Rockwell Automation - Digital Data Science Analyst Intern, application via RippleMatch

Bachelor's degree in progress from an accredited college or university Legal authorization to work in the U.S. An undergraduate Computer Science, Data Science, Engineering, Machine Learning, Mathematics, Statistics or similar quantitative degree in progress with a 3.3 cumulative GPA or higher and an expected graduation date of Spring 2027 Previous internship or part-time analytical work experience Ability to organize workstreams, meet project deadlines, and interface with clients through written communication and presentations Demonstrated abilities in leadership and team building Proficiency with Machine Learning model development and mathematical disciplines Experience with R, Python, Scala, D3.js, Tableau, Kibana, HTML5, CSS, Java, .NET languages, ETL/ETLV, Graph/NoSQL, Oracle, and MS SQL Server, RESTful and SOAP Web Services

Consult with and advise clients on designing and implementing digital technologies Optimize innovation, strategy, product development, manufacturing, and supply chain processes Develop data models for digital solutions covering forecasting, risk analysis, customer behavior, timeseries, asset efficiency, predictive maintenance, multi-dimensional correlation, NLP/NLG, Vision AI, and model benchmarking Build scalable tools for processing large data volumes using on-prem, cloud, and hybrid technologies Design and implement machine learning and data management strategies Collaborate with clients and internal stakeholders to develop solutions and contribute to innovative Thoughtware and research Drive internal initiatives and contribute to development of company culture and fellow interns