This position is part of the Engineering and Data Sciences team. Your project will connect you back to the business where you will interact with a multidisciplinary team of plant managers, process control engineers etc. You will bring strong technical skills to our data science capabilities. You will explore, connect, and mine data; plus develop models using algorithms for pattern detection. In this position you will be part of the AI in Smart Manufacturing Capability where you will be working to solve reliability, energy performance, safety, predictive maintenance, forecasting, and optimization problems. 70% – Develop and code models by applying algorithms to large structured as well as unstructured data, completing project deliverables. 20% – Work in a cross-disciplinary project team of software engineers, database specialists, data scientists, and business subject-matter experts to develop a project plan and deliverables, plus communicate technical solutions to a non-technical audience. 10% – Design strategies and propose algorithms to analyze and leverage data from a variety of sources. Job Location: University of Illinois, Urbana-Champaign in Champaign, IL Job Description YOU MUST CURRENTLY BE ENROLLED AT THE UNIVERSITY OF ILLINOIS, URBANA-CHAMPAIGN (UIUC) FOR THIS INTERNSHIP OPPORTUNITY WITH CARGILL AT THE UIUC RESEARCH PARK. Want to work at the forefront of artificial intelligence and agriculture? In partnership with Cargill, at the University of Illinois, Urbana Champaign (UIUC) research park, you will be given the opportunity as a graduate level intern to apply knowledge gained in the classroom to a real-life environment and then multiply by tenfold. Cargill has a significant presence across agricultural supply chains globally and has 1500 manufacturing assets across the world. With that footprint comes massive amounts of data. AI in Smart Manufacturing unleashes the power of automation, data, and analytics to improve manufacturing. Companies are increasingly building digital twins using the wealth of IoT sensor data collected across the plant to increase the OEE (Overall Equipment Effectiveness) of the plants leading to higher yields, improved efficiency, and increased quality at a minimal cost. As a Data Science Intern, from day one, you will be an integral part of the team working with the engineering and data science teams, and will tackle real challenges, cultivate your curiosity, have client exposure, enjoy both personal and team accomplishments and have your initiative acknowledged along the way. You will collaborate and build relationships with colleagues and clients who represent diverse work, culture and resolution styles. We look for people who want to grow, support, think and produce. Qualifications Required Qualifications: Must be currently enrolled in a Masters or PhD program at the University of Illinois, Urbana Champaign in Data Science, Machine Learning, Computer Science, Computational Linguistics, Statistics, Mathematics, Engineering, Physics, or related fields with a graduation date of May 2021 or later. Able to complete a semester long internship in Fall 2020 (Aug-December 2020) or semester long internship in Spring 2021 (January-May 2021) Experience developing and testing machine learning or statistical projects. Strong background in time series and streaming data analysis, industrial engineering and statistical process monitoring and control. In-depth knowledge of various other modeling algorithms, e.g., regression, trees-based models, neural networks, ensembles, etc. Interested in learning model deployment in a production setting. Proficiency in Python (e.g., pandas, scikit-learn, bokeh, matplotlib, NumPy). Ability to understand complex and ambiguous business needs and apply the right tools and approaches. Curious, self-motivated, driven, and have a passion for problem solving. Collaborative team player. Excellent communication skills, both written and verbal. Strong presentation skills; ability to present technical solutions to non-technical persons in an easy to understand way. Preferred Qualifications: GPA of 3.0 or above. Right to work in the United State without sponsorship. Experience in agriculture, commodity, or manufacturing businesses. Experience in deep learning neural networks. Experience working in a cloud environment e.g., Amazon Web Services. Experience with Big Data development in Hadoop and Spark frameworks Equal Opportunity Employer, including Disability/Vet. Click here to apply online!