Job Description

Diversified Gas & Oil Corporation (“DGOC”) is a wholly-owned subsidiary of Diversified Energy Company PLC, a US-based company listed on the New York Stock Exchange (NYSE) and London Stock Exchange (LSE) under the ticker symbol “DEC”. Diversified Gas & Oil Corporation (DGOC) is an established owner and operator of producing conventional and unconventional natural gas & oil wