Strong understanding of agentic AI concepts (tool use, planning, orchestration)., • Deep empathy for users — you think in flows, friction points, and moments of delight., • Able to make decisions when surrounded by uncertainty. You don’t require a support system to maintain momentum., • Able to lead by influencing without authority, aligning cross-functional teams around clear goals and driving outcomes through trust, clarity, and data-informed decision., • AI-powered features are seamlessly embedded into Hostaway’s SaaS product., • Customer workflows feel smarter, faster, and more personalized thanks to the integrations you build with the team., • AI services are stable, observable, and easy to maintain., • You become the go-to person for the Hostaway AI product vision and capabilities across the company., • Competitive Compensation: We offer competitive pay based on market rates in the country of the applicant., • 100% Remote: Enjoy the freedom to work from anywhere within your country of residence—be it a co-working space, your home office, or even your dining room table. The choice is yours. Just don’t ask to work in our office (we don’t have one)., • Equity: Every role in our company comes with valuable stock options in a fast-growing and profitable company. This ensures we all share in the company’s success., • Values-Driven Leadership: Our Core Values are not just words we’ve written to make us feel good. We leverage them daily when making strategic and tactical decisions., • Professional Growth: Our rapid growth offers unparalleled learning and development opportunities, along with a multitude of career advancement opportunities., • Annual Paid Leave: The specific amounts vary by country and are aligned with country and/or contract-specific norms., • Geographic Specific Benefits: As an international employer, we offer different country-specific benefits such as Health Insurance and Pensions in countries where these perks are customary. The specifics depend on the country of the applicant. #J-18808-Ljbffr

NPAW is the leading video intelligence company helping online streaming services grow. A global pioneer in its space, NPAW has over a decade of experience developing ground-breaking, scalable analytics solutions to optimize performance and user engagement, to build media experiences that maximize revenue. Its Suite of analytics apps provides advanced visibility of platform performance, audience behavior, advertising and content efficiency, and app navigation in real-time to support data-driven decisions. NPAW serves more than 150 video services and processes over 100 billion plays per year worldwide. Established in 2008 by co-founders of Rakuten TV, NPAW has offices in Barcelona, Madrid, and Lisbon, with teams around the world. For more information, visit . You will play a crucial role in developing an innovative AI companion app that transforms teams into data champions. NaLa enables swift analytics of large datasets to resolve issues promptly and intuitively, safeguarding user satisfaction. • Design, write, test, and maintain high-quality, scalable code using Python and ReactJS., • Ensure system efficiency and bug-free integration., • Implement advanced Natural Language Processing (NLP) techniques., • Develop language-based analytics models to enhance data interpretation., • Work with product, design, and other teams to meet user needs., • Participate in team meetings to discuss progress and solutions., • Monitor and improve system performance for large-scale data analysis., • Ensure fast, accurate responses through various user interfaces., • Create intuitive experiences to empower team members as data experts., • Help users derive insights and quickly identify the root causes of issues., • Previous experience as a software engineer or data scientist., • Proficiency in Python and JavaScript, with a focus on ReactJS., • Familiarity with AI and NLP libraries., • Experience developing and deploying ML models., • Strong SQL and database management skills., • Strong analytical and problem-solving abilities., • Excellent interpersonal and communication skills., • Permanent contract, • Private health insurance with Adeslas, • Flexible compensation plan, • Hybrid remote-office work, • Flexible work schedule, • 23 days of holidays per year, • Birthday afternoon off, • Career growth opportunities, • Access to continuous training, • Language lessons, • Referral bonus, • International & multicultural team (more than 20 nationalities!), • Fun environment: sports, volunteering, company events, BBQs, pizza days, etc., • Great office in Barcelona, • Free lunch at the office, • Free drinks, fruit & snacks, • Challenging technological projects #J-18808-Ljbffr

