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Our client, a renowned European Institution in Seville, is the European Union’s science hub. The organisation plays a vital role in supporting EU policymaking through rigorous, high-quality research across key areas that directly impact the lives of all Europeans, from AI to territorial transformation, clean industry, and fiscal policy. We are seeking a skilled Data Scientist, that will join the “Green Expertise for Investments” team and who will support the development of a geographic information system to analyse decarbonisation data reported by companies in energy-intensive industries in their climate Transition Plans (the concept is described in this short paper: ___). Contract type offer: • Freelancer Location: • Seville, working from the Institution’s comfortable offices. What will be the role of the Data Scientist? The main tasks to be carried out include the upscaling of a database of climate Transition Plans, the further upgrading of the GIS tool and its use for the analysis of information collected (e.g. developing a semi-automated process to scale up the extraction from corporate reports, explore and propose options to scale up the database from an EU centric approach to a global approach, create visual representations on maps...). • Upscale a transition plan database, and analyse information collected using a GIS tool, • Extract, clean, and structure information (emission reductions/sustainability targets, actions/ decarbonisation levers, investments information, etc.) from companies’ Climate Transition Plans (CSRD reports) at company and plant level when possible, • Develop a semi-automated process to scale up the extraction from an increasing number of PDFs climate reports over time (leveraging AI LMM and machine learning), • Conduct data provider analysis to complement the dataset with publicly available data (e.g. Climate Arc, IEA, Climate trace, press released) or private databases (e.g. Asset Impact, Orbis, MSCI, Sustainalytics, Clarity AI, CDP), • Explore and propose options to scale up the database from an EU centric approach to a Global approach, • Design and implement routines and procedures for updating and backup the dataset, • Propose and implement IT solution to connect the database to the existing preliminary version of the GIS analytical tool, • Perform analysis at corporate, sectoral or geographical level (local, region, country) to identify trends, patterns, and statistical insights (using data analysis tools and technique) to provide evidence for financing decisions by private actors and for (EU or national) public policymaking related to the EU industrial transition, infrastructure planning, sectoral financing needs, etc., • Create visual representations on maps (e.g. with GIS, Tableau, or Power BI) Supporting duties: develop further the GIS analytical tool • Based on the analysis performed, propose new features for improving the GIS online tool and implement them, • Update the underlying data sources included in the GIS tool (EU ETS installation CO2 emissions, electricity grid maps, potential of hydrogen production in EU, regional availability of scrap, etc.) What profile we are looking for? Core Technical Skills • Programming: Proficient in R, Python, and SQL for data manipulation and analysis., • Data Engineering: Experienced in building data pipelines to extract, clean, and structure data from diverse sources (PDFs, APIs, databases)., • Database Management: Skilled in designing and managing relational and NoSQL databases, with a focus on data quality assurance. Analytics & Visualization • Adept at working with large datasets to uncover trends and statistical insights., • Communicates complex findings effectively to non-technical audiences using tools like Tableau, Power BI, and GIS. Advanced Techniques • Knowledgeable in machine learning and AI, especially in natural language processing (NLP) and text analysis., • Familiar with geospatial analysis and mapping technologies. Climate & ESG Expertise • Understanding of climate-related data, including ESG metrics, CSRD’s ESRS standards, and climate modelling., • Experience applying data science to support industrial decarbonisation initiatives. Cloud & Infrastructure • Familiar with cloud platforms such as AWS, Google Cloud, and Azure. Education • Holds a Bachelor's or Master's degree in Computer Science, Data Science, or a related field.

Implementar flujos de trabajo agentic utilizando LangChain, LangGraph u otros frameworks similares. En PSS apostamos por la igualdad de oportunidades y la diversidad. Construir y mantener microservicios escalables y seguros dentro de arquitecturas distribuidas.

