Rockwell Automation is looking for Data Science Analyst Interns to help drive digital transformation and innovation consulting, advising clients on digital technologies, optimizing processes, and developing data models for digital solutions.
Requirements
- 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
- Develop data models for digital solutions in various industries covering themes like 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
Responsibilities
- Develop data models for digital solutions in various industries covering themes like 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
- Optimize innovation, strategy, product development, manufacturing, and broader supply chain processes in our global Digital Data Science & Internet of Things (IoT) capability
- Consult with and advise clients across multiple industries on designing and implementing digital technologies to drive business innovation and enhance customer experiences
- Contribute to internal initiatives and business development
Other
- 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
- The ability to organize workstreams, meet project deadlines, and interface with clients through written communication and presentations
- Demonstrated abilities in leadership and team building
- The ability to travel up to 50% of the time is required.