Consent Depending on the period of time they remain active on the terminal equipment: MODIFICATIONS Head of DATA ENGINEERING & DATA ARCHITECTURES page is loaded Solicitar remote type Hybrid locations MADRID BARCELONA time type Tiempo completo posted on Publicado hoy job requisition id JR104927 We are One Team. We make it happen. We are Unstoppable. BABEL es una consultora tecnológica multinacional especializada en aplicar sus servicios y conocimiento tecnológico en los procesos de aceleración digital de sus clientes, grandes empresas y organismos públicos. ¿Cuál es nuestro plan estratégico? ¡Miramos hacia el futuro! Nuestro plan estratégico Hiperespacio 2029 promete ser un viaje emocionante, lleno de oportunidades para crecer y desarrollarse profesionalmente. Alcanzar 1000 millones de facturación, un reto que estamos seguros de que con la colaboración y el talento de nuestra gente, será otra historia de éxito que escribiremos juntos y juntas. ¿Qué buscamos? Buscamos un/a Head of Data Engineering & Data Architectures con experiencia liderando proyectos end-to-end que integren ingeniería de datos, modelos analíticos predictivos y prescriptivos, Machine Learning / IA Generativa. El perfil ideal tendrá que aportar conocimiento en plataformas, herramientas y stack tecnológico para la ingesta, transformación del dato en información útil y activación en canales para aportar valor en los clientes. Así como, experiencia en el despliegue de soluciones comerciales o desarrollos conescala de soluciones alrededor del dato con metodologías de ingeniería del software como MLDevops. Importante contar con experiencia en proyectos en diferentes entornos sectoriales, con capacidad para entender necesidades de negocio específicas de los clientes, definir una solución end to end de activación del dato, dirigir la ejecución del proyecto y hacer seguir creciendo las cuentas desde la aportación de valor a los clientes. Necesario contar con liderazgo de equipos de data scientist y vocación por innovación con metodologías agile. Valoramos como importante el poder tener capacidad para trabajar en castellano o inglés, por la involucración en proyectos internacionales. Tecnologías/Metodologías: a continuación, indicamos algunas de las tecnologías más relevantes para esta posición • Cloud, ingesta, procesamiento, arquitecturas modernas, visualización, reporting, control de versiones, orquestación, automatización, agile. #Babel #LI-SG2 ¿Qué ofrecemos? Babel, the great way to achieve the success. ¿Quieres formar parte de un equipo en expansión, comprometido e innovador que hace historia cada día? En Babel te acompañamos en tu camino hacia el éxito. Creemos en el talento de las personas y lo queremos potenciar ofreciéndote un gran entorno de trabajo basado en la colaboración y la solidaridad. Trabajar en Babel es mucho más que trabajar en una empresa, es unirse a un equipo de personas con una misión compartida y a un modelo de compañía centrado en valores. Además, * Apostamos por la flexibilidad laboral-personal. (Sistema de vacaciones por puntos, teletrabajo y flexibilidad). * Invertimos en la formación de nuestros Babelievers . * Invertimos en tu salud física y emocional. (Seguro Médico Privado/ Seguro de vida, entrenador personal y programa de wellbeing). * Invertimos también en tu tiempo libre (Actividades en la naturaleza, campeonatos deportivos, suscripción a plataforma streaming (por Ej. Netflix) * Participamos del crecimiento de la compañía y reconocemos la participación de cada persona (Bono de Beneficios). * Ponemos foco en trabajar con últimas tecnologías y proyectos innovadores, pero sobre todo, acompañamos a la transformación digital y acercamos la tecnología a la sociedad. ¿Aceptas el desafío? ¡Te esperamos! En cumplimiento de la normativa vigente en materia de protección de datos te informamos que el responsable de tus datos personales es GRUPO BABEL (consultar empresas en la política de privacidad), y los utilizará para gestionar tus procesos de selección, tanto actuales como futuros y el resto de finalidades descritas en la web. Este tratamiento está basado en el consentimiento del candidato. Los datos personales recabados no serán en ningún caso cedidos a terceros salvo por obligaciones legales expresas. Puedes ejercer los derechos que te asisten sobre protección de datos en la dirección . Toda la información sobre política de privacidad en nuestra web. remote type Full Remote locations MADRID time type Tiempo completo posted on Publicado hace 4 díasremote type Hybrid locations Ubicaciones: 2 time type Tiempo completo posted on Publicado hoy #J-18808-Ljbffr

En BCNC Group buscamos a un Data Scientist experimentado con al menos 4 años de experiencia en la posición. Debes diseñar, implementar y evolucionar productos basados en modelos de optimización matemática, trabajando de la mano con Data Engineers, IT y usuarios de negocio para lograr impacto real en la toma de decisiones estratégicas y operativas. • Diseñar soluciones que lleguen a producción., • Participar en sesiones con unidades de negocio para entender requerimientos y restricciones reales., • Explorar y probar diferentes formulaciones hasta encontrar la más eficiente., • Experiencia demostrada en optimización matemática (mín. 2 años)., • Formación técnica en Matemáticas Aplicadas, Física o Ingeniería con Máster en Matemáticas Aplicadas., • Dominio de Python (pandas, programación orientada a objetos)., • Conocimiento de solvers comerciales., • Conocimientos en ETL y queries., • Conocimiento profundo en algoritmos de optimización entera y problemas de gran escala.

