3 data analytics intern jobs found

ENTERPRISE NEEDS MET. SYSTEMS THAT SCALE. At Hilti, our Data Science Interns turn complex data into meaningful insights that power our digital products and customer experience. In this role, you’ll design experiments, build models, and work hands-on with large-scale data to shape real business decisions. Embedded in a highly skilled engineering community, you’ll gain end to end exposure, from hypothesis testing to production-ready solutions, without the typical barriers of slow processes or limited impact. This internship position has a flexible start date and runs for 6 months. WHAT YOU'LL DO As a Data Science Intern, you’ll work at the intersection of advanced analytics and real-world business needs. You will participate in discovery phases to understand business requirements, identify data-driven opportunities, and translate them into actionable use cases. Your daily work involves designing experiments, testing hypotheses, and developing statistical or...

Head of Data Protection & Cybersecurity Risk As the organiser of some of the biggest and most iconic sport events in the world, we lead the way in the sport and event industry. Join the team and support us on our mission. THE POSITION These are your key tasks: Lead the development and execution of FIFA´s Data Protection & Cybersecurity Risk strategy in alignment with business objectives. Responsible for ensuring global compliance with data protection laws and regulations. Develop and implement data protection policies, procedures, and guidelines to safeguard sensitive information. Conduct regular risk assessments and audits to identify potential vulnerabilities and areas of non-compliance. Legal counselling to internal stakeholders on new projects, systems, or processes to assess and mitigate privacy risks, overseeing the completion of Data Protection Impact Assessments. Serve as the primary point of contact for data...

PhD Position in Machine Learning Systems & Data Science (m/w/d) 100 % (permanent employment contract, starting on 01.03.2026) Your tasks You will work on your doctoral thesis in a dynamic environment where scientific rigor meets practical relevance. Your goal is not just to apply existing tools, but to advance the field of   Machine Learning Systems and Data Science   by deriving generalizable insights from complex, real-world data. Research-Driven Innovation : You connect scientific findings with industry-specific applications. You will design and implement   novel scalable machine learning architectures   in collaboration with leading international companies to validate theoretical concepts. Academic Excellence : You design and conduct high-quality research. The clear goal is to publish your findings in top-tier international journals and conferences and contribute to the global academic discourse. Project Leadership : You take...