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Data Scientist - Song Accenture Song es la unidad de Accenture que combina creatividad, datos, tecnología y diseño para crear experiencias de cliente relevantes y escalables.Dentro de este contexto, buscamos incorporar un perfil MLOps Engineer - Consultant para participar en el diseño, industrial

Data Scientist Modelos-Empresas (CDAIO) Data Scientist Modelos-Empresas (CDAIO) Country: Spain Santander está evolucionando de una marca global de alto impacto a una organización impulsada por la tecnología, y nuestra gente está en el centro de este viaje.Juntos, estamos impulsando una tra

Data Scientist Modelos-Empresas (CDAIO) Data Scientist Modelos-Empresas (CDAIO) Country: Spain Santander está evolucionando de una marca global de alto impacto a una organización impulsada por la tecnología, y nuestra gente está en el centro de este viaje.Juntos, estamos impulsando una transform

Experteer Overview In this role you will design end-to-end AI solutions for large enterprise clients, built on robust data pipelines and lakehouse architectures. You will work with cross-functional teams across Spain in the xTech Competence Centre, delivering production-ready AI systems and advancing RAG, embeddings and LLM integrations. You will contribute to internal AI activities, sharing accelerators and best practices. This is a hands-on, impact-driven position at the intersection of data engineering and cutting-edge AI. Compensaciones / Beneficios • Design and implement end-to-end AI solutions including data pipelines and lakehouse architectures • Build and deploy production-grade AI systems using LLMs and retrieval-augmented generation • Develop and optimize ETL/ELT pipelines and data workflows in Databricks and cloud environments • Integrate AI models into applications, APIs and business processes • Collaborate with cross-functional teams and contribute to internal AI community and accelerators • Model, evaluate and monitor AI systems, ensuring data quality and responsible AI principles Responsabilidades • Master's degree in a STEM field • Strong quantitative and analytical skills • Proficient in Python • Hands-on PySpark experience • Solid Databricks experience (notebooks, jobs, clusters, Delta Lake) • ETL/ELT design in lakehouse or cloud environments • Strong SQL and Postgres knowledge; data modeling and integration with AI workloads • Experience with structured and unstructured data; text, documents, images, etc. • Knowledge of Generative AI techniques and LLMs; open-source LLMs (preferably Qwen) • Experience with Retrieval-Augmented Generation, embeddings and vector search • Prompt engineering and LLM orchestration • API/data workflow integration; Git • Model evaluation, data quality, monitoring and responsible AI • Fluent in Spanish and English Requisitos principales • Growth u0026 Learning • Hybrid working model • Private health insurance • Parental leave benefits • Inclusive and ethical workplace • Wellness and meal vouchers

A software company in the hospitality sector are seeking a Data Scientist to develop machine learning models, optimize algorithms, and analyze large datasets. This role requires extensive experience in machine learning, data interpretation, and big data handling. The ideal candidate will be proficient in Python and SQL, and have strong analytical skills. The position offers a 100% remote work environment with a flexible schedule and competitive salary. #J-18808-Ljbffr

Ebury in Madrid is seeking a Data Scientist - Growth to bridge advanced data science and sales execution.You will build growth and sales models, such as lead scoring and profitability models, using Python and Google Cloud Platform, to fuel our global sales engine.This role blends experimentation, an

ph3Overview /h3pOur client, one of the most known consultancy companies in the world, is looking to expand their Data Analytics team and bring professionals to work with top clients in the market. /ph3Responsibilities /h3pBring your services to the market and help enhance and support this already successful company. /ph3Qualifications /h3pSuccessful Data Scientists candidates should be able to demonstrate strong knowledge of the following technologies: /pulliPython, R, Java, C++ /liliCloud: Azure, AWS /liliGit/GitHub/GitLab/Bitbucket /liliSQL /liliDocker, Kubernetes /li /ulpTraining will be provided in any of the technologies you lack. /ph3Benefits /h3ulli25 days holiday (plus Public Holidays) /liliREAL flexibility on how and when you work /liliAllowance for trainings/certifications/conferences /liliInsurance /liliPrivate medical /li /ulpLocation: Madrid, Spain / Hybrid Working /ppSalary: 49k for Seniors and above, 50k for managers (with 20% bonus) /p /p #J-18808-Ljbffr

Experteer Overview As part of a Europe-based research team, you advance Daon’s biometric solutions by building and evaluating face authentication technologies. You’ll collaborate with researchers and engineers to deliver on strategic objectives, tackle presentation attack detection and fraud prevention challenges, and translate experimental results into deployable models. You’ll work with state-of-the-art biometric codebases while staying aligned with privacy, security, and ethical considerations. This role offers the chance to shape next-gen face biometrics in a global leader in identity security. Compensaciones / Beneficios • Develop machine learning algorithms for face authentication • Research, prototype, and evaluate presentation attack detection and fraud prevention methods • Test and configure face algorithms to meet performance and accuracy targets • Extend and utilize existing biometric code libraries • Run rigorous experiments, interpret results, and translate findings into deployable models and policies • Contribute to innovations addressing emerging face biometrics challenges • Continue building expertise in AI, ML, and computer vision Responsabilidades • Experience in at least two of: computer vision u0026 deep learning; data u0026 experimental methods; image recognition u0026 matching; liveness u0026 anti-spoofing • Proficiency with PyTorch or TensorFlow • Strong programming skills in Python and/or C++ with version control, testing, and debugging • Experience handling large-scale datasets and/or synthetic data generation or weakly supervised learning • Experience with authentication or identity matching and metric learning • Exposure to presentation attack detection and anti-spoofing research • Strong written and verbal communication in English Requisitos principales • Competitive compensation • Flexible working environment • International collaboration • Opportunities for career growth • Inclusive and diverse workplace • Remote-friendly policy

Buscamos un/a Data Scientist / ML Engineer con sólida experiencia en IA tradicional para incorporarse a un equipo de datos en expansión. La persona seleccionada será responsable de diseñar, entrenar y poner en producción modelos predictivos orientados a pricing dinámico, personalización de oferta y forecast de demanda en entornos retail de alto volumen. El rol requiere dominio del ciclo completo de un modelo: desde el análisis exploratorio y la ingeniería de features hasta el despliegue en producción mediante pipelines de CI/CD, garantizando que los outputs lleguen a los sistemas de negocio en tiempo y forma. Responsabilidades principales Modelado y experimentación Diseño y entrenamiento de modelos de regresión para forecast de demanda y elasticidad de precio. Gestión del ciclo de vida de modelos: versionado, retraining periódico y monitorización de drift. Integración en pipelines de CI/CD (GitHub Actions, GitLab CI o similar): testing, validación automática y promoción a producción. Monitorización de métricas de negocio y métricas técnicas (RMSE, AUC, precision@k) post-despliegue. Colaboración y comunicación Traducción de requisitos de negocio (pricing managers, category managers) en problemas formales de ML. Documentación clara de metodología, decisiones de modelado y resultados para audiencias técnicas y no técnicas. Participación en code reviews y en la definición de estándares del equipo de datos. 5+ años de experiencia en roles de Data Science o ML en entornos productivos. Dominio de Python científico. Lenguajes: Python (pandas, scikit-learn, numpy). SQL avanzado. CI/CD: Conocimiento general de pipelines de integración continua; experiencia empaquetando modelos con Docker y desplegando vía GitHub Actions, GitLab CI o similar. Experiencia con herramientas de tracking de experimentos: MLflow, W&B o similar. Capacidad de comunicar resultados de modelos a stakeholders no técnicos. Valorables Experiencia en retail, travel retail, e-commerce o industrias con pricing dinámico. Conocimiento de frameworks de orquestación de datos (Airflow, Prefect). Familiaridad con plataformas cloud: GCP (BigQuery, Vertex AI), AWS (SageMaker) o Azure ML. Experiencia con feature stores (Feast, Tecton) o arquitecturas de datos en tiempo real (Kafka, Flink). Conocimientos de A/B testing y experimentación online para validación de modelos en producción. #J-18808-Ljbffr

Experteer Overview En Accenture buscas incorporar un Data Scientist para transformar decisiones en la cadena de suministro mediante analítica avanzada e IA. Desarrollarás modelos predictivos y prescriptivos sobre datos de productos de suministro, ayudando a mejorar previsiones, inventario y rendimiento del servicio. Participarás en todo el ciclo de vida de IA, desde la definición del problema hasta el despliegue y seguimiento, con foco en impacto measurable y escalabilidad. Trabajarás junto a ingenieros de datos y stakeholders para traducir análisis en valor real para el negocio. Compensaciones / Beneficios • Traducir desafíos de negocio de la cadena de suministro en problemas y marcos analíticos • Desarrollar modelos predictivos y prescriptivos (demanda, optimización de inventario, predicción de nivel de servicio, análisis de lead-time) • Realizar análisis exploratorio y feature engineering con datos curados • Diseñar, entrenar, evaluar y optimizar modelos de ML • Aplicar técnicas estadísticas y metodologías de experimentación para validar impactos • Colaborar con Data Engineers para asegurar disponibilidad y escalabilidad de datos • Apoyar despliegue y monitorización de modelos en entornos cloud • Garantizar explainability, robustez y gobernanza de soluciones de IA • Cuantificar impacto empresarial mediante KPIs y medición de desempeño • Comunicar insights y resultados a audiencias técnicas y no técnicas Responsabilidades • 1-3 años en proyectos de Data u0026 AI (estrategia y/o desarrollo técnico) • Experiencia práctica en: Python (obligatorio), librerías ML (scikit-learn, XGBoost, TensorFlow, PyTorch o similares) • SQL para exploración de datos • Conocimientos en aprendizaje supervisado y no supervisado, series temporales, técnicas de optimización (básica de programación lineal o heurísticas) • Experiencia en entornos cloud (Azure ML, Databricks o similares) • Comprensión del ciclo de vida de IA (experimentos, despliegue, monitorización, gobernanza) • Capacidad de alinear soluciones analíticas con KPIs y valor medible • Mentalidad analítica y resolución de problemas • Excelentes habilidades de comunicación y simplificación de conceptos • Adaptabilidad y colaboración en entornos globales y dinámicos • Inglés suficiente (requisito); otros idiomas son un plus Requisitos principales • horario híbrido Barcelona/Madrid • oportunidades de certificación y aprendizaje continuo • compromiso con bienestar y desarrollo profesional • ambiente inclusivo y equitativo • trabajo en proyectos de impacto real • trabajo en equipo global

About the client We are working with a leading European specialty pharmaceutical company focused on the treatment of central nervous system (CNS) disorders that is currently seeking an Analytical Development Senior Scientist. Mission Design, develop, organize, perform, review, evaluate and report any analytical test according to the established quad guidelines (GxP, ICH, etc.) and the corresponding SOP to ensure reliability and quality data for the registration and marketing of new pharmaceutical drug products. Major Accountabilities Distribute, review, analyze and report all results of assigned projects to meet deadlines (development studies, validations, stability studies, etc.) in agreement with the project team. Develop, verify and/or validate required analytical methods. Work effectively and independently, adapting to a fast‑paced, rapidly changing environment, reporting to the team leader. Write and/or review SOPs and other relevant documents as part of analytical validation reports. Write different sections of Module III of the registration dossier in collaboration with Galenical scientists. Ensure correct calibration and maintenance of assigned instruments and equipment. Represent the Analysis Section in assigned project team meetings. Qualifications At least 3 years of experience developing similar functions in the pharmaceutical industry and working to EU GMP standards. Educational background in analytical techniques (HPLC, GC, ICP, MS, IFL, etc.). Proficiency with user‑level computer tools. Knowledge of risk assessment. Degree in chemical or pharmaceutical sciences. Proficiency in Spanish and English (minimum B2). Organized, planned, and strong team spirit. #J-18808-Ljbffr

Alignerr is seeking a Principal Clinical Scientist (AI Training) to bring senior-level rigor to AI-driven research workflows in biomedical data. This role emphasizes regulator-ready datasets and deep domain expertise. Design and review trial protocols, interpret results for regulatory relevance, and evaluate AI-generated analyses. You will identify gaps, provide structured feedback, and work independently on a flexible schedule from a remote location. #J-18808-Ljbffr

