AI & Data Science Intern

The Chemours Company

1d•Hybrid

About The Position

As we create a colorful, capable and cleaner world through chemistry, we invite you to join our team to harness the power of chemistry to shape markets, redefine industries and improve lives for billions of people around the world. CREATING ESSENTIAL CHEMISTRY THAT THE WORLD NEEDS At Chemours, our people are redefining how the world thinks of chemistry by approaching everything we do with a commitment to delivering Trusted Chemistry that creates better lives and helps communities thrive. That begins with how we use our science, data, and unmatched technical expertise to develop market-leading products with the highest levels of performance, sustainability, and safety in the industry. Powered by chemistry, our products are used in applications that make the products we rely on, processes, and new technologies possible. In key sectors such as clean energy, advanced electronics, high-performance computing and AI, climate friendly cooling, and high-quality paints and coatings for homes and industrial infrastructure---sustainable solutions and more modern living depend on Chemours chemistry. Chemours is seeking a Generative AI and Data Science Intern to join our AI & Data Science team! This position will report directly to a senior AI & Data Science Team Member. The Generative AI & Data Science Intern will work closely with our team to create and deploy predictive AI models and GenAI solutions to support all areas of the business, including R&D, Finance, Manufacturing, Legal, and Environment/Safety functions of the company.

Requirements

Enrollment at an accredited college or university pursuing or have recently completed a Bachelor’s, Master’s, PhD, or Post-Doctoral degree in Data Science, Computer Science, AI, Software Engineering, Computational Chemistry, or other a very similar field to those
2+ years of programming experience with Python including experience using pandas and scikit-learn packages
1+ year practical experience in data science building predictive ML models (e.g. having done feature selection and engineering, model selection and hyperparameter tuning, data cleansing, data analysis); typical use cases will involve working with time-series data and/or chemical properties to make predictions AND/OR 1+ yr practical experience developing GenAI applications (using RAG, hybrid search, building UI for applications, etc.)
Fast learner and strong collaborator, who can work efficiently with high output
Strong communication skills with the ability to present findings to a non-technical audience

Nice To Haves

Currently enrolled in or who have completed a Master’s, PhD, or Post-Doctoral program
Ability to continue for 6+ months
Candidates with prior experience working in Enterprise environments at other companies, especially building and deploying apps and GenAI agents into production using platforms such as Azure, Google Cloud, or AWS (for reference: primary tools in our environment would be Python, Azure OpenAI, Azure ML Studio, Microsoft Fabric, HTML, Visual Studio Code, Chainlit, JavaScript, Streamlit, SQL database).
Minimum GPA of 3.0 or above
High proficiency in analytical, quantitative, and problem-solving capabilities
Strong leadership qualities in taking initiative to drive results
Motivation to tackle complex, real-life business problems and build a robust professional resume

Responsibilities

Develop predictive models using tools in the Azure platform (eg. Microsoft Fabric, Azure ML Studio, etc.)
Write data preparation and analysis routines in Python using the pandas and scikit-learn packages
Participate in dataset design and statistical modeling discussions
Integrate process control solutions with data science models
Design and deploy GenAI solutions and apps into production enterprise environments
Collaborate on full-stack development for small applications and efficient UI/UX workflow building
Apply and share best practices for designing and delivering GenAI hybrid search
Establish evaluations & improve accuracy of a GenAI model that is being used to extract chemical property information (eg. boiling point) from millions of pages of literature
Establish evaluations & enhance accuracy & relevance metrics of a hybrid search + RAG GenAI model used to query Operations & Safety procedures
Use your ML experience to evaluate which approach (model + tuning) works best to predict chemical properties of a compound (eg. flammability)
Gather UX requirements, and build a front-end/UI (using React, Flask, or Streamlit) for the Legal team to make it easy for non-technical users to process a high volume of documents using our custom GPT/ GenAI script.
Design multi-agent systems that break down complex user requests into smaller, actionable subtasks to improve answer quality and adherence to guardrails