Se valorarán Postgrados en Inteligencia Artificial, Data Science, Big Data, etc. Nuestro enfoque end-to-end abarca desde la analítica avanzada hasta la inteligencia artificial, ayudando a las organizaciones a: Optimizar operaciones con modelos predictivos y prescriptivos Anticipar escenarios d

Fuertes habilidades de resolución de problemas y capacidad para trabajar tanto de forma independiente como en equipo ¿QUÉ HARÁS? Participarás en un proyecto de Forecasting implementando la nueva herramienta o9 para el Product Squad. Esto es lo que ofrecemos: Crecimiento rápido a través

Our client, a renowned European Institution in Seville, is the European Union's science hub. The organisation plays a vital role in supporting EU policymaking through rigorous, high-quality research across key areas that directly impact the lives of all Europeans, from AI to territorial transformation, clean industry, and fiscal policy. We are seeking a skilled Data Scientist with advanced R developer skills , who will play a key role in a geographic information system project. This initiative focuses on analyzing decarbonization data for energy-intensive industries, supporting corporations in the credibility of their transition plans for a more sustainable economy. Contract type offer: ~ Freelancer Develop a semi-automated process to scale up the extraction from an increasing number of PDFs climate reports over time (leveraging AI LMM and machine learning) Conduct data analysis to complement the dataset with publicly available data (e.g. press released) or private databases Explore and propose options to scale up the database from an EU-centric approach to a Global approach Propose and implement IT solution to connect the database to the existing preliminary version of the analytical tool Perform analysis at corporate, sectoral, or geographical level (local, regional, country) to identify trends, patterns, and statistical insights (using data analysis tools and techniques) with GIS, Tableau, or Power BI) Based on the analysis performed, propose new features for improving the GIS tool and implement them Update the underlying data sources included in the GIS tool Experience with building data pipelines to extract, clean and structure data from diverse sources (e.g. PDFs, databases, APIs) Experience with database management and design (e.g. relational databases, NoSQL databases) Strong programming skills in languages such as R, Python are required Ability to work with large datasets and perform data quality checks Experience with data visualisation and communication of complex data insights to non-technical stakeholders Knowledge of machine learning and AI techniques, particularly in natural language processing (NLP) and text analysis Familiarity with geospatial analysis and mapping tools such as GIS, Tableau, or Power BI Experience or understanding of climate-related data Familiarity with cloud-based data platforms and services (e.g. AWS, Google Cloud, Azure) ~ Bachelor's or Master's degree in a relevant field such as Computer Science, Data Science.

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. 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. 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)., • 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). 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.

Our client, a renowned European Institution in Seville, is the European Union's science hub. The organisation plays a vital role in supporting EU policymaking through rigorous, high-quality research across key areas that directly impact the lives of all Europeans, from AI to territorial transformation, clean industry, and fiscal policy. We are seeking a skilled Data Scientist with advanced R developer skills , who will play a key role in a geographic information system project. This initiative focuses on analyzing decarbonization data for energy-intensive industries, supporting corporations in the credibility of their transition plans for a more sustainable economy. Contract type offer: ~ Freelancer Develop a semi-automated process to scale up the extraction from an increasing number of PDFs climate reports over time (leveraging AI LMM and machine learning) Conduct data analysis to complement the dataset with publicly available data (e.g. press released) or private databases Explore and propose options to scale up the database from an EU-centric approach to a Global approach Propose and implement IT solution to connect the database to the existing preliminary version of the analytical tool Perform analysis at corporate, sectoral, or geographical level (local, regional, country) to identify trends, patterns, and statistical insights (using data analysis tools and techniques) with GIS, Tableau, or Power BI) Based on the analysis performed, propose new features for improving the GIS tool and implement them Update the underlying data sources included in the GIS tool Experience with building data pipelines to extract, clean and structure data from diverse sources (e.g. PDFs, databases, APIs) Experience with database management and design (e.g. relational databases, NoSQL databases) Strong programming skills in languages such as R, Python are required Ability to work with large datasets and perform data quality checks Experience with data visualisation and communication of complex data insights to non-technical stakeholders Knowledge of machine learning and AI techniques, particularly in natural language processing (NLP) and text analysis Familiarity with geospatial analysis and mapping tools such as GIS, Tableau, or Power BI Experience or understanding of climate-related data Familiarity with cloud-based data platforms and services (e.g. AWS, Google Cloud, Azure) ~ Bachelor's or Master's degree in a relevant field such as Computer Science, Data Science.

Our client, a renowned European Institution in Seville, is the European Union's science hub. The organisation plays a vital role in supporting EU policymaking through rigorous, high-quality research across key areas that directly impact the lives of all Europeans, from AI to territorial transformation, clean industry, and fiscal policy. We are seeking a skilled Data Scientist with advanced R developer skills , who will play a key role in a geographic information system project. This initiative focuses on analyzing decarbonization data for energy-intensive industries, supporting corporations in the credibility of their transition plans for a more sustainable economy. Contract type offer: ~ Freelancer Develop a semi-automated process to scale up the extraction from an increasing number of PDFs climate reports over time (leveraging AI LMM and machine learning) Conduct data analysis to complement the dataset with publicly available data (e.g. press released) or private databases Explore and propose options to scale up the database from an EU-centric approach to a Global approach Propose and implement IT solution to connect the database to the existing preliminary version of the analytical tool Perform analysis at corporate, sectoral, or geographical level (local, regional, country) to identify trends, patterns, and statistical insights (using data analysis tools and techniques) with GIS, Tableau, or Power BI) Based on the analysis performed, propose new features for improving the GIS tool and implement them Update the underlying data sources included in the GIS tool Experience with building data pipelines to extract, clean and structure data from diverse sources (e.g. PDFs, databases, APIs) Experience with database management and design (e.g. relational databases, NoSQL databases) Strong programming skills in languages such as R, Python are required Ability to work with large datasets and perform data quality checks Experience with data visualisation and communication of complex data insights to non-technical stakeholders Knowledge of machine learning and AI techniques, particularly in natural language processing (NLP) and text analysis Familiarity with geospatial analysis and mapping tools such as GIS, Tableau, or Power BI Experience or understanding of climate-related data Familiarity with cloud-based data platforms and services (e.g. AWS, Google Cloud, Azure) ~ Bachelor's or Master's degree in a relevant field such as Computer Science, Data Science.

Our client, a renowned European Institution in Seville, is the European Union's science hub. The organisation plays a vital role in supporting EU policymaking through rigorous, high-quality research across key areas that directly impact the lives of all Europeans, from AI to territorial transformation, clean industry, and fiscal policy. We are seeking a skilled Data Scientist with advanced R developer skills , who will play a key role in a geographic information system project. This initiative focuses on analyzing decarbonization data for energy-intensive industries, supporting corporations in the credibility of their transition plans for a more sustainable economy. Contract type offer: ~ Freelancer Develop a semi-automated process to scale up the extraction from an increasing number of PDFs climate reports over time (leveraging AI LMM and machine learning) Conduct data analysis to complement the dataset with publicly available data (e.g. press released) or private databases Explore and propose options to scale up the database from an EU-centric approach to a Global approach Propose and implement IT solution to connect the database to the existing preliminary version of the analytical tool Perform analysis at corporate, sectoral, or geographical level (local, regional, country) to identify trends, patterns, and statistical insights (using data analysis tools and techniques) with GIS, Tableau, or Power BI) Based on the analysis performed, propose new features for improving the GIS tool and implement them Update the underlying data sources included in the GIS tool Experience with building data pipelines to extract, clean and structure data from diverse sources (e.g. PDFs, databases, APIs) Experience with database management and design (e.g. relational databases, NoSQL databases) Strong programming skills in languages such as R, Python are required Ability to work with large datasets and perform data quality checks Experience with data visualisation and communication of complex data insights to non-technical stakeholders Knowledge of machine learning and AI techniques, particularly in natural language processing (NLP) and text analysis Familiarity with geospatial analysis and mapping tools such as GIS, Tableau, or Power BI Experience or understanding of climate-related data Familiarity with cloud-based data platforms and services (e.g. AWS, Google Cloud, Azure) ~ Bachelor's or Master's degree in a relevant field such as Computer Science, Data Science.