We develop and operate customised IT solutions for the Vorwerk Group and drive the digital transformation with innovative services and agile methods. Our vision: ‘We are your IT @Vorwerk’ • an integrated part of value creation and a reliable partner within the Group, which can look back on more than 140 years of history. As a successful international company, we offer a creative, collaborative work environment and support at every stage of life, ensuring work-life balance with various benefits. Join us in shaping the future of Vorwerk. The Data Engineer is responsible for the implementation of the appropriate data pipelines for different analytical use cases and to prepare and deliver data for requesters for business intelligence, data exploration, and advanced analytics. Main Responsibilities Conception and implementation of data ingestion and transformation processes to support data-driven applications, BI and Advanced analytics, and AI. Development of analysis-optimized data architectures based on data lakehouses and file-based storage systems (object stores). Ensuring the scalability and parallelizability of data management processes. Establishment of efficient operation of the data Lakehouse Preparation and provision of data for: Data Analysts Business Engineers Data Scientist. AI Engineers and Consultant Challenges Within the Scope of the Activity Ensuring seamless integration and consistency of data from diverse sources within the data lakehouse environment. Adhering to data management guidelines, standards, and processes specific to data lakehouses. Staying current with and implementing the latest technologies in the rapidly evolving data lakehouse and analytics landscape. Providing and maintaining scalable, secure, and efficient data lakehouse infrastructure on cloud platforms. Coordinating and communicating effectively to implement architectural principles and governance measures within data lakehouse projects. Expertise And Skills Several years of professional experience in the development of backend or data management systems, ideally within upscaling, massively parallel environments. Very good knowledge of SQL and Python as well as basics of cloud infrastructure. Good knowledge of the implementation and application of integration and transformation processes, concepts and technologies. Experience with Data Orchestration tools, such as Apache Airflow. Experience with dbt, IaC (terraform) and DevOps principles like github or azure devops (Nice to have). Experience with data quality frameworks (Nice to have) Experience with cloud platforms highly desirable. Successfully completed Bacherlor‘s degree in Information Technology or comparable. 3-5 years of professional experience as "Data Engineer" Structured thinking and very good analytical skills Benefits That Truly Fit You Exciting challenges & career growth – Take on impactful challanges in an agile environment and actively shape your professional development. Team success & continuous learning – We foster a culture of collaboration and shared achievements while investing in your ongoing growth, including an annual €2,500 budget for training, courses, and professional development opportunities. Flexibility that fits your life – Enjoy flexible working hours with flextime options, 25 days of vacation, and half a day off on your birthday. Health & Well-being – Enjoy private health insurance with Sanitas, providing comprehensive medical coverage for your peace of mind, with the option to include your family members, along with access to on-site sports facilities to support your well-being. Annual Variable Bonus – Earn a performance-based bonus as a percentage of your annual gross salary (pro-rated), linked to both your personal achievements and the company's financial results. Product Discount – Get a 50% discount on TM and Kobold vacuum cleaners, available for new purchases every three years. Language Learning – Access online English and German classes to enhance your language skills and support your professional growth. Flexible Compensation – Customize your benefits by allocating part of your salary to expenses like transport tickets, meal vouchers, and more, optimizing your tax savings and overall compensation. #J-18808-Ljbffr

ph3Forward Deployed AI Scientist, Spain – BCG X – Madrid, Spain /h3 pbLocations /b: Madrid | Madrid /p h3What You’ll Do /h3 pOur BCG X teams own the full analytics value-chain end to end: framing new business challenges, designing innovative algorithms, implementing, and deploying scalable solutions, and enabling colleagues and clients to fully embrace AI. Our product offerings span from fully custom-builds to industry specific leading edge AI software solutions. /p pOur Forward Deployed AI Scientist and Senior Forward Deployed AI Scientist are part of our rapidly growing team to apply data science methods and analytics to real-world business situations across industries to drive significant business impact. You’ll have the chance to partner with clients in a variety of BCG regions and industries, and on key topics like climate change, enabling them to design, build, and deploy new and innovative solutions. /p pAdditional responsibilities will include developing and delivering thought leadership in scientific communities and papers as well as leading conferences on behalf of BCG X. Successful candidates are intellectually curious builders who are biased toward action, creative, and communicative. /p h3Desired Qualifications /h3 ul liComfortable in a client-facing role with the ambition to lead teams /li liLikes to distill complex results or processes into simple, clear visualizations /li liExplain sophisticated data science concepts in an understandable manner /li liLove building things and are comfortable working with modern development tools and writing code collaboratively (bonus points if you have a software development or DevOps experience) /li liSignificant experience applying advanced analytics to a variety of business situations and a proven ability to synthesize complex data /li liDeep understanding of modern machine learning techniques and their mathematical underpinnings, and can translate this into business implications for our clients /li liHave strong project management skills /li liFluency in English and Spanish is required /li /ul h3Requirements /h3 ul liMaster’s or PhD degree program in Computer Research Science, Data Science, Statistics, Operations Research, or related field /li /ul h3Technologies /h3 ul liProgramming Languages: Python /li /ul pBoston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E – Verify Employer. Click here for more information on E-Verify. /p /p #J-18808-Ljbffr

IQVIA in Madrid seeks a Data Scientist to build data engineering and ML tools for large medical datasets, addressing healthcare challenges and improving patient outcomes. You will collaborate with cross-functional teams to deploy scalable ML offerings and ensure robust quality controls. You should have a Master's degree in a related field, strong Python/R and SQL skills, experience with Big Data, and fluency in English. A consulting mindset and attention to detail are highly valued in this role. #J-18808-Ljbffr

A leading consultancy firm in Madrid is seeking a Senior Data Scientist with 2-4 years of experience. The role focuses on developing advanced machine learning and time series models to derive insights from data. Key responsibilities include model development, enhancing data collection, and conducting ad-hoc analyses. Candidates must hold a relevant university degree, be proficient in Python, and have strong communication skills in both Spanish and English. This position offers a dynamic work environment at the forefront of data analytics.br#J-18808-Ljbffr

pJobtailor in Madrid seeks a data scientist/quant analyst to design segmentation models, predictive engines, and pricing frameworks for FX markets. You will build and deploy models into production and work with global quant teams. /ppThe role requires 2–5 years in finance, advanced math, and strong Python, PySpark, SQL skills, plus experience with ML libraries and AWS SageMaker. Spanish and English proficiency is required. /p #J-18808-Ljbffr

Jobtailor in Madrid seeks a data scientist/quant analyst to design segmentation models, predictive engines, and pricing frameworks for FX markets. You will build and deploy models into production and work with global quant teams. The role requires 2–5 years in finance, advanced math, and strong Python, Py Spark, SQL skills, plus experience with ML libraries and AWS Sage Maker. Spanish and English proficiency is required. #J-18808-Ljbffr

