Internship in Industry 4.0 and Digitalization

About the Role inetum2 is hiring a Data Engineer and Machine Learning Specialist in Madrid. This position focuses on building data-driven solutions to improve industrial processes. The role involves working closely with teams across the company to implement machine learning algorithms and ensure data systems can scale as needed. What You Will Do Develop solu…

About Clarity AI Clarity AI is a pioneering global technology firm, established in 2017, dedicated to integrating social impact into the financial markets.Utilizing advanced AI and machine learning technologies, we empower international investors, governments, corporations, and individuals with essential data, methodologies, and tools for informed decision-making.Our diverse team of over 300 passionate professionals spans the globe, with offices in New York, Madrid, London, Paris, and Abu Dhabi. Together, we have positioned Clarity AI as a foremost sustainability tech firm, supported by reputable investors and partners like BlackRock, SoftBank, and Deutsche Börse, who resonate with our vision.We are committed to fostering an exceptional workplace culture, characterized by our values of fact-based decision making, diversity, transparency, meritocracy, and flexibility.As we continue our global expansion, we invite you to join us on this exciting journey where your contributions will significantly impact sustainable decisions for investors, companies, and consumers worldwide.About The Role We are seeking a Senior Machine Learning Engineer Staff with expertise in deploying and scaling Large Language Models (LLMs) and Agentic systems. In this pivotal role, you will connect the realms of machine learning experimentation and large-scale production by developing the robust, efficient platform that drives our AI initiatives.While our Data Science teams concentrate on crafting and fine-tuning cutting-edge models, you will take ownership of the platform that supports their efforts. You will establish best practices, create automated pipelines, and guarantee that our infrastructure can manage complex agentic workflows with high reliability and performance. This position is designed for a forward-thinking professional who stays ahead of the dynamic changes in the AI landscape and can swiftly adapt our technology stack to leverage emerging trends.To gain insights into the technologies utilized by the engineering team at Clarity AI, please explore our Tech Stack.What You’ll Be Doing As a Senior Machine Learning Engineer Staff, you will be responsible for:

Why Join dLocal?dLocal empowers leading global companies to seamlessly collect payments in 40 emerging market countries. Our platform is trusted by major brands to enhance conversion rates and facilitate effortless payment expansion. As both a payment processor and a merchant of record in our operational regions, we enable our merchants to penetrate some of the world’s fastest-growing markets.By becoming part of our dynamic team, you will join over 1000 dedicated professionals from more than 30 countries, forging an international career that positively impacts millions of lives daily. At dLocal, we are innovators who embrace challenges, prioritize customer-centric solutions, and foster a collaborative environment. If this resonates with you, we are confident you will excel with us.What’s the Opportunity?As a Senior Machine Learning Operations (MLOps) & AI Infrastructure Engineer at dLocal, you will play a pivotal role in developing and managing our ML and AI platform, with a strong emphasis on Feature Store and MLOps processes.Your responsibilities will include implementing and enhancing the tools utilized by our Data Science and AI teams to transition models and AI-driven services from concept to production. This encompasses feature pipelines, training and deployment workflows, observability, and automation.A central aspect of your role will involve leveraging agents and AI services to automate various MLOps functions—from feature store operations to managing fraud and anomaly detection workflows, as well as optimizing ML expenses—while collaborating closely with the AI Team and MLOps Technical Referent.

JetBrains is seeking a Senior Machine Learning Researcher to focus on Spectrum. This position centers on applying machine learning expertise to improve product features and contribute to ongoing research efforts. Role overview This role involves working with a team dedicated to advancing the capabilities of Spectrum. The Senior Machine Learning Researcher will use their knowledge to influence product direction and participate in research projects that drive innovation. Key responsibilities Apply machine learning methods to enhance Spectrum's technology. Contribute to research initiatives that inform future product development. Share insights and provide leadership within the research team. Locations This position is available in Amsterdam, Belgrade, Berlin, Limassol, Madrid, Munich, Paphos, Prague, Warsaw, and Yerevan.

Join Dataiku as a Sales Engineer and play a pivotal role in empowering organizations to harness the full potential of their data. As a Sales Engineer, you will engage with clients to understand their needs, provide tailored solutions, and demonstrate the value of our innovative platform. Your technical expertise will be crucial in bridging the gap between our product capabilities and the specific challenges faced by our customers.