Machine Learning Engineer - BCN / MAD role at AILY LABS. We are looking for passionate Machine Learning Engineers to join our mission in Barcelona or Madrid. In Aily we encourage a fun and agile environment. We contribute to the development of the brain of our products and build beautiful AI products. • Develop tools and frameworks for model training, tuning, and evaluation, ensuring seamless infrastructure integration, • Partner with Data Scientists and Engineers to bring AI solutions to production, • Supervise, review and validate pull requests, deployment, and development flows in the AI team, • Drive continuous improvements in MLOps processes and tools, • Sponsor the creation of new software and ML standards in the AI team, • Interact with other functions and agree on data exchange protocols and architecture design (DevOps, Front End, Data Engineering, Back End, …), • Ensure adherence to best practices in ML model governance and compliance, • Keep up to date with the latest trends in AI and MLE, • Familiarity with cloud-based infrastructure and services (AWS preferred), • Experience with containerization and orchestration technologies such as Docker and Kubernetes, • Experience with version control and CI / CD systems (GitHub Actions preferred), • Ability to work in a fast-paced environment and learn quickly, • Enthusiasm for the latest advances in Generative AI, • Bonus) Cloud certifications (preferably AWS), • Bonus) Background in product or AI SaaS companies, • Bonus) Experience with GenAI stack : OpenAI, Claude, Langfuse, GenAI APIs, Langchain, PyTorch In Aily we encourage a fun and agile environment. We contribute to the development of the brain of our products. • We are an internationally diverse team that supports one another., • We develop high-quality software and thus create sustainable added value for our customers., • We live in a feedback culture so that we can constantly reflect and improve., • We enjoy new technologies and love to learn new things and grow with them., • We give freedom for further training because lifelong learning is important to us. #J-18808-Ljbffr

Machine Learning Engineer - BCN/MAD role at AILY LABS . We are looking for passionate Machine Learning Engineers to join our mission in Barcelona or Madrid. In Aily we encourage a fun and agile environment. We contribute to the development of the brain of our products and build beautiful AI products. • Develop tools and frameworks for model training, tuning, and evaluation, ensuring seamless infrastructure integration, • Partner with Data Scientists and Engineers to bring AI solutions to production, • Supervise, review and validate pull requests, deployment, and development flows in the AI team, • Drive continuous improvements in MLOps processes and tools, • Sponsor the creation of new software and ML standards in the AI team, • Interact with other functions and agree on data exchange protocols and architecture design (DevOps, Front End, Data Engineering, Back End, …), • Ensure adherence to best practices in ML model governance and compliance, • Keep up to date with the latest trends in AI and MLE, • Familiarity with cloud-based infrastructure and services (AWS preferred), • Experience with containerization and orchestration technologies such as Docker and Kubernetes, • Experience with version control and CI/CD systems (GitHub Actions preferred), • Ability to work in a fast-paced environment and learn quickly, • Enthusiasm for the latest advances in Generative AI, • (Bonus) Cloud certifications (preferably AWS), • (Bonus) Background in product or AI SaaS companies, • (Bonus) Experience with GenAI stack: OpenAI, Claude, Langfuse, GenAI APIs, Langchain, PyTorch In Aily we encourage a fun and agile environment. We contribute to the development of the brain of our products. • We are an internationally diverse team that supports one another., • We develop high-quality software and thus create sustainable added value for our customers., • We live in a feedback culture so that we can constantly reflect and improve., • We enjoy new technologies and love to learn new things and grow with them. #J-18808-Ljbffr