Prime Insights, a Sweden-based technology company, seeks a Data Scientist to build predictive models, recommendation engines, and experimentation frameworks to improve user engagement, LTV, and fraud detection in a high-scale product environment. Experience in AdTech, Gaming, or FinTech is a strong plus; expect to work on predictive targeting, LTV modeling, and fraud detection within our Central Data Team. This is a full-time position. #J-18808-Ljbffr

pYO IT Consulting is seeking a Data Scientist for a remote contractor role. You will apply statistical techniques to train AI systems, build and validate models, and deliver insights through clear visualizations. No prior AI domain experience required; domain knowledge matters. /ppYou will preprocess data, develop predictive models, and communicate results to both technical and non-technical stakeholders while collaborating with the team on end-to-end data projects. /p #J-18808-Ljbffr

pAccenture in Madrid seeks an AI/ML Computational Scientist to design and operationalize production-ready AI/ML solutions, spanning problem framing to scalable data pipelines and DevOps/MLOps. /ppYou will tailor deep learning and Gen AI models for enterprise use, work with cross-functional teams, and deliver end-to-end projects across cloud, on-premise, and edge contexts. /ppRole emphasizes hands-on deployment, monitoring, and governance of ML systems at scale within enterprise environments. /p #J-18808-Ljbffr

Syngenta is seeking a Trait Assessment Scientist for the El Ejido site in Almería, Spain. You will lead disease resistance evaluations, design and validate phenotyping workflows, and generate high‑quality data to support variety development and trait prioritization. The role suits an experienced plant pathology professional or a recently finished PhD with vegetable crop expertise, offering collaboration across pathology, breeding, and data science teams. #J-18808-Ljbffr

Experteer Overview In this role you design and conduct clinical studies to assess safety and efficacy of innovative therapies. You work within the clinical development team to shape protocols, study documents, and data strategies, ensuring scientific rigour and regulatory alignment. You will drive data review and insights across the study lifecycle, support pharmacovigilance and regulatory activities, and help train and enable trial teams. This position offers impact across global studies with a patient-focused mission and opportunities to improve trial quality and safety. Compensaciones / Beneficios • Design and conduct clinical studies and develop protocols to high scientific and regulatory standards • Draft amendments to protocols in collaboration with the clinical lead • Create study-level documents and regulatory submissions such as Investigator's Brochures and safety updates • Review and write clinical trial documents for CTR activities and publications • Support pharmacovigilance activities, including aggregate reports and patient narratives • Assist regulatory activities and preparation for meetings with agencies • Produce training materials and train trial teams • Participate in study-level meetings and data review governance • Develop data review strategy to ensure protocol adherence and consistent implementation across sites • Perform in-depth clinical data review, identify insights, and support interim analyses and post-lock activities • Improve quality of data reviews and implement data analytics enhancements • Collaborate closely with the clinical development lead to address medical oversight questions Responsabilidades • Advanced degree in life sciences/healthcare or clinically relevant degree • Minimum 5+ years' experience as a Clinical Scientist • Oncology experience is a big plus • Knowledge of global clinical study setup, organization and execution in pharma or CRO • Strong understanding of clinical data collection and reporting; proficient with data tools (e.g., EDC, Excel) • Ability to drive process and tool improvements • Experience working in a matrix environment with informal influencing ability • Home Based with no travel Requisitos principales • Annual leave entitlements • Health insurance offerings • Competitive retirement planning • Global Employee Assistance Programme, LifeWorks • Life assurance • Flexible country-specific optional benefits

Mission A Bioanalytics Scientist is sought to join the Bioanalytics, CMC Product Development area within the Scientific Innovation Office at Grifols, a company specialized in the research, development, and manufacturing of purified plasma-derived therapeutic proteins obtained through the fractionation of human plasma. Main Mission The successful candidate will be responsible for initiating, planning, coordinating, and executing the technical aspects of assigned projects within the established timelines. They will ensure that all analytical developments, method validations, and related activities are performed in compliance with internal procedures and applicable Good Manufacturing Practice (GMP) regulations. What your responsibilities will be Design, plan, and oversee laboratory studies and experimental activities to ensure high-quality scientific outcomes. Analyze and interpret experimental data, including statistical analysis, trend evaluation, and graphical data presentation. Prepare and present scientific results through clear technical reports, presentations, and cross-functional communications. Develop, optimize, and validate new laboratory methods in accordance with applicable scientific and regulatory standards. Conduct scientific literature reviews and bibliographic research to support project development and innovation. Ensure the stability, characterization, and analytical evaluation of biological products throughout the product lifecycle. Author study protocols, technical reports, and scientific documentation, ensuring accuracy, traceability, and compliance with quality requirements. Who you are To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skills, education, and/or ability required. Bachelor's degree in Life Sciences, such as Pharmacy, Biology, Chemistry, Biochemistry, or a related field. A Master's and/or PhD in a relevant discipline is considered an advantage. At least 2 years of research experience, preferably within the pharmaceutical industry. Experience with in vitro and/or in vivo studies is highly desirable. Solid knowledge of GMP, GLP, ICH guidelines, and other relevant regulatory standards. Strong understanding of statistical analysis and data interpretation. Advanced English proficiency (C1 level), both written and spoken. Proficiency in Microsoft Office, particularly Excel, experience with GraphPad Prism is a plus. Excellent time management and prioritization skills. Strong communication and presentation abilities. High level of analytical thinking, attention to detail, and accuracy. Ability to work effectively in cross-functional teams. A proactive, committed, and enthusiastic attitude, with a genuine passion for scientific research and continuous improvement. Benefits package Flexibility for U Program: On site. Contract of Employment: Temporary position. Equal Employment Opportunity Grifols is an equal opportunity employer. We believe in diverse talent and want to remove any barriers that may hinder your participation. If you require any adjustments in our selection process, please do not hesitate to inform us when applying. We are here to help. #J-18808-Ljbffr