Experian is looking for a Senior Data Scientist to join the team in Madrid. This position centers on developing predictive models and shaping data strategies that support business goals. Role overview As a Senior Data Scientist, collaboration with colleagues from different departments will be a regular part of the job. The work involves analyzing data, building models, and providing insights that help guide key decisions across projects. What you will do Create and refine predictive models to support business operations Work closely with cross-functional teams to design and implement data-driven strategies Translate analytical findings into actionable recommendations for ongoing projects Impact The insights and solutions produced in this role will play a direct part in shaping project outcomes and improving decision-making processes at Experian.

Why Join dLocal?At dLocal, we empower some of the largest global companies to seamlessly collect payments across 40 emerging market countries. Our trusted solutions enhance conversion rates and facilitate effortless payment expansion into the world's most dynamic markets. As both a payment processor and a merchant of record in our operational regions, we enable our merchants to thrive in rapidly growing economies.By becoming part of our innovative team, you will collaborate with over 1,000 talented individuals from more than 30 nationalities, cultivating an international career that positively impacts millions of lives every day. We are passionate builders who embrace challenges, prioritize customer satisfaction, and foster an environment where you can excel.Role OverviewWe are in search of a driven and impactful Senior Data Scientist who thrives in an autonomous environment. In this pivotal role, you won’t just perform tasks; you will take ownership of the objectives, methodologies, and implications of your projects. Acting as a strategic data partner, you will leverage state-of-the-art AI tools to accelerate our efforts and tackle complex challenges that significantly influence dLocal's success.What projects will you undertake? You will engage in developing solutions for anomaly detection, forecasting, and payment routing, requiring expertise in unsupervised learning, hybrid time series models, clustering, and reinforcement learning, all while emphasizing clarity and explainability.

Join Cabify as a Data Scientist and contribute to innovative data-driven solutions that enhance our transportation services. You will leverage your expertise in data analysis and machine learning to derive actionable insights from complex datasets, driving strategic decisions and improving customer experiences.

Join our dynamic team as a Senior Data Scientist in the Incubation Lab at NielsenIQ, where you will leverage your expertise in data science to drive innovative solutions and insights. In this role, you will analyze complex datasets, utilize advanced machine learning techniques, and collaborate with cross-functional teams to develop data-driven strategies that enhance our business operations.

alan seeks a Sales Learning & Development Specialist to help the sales team grow and perform at their best. This position can be based in Paris, Madrid, Barcelona, or Bruxelles. Main responsibilities Design and deliver training programs that align with sales strategies and business objectives Collaborate with other departments to identify specific learning needs Create clear and engaging training materials tailored for sales professionals Lead training sessions to strengthen the team's skills and support target achievement Role impact This role plays a key part in building the skills and confidence of the sales team, directly supporting their success and helping drive revenue growth for alan.

This Data Scientist role at Geotab focuses on supporting an Insights & Integrations Consultancy based in Madrid, Spain. Geotab specializes in connecting commercial vehicles to the internet, providing web-based analytics that help organizations manage their fleets more efficiently and safely. Role overview As a Data Scientist, the work centers on analyzing large volumes of vehicle and business data. The goal is to uncover insights that help customers automate operations, improve productivity, reduce fuel consumption, and enhance driver safety. The position involves using analytics and machine learning to process billions of data points daily, supporting clients as they navigate regulatory requirements and seek to optimize their fleets. About the team Geotab values curiosity, creativity, and initiative. Team members are encouraged to take on new challenges and grow their skills. The company fosters an inclusive workplace and supports professional development. Location This position is located in Madrid, Spain. For more about Geotab’s culture and updates, visit the company blog or follow on Instagram. To receive updates on future roles, join the talent network.

