Data Science Intern

Who are we, and what do we do?At Corteva Agriscience, you will help us grow what's next. No matter your role, you will be part of a team that is building the future of agriculture. We’re leading breakthroughs at the intersection of chemistry and artificial intelligence—leveraging generative AI, large language models (LLMs), and advanced analytics to revolutionize crop protection product development, improving lives worldwide and driving progress for humanity.Corteva Agriscience™ is seeking students for full-time internship within our AI and Data Science organization in Indianapolis, Indiana, working at the exciting crossroads of AI/ML and Chemistry. We offer students the opportunity to work closely with senior data scientists, ML engineers, chemists, and crop protection researchers in an industrial setting, with extensive opportunities to network across the company. This unique role focuses on applying cutting-edge AI technologies to accelerate formulation development. Students are encouraged to be creative and take initiative, where appropriate, while working with their supervisor. Students are expected to always operate in a safe and efficient manner. Essential to this internship are interpersonal, organizational, communication, teamwork, and time management skills.What You'll DoBuild LLM Agents: Create specialized LLM applications using domain-specific fine-tuning and RAG systems trained on chemistry literature, patents, safety data sheets, regulatory documents, and internal research dataApply AI/ML to Formulation Development: Develop and deploy generative AI and machine learning models to optimize formulationsAutomate Workflows: Create AI-powered tools to automate data extraction from experimental reports, literature mining for chemical information, and analysis of analytical chemistry data (NMR, MS, HPLC)Collaborate Across Disciplines: Partner with chemists, analytical scientists, formulation scientists, and agronomists to understand their challenges and develop AI solutions that address real-world crop protection problemsPresent Impact: Deliver project reviews throughout the summer and a final presentation showcasing how your AI/ML work has advanced crop protection chemistry researchQualificationsCurrently pursuing a Bachelor's, Master's, or Doctorate degree in Computer Science, Machine Learning, Artificial Intelligence, Computational Chemistry, Chemical Engineering, Chemistry, Material Science, Polymer Science or a related technical fieldMust have completed at least three years of undergraduate work before the start of the internshipGPA of 3.0 or betterMust be able to relocate to Indianapolis, Indiana for the duration of the internshipMust be able to work full-time (40 hours per week) for at least 10 weeks during the timeframe of May to AugustRequired Technical SkillsProgramming: Strong proficiency in Python with experience in AI/ML libraries (PyTorch, TensorFlow, scikit-learn, pandas, NumPy)LLMs & Generative AI: Hands-on experience with large language model APIs (OpenAI, Anthropic, Google, or open-source models) and understanding of LLM applicationsPrompt Engineering: Demonstrated ability in designing prompts for technical/scientific tasks and optimizing model outputs for domain-specific applicationsRAG Systems: Understanding of Retrieval-Augmented Generation concepts including vector embeddings, semantic search, chunking strategies for scientific literatureData Management: Proficiency with SQL and experience in data manipulation, cleaning, and preprocessing of complex technical datasetsStatistical Analysis: Understanding of data structures, algorithms, statistical methods, and their application to experimental dataScientific Communication: Strong ability to communicate with both AI/ML experts and chemistry/crop protection domain specialistsProblem-Solving: Analytical mindset with curiosity about both chemistry and AI, and willingness to learn domain-specific conceptsPreferred SkillsAI/ML Expertise:Experience with LLM application frameworks (LangChain/Langgraph, LlamaIndex) and their application to scientific domainsKnowledge of fine-tuning techniques (LoRA, QLoRA) for domain adaptationFamiliarity with vector databases (Pinecone, Weaviate, Milvus, Chroma, FAISS)Experience with cloud platforms (AWS, Azure, GCP) and their AI/ML servicesUnderstanding of MLOps/LLMOps practices including CI/CD, version control (Git), and model deploymentChemistry/Scientific ComputingBasic understanding of organic chemistry, analytical chemistry, or formulation science conceptsFamiliarity with cheminformatics tools and libraries (RDKit, DeepChem, Open Babel, ChemPy)Experience working with chemical structure representations (SMILES, InChI, molecular fingerprints, graph neural networks)Understanding of chemical databases (PubChem, ChEMBL, SciFinder) and scientific literature repositoriesAre you a good match? Apply today! We seek applicants from all backgrounds to ensure we get the best, most creative talent on our team.Corteva Agriscience is an equal opportunity employer. We are committed to embracing our differences to enrich lives, advance innovation, and boost company performance. Qualified applicants will be considered without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, military or veteran status, pregnancy related conditions (including pregnancy, childbirth, or related medical conditions), disability or any other protected status in accordance with federal, state, or local laws.Are you a good match? Apply today! We seek applicants from all backgrounds to ensure we get the best, most creative talent on our team.Corteva Agriscience is an equal opportunity employer. We are committed to embracing our differences to enrich lives, advance innovation, and boost company performance. Qualified applicants will be considered without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, military or veteran status, pregnancy related conditions (including pregnancy, childbirth, or related medical conditions), disability or any other protected status in accordance with federal, state, or local laws.