Would you like to join an international team working to improve the future of healthcare? Do you want to enhance the lives of millions of people? Grifols is a global healthcare company that since 1909 has been working to improve the health and well‑being of people around the world. We are leaders in plasma‑derived medicines and transfusion medicine and develop, produce and market innovative medicines, solutions and services in more than 110 countries and regions. We believe that diversity adds value to our business, our teams, and our culture. We are committed to equal employment opportunities, fostering an inclusive environment where diversity makes us outstanding. Mission A Bioanalytics Scientist is sought to join the Bioanalytics, CMC Product Development area within the Scientific Innovation Office at Grifols, a company specialized in the research, development, and manufacturing of purified plasma‑derived therapeutic proteins obtained through the fractionation of human plasma. Main Mission The successful candidate will be responsible for initiating, planning, coordinating, and executing the technical aspects of assigned projects within the established timelines. They will ensure that all analytical developments, method validations, and related activities are performed in compliance with internal procedures and applicable Good Manufacturing Practice (GMP) regulations. What Your Responsibilities Will Be Design, plan, and oversee laboratory studies and experimental activities to ensure high-quality scientific outcomes. Analyze and interpret experimental data, including statistical analysis, trend evaluation, and graphical data presentation. Prepare and present scientific results through clear technical reports, presentations, and cross‑functional communications. Develop, optimize, and validate new laboratory methods in accordance with applicable scientific and regulatory standards. Conduct scientific literature reviews and bibliographic research to support project development and innovation. Ensure the stability, characterization, and analytical evaluation of biological products throughout the product lifecycle. Author study protocols, technical reports, and scientific documentation, ensuring accuracy, traceability, and compliance with quality requirements. Who You Are Bachelor's degree in Life Sciences, such as Pharmacy, Biology, Chemistry, Biochemistry, or a related field. A Master's and/or PhD in a relevant discipline is considered an advantage. At least 2 years of research experience, preferably within the pharmaceutical industry. Experience with in vitro and/or in vivo studies is highly desirable. Solid knowledge of GMP, GLP, ICH guidelines, and other relevant regulatory standards. Strong understanding of statistical analysis and data interpretation. Advanced English proficiency (C1 level), both written and spoken. Proficiency in Microsoft Office, particularly Excel, and experience with GraphPad Prism is a plus. Excellent time management and prioritization skills. Strong communication and presentation abilities. High level of analytical thinking, attention to detail, and accuracy. Ability to work effectively in cross‑functional teams. A proactive, committed, and enthusiastic attitude, with a genuine passion for scientific research and continuous improvement. What We Offer It is a brilliant opportunity for you. Grifols is fully aware that its employees are one of its major assets. We are committed to maintaining an atmosphere that encourages all our employees to develop their professional careers in an excellent working environment. We look forward to receiving your application! We believe in diverse talent and want to remove any barriers that may hinder your participation. If you require any adjustments in our selection process, please let us know. Grifols is an equal opportunity employer. Flexibility for U Program: On site. Benefits Package Contract of Employment: Temporary position. Location Parets del Vallès, Spain. Information about Grifols is available at www.grifols.com. If you are interested in joining our company and you have what it takes for such an exciting position, then don’t hesitate to apply! #J-18808-Ljbffr

Overview In this role you will design and operationalize AI/ML solutions for enterprise clients, combining custom models with cloud services to deliver production-ready outcomes. You will span the full lifecycle from problem framing to scalable data pipelines and DevOps/MLOps. You will customize Deep Learning and Gen AI models, including LLMs, for business use cases across cloud, on-premise, and edge contexts. You will collaborate with cross-functional teams to justify value and drive durable impact. Compensations / Benefits Formulate real-world problems into scalable AI/ML solutions Develop ML algorithms and models; build scalable data pipelines for training and production Customize deep learning and Gen AI models to meet business needs Design DevOps & MLOps pipelines; support production and monitoring Engage in R&D of new AI/HP compute algorithms and simulations Work with large-scale datasets; apply data preprocessing for high-quality inputs Implement efficient data storage and retrieval for models and knowledge Justify model approaches and business value Collaborate with business, engineers, and designers to deliver end-to-end projects Responsibilities Proven experience deploying ML models in production at scale, with monitoring and auditing Experience in computer science fundamentals and programming Hands-on experience with distributed computing, big data, and cloud/HPC environments Experience building and deploying AI/ML software to cloud environments Qualifications Certifications and learning opportunities Inclusive workplace Well-being support Ai/Ml Computational Scientist • Madrid, Kingdom Of Spain, ES #J-18808-Ljbffr

Brief info about Vinted Our mission is to make second-hand the first choice, and we're looking for people who want to help us get there. Every day, we work together to help our members buy and sell pre-loved clothing and lifestyle items, giving each piece a second life – or even a third. The Vinted Group is made up of three business units that support this mission. Vinted Marketplace is Europe’s leading platform for second-hand fashion and a go-to destination for all kinds of pre-loved items, with a growing range of categories. Our platform connects millions of members across 20+ markets, helping great items find a new life. Vinted Go enhances the shipping experience with a vast network of over 500,000 pick-up and drop-off points, partnering with more than 60 carriers across Europe, with added services like item verification for peace of mind on high-value pieces. Vinted Pay is the newest part of the Vinted Group, dedicated to bringing secure, reliable payments to buyers and sellers across Europe. Seamlessly integrated into the Vinted app, it helps keep every transaction safe, efficient, and easy for our members. Founded in 2008 in Lithuania, Vinted began as a way for friends to find new homes for clothes they no longer needed. In 2019, we became Lithuania's first unicorn! Today, our headquarters remain in Vilnius, and we've grown with offices across Europe, supported by a team of over 2,000 people. Information about the position We are launching a brand-new Automation Team within the Vinted Pay domain. This team will be structurally different from other product teams at Vinted because it operates in a non-PDA setup(No Product Manager, Product Designer, or Decision Scientist by design). We believe that automation is a deeply technical and operational challenge that should be spearheaded directly by engineering. As the Engineering Managerof the Automation Team, you will wear two hats: leading your team of Backend Engineers and acting as the Product Manager. You will own the entire lifecycle of the team’s deliverables — from early-stage product discovery and requirements gathering with key stakeholders to technical design, delivery, and scaling. Initially, your team will focus on automating mission-critical compliance and operational flows, including: Financial Authority Reporting: Automating complex reporting pipelines for central banks and regulators Compliance Operations (SARs & STARs): Automating Suspicious Activity Reports (SARs) and Suspicious Transaction Activity Reports (STARs) in collaboration with our AML and Legal teams. Incident Reporting & Monitoring: Seamlessly automating incident tracking, alerting, and SLA triggers within Vinted Pay. In this position, you’ll Product & Delivery Management (Acting as PM) Own Product Discovery: Partner closely with high-level stakeholders — including Compliance, AML Legal, Risk, Finance, and Customer Support — to understand regulatory, legal, and operational problems. Write Product Requirements: Translate complex financial, compliance, and regulatory guidelines into clear, structured functional requirements, product briefs, and technical epics. Set the Vision & Roadmap: Define your team’s long-term automation strategy, map out milestones, set Quarterly OKRs, and prioritize the backlog based on business impact and legal deadlines. Manage Stakeholder Alignment: Act as the primary interface for Vinted Pay leadership on automation capabilities, communicating delivery status, technical trade-offs, and risk mitigations. People Leadership & Team Health Nurture & Grow Engineers: Direct-line manage a team of Backend Engineers (IC2-IC4). Identify their development needs, set impact and growth goals, conduct impactful 1:1s, and run performance reviews through our People Growth & Impact Cycle (PGIC). Foster psychological safety: Create a healthy, autonomous, and high-performing team environment that values curiosity, continuous learning, and co-creation. Hiring & Capability Planning: Take ownership of recruiting and onboarding new engineering talent as the team expands to match Vinted Pay's growth. Technical & Process Excellence Ensure Quality of Engineering: Oversee the delivery lifecycle. Ensure that the team writes highly performant, secure, and scalable automated systems (mostly in Go or Ruby ) that adhere to our domain's architectural standards. Manage Technical Debt: Proactively identify and manage technical debt, balancing pragmatic short-term deliveries with long-term architectural health. Own Service Reliability & Incidents: Establish clear Service Level Indicators (SLIs) and Service Level Objectives (SLOs) for your automation systems. Ensure robust monitoring and a structured process for incident management. About you We are looking for a hybrid leader who possesses both strong engineering management fundamentals and a proven product sense. Dual Experience: You have previous experience as an Engineering Manager, Technical Program Manager, or a highly technical Product Manager. You have a track record of successfully managing engineering delivery and people while writing requirements and driving product roadmaps. Regulated Domain Exposure: You have spent time working in a Fin Tech, Payments, Banking, or highly regulated compliance/operations environment. Experience dealing with AML, KYC, transaction monitoring, or regulatory reporting is a major plus. Exceptional Communication: You excel at breaking down highly complex regulatory, legal, and compliance concepts into clear, actionable technical requirements for developers, while confidently explaining technical trade-offs to non-technical stakeholders. Pragmatic and Non-Dogmatic: You believe in using "the right tool for the job." You understand that "automate everything" is not always the answer, and you can make smart, data-driven trade-offs between speed, cost, and completeness. Solid Technical Roots: Having a background in software engineering (ideally service-oriented architecture/microservices) would be a major plus. While you won't be writing code daily, you would be able to spar with senior backend engineers on system design, APIs, and databases. Growth Mindset: You actively seek feedback, are adaptable to changing circumstances, and enjoy building systems from scratch in highly ambiguous problem spaces. Work perks The opportunity to benefit from our share options programme 25 working days of holiday Access to all the tools & tech needed for work Home office support: we provide IT workstation equipment and a personal budget of up to €540 for home workplace furniture Private health insurance Mental and emotional health support through the Mindletic app Frequent team-building events A personal monthly budget for shopping on Vinted The opportunity to spend up to 90 days per year - 21 of which can be spent working outside of the EU - on workation A dog-friendly office In Vilnius office: Gym & in-house meals at friendly prices In Kaunas office: a monthly lunch allowance, and a once-a-week provided in-house lunch and breakfast Working at Vinted Individual Learning Budget We invest in your professional growth! As part of our commitment to continuous learning, we offer an annual learning budget to support your personal and career development through courses, certifications, workshops and more. Hybrid Work We’ve adopted a hybrid workplace model where 2 days in the office are recommended but not enforced. It’s up to you and your team to decide on the exact days you’ll spend working together in person. Equal Opportunity The Vinted Group is committed to building an inclusive workplace where people from all walks of life feel a sense of belonging. We welcome applications from people of all backgrounds, identities and life experiences. At Vinted, all applicants are treated fair without regard to their race, age, religion or belief, sex, national origin, citizenship, gender identity, sexual orientation, disability, or any other protected characteristic. The gross monthly salary range for this position is: €6.658—€9.008 EUR #J-18808-Ljbffr

