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

Dallas, Texas, United States -

Full Time

Start Date

Immediate

Expiry Date

26 Jan, 26

Salary

35.0

Posted On

28 Oct, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Machine Learning, Digital Technologies, Client Consulting, Data Modeling, Predictive Maintenance, NLP, Vision AI, Cloud Technologies, R, Python, Scala, Tableau, SQL, ETL, Leadership

Industry

technology;Information and Internet

Description

This role is with Rockwell Automation. Rockwell Automation uses RippleMatch to find top talent. The Data Science Analyst Internship is an 8–12-week summer internship, geared toward students who want to jumpstart a career in digital transformation and innovation consulting. Data Science Analyst Interns will gain client-facing experience, assume leadership roles among their team, develop meaningful client deliverables, and contribute to internal initiatives and business development. Those who demonstrate an ability to succeed in this role will be automatically considered for a full-time position as an Analyst beginning in the Fall of 2027. Your Responsibilities: Consult with and advise clients across multiple industries on designing and implementing digital technologies to drive business innovation and enhance customer experiences. Optimize innovation, strategy, product development, manufacturing, and broader supply chain processes in our global Digital Data Science & Internet of Things (IoT) capability 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 Drive internal initiatives and contribute to development of company culture and fellow interns This is a remote position and can be located anywhere in the United States. The ability to travel up to 50% of the time is required. The Essentials - You Will Have: A bachelor's degree in progress from an accredited college or university Legal authorization to work in the U.S. We will not sponsor individuals for employment visas, now or in the future, for this job opening. The Preferred - You Might Also Have: 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 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 What We Offer Interns: Health Insurance including Medical, Dental and Vision 401k Paid Holidays To learn more about our benefits, please visit www.raquickfind.com #LI-Remote #LI-DNI For this role, the Salary Compensation is $35/hour. Our benefits for the US can be found here. Actual pay will be based on factors such as skills, knowledge, education, and experience. At Rockwell Automation we are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right person for this or other roles.

Responsibilities

Consult with clients on digital technologies to drive business innovation and enhance customer experiences. Develop data models and scalable tools for processing large data volumes.