Want to build a stronger, more sustainable future and cultivate your career? Join Cargill’s global team of 160,000 employees who use new technologies, dynamic insights and over 157 years of experience to connect farmers with markets, customers with ingredients, and people and animals with the food they need to thrive. Your Internship: Gain real experience. Learn from the best. See how your work matters. Our internships are designed to prepare you for your career journey, not a final destination. When you join our team, you are welcomed into a community committed to providing you with a safe environment to learn, grow and cultivate your skills. With our expansive learning resources, our well-respected leaders, and our carefully curated development courses, you will be equipped to confidently solve tomorrow’s global issues. And, truthfully, our future relies on you. Your innovative minds, your intentional collaboration, and your sincere desire to nourish the world. Your work may be local, but at Cargill, your impact will be global. Join our community to cultivate your curiosity, develop meaningful relationships and propel your career. Data Science Forecasting Internship – at Cargill Innovation Lab at UIUC: 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. With that footprint comes massive amounts of data, both structured and unstructured, that can drive decision-making. You will be developing forecasting projects with advanced machine learning techniques that also use external inputs with continuously flowing data. By employing more sophisticated methods than standard time series analysis, your solutions will deliver significant value to Cargill’s business. As a Data Science Intern, from day one, you will be an integral part of the team. You will tackle real challenges, cultivate your curiosity, be visible, and build relationships with colleagues and clients who represent diverse work, culture, and styles of communication. Your initiative and insight will be acknowledged and valued, and you’ll be able to celebrate your own accomplishments as well as those of your team. We look for people who want to grow, support, think and produce. Your project will connect you to key decision-makers, and you will interact with a multidisciplinary team. You’ll bring your strong technical skills to the table and enrich our data science practice. You will explore, connect, and mine data for its predictive value, and you’ll use advanced machine learning techniques to design and build predictive models. This position is part of the Engineering and Data Sciences team. Specifically, you will be part of the growing Forecasting capability where you will be working to solve a variety of technical challenges, develop prototypes and build out a forecasting platform. Your Work: 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. Our Programming: With comprehensive learning resources at your disposal, you can take your learning in any direction. As employees, interns receive access to volunteer and community outreach opportunities and paid time off for volunteer activities. Internship details: Internship is 14 weeks in duration Internship is a part-time position (15-20 hrs/week) Interns are paid hourly for time worked Interns are responsible for transportation to and from work Our Benefits: No matter who you are or where you are, we have resources to meet your needs. As an intern, you’ll have access to a wide variety of programs to support you and help you thrive. Eligible programs and incentives include: Paid time off Mental Health and Wellbeing program Digital Learning Library Housing and Relocation Assistance for those that qualify Our Network: Your development is our priority. With our outstanding global network, you will establish relationships, acquire mentors, and build your professional contacts. Our program encourages and orchestrates networking opportunities that will benefit you now and in your future career. During the internship, you will also receive consistent support from university recruiting staff, mentors, colleagues, and your supervisor. Our Vibrant Community: At Cargill, you will be a part of our vibrant global community with a culture that celebrates diversity. This is a reflection of the clients we serve and generates an intellectually diverse set of employees. Business Resource Groups (BRGs) help us embrace our diversity, make our culture more inclusive and enhance our employees’ outstanding talents and perspectives to benefit our organization and employees. Our U.S. Business Resource Groups include: Asian Alliance Network, Cargill Young Professionals Network, Cargill Ability Network (iCAN), Cargill Ebony Council, Group Responsible for Orienting and Welcoming (GROW), Hispanic-Latino Council, Cargill Pride Network, Veterans & Military Support Network, and Cargill Women’s Network. Job Location: University of Illinois, Urbana-Champaign in Champaign, IL 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 after May 2024 or later Must be able to complete, at a minimum, a semester long part-time internship in Fall 2023 (September – December) Demonstrated abilities with applied programming in Python (e.g. numpy, pandas, scikit-learn) or R (e.g. ggplot2, cluster, dplyr, caret) Knowledge of several supervised learning algorithms (such as: linear regression, decision trees, neural networks, ensemble methods) Strong verbal and written communication skills Interest in learning a machine learning model development and deployment life cycle Curious, self-motivated, driven, and have a passion