PSchindler is a global leader in elevator, escalator, and moving walkway solutions, operating in over 100 countries. Every day, our systems move more than a billion people, helping shape the flow of urban life. At Schindler, we don’t just build mobility solutions — we build careers, innovation, and impact. Our dynamic and forward-thinking work environment empowers talented individuals to design, develop, and deploy technologies that keep cities moving. /ppbr/ppstrongJoin Us as a Senior Data Scientist (m/f/d) /strong /ppstrongLocation: /strong Milan, Lombardy, Italy (Hybrid: 1-2 days/week working from home) /ppstrongCompany: /strong Schindler Group /ppbr/ppstrongHelp Shape the Future of Predictive Maintenance AI-Driven Mobility /strong /ppSchindler is transforming urban mobility through smart, connected solutions that enhance reliability and efficiency. In this role, you will design, develop, and deploy machine learning models and AI components for predictive analytics, optimization, anomaly detection, intelligent documentation systems, and automation of diagnostic processes. You will work hands-on across data preparation, modeling, evaluation, and integration into operational workflows, ensuring scalability and reliability in complex environments. /ppbr/ppstrongWhy Schindler? /strong /pullistrongShape the Future: /strong Contribute to next-generation predictive maintenance solutions that reduce downtime and improve safety. /lilistrongGlobal Impact: /strong Your work will be deployed in real-world operations, impacting millions of passengers worldwide. /lilistrongCollaborate with Experts: /strong Join a global, multidisciplinary team in AI, IoT, engineering, and operations. /lilistrongContinuous Learning: /strong Explore and implement the latest technologies and best practices in data science, optimization, and MLOps. /li /ulpbr/ppstrongYour Responsibilities /strong /pulliPrepare and analyze datasets (including time-series and event data) for predictive modeling and anomaly detection. /liliBuild and validate models for reliability estimation and failure prediction; define evaluation protocols and monitoring (data/model drift). /liliDevelop optimization algorithms and reinforcement learning prototypes for resource allocation and scheduling. /liliTransform rules-based workflows into AI-driven components and agents for automated decision-making. /liliEnsure high-quality ML pipelines with automated testing and CI/CD integration. /liliSupport deployment workflows, model monitoring, and data-drift alerts in cloud/containerized environments. /liliUtilize pipeline orchestration tools (Airflow, Prefect, Kubeflow) for scalable workflows and experiment tracking. /liliApply best practices in software versioning (Git, GitHub, Bitbucket) and code management. /liliCollaborate in Agile teams (Scrum/Kanban) for iterative delivery; contribute to backlog refinement, sprint planning, and stakeholder alignment. /liliMentor junior team members and align with technical standards (for senior profiles). /li /ulpbr/ppstrongWhat You Bring /strong /pullistrongExperience: /strong5+ years delivering AI solutions end-to-end; more junior candidates (1–3 years in data science or ML projects) will be considered. /liliStrong programming in Python; proficiency with ML frameworks (Scikit-learn, TensorFlow, PyTorch). /liliSolid understanding/expertise in predictive modeling, anomaly detection, feature engineering, and optimization; familiarity with reinforcement learning concepts. /liliExperience with Git-based version control and collaborative development platforms. /liliFamiliarity with containerization and cloud environments; knowledge of MLOps practices (CI/CD, Docker, Kubernetes). /liliAgile mindset and experience with tools like Jira or Confluence. /liliAbility to mentor and influence cross-functional teams (senior profiles). /li /ulpbr/ppstrongQualifications That Will Strengthen Your Profile /strong /pulliExposure to IoT data environments (device telemetry, events). /liliExperience with explainability methodologies (SHAP, LIME) and knowledge graphs. /liliExperience in designing scalable AI architectures and setting technical standards; ability to influence stakeholders. /li /ulpbr/ppstrongReady to Elevate Your Career? /strong /ppIf you're excited to apply and/or lead AI and machine learning solutions for predictive analytics and optimization, we want to hear from you. Join Schindler and be part of a global company that values innovation, collaboration, and professional growth. /ppbr/ppstrongApply Today and Make an Impact with Schindler! /strong /ppbr/ppstrongDiversity Inclusion /strong /ppAt Schindler Group we value inclusion and diversity, and practice equity to create equal opportunities for all. We endeavor that all qualified applicants will receive consideration for employment without regard to age, race, ethnic background, color, religious affiliation, union affiliation, gender, gender identity, sexual orientation, marital status, national origin, nationality, genetics and health or disability. /p