Data Scientist - AI / GenAI

Join T-Systems Iberia as a Data Scientist specializing in AI and Generative AI technologies. In this role, you will leverage your expertise in data analysis and machine learning to develop innovative solutions that drive business value. Your contributions will help enhance our AI capabilities and foster a data-driven culture within the organization.

Experian is hiring a Data Scientist in Granada. This position centers on building and applying models to uncover insights from large and complex data sets. Role overview As a Data Scientist, you will focus on analyzing diverse data sources and translating findings into actionable recommendations. The work supports data-driven decisions across the organization. What you will do Develop statistical and machine learning models Implement methods to extract insights from complex data Contribute to projects that enhance data-driven decision-making Location This role is based in Granada.

Experian is hiring a Senior Data Scientist in Granada. This position centers on applying advanced analytical methods to support data-driven decisions across the organization. Role overview As a Senior Data Scientist, the work involves collaborating with teams from different departments. The role requires using machine learning techniques to analyze complex datasets. The insights gained help shape projects that influence both customer experiences and business performance. What you will do Work closely with cross-functional groups to identify opportunities for data analysis Apply machine learning to uncover patterns and trends in large, varied datasets Support projects aimed at improving business outcomes and customer impact Requirements Advanced analytical skills Experience with machine learning methods Ability to work with complex data and collaborate across teams

Join our dynamic team at T-Systems Iberia as a Data Scientist, where you will leverage advanced data analytics and machine learning to drive impactful solutions. You will collaborate with cross-functional teams to develop data-driven strategies that enhance business performance and customer satisfaction.

Join our innovative team at T-Systems Iberia as a Data Scientist and play a pivotal role in driving data-driven decisions within Deutsche Telekom. You will collaborate with cross-functional teams to analyze complex datasets, develop predictive models, and contribute to strategic initiatives that enhance our services. If you are passionate about data analytics and eager to make a significant impact, we want to hear from you!

Join our dynamic team as a Data Scientist where you will leverage advanced analytical techniques to analyze and evaluate complex data sets on modern data platforms. You will be responsible for generating insightful reports that assess data structures and processes. Your expertise will drive the development of robust data models and the application of machine learning techniques, integrating analytical results into tailored solutions and business processes aimed at optimizing cost cases and contributing to techno-economic assessments.In this role, you will engage in data transformation activities, including data enrichment, blending, and augmentation, to develop and present actionable decision proposals and recommendations. You will play a key part in crafting specific analysis and control tools across various data sources, ensuring the provision of essential datasets.You will support the team by:Compiling data and department-specific KPIs.Preparing comprehensive reports for executive management.Ensuring data quality and identifying areas for improvement when data diverges from target metrics.Preparing and presenting critical information and results to the leadership team.

We are seeking a motivated and innovative Data Scientist to join our dynamic team at Deutsche Telekom. As a Data Scientist, you will have the opportunity to work on exciting projects that leverage data analytics and machine learning to drive business decisions.You will collaborate with cross-functional teams to analyze large datasets, develop predictive models, and implement data-driven solutions that enhance operational efficiency and customer satisfaction.

Join our dynamic team at T-Systems Iberia as a Data Scientist! In this pivotal role, you will harness data to drive strategic decision-making and optimize processes. Your expertise in data analysis and machine learning will be essential in delivering actionable insights that impact our business and enhance customer experiences.

Join our dynamic team at T-Systems Iberia, a part of Deutsche Telekom, where we are at the forefront of driving innovation in Data Science and Artificial Intelligence. We are looking for a skilled System Engineer who will collaborate with our AI teams to implement high-impact AI projects and integrate these solutions into operational systems. This role offers a unique opportunity to work with cutting-edge Generative AI technologies in a scalable environment.Your Responsibilities:• Collaborate with AI/ML teams to design and develop scalable, maintainable software solutions for AI-driven applications.• Establish and enforce software engineering best practices, focusing on architecture, modularization, and API management.• Enhance development workflows using TDD, DDD, GitOps, CI/CD, and automated testing methodologies.• Utilize containerization and orchestration tools like Docker, Kubernetes, Terraform, and Helm.• Ensure robust security measures by integrating with our Identity and Access Management systems.

We are seeking a highly skilled Software Engineer with a strong technical foundation and a passion for innovation. The ideal candidate will have a keen interest in designing and implementing AI-driven solutions, with a focus on performance, scalability, and effective delivery.Responsibilities:Integrate AI into existing enterprise ecosystems by connecting with APIs and both internal and external services.Develop and finalize services using automated code generation tools.Collaborate with technical teams and actively participate in the implementation process.Stay abreast of the latest advancements in applied AI.Possess solid knowledge in software development using Java, .NET, Angular, React, Vue, or similar frameworks.Contribute to the continuous improvement of AI tools.Engage with various stakeholders, including internal teams and external clients.

Join Our Team as a Mapping Data Collection Driver!Are you a skilled driver with a keen eye for detail? At Terry Soot Management Group (TSMG), we are at the forefront of field data collection since 2017, specializing in gathering data where automation falls short. Our teams operate across Europe and North America, dedicated to collecting essential information to empower informed decision-making. We are now looking for dedicated and safety-conscious drivers to participate in a significant mapping data collection initiative.What You’ll Do:In this role, you will be responsible for operating specially equipped vehicles provided by our clients to capture high-quality street-level imagery and data across designated areas. Your strong driving skills, technical awareness, and independence will be vital as you collaborate closely with our field coordinators to ensure the success of our projects.Please note that this position requires travel and the possibility of extended assignments away from home, with hotel-based accommodations provided.