NTT DATA es una de las mayores consultoras de servicios IT a nivel global, con presencia en más de 50 países y un equipo de más de 190.000 profesionales. En el mercado español, somos más de 20.000 personas impulsando proyectos transformacionales para clientes líderes en sus sectores. Nos definimos por una cultura de innovación, colaboración y compromiso con el impacto positivo. Nuestra visión combina tecnología y estrategia para reimaginar el futuro de los negocios, las personas y la sociedad. Business Analytics es el hub estratégico donde los datos se convierten en decisiones. Nuestro enfoque end-to-end abarca desde la analítica avanzada hasta la inteligencia artificial, ayudando a las organizaciones a: • Optimizar operaciones con modelos predictivos y prescriptivos, • Anticipar escenarios de negocio ¿Tienes experiencia aplicando ciencia de datos en el ámbito sanitario? ¿Te interesa participar en proyectos transformadores en salud digital, tanto a nivel hospitalario como regional, nacional y europeo? En NTT DATA , buscamos un perfil con visión analítica y orientación al negocio para diseñar e implementar soluciones reales basadas en datos en el sector salud. ¿Qué harás? Formarás parte de un equipo multidisciplinar trabajando en proyectos que combinan analítica avanzada, consultoría funcional e innovación en el ámbito sociosanitario. ¿Qué buscamos? A nivel de experiencia y formación • Perfil Junior: 1–3 años de experiencia como Data Scientist en proyectos del ámbito sanitario (hospitales, administración pública, farmacéuticas, aseguradoras, etc.)., • Perfil Senior: 3 años de experiencia como Data Scientist en proyectos del ámbito sanitario (hospitales, administración pública, farmacéuticas, aseguradoras, etc.). Requerido: • Experiencia en el procesamiento de datos estructurados y no estructurados en salud., • Dominio de Python (pandas, scikit-learn, TensorFlow o PyTorch) y experiencia en SQL., • Capacidad para trabajar en entornos multidisciplinares y comunicarse con perfiles técnicos, clínicos y de negocio., • Conocimiento de modelos y estándares desde CDMs como OMOP hasta estándares terminológicos y codificaciones como CIE-10, SNOMED CT, CIAP, LOINC., • Experiencia en el manejo de entorno y servicios cloud., • NLP y LLMs: transformers, embeddings, fine-tuning, prompt engineering, RAG., • Conocimientos de Modelos estadísticos y matemáticos, y técnicas de Machine Learning: redes neuronales, Random Forest, SVM, algoritmos evolutivos, series temporales, modelos y redes bayesianas, segmentación, etc Bases de datos no relacionales (NoSQL, Casandra, MongoDB, etc.), • Tecnologías Big data: Spark, Hive, h2o, etc..., • Metodologías de proyectos de Data Science. Te ofrecemos la incorporación a una compañía que marca la diferencia estando cerca de clientes, superando las expectativas, gestionando proactivamente nuestros proyectos y clientes y centrándonos en la calidad a través de la selección de profesionales con la mentalidad adecuada para asegurar nuestro crecimiento. Más allá del alcance de tu responsabilidad directa, formarás parte de la práctica de Business Consulting en la que te encontrarás con un equipo dinámico, joven, entusiasta y siempre orientado hacia el éxito, a partir de una fuerte cultura emprendedora pero, sobre todo, de un gran ambiente de trabajo, en el que formamos parte de un proyecto compartido, y en el cada persona es única. Trabajamos día a día para crear un entorno en el que podamos explorar, vivir y potenciar nuestra propia singularidad. ¡NTT DATA es tu sitio! Porque hemos obtenido en España, por 10o año consecutivo, la certificación Top Employer, que nos reconoce como una de las mejores empresas en las que trabajar, gracias a nuestro compromiso por el talento. Únete a un equipo que apuesta por el desarrollo integral de sus profesionales, elige el modelo de trabajo que mejor se adapte a ti, y colabora en un entorno diverso, donde cada persona tiene su propia singularidad. #WeAreAllUnique #YouMakeUsUnique#TheDigitalLovers #TopEmployer

Actualmente nos encontramos en busqueda de un perfil senior Data Scientist, con experiencia en el desarrollo de soluciones sobre AWS, especialmente con servicios de inteligencia artificial Responsabilidades principales: - Diseñar, desarrollar e implementar aplicaciones agénticas basadas en AWS Bed

Buscamos Data Scientists con experiencia en machine learning, deep learning y MLOps.Se requiere experiencia en Python y frameworks de IA.Trabajo 100% remoto, con oportunidades de crecimiento profesional.

