[Hiring] AI & Data Science Intern @The Chemours Company

Role Description

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
• Environment/Safety functions

Location: Wilmington, Delaware (remote work possible for outstanding candidates, who must be able to comfortably work 8am-5pm East Coast Time)

Hours: Full-time schedule of 40 hours per week (must not be enrolled in coursework at the same time as interning)

Preferred Start Date: ROLLING ADMISSIONS – We will host 1-3 interns at all times throughout the year.

Preferred duration of work: At least 6 continuous months

The responsibilities of the position include, but are not limited to, the following:

• Develop predictive models using tools in the Azure platform (e.g., 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

Specific examples of exciting projects that you could work on:

• Establish evaluations & improve accuracy of a GenAI model that is being used to extract chemical property information (e.g., 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 (e.g., 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

Qualifications

• 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

Requirements

• 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
• 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

Benefits

• Competitive Compensation
• Comprehensive Benefits Packages
• 401(k) Match
• Employee Stock Purchase Program
• Tuition Reimbursement
• Commuter Benefits
• Learning and Development Opportunities
• Strong Inclusion and Diversity Initiatives
• Company-paid Volunteer Day