T-Systems Iberia is looking for an Expert Data Engineer to join its teams in Granada, Sevilla, Reus, Valencia, or A Coruña. The role centers on developing and maintaining data solutions that help drive business insights and improve performance. Key responsibilities Design, build, and maintain data pipelines and data architectures Work closely with colleagues from different departments to deliver dependable data products Use modern data technologies to support analytics and business decision-making Work locations Granada Sevilla Reus Valencia A Coruña

Join Our Team as a Driver/Data Collector!At Terry Soot Management Group (TSMG), we pride ourselves on our commitment to quality field data collection. Established in 2017, our company specializes in gathering data in environments where automation is not feasible. Our dedicated teams across Europe and North America are equipped to tackle new challenges, capturing crucial data that aids decision-making.Project OverviewIn this exciting project, you will be responsible for collecting high-resolution visuals of streets, points of interest, and public spaces throughout various EU countries. As a driver, you will operate vehicles outfitted with advanced 360° cameras and lidar technology to meticulously document your surroundings. All collected data will be securely stored on onboard SSD drives and used to enhance a leading global online mapping platform.Your role will involve following designated routes, concentrating on public roads, commercial districts, and notable landmarks. To ensure optimal image quality, you may need to revisit certain locations during favorable weather conditions.The project duration varies based on the specific requirements of each data collection area, typically ranging from 3 to 6 months of active engagement.Work Schedule: Full-time commitment during standard business hours (8 AM - 7 PM).Recruitment Process: Candidates will undergo a safety driving test, an interview with a recruiter, and an onboarding process.

Role overview T-Systems Iberia seeks a Senior Data Engineer in Granada to focus on Databricks. The main responsibility is to design, build, and improve data pipelines and architectures that address business needs. What you will do Create and maintain data pipelines using Databricks. Collaborate with colleagues from different teams to keep data accurate and reliable. Optimize data systems for analytics and reporting purposes. Support the delivery of insights that influence decision-making across the company. Location This position is based in Granada.

Join our innovative team dedicated to developing cutting-edge Data Analytics and AI Use Cases for Deutsche Telekom's Network Control Platform in Germany (AAA Fixed Net Germany). You'll play a pivotal role in the design and advancement of our real-time data processing pipeline, operating on an on-premises Kubernetes platform.As a Data Engineer, you will oversee the complete lifecycle and continuous enhancement of our data processing pipelines. Collaborating closely with Data Scientists and DevOps Engineers, you will also engage with various internal teams, customers, and external suppliers.Key Responsibilities:Manage the full lifecycle of a real-time data processing pipeline.Develop and optimize data pipelines (ETL).Integrate new data sources seamlessly.Implement innovative technologies and tools to boost data processing capabilities.Operate within Kubernetes environments for implementation and maintenance.Ensure 24/7 system monitoring and maintenance for uninterrupted availability.Oversee rollout management throughout the application lifecycle, adhering to ITIL and corporate processes (Incident/problem/change management).Work collaboratively with Data Scientists and internal customers.Be prepared for occasional on-call duties outside of regular working hours.

Join T-Systems Iberia as a Data Engineer specializing in GCP and SAP, where you will play a pivotal role in transforming data into actionable insights. You will be responsible for designing, developing, and maintaining data pipelines and architectures that support robust analytics and reporting solutions.Your expertise in Google Cloud Platform (GCP) and SAP will enable you to integrate complex data sets, ensuring high-quality data management and seamless data access across various applications. Collaborate with cross-functional teams to identify data needs and develop scalable solutions that drive business objectives.

About the Role T-Systems Iberia is hiring a Data Engineer with a focus on Google Cloud Platform (GCP) and SAP technologies. This position is based in Granada. What You Will Do Work with teams across different functions to design and build data solutions on GCP and SAP platforms. Implement and optimize data pipelines to maintain reliable data flow and availability. Support data-driven decision-making by ensuring high-quality, accessible data. Contribute to improving operational efficiency through effective data engineering practices. Location Granada

Join T-Systems Iberia as a Data Engineer specializing in Google Cloud Platform (GCP). In this pivotal role, you will design, build, and maintain scalable data pipelines and data architectures that support our business objectives. You will work collaboratively with data scientists and analysts to enhance data accessibility and usability, driving impactful insights from complex datasets.The ideal candidate will have expertise in cloud technologies, particularly GCP, and a strong background in ETL processes, data warehousing, and big data technologies. If you are passionate about transforming data into actionable insights and thrive in a dynamic environment, we would love to hear from you!

Join our dynamic team at T-Systems Iberia as a Data Engineer specializing in Google Cloud Platform (GCP). In this role, you will leverage your technical expertise to design, develop, and optimize data pipelines that support our clients' data-driven strategies. This position offers a unique opportunity to work on cutting-edge technology while collaborating with talented professionals in a supportive environment.

Location: Reus, Granada, Sevilla, Gijón, Valencia or A Coruña.Key Responsibilities:Design, develop, and deploy AI and Machine Learning solutions tailored for production environments.Implement and maintain MLOps pipelines covering training, validation, versioning, deployment, and model monitoring.Collaborate with Data Scientists to turn prototypes and notebooks into robust, scalable, and maintainable solutions.Develop services and APIs for AI model consumption within applications and business processes.Ensure code quality by applying software engineering principles (testing, modularity, documentation).Automate model and AI component deployments using CI/CD methodologies.Implement model monitoring mechanisms (performance, drift, data quality).Integrate AI solutions with data platforms and cloud systems.Participate in defining technical standards, best practices, and AI solution architecture.Work in agile environments, collaborating closely with multidisciplinary teams.