Experienced in building data pipelines to extract, clean, and structure data from diverse sources (PDFs, APIs, databases). Conduct data provider analysis to complement the dataset with publicly available data (e. Skilled in designing and managing relational and NoSQL databases, with a focus on data

Asset Impact, Orbis, MSCI, Sustainalytics, Clarity AI, CDP) Explore and propose options to scale up the database from an EU centric approach to a Global approach Design and implement routines and procedures for updating and backup the dataset Propose and implement IT solution to connect the database

Experienced in building data pipelines to extract, clean, and structure data from diverse sources (PDFs, APIs, databases). Conduct data provider analysis to complement the dataset with publicly available data (e. Skilled in designing and managing relational and NoSQL databases, with a focus on data

Asset Impact, Orbis, MSCI, Sustainalytics, Clarity AI, CDP) Explore and propose options to scale up the database from an EU centric approach to a Global approach Design and implement routines and procedures for updating and backup the dataset Propose and implement IT solution to connect the database

Se valorarán Postgrados en Inteligencia Artificial, Data Science, Big Data, etc. Data Science, Machine Learning y Visual Analytics. Trabajamos en un ecosistema multidisciplinar con expertos en IA, machine learning, data engineering y estrategia, aplicando tecnologías punteras a problemas de alto i

Conduct data provider analysis to complement the dataset with publicly available data (e. Experienced in building data pipelines to extract, clean, and structure data from diverse sources (PDFs, APIs, databases). Skilled in designing and managing relational and NoSQL databases, with a focus on data

Se valorarán Postgrados en Inteligencia Artificial, Data Science, Big Data, etc. Tecnologías Big data: Spark, Hive, h2o, etc. Metodologías de proyectos de Data Science.

Data Scientis - GenAI & ML Expert.

Partner with AI Engineers, Data Scientists, and product teams to deliver practical, scalable, and impactful AI/ML features. Proven experience (5+ years) as a Data Scientist / ML Engineer, with hands-on coding and model building. Explore and build solutions leveraging LLMs, vector databases, retrieva

Liderar proyectos de Data Science tanto de manera individual como apoyado por otros miembros del equipo, así como por equipos de consultoría externos. Mentalidad colaborativa, estamos impulsando el área de Data Science a través de todo el grupo.

Data Scientist Senior te encargarás de:.

The role involves leading Data Science efforts, driving the development and production deployment of advanced AI solutions, and providing strong technical leadership to high-performing teams. You will work closely with the Chief AI Scientist and collaborate with international stakeholders. Lead the

Estamos especializados en dar servicios a diferentes clientes enfocados en Data, Cloud e Inteligencia Artificial. Nuestro Centro de Excelencia trabaja de manera transversal en toda la compañía, bajo un modelo de product teams, impulsando proyectos innovadores en las áreas de Data, Cloud, DevOps e

Data Scientist / IA / ML / MLOps. IT con un alto grado de expertise en el área de Data & Analytics dónde nos encontramos en pleno proceso de expansión. El equipo de Data & Analytics de Logicalis trabaja con clientes nacionales e internacionales, llevando a cabo importantes proyectos de ingenierí

En Fujitsu buscamos personas con talento!.Fujitsu es la compañía líder japonesa en tecnología digital, de la información y comunicaciones, y uno de los cinco principales proveedores de estos servicios en el mundo.Contamos con más de 50 años de experiencia en la entrega de soluciones tecnológ

Te apetece sumarte a nosotros y participar en proyectos multisectoriales en un equipo conformado por profesionales del dato como Data Scientists, Data Engineers o Data Analysts? Nuestro objetivo es ayudar a nuestros clientes en el camino hacia la innovación continua. Realizarás la mentorización d

En Fujitsu buscamos personas con talento!.Fujitsu es la compañía líder japonesa en tecnología digital, de la información y comunicaciones, y uno de los cinco principales proveedores de estos servicios en el mundo.Contamos con más de 50 años de experiencia en la entrega de soluciones tecnológ

Con más de 15 años de experiencia en el sector y reconocidos como una de las mejores empresas de tecnología para trabajar en España, según Great Place To Work, estamos especializados en servicios TIC en la nube, operando a nivel nacional e internacional y abarcando áreas como Ciberseguridad, D

Data Scientist Senior te encargarás de:.

Data Storage: GS, PostgreSQL (CloudSQL), BQ, ClickHouse.

Buscamos un Principal Data Scientist con 10 años de experiencia, liderando equipos y proyectos de IA, con presencialidad parcial en Barcelona.

Data Scientist position in Madrid, Spain, with the consulting company.

Analista de datos con experiencia en IA y aprendizaje automático para transformar datos en conocimiento.

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