As an AI/ML Computational Scientist, you will design, build, and operationalize artificial intelligence and machine learning solutions for enterprise clients, combining custom models with cloud and third-party AI services to deliver production-ready outcomes. Your role spans the full solution lifecycle — assessing client needs and data, selecting and customizing models (including Deep Learning, Generative AI, and Large Language Models), designing scalable data and DevOps & MLOps pipelines for training and production, and ensuring quality, value, and reliability of deployed systems. As an AI/ML Computational Scientist, you will design, build, and operationalize artificial intelligence and machine learning solutions for enterprise clients, combining custom models with cloud and third-party AI services to deliver production-ready outcomes. Your role spans the full solution lifecycle — assessing client needs and data, selecting and customizing models (including Deep Learning, Generative AI, and Large Language Models), designing scalable data and DevOps & MLOps pipelines for training and production, and ensuring quality, value, and reliability of deployed systems. • Formulate real-world problems into practical, efficient, and scalable AI and Machine Learning solutions, • Develop and implement machine learning algorithms, models, and computational systems; design and build scalable data pipelines to support model training and production with DevOps & MLOps, • Customize and apply Deep Learning and Gen AI models for various use cases based on the business needs, data availability, system and infrastructure requirements - including edge device and HPC, • Engage in research and development of new AI and high-performance compute algorithms, models, and simulations along with their applications to solve complex business problems at client sites, • Work with large-scale datasets and utilize data preprocessing techniques to ensure high-quality input for training and production, • Implement and maintain efficient data storage and retrieval mechanisms for models and knowledge using appropriate tools, • Justify the value of model approaches in business problems, • Collaborate with teams from both business and technical sides, including users, use case representatives, business owners, engineers, architects, and UI designers, to achieve end-to-end project goals and integrate into production, • Bachelor's Degree or equivalent, • Proven experience as a machine learning engineer or scientist, deploying models in production at scale , including monitoring, alerting, automatic bug filing and auditing., • Experience in applying theoretical foundations of computer science, including computer system architecture, system engineering, and programming, • Hands-on experience in distributed computing systems and architecture that may include big data, high-performance compute, engineering simulations, scientific compute, grid and cloud computing, distributed networks, • Experience in building and deploying AI/ML based software to a cloud environment., • Proficiency in Python and python-based AI/ML framework and familiarity with relevant libraries and frameworks (e.g., TensorFlow, PyTorch).., • Experience working with language models like LLM's APIs and optimizing their usage for specific applications., • Experience with the following programming languages: Python, C++, Java, R, SQL, • Strong written & verbal communication skills and ability to communicate complex technical concepts to non-technical stakeholders, • Strong client-facing skillsets in a consulting environment, • Strong cross-functional skills with the ability to collaborate with a variety of internal and client-side teams, • Entrepreneurial mindset with a curiosity and passion for emergent tech and driving innovation, • MS or PhD in related field preferred (computer science, engineering, etc.) At Accenture, recognized as a Great Place To Work®, we are committed to a hybrid work model that, supported by technology and our office spaces, enables us to maintain the essential human connection needed to collaborate effectively with our teams and clients. This connection helps us foster our culture of inclusion and diversity and has contributed to being recognized by Refinitiv as one of the world's most diverse companies. In addition, we offer: • Private medical, life, and accident insurance., • Medical services and wellbeing programs., • Flexible benefits program and employee share purchase plan., • Flexible working arrangements (working hours, additional leave days, vacation options, and more)., • Personalized learning and career development paths., • Sustainability initiatives and opportunities to participate in the Accenture Foundation., • Employee diversity and inclusion networks., • Additional benefits, including special banking conditions through our Bankinter office and profit-sharing programs #J-18808-Ljbffr

