Data Science Summer 2027 Internship Program

Summary

Datacor is a provider of software solutions for the process manufacturing industry, including ERP, CRM, asset tracking, simulation, and formulation platforms. The Data Science Summer 2027 Intern will collaborate with stakeholders and cross-functional teams to identify AI opportunities, develop and deploy scalable AI applications, build data pipelines, and experiment with generative LLMs.

Responsibilities

• Collaborate with stakeholders to identify new AI opportunities and create intelligent AI applications
• Lead MVP development using a test-and-learn approach with cross-functional teams
• Iterate from problem framing to prototyping and deploying production-grade solutions
• Deliver reliable, scalable AI features in production
• Build prototypes and develop data pipelines for deployment
• Experiment with generative LLMs to create and enhance generative applications using prompts and user feedback
• Clearly communicate efforts and impact to both technical and business audiences

Skills

• Currently enrolled in a Master's of PhD program in Computational Data Science, Computer Science, Electrical/Computer Engineering, or related fields
• A self-starter with the ability to work independently and within a team
• Expertise in the latest Large Language Models (LLMs) and AI advancements
• Proactive in staying updated with evolving AI trends and new LLM releases
• Skilled at diagnosing and solving complex, ambiguous problems with curiosity and a product-focused mindset
• Strong communication and presentation skills, able to convey complex analysis clearly and actionably
• Results-oriented, creative thinker who takes initiative and delivers practical solutions
• Committed to inclusivity, respecting diverse perspectives to foster innovation and build great products
• Proven expertise in implementing and fine-tuning generative AI LLMs, with strong NLP knowledge including embeddings, GPT, and Transformer models
• Familiarity with cloud computing and AI deployment on AWS or Google Cloud
• Solid foundation in deep learning, machine learning, statistics, and optimization from coursework or practical experience
• Proficient in Python & C++/Java programming through academic or work experience
• Experience in a professional environment, including prior internship experience is preferred

Qualifications

Must Haves

• Currently enrolled in a Master's of PhD program in Computational Data Science, Computer Science, Electrical/Computer Engineering, or related fields
• A self-starter with the ability to work independently and within a team
• Expertise in the latest Large Language Models (LLMs) and AI advancements
• Proactive in staying updated with evolving AI trends and new LLM releases
• Skilled at diagnosing and solving complex, ambiguous problems with curiosity and a product-focused mindset
• Strong communication and presentation skills, able to convey complex analysis clearly and actionably
• Results-oriented, creative thinker who takes initiative and delivers practical solutions
• Committed to inclusivity, respecting diverse perspectives to foster innovation and build great products
• Proven expertise in implementing and fine-tuning generative AI LLMs, with strong NLP knowledge including embeddings, GPT, and Transformer models
• Familiarity with cloud computing and AI deployment on AWS or Google Cloud
• Solid foundation in deep learning, machine learning, statistics, and optimization from coursework or practical experience
• Proficient in Python & C++/Java programming through academic or work experience

Nice to Haves

• Experience in a professional environment, including prior internship experience is preferred

Benefits

• Remote internship