Ebury empowers ambitious businesses to achieve global growth, and we extend this philosophy to our employees. We foster an innovative atmosphere that encourages collaboration, problem-solving, and a sense of belonging, where everyone is valued and supported to thrive.If you are a team player eager to reshape how businesses function worldwide, we invite you to connect with us—together, we can accelerate your career and influence the future.Data Analyst - Credit Risk & UnderwritingEbury (Madrid) Office - Hybrid: 4 days in the office, 1 day working from home per weekMissionJoin Ebury's Analytics team in Madrid to develop and enhance the data models and predictive frameworks that drive our Underwriting and Credit Risk decisions. Your role will encompass more than reporting; you will create scalable analytics solutions, train explainable ML models, and translate risk signals into actionable business strategies.What you’ll doDesign, build, and maintain robust dbt data models that convert raw data into analytics-ready assets for Credit Risk and Underwriting.Write and optimize complex SQL and Python pipelines to model credit outcomes and identify early warning signals.Train, validate, and document explainable ML models (e.g., logistic regression, gradient-boosted trees) to forecast defaults and portfolio behavior.Take ownership of key Underwriting and Credit Risk KPIs, ensuring that dashboards are precise and current.Create and manage dashboards in Sigma and Looker Studio that make risk data accessible to Business and Product stakeholders.Collaborate with Underwriting, Credit Risk, and Product teams to transform model outputs into strategic actions.What you'll ownThe comprehensive data modeling layer for Underwriting and Credit Risk analytics.Portfolio health monitoring and alerting framework.Documentation and explainability artifacts for all production ML models.Stakeholder-facing dashboards and regular risk reporting cadence.Tech stack & environmentLanguages: SQL, PythonData modeling: dbtBI / visualization: Sigma, Looker StudioML modeling: Predictive modeling (XGBoost, CatBoost, Scikit-learn)Cloud / warehouse: BigQuery, GCP

Join our innovative team at inetum2 as a Senior Data Engineer specializing in Databricks. In this pivotal role, you will leverage your expertise in big data technologies to design, develop, and optimize data pipelines. Collaborate with cross-functional teams to deliver high-quality data solutions that drive decision-making and enhance business intelligence.

Join Cabify as a Senior Data Scientist specializing in Advanced Analytics, where you'll leverage your expertise to drive data-driven decision-making across our organization. In this pivotal role, you'll collaborate with cross-functional teams to develop predictive models, conduct exploratory data analysis, and implement machine learning algorithms that enhance our service offerings. Your contributions will be essential in shaping the future of transportation solutions in urban areas.

Join our innovative team as an Industrial Water Engineer at Veolia Environnement SA in Madrid. In this pivotal role, you will be responsible for designing, implementing, and optimizing water management solutions for industrial clients. Your expertise will contribute to sustainable practices that enhance water efficiency and reduce environmental impact.

Scalian is looking for a Junior PMO Industrial Specialist to join the Project Management Office and support a variety of industrial projects. This role is open in Madrid, Sevilla, or Albacete. Role overview This entry-level position offers the chance to work alongside experienced project managers. The Junior PMO Industrial Specialist will play a key part in keeping projects organized and on track within the industrial sector. What you will do Assist project managers with daily coordination and administrative tasks Help track project schedules and budgets to ensure timelines are met Monitor project progress and contribute to milestone reporting Develop practical knowledge of project management approaches used in industrial settings Location This position is available in Madrid, Sevilla, or Albacete.

Join Sopra Steria as a Data Engineer and play a key role in transforming data into actionable insights. You will work with cutting-edge technologies to develop data pipelines, manage data architecture, and ensure data quality. Your expertise will help drive strategic decision-making and improve operational efficiency.

About the Role airapps is hiring an AI/ML Engineer in Madrid. This position focuses on building and improving machine learning solutions that turn data into practical insights. The work involves close collaboration with colleagues from different teams to refine current applications and design new models that support the company’s technology goals. What You Will Do Develop machine learning models to solve real business problems Work with cross-functional teams to improve existing applications Create new solutions that advance airapps’ technology Location This role is based in Madrid.

Join our innovative Notebooks team as a Staff Software Engineer specializing in AI/ML. At Datadog, our Notebooks are versatile tools for on-the-fly data analysis, collaborative investigations, and technical documentation. They facilitate seamless interaction between agents and users. Our team is at the forefront of developing AI-enhanced workflows for natural language data analysis, automated graph generation, and in-depth investigations. In this role, you will serve as a technical leader, dedicated to creating cutting-edge AI-powered functionalities. We are in search of a product-oriented ML engineer who possesses strong technical acumen, exceptional communication skills, and a proven history of spearheading impactful projects from inception to completion.At Datadog, we cherish our office culture for its collaborative spirit and the creativity it fosters. We adopt a hybrid work model to support our Datadogs in achieving a work-life balance that aligns with their unique needs.