Overview We're Growing Our AI Dream Team! We're not big on titles, but let's call this one Data Scientist for the team. As part of our international AI/ML squad, you'll craft tailor-made solutions that wow our clients. We're hunting for a passionate AI Engineer with a solid technical background. Your mission? Train, deploy, and put groundbreaking developments into action — and that's just the beginning. What you will do You'll tackle the unique challenges of AI-powered software alongside a team of brilliant minds You'll dive into cutting-edge projects using the latest tech to push boundaries and make an impact Whether you prefer working from home or joining us at our offices, the choice is yours AGILE isn't just a buzzword here — it's how we roll. Multidisciplinary teams? Check. Full ownership of projects? Double check Ready to take on projects that matter, with a team that's as passionate as you are? Let's make it happen! Responsibilities Participating in the design and development of AI solutions for challenging projects Building production level ML/AI solutions, with solid software engineering and ML/AI principles MLOps: automated deployment and monitoring of models and infrastructure Data analysis (data cleaning, variable transformation, etc.) Developing and training ML models Putting AI models into production Parallelizing, optimizing, tuning, and testing models to deploy in a production environment Requirements More than 7 years of experience in AI / Machine Learning / Computer Science Ability to build an end-to-end software product with a machine learning component Knowledge in applied computer vision Strong skills in Python and reasonable SQL understanding Experience in building ML/deep learning pipelines and models Experience in implementing production-ready ML models using current ML/Deep learning techniques MLOps experience is valuable Experience in NLP projects is necessary English is mandatory Nice to have Experience with deep learning frameworks like TensorFlow, PyTorch, etc. Experience with Big Data projects and tools Experience writing RESTful web services Experience with DevOps tools (Docker, CI/CD, etc.) Experience with source code version control tools Experience working with Azure or other cloud platforms Azure Machine Learning experience is a plus Experience with Natural Language Processing, Computer Vision, recommendation systems, unsupervised learning, ranking systems or similar TensorFlow Lite, TensorFlow Serving, gRPC Unit testing knowledge Solid object-oriented programming skills Benefits Salary determined by the market and your experience Flexible schedule (35 hours / Week) Fully remote work (optional) Flexible compensation (restaurant, transport, and childcare) Medical and dental insurance (for the employee) Individual budget for training or equipment and free Microsoft certifications English lessons Birthday day off Monthly bonus for electricity and Internet expenses at home Discount on gym plans and sports activities Annual team-building events Other perks: events attendance and speakers, welcome pack, baby basket, Christmas basket, and access to a employee discount portal The opportunity to work with the latest technological tools Selection process Simple, three steps: Phone screen Two interviews with the team About Plain Concepts Plain Concepts is a global company of over 500 people passionate about technology and innovation. We operate in more than 6 countries and work to drive cutting-edge projects worldwide. We are committed to technical excellence and known for developing customized projects, offering specialized technical consultancy and training. We pride ourselves on being a 100% technical team, dedicated to crafting custom projects from scratch, offering expert technical consultancy, and providing top-tier training. Our approach goes beyond traditional outsourcing; we focus on creating value with our clients. Our teams are diverse and multidisciplinary, operating in a flat, collaborative structure. We live and breathe AGILE principles and encourage knowledge-sharing and innovation. What we do We are a 100% technical team focused on crafting custom projects, offering consultancy, and providing training. We value transparency and long-term partnerships and welcome bold ideas. Want to learn more? Check out our website: plainconcepts.com Plain Concepts is an equal opportunity employer. We value diversity and do not discriminate based on race, color, gender, religion, national origin, citizenship, disability, age, sexual orientation, or any other characteristic protected by law. #J-18808-Ljbffr

ppSantander ( está evolucionando de una marca global de alto impacto a una organización impulsada por la tecnología, y nuestra gente está en el centro de este viaje. bJuntos /b, estamos impulsando una btransformación centrada en el cliente /b que valora el pensamiento audaz, la innovación y el bcoraje para desafiar lo /b que es posible.br/Esto es más que un cambio estratégico. bEs una oportunidad para que los profesionales motivados crezcan, aprendan y marquen una diferencia real /b. Nuestra misión es contribuir a ayudar a más bpersonas y empresas a prosperar /b. Adoptamos una sólida cultura de riesgo y se espera que todos nuestros profesionales en todos los niveles adopten un enfoque proactivo y responsable hacia la gestión de riesgos. /p h3LA DIFERENCIA QUE MARCAS /h3 pModelos – Empresas (CDAIO) está buscando un Data Scientist basado en Madrid. /p h3RESPONSABILIDADES /h3 ul liIdentificar y comprender las necesidades y retos del negocio, traduciéndolos en soluciones analíticas y técnicas alineadas con los objetivos comerciales. /li liComprender los productos y procesos de comercialización dirigidos al segmento de empresas para garantizar la adecuada aplicación de las soluciones desarrolladas. /li liPreparar, transformar y explotar datos para la generación de inputs y variables de valor para el negocio y para el desarrollo de modelos analíticos. /li liDiseñar, desarrollar e implantar modelos predictivos, segmentaciones, eventos y soluciones de Inteligencia Artificial cubriendo su ciclo de vida completo. /li liDocumentar análisis, metodologías y procesos, asegurando su trazabilidad y facilitando la comunicación y adopción por parte de las áreas de negocio. /li liEvaluar y monitorizar el impacto de las iniciativas desarrolladas sobre clientes, procesos y acciones comerciales, identificando oportunidades de mejora continua. /li /ul h3LO QUE APORTARÁS /h3 pLos siguientes requisitos representan el conocimiento, las habilidades y las destrezas esenciales para el éxito en este puesto. Se pueden hacer adaptaciones razonables para permitir que las personas con discapacidades realicen las funciones esenciales. /p h3EXPERIENCIA PROFESIONAL /h3 ul liMás de 3 años de experiencia en analítica avanzada, automatización y ciencia de datos (Obligatorio). /li liConocimiento del negocio bancario de empresas y de la comercialización de productos para este segmento (Preferido). /li liExperiencia en desarrollo de modelos predictivos e IA (Preferido). /li /ul h3EDUCACIÓN /h3 ul liGrado universitario en Matemáticas, Física, Estadística o Ingeniería (Obligatorio). /li liMáster en Ciencia de Datos, Inteligencia Artificial o Big Data (Preferido). /li /ul h3IDIOMAS /h3 ul liInglés nivel medio (Obligatorio). /li /ul h3HABILIDADES DURAS /h3 ul liPySpark nivel experto (Obligatorio). /li liPython nivel experto (Obligatorio). /li liDatabricks nivel experto (Obligatorio). /li liSQL nivel experto (Obligatorio). /li /ul h3HABILIDADES BLANDAS /h3 ul liPensamiento analítico. /li liComunicación efectiva con áreas de negocio. /li liOrientación a resultados y mejora continua. /li /ul h3BENEFICIOS /h3 ul liPermite que nuestros equipos vayan más allá a través de oportunidades globales y amplias trayectorias profesionales. /li liFlexibilidad que funciona. Disfruta de modelos de trabajo híbridos, algunos días remotos, otros días presenciales con tu equipo, junto con horarios flexibles. /li liAprendizaje para la vida. Accede a cientos de cursos en nuestras plataformas, incluido el acceso exclusivo a nuestro espacio de aprendizaje global: Santander Open Academy ( /li liRecompensas competitivas. Recibe un salario altamente competitivo con bonos basados en el desempeño, motivándote a seguir creciendo con nosotros. /li liVentajas financieras. Benefíciese de condiciones bancarias preferenciales, tasas de interés especiales en préstamos, seguros de vida y más. /li liTu salud es nuestra prioridad. A través de BeHealthy, nuestro programa global de bienestar, promovemos el bienestar holístico. /li liSabemos que la familia lo es todo. Es por eso que ofrecemos apoyo para el cuidado de niños y programas familiares adaptados a cada etapa de la vida. /li liSiempre a tu lado. Accede a Santander Contigo, nuestro programa para empleados y sus familias que ofrece servicios de asesoría legal, emocional y administrativa. /li liBeneficios adicionales. Membresía de gimnasio/WellHub, centros médicos en algunas de nuestras instalaciones, subsidio de comidas, estacionamiento, servicio de transporte desde varios puntos de Madrid, así como descuentos y ofertas exclusivas para empleados de Santander. Y eso es solo el comienzo: te contaremos más cuando te unas. /li /ul h3¿QUÉ HACER A CONTINUACIÓN? /h3 pSi esto suena como un puesto que le interesa, presente su solicitud. /p h3¿LISTO PARA DAR EL SIGUIENTE PASO EN TU VIAJE? /h3 /p #J-18808-Ljbffr

Una empresa consultora está buscando un/a Senior Data Scientist con sólida experiencia en Machine Learning clásico y modelado predictivo, para liderar el desarrollo y evaluación de modelos avanzados. El rol implica tanto trabajo técnico como diseño de soluciones, y se ofrece un entorno híbrido en Alcobendas. Se valoran habilidades en Python, análisis de series temporales y experiencia en entornos productivos. Ofrecemos contratación indefinida y beneficios como retribución flexible.br#J-18808-Ljbffr

Ebury is seeking a Data Scientist - Growth in Madrid to bridge advanced data science with real-world sales execution. You will own growth modelling and predictive analytics, developing Lead Scoring, conversion, and profitability models, and collaborating with data engineers and sales analysts to int

InterEx Group in Madrid is seeking a Data Scientist to join their Global Consulting Partner team. Location is Madrid, Spain with hybrid working.

DATA SCIENTIST – MODELOS COMERCIALES. Data Scientist – Modelos Comerciales. Diseñar, desarrollar y mantener modelos analíticos y comerciales.

Pivotal in Madrid is hiring an experienced Clinical Data Scientist — AI & Automation to drive intelligent, compliant clinical data workflows in a fast‑moving CRO environment. English fluency required and a passion for applying data science to improve trial performance.

Kharon in Madrid is seeking a Data Scientist for Retrieval & Agentic Systems to help advance Corestream, our risk intelligence feed, and drive high-quality results for customers. Join a team responsible for semantic search design, RAG pipelines, and narrative generation that translates graph and ana

Interex Group is expanding its Data & Analytics team in Madrid, offering a hybrid working arrangement. The role focuses on delivering data science services to top market clients, with opportunities to work on diverse technologies and client-facing projects.

A leading FinTech scale-up in Madrid is seeking a Data Scientist/Quantitative Developer to work on complex systems. Candidates should have a strong educational background, advanced programming skills, and experience in data science.

Main tasks and accountabilities will be: Lead end-to-end development of data-driven models, from exploratory analysis and feature engineering to modelling, validation, deployment, monitoring, and comprehensive documentation Design, build, and optimise robust data pipelines to ensure high-quality

Location: Madrid (Hybrid: 4 days office / 1 day WFH).Stack: Python, SQL, GCP (BigQuery, AI Platform, Cloud Functions), ML Libraries, CRM (Salesforce), LLMs.Ebury is executing an ambitious strategic growth plan across multiple business verticals.To power this expansion, we need to bridge the gap betw

Sandoz is seeking an experienced data scientist/ML engineer to tackle complex business problems by building scalable ML solutions. You will collaborate across teams to translate insights into actionable business impact and contribute to production-grade data pipelines.

Resumen de la posición Ubicaciones posibles: Madrid, Barcelona, Jaén, Granada, Córdoba, Málaga, Sevilla o Almería Modalidad de trabajo: híbrida Contrato: indefinido, proyecto estable en sector fintech En KENOS Technology acompañamos la transformación digital de empresas del sector financiero

Data Engineering & Vector Databases Data Engineering & Processing: Work with structured and unstructured data, building efficient pipelines for data ingestion, preprocessing, and feature engineering. The data scientist will develop advanced AI solutions, with a strong focus on Generative AI, LLM-bas

Vibrant Culture: Join a collaborative environment in our Madrid office where Data Engineers, Data Scientists, Analytics Engineers, and Analysts work as one. Proficiency in SQL for querying and managing large datasets, as well as experience working with both structured and unstructured data sources.

Santander en Madrid busca un Data Scientist para aportar valor al negocio de empresas mediante analítica avanzada, ML e IA. Se valoran maestría y experiencia en PySpark, Python, Databricks y SQL.

Roche Holding AG recherche un Data Scientist - Enterprise Search pour concevoir et développer les architectures de recherche d’entreprise de prochaine génération, axées sur l’IA générative et les systèmes de récupération d’information à l’échelle de l’entreprise.

QuantIA Ingeniería y Consultoría en Madrid busca un Junior Data Scientist para integrarse en la unidad de IA Avanzada.

BIP busca un/a Ingeniero/a de IA centrado en Generative AI y Databricks para su Centro de Competencia xTech en Madrid.