NOTE: This is a FULLY remote role, but the candidate must be within Europe to collaborate with their team, peers, and internal customers. Please only apply if you are physically based within Europe. Hostaway is a SaaS startup that is transforming the vacation rental industry. With innovative solutions and partnerships with giants like Airbnb, VRBO, and Booking, we're taking on the competition and winning. Leveraging our customer-centric core values, we consistently deliver results that encourage growth, learning, and innovation for our team, our customers, and the industry. As a profitable and growing company, this role is necessitated by our continued growth. Exciting Recent News! We’ve raised $550M in the past 18 months, bringing us closer to unicorn status! It’s an incredible time to join us! Hostaway AI creates value by streamlining routine work, elevating decisions with relevant insights, and simplifying complex tasks. It helps unlock new revenue opportunities, boost operational efficiency, and improve customer satisfaction across the property management lifecycle. As a Senior Product Manager, AI, you'll play a key role in shaping how Hostaway AI assists, augments, and automates every aspect of property management. You will define and execute the strategy for our AI product to serve our core users—property managers, owners, and cleaners—while partnering closely with engineering, design, and marketing to deliver seamless, intuitive AI-driven user experiences. Success in this role requires deep customer empathy and hands-on involvement in user research, ensuring we solve real pain points without unnecessary complexity. You have to put yourself in the shoes of our customers and be directly involved in the user research. * Drive outcomes and own the results on a multi-million dollar business line. * Help develop and implement the Hostaway AI vision, strategy, and roadmap, breaking that down into rapidly shippable projects, consistent with the company vision. * Collect and analyze customer, stakeholder, and team feedback to shape requirements, features, and end products. * Work with senior management to create product plans and roadmaps, based on your interaction with customers and aggregate customer feedback. * Partner with sales, customer success, and engineering to ship features and products that solve the right problems. * Ensure products and releases are launched correctly and on schedule. * Define and analyze the metrics that determine success. * Make creative recommendations to expand the product base and vision. Actively seek out opportunities to innovate. * 5+ years of product management experience, ideally in B2B/B2C SaaS. * Strong understanding of AI/ML fundamentals to evaluate feasibility with engineers, although this is not a data scientist role. * Solid grasp of LLMs, including prompt design and evaluation, managing quality and risk, and awareness of model capabilities, costs, latency, and context limits. * Experience assessing and integrating off-the-shelf AI solutions; LLMs, APIs, SaaS AI services, and third-party ML products. * Strong understanding of agentic AI concepts (tool use, planning, orchestration). * Deep empathy for users — you think in flows, friction points, and moments of delight. * Able to make decisions when surrounded by uncertainty. You don’t require a support system to maintain momentum. * Able to lead by influencing without authority, aligning cross-functional teams around clear goals and driving outcomes through trust, clarity, and data-informed decision. * AI-powered features are seamlessly embedded into Hostaway’s SaaS product. * Customer workflows feel smarter, faster, and more personalized thanks to the integrations you build with the team. * AI services are stable, observable, and easy to maintain. * You become the go-to person for the Hostaway AI product vision and capabilities across the company. * Competitive Compensation: We offer competitive pay based on market rates in the country of the applicant. * 100% Remote: Enjoy the freedom to work from anywhere within your country of residence—be it a co-working space, your home office, or even your dining room table. The choice is yours. Just don’t ask to work in our office (we don’t have one). * Equity: Every role in our company comes with valuable stock options in a fast-growing and profitable company. This ensures we all share in the company’s success. * Values-Driven Leadership: Our Core Values are not just words we’ve written to make us feel good. We leverage them daily when making strategic and tactical decisions. * Professional Growth: Our rapid growth offers unparalleled learning and development opportunities, along with a multitude of career advancement opportunities. * Annual Paid Leave: The specific amounts vary by country and are aligned with country and/or contract-specific norms. * Geographic Specific Benefits: As an international employer, we offer different country-specific benefits such as Health Insurance and Pensions in countries where these perks are customary. The specifics depend on the country of the applicant. * Dynamic Team Culture: As a global company with team members in over 40 countries, our diverse and international culture fuels our innovation and creativity, providing a key pillar to our success (and making it a lot of fun to work here). Thank you for your interest. If you apply for this role, you will receive an email from our Talent Acquisition team after your application has been reviewed alongside the qualifications for this role and the qualifications of others who have applied. #J-18808-Ljbffr

Beneath a simple yet elegant user interface lies a complex system of functionalities. Our AI-powered product uses image recognition, facial comparison, and behaviour analysis to make decisions. We help our partners build onboarding processes that ensure good people get things done and bad folks get stopped. In order to take our product to the next level, we need world-class data scientists to automate processes historically reserved for humans, and do so at superhuman performance levels. We are making significant investments to create a top-notch machine learning platform for prototyping, training, deploying, and evaluating machine learning models at a massive scale. Together with our world-class data annotation, data curation and MLOps teams, we fuel the AI-powered engine behind our success. As a Senior Data Scientist for the Verification Automation team, your primary responsibility will be to design, build, and implement models and solutions specifically tailored for Identity Verification products. In this role, you will collaborate closely with our Product Managers, Data Scientists, Machine Learning Engineers, and other data professionals. You’ll Help Us Protect Honest People Online By • Owning end-to-end responsibility of building production-ready machine learning models from prototyping to implementing the solution in the pipelines and measuring its impact on production, • Taking complete ownership of performance metrics for our machine learning models, • Influencing and shaping our machine learning models, evaluating external vendors, and improving the instrumentation to generate valuable insights and creating new machine learning products and models, • Establishing key metrics, deriving data-driven insights, and conducting experiments to assess the overall product impact of our machine learning solutions, • Working both independently and collaboratively with other engineers to define and deliver high-impact product features You are the right future Veriffian for the job if you have: • At least 6 years of professional SaaS industry experience, successfully delivering high-performance Machine Learning models, • Theoretical and applied knowledge in Machine Learning concepts with a special focus on Computer Vision, • Hands-on experience working with Deep Learning toolkits such as Tensorflow or PyTorch, • Proficiency in SQL, • Can effectively communicate the results and trade-offs to both technical and non-technical audiences, • Enjoy working in a fast-paced, highly fluid, and multi-functional environment. Why Veriff? We are the preferred identity verification platform partner for the world’s most innovative growth-driven organizations helping conveniently verify and safeguard users anywhere in the world. We support the broadest number of identity documents from nearly every country and territory in the world - and this is continually increasing! With a diverse team in the United States, United Kingdom, Spain, and Estonia, as well as robust backing and funding from investors including Accel, Alkeon, IVP, Tiger Capital, and Y Combinator, we’re dedicated to helping businesses and individuals build a safer and more secure world. We strive to be the benchmark for trust online, and we take pride in being a positive force. When you join Team Veriff, we offer you the opportunity to have a real impact and advance your career, while looking after you along the way with a range of benefits designed with you in mind. Some of our favorites include... • Flexibility to work from home, • Stock options that ensure your share in our success, • Extra recharge days on top of your annual vacation, • Comprehensive relocation support to Estonia or Spain, • Extensive medical, dental, and vision insurance to ensure you’re feeling great physically and mentally, • Learning and Development & Health and Sports budget that you are free to tailor to your own needs, • Four weeks of fully paid sabbatical leave after reaching your 5th work anniversary We are an Equal Opportunities employer committed to a diverse and representative team. Different opinions, perspectives and personalities push us forward. We want to hear from people who are passionate about their work and align with our values. Regardless of race, religion, color, national origin, gender, sexual orientation, age, marital status or disability. We also know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates - so rest assured, whoever you are, we want to hear from you! Please be informed that in the final stage of the recruitment process we may request you to go through identity verification. For more information, please see Recruitment Privacy Policy. • Mid-Senior level, • Full-time, • Engineering and Information Technology We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr

Desarrollo GenAI usando Python, Langchain. Desarrollo GenAI usando Python, Langchain, Vector datastores. Buscamos a un desarrollador senior de Apps en Python que tenga conocimiento y experiencia en desarrollo de aplicaciones Gen AI (no un Data scientist ni nada parecido).

Buscamos a un desarrollador senior de Apps en Python que tenga conocimiento y experiencia en desarrollo de aplicaciones Gen AI (no un Data scientist ni nada parecido). Experiencia (senior) en desarrollo (tirando a full-stack): Python, Java. Desarrollo GenAI usando Python, Langchain.

Collaborate with cross-functional teams to address the organization's data-driven needs, managing significant volumes of structured and unstructured data. As a key team member, you will be involved in every aspect of the data science project development process, from data analysis and model selectio

Analyze raw data: assessing quality, cleansing, structuring for downstream processing. At least 2 years' of experience in quantitative analytics or data modeling. Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau).

Dow Jones is seeking a skilled Data Scientist to join our AI Engineering Team. As a key team member, you will be involved in every aspect of the data science project development process, from data analysis and model selection to building proofs of concept and refining pipelines. Collaborate with cro

El equipo de Advanced Analytics de Mango está formado por Data Scientists, Big Data Engineers, Machine Learning Engineers, Deep Learning Researchers e Software Engineers que trabajan juntos en squads multidisciplinares para desarrollar algoritmos de aprendizaje automático de calidad de vanguardia

Dow Jones is seeking a skilled Data Scientist to join our AI Engineering Team. As a key team member, you will be involved in every aspect of the data science project development process, from data analysis and model selection to building proofs of concept and refining pipelines. Collaborate with cro

DataScience #Optimization #DataScientist #Python #OperationsResearch #MathematicalOptimization #OfertaDeEmpleo #TechJobs #Barcelona #HybridWork #Aviation. Data Science con un perfil Senior especialista en Optimización.

Data Science, AI y modelos de Machine Learning aplicados a negocio.

Se valorarán máster o acreditaciones en entorno Data Science.

As a key team member, you will be involved in every aspect of the data science project development process, from data analysis and model selection to building proofs of concept and refining pipelines. Collaborate with cross-functional teams to address the organization's data-driven needs, managing s