Tax - BTS - FTA - EDGE STEM R&D Credits - Chemical Engineering - Intern - Summer

USA
- Tax - BTS - FTA - EDGE STEM R&D Credits
- Chemical Engineering
- Intern
- Summer 2027

1740884 IL-Chicago, TX-Austin, TX-Dallas, TX-Houston

At EY, we’re all in to shape your future with confidence.

We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.

Join EY’s dynamic Tax practice, where deep technical expertise is combined with advanced technologies and innovation to deliver exceptional client service. As part of our Business Tax Services (BTS) group, you’ll work with a diverse portfolio of clients, from chemicals, energy, and industrial manufacturing companies to pharmaceuticals and materials science organizations, helping them navigate the intersection of process innovation, engineering, and business strategy.

Our team goes beyond compliance to identify opportunities for process optimization, efficiency improvements, and risk management, supporting organizations as they develop and scale innovative technologies. This role is particularly well suited for candidates interested in process engineering, manufacturing systems, product development, and applied industrial innovation, and who are eager to see how engineering advancements translate into real business value.

When you join EY as an EDGE STEM R&D Credits Chemical Engineering Intern within Federal Tax Advisory (FTA), you will collaborate at the intersection of process engineering and applied research, supporting clients in documenting and substantiating their research and development (R&D) initiatives across industries such as chemicals, pharmaceuticals, energy, and advanced manufacturing.

This opportunity is well suited for those who are interested in applying their knowledge of process design, reaction engineering, thermodynamics, and material science in a consulting environment. You will gain exposure to real-world industrial processes, emerging technologies, and innovation strategies, while building both your technical expertise and commercial awareness.

You will be part of a collaborative, high-performing team of engineers, scientists, and tax professionals, contributing to a fast-growing practice focused on innovation and technology.

• Leveraging your chemical engineering knowledge (e.g., process design, unit operations, reaction systems, and material properties) to identify and evaluate client R&D activities and innovation opportunities during technical discussions.
• Developing detailed technical narratives that document qualifying R&D efforts, translating complex engineering concepts such as process flow diagrams (PFDs), mass and energy balances, lab-scale and pilot-scale data into clear and structured analyses.
• Analyzing technical documentation, including experimental results, plant data, and scale-up studies, to assess development challenges related to yield optimization, process efficiency, product quality, and operational reliability.
• Collaborating cross-functionally with a global team of engineers, scientists, accountants, and legal professionals to deliver rigorous, high-quality analyses that support client research credit studies.
• Managing project timelines and deliverables, supporting multiple client engagements.

To qualify for the role, you must have:

• A predicted undergraduate or graduate degree in Chemical Engineering or a related field, supported by a strong academic record.
• A minimum 3.0 cumulative college/university GPA.
• A working knowledge of unit operations, reaction engineering, thermodynamics, transport phenomena, and process design, along with exposure to manufacturing processes and scale-up concepts.
• Ability to apply scientific methods and engineering techniques to evaluate process performance, analyze experimental or production data, and understand product and process development challenges (e.g., yield optimization, process efficiency, and product quality).
• An interest working in our team‑led and leader‑enabled hybrid model. Our expectation is…