Data Science Intern

Ascend Performance MaterialsHouston, TX
Onsite

About The Position

Ascend Performance Materials is seeking highly motivated, intellectually curious students for a data science internship within its Value Office. This role focuses on leveraging data science, advanced analytics, and AI (including LLMs such as ChatGPT) to drive measurable business value across the organization. The Value Office identifies and unlocks value through data-driven insights, improved decision-making, and optimization of business processes. We are looking for individuals passionate about deep analytics, real-world problem solving, and translating data into tangible business outcomes. This is a hands-on, high-impact role where interns will work across functions and global datasets to support value creation initiatives. Interns will be mentored by senior data science leadership and collaborate closely with cross-functional teams. High-performing candidates may be considered for extended opportunities based on demonstrated impact.

Requirements

  • Strong passion for data science applied to business value creation
  • Experience working with data in Python, R, or similar environments
  • Understanding of machine learning techniques (regression, forecasting, pattern recognition)
  • Interest in and practical use of LLMs / generative AI tools (e.g., ChatGPT)
  • Ability to work with messy, incomplete, real-world datasets
  • Strong problem-solving mindset with a focus on impact and execution
  • Excellent communication skills; ability to translate technical insights into business language
  • Self-starter with the ability to work independently and across teams
  • Currently enrolled in an accredited college or university
  • GPA of 3.0 or higher preferred
  • Must be local to Houston with reliable transportation to our downtown headquarters

Nice To Haves

  • Coursework or experience in Computer Science, Data Science, Engineering, Statistics, or related fields
  • Experience with data visualization tools (Power BI, Tableau, etc.)
  • Exposure to cloud/data platforms (e.g., Azure)

Responsibilities

  • Apply data science within the Value Office to identify, quantify, and deliver business value
  • Leverage LLMs and AI tools (e.g., ChatGPT) to accelerate analysis and solution development
  • Work with diverse global datasets (structured, unstructured, observational, and incomplete)
  • Support initiatives aimed at: Improving process efficiency and operational reliability, Enhancing commercial and strategic decision-making, Identifying cost, productivity, and margin improvement opportunities
  • Translate complex or ambiguous business challenges into clear, data-driven insights and actions
  • Collaborate with stakeholders across operations, engineering, commercial, and corporate functions
  • Communicate findings with a strong focus on business impact and value creation
  • Analyze and integrate multi-source, real-world data to generate actionable insights
  • Develop and test analytical models, forecasts, and decision-support tools
  • Utilize AI/LLM tools to enhance productivity and accelerate solution development
  • Identify and quantify value creation opportunities across the business
  • Validate solutions with stakeholders and refine based on feedback
  • Support the development of scalable tools and approaches within the Value Office framework
  • Communicate results clearly, linking analysis directly to business outcomes

Benefits

  • Access to on-site medical clinics at our U.S. facilities
  • Global wellness rewards program
  • Performance Matters, an employee-driven recognition plan
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