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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 Internship: As a Data Science Intern, you will be an integral part of the team working with the Engineering and Data Science Teams to 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. Your Work: 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 in addition to developing models using various algorithms. 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 and 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. Throughout the internship, interns and co-ops are invited to participate in events that will give exposure to leadership, provide development opportunities, and offer the ability to network with cross-functional interns/co-ops across the U.S. Internship details: Internships are typically 12 weeks in duration. Interns are paid hourly for time worked. 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 *Minnesota-based employees: Minnesota Sick and Safe Leave accruals of one hour for every 30 worked, up to 48 hours per calendar year unless otherwise provided by law. Compensation: The expected hourly rate for this position is $39.00 - $42.00. Compensation decisions are dependent on graduation date and eligibility for full-time employment. 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 Cargill Women’s Network Job Locations: Fully Remote Internship Location is subject to compliance check & approval Required Qualifications: Currently pursuing a Masters or PhD program in Data Science, Machine Learning, Computer Science, Engineering, Operations Research, Statistics, Mathematics or related fields with a graduation date of Fall 2024 or later. Strong background in time series and streaming data analysis, industrial engineering, statistical process monitoring and control. In-depth knowledge of various other modeling algorithms, e.g., regression, trees-based models, neural networks, ensembles, etc. Proficiency in Python (e.g., pandas, scikit-learn, bokeh, matplotlib, NumPy) Able to complete a 12-week internship in the summer (May/June - August 2024) Proven ability to work optimally with individuals from a diverse set of backgrounds and cultures Must possess a high degree of initiative and resourcefulness in completing work with limited guidance Preferred Qualifications: GPA of 3.0 or above 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