We are looking for the right people — people who want to Innovate. Achieve. Grow. Lead. We attract and retain the best talent by investing in our employees and empowering them to achieve their career potentials  Explore the possibilities in a career that helps bring energy to the world. At Halliburton, we want people who want to make a difference. Take risks. Inspire. Be inspired. Learn. Collaborate to create a better future in a safe, ethical, and dynamic workplace with limitless opportunity.

What You’ll Do…

These positions are located at our R&D Facilities in Houston, Texas.  Our intern program philosophy is to “recruit once, hire twice” with the hope to hire interns back into full-time or return internship roles.  

The internship program assignments are 10-14 weeks in duration and are full-time hybrid internships.  The summer 2025 internship is expected to begin on May 20, 2025.  

Your Key Responsibilities:

Projects you could potentially work on include:

• Get basic training on the performance tests used to evaluate oilfield chemicals.
• Collect and organize large amounts of data, perform statistical analyses to extract insights, and use statistical methods and/or data analytics tools to fit predictive models.
• Support the Senior Data Scientist on data cleaning, image/video processing tasks, and development of machine learning and computer vision models.
• Collaborate, and assist on the evaluation of oilfield chemicals using advanced developmental methods.
• Support Halliburton Multi-Chem’s initiatives to drive differentiation and efficiencies through digitalization, data analytics, and artificial intelligence.

What You’ll Bring to Our Team

Required Qualifications:

• Be a highly self-motivated and progress-driven individual willing to work in challenging problems.
• Fundamental knowledge and hands-on experience with data science tools, preferably Python, SQL, Microsoft Azure, Visual Studio.
• Hands-on experience on image processing techniques such as KERAS, TensorFlow, and Pillow.
• Hands-on experience on the development of deep learning models for various classification, regression, and generation tasks.
• Experience developing supervised and Unsupervised ML Models using kNN, SVC, LR, Random Forest, NN, K-means, etc.
• Hands-on experience on advanced Python visualization using NumPy, Matplotlib, Pandas, Seaborn, etc.

What We Offer…

Relocation

This position offers relocation based on candidate eligibility. To qualify, your university and/or permanent address must be more than 50 miles from your work location.

• Corporate housing provided for the summer to those candidates who qualify.
• Relocation assistance.

Salary Range: $26 - $31/hour

Please note that pay information shown below is a general guide only. Salaries are based upon candidate experience and qualifications, as well as market and business considerations.

What’s In It for you:

• An internship with Halliburton will provide great insight to see if this is the right career for you.
• You’ll receive hands-on, real-world work experience that will help you prepare for the next step in your career.
• You’ll become an integral part of our team and be expected to deliver results that will make an impact.
• Develop meaningful connections with industry leaders, learn a lot about the industry and develop the cutting-edge skills you need to become a leader for tomorrow.
• Collaborate with teams across the globe and with diverse backgrounds – both professionally and culturally.

Halliburton is one of the world’s leading providers of products and services to the energy industry. Founded in 1919, we create innovative technologies, products, and services that help our customers maximize their value throughout the life cycle of an asset and advance a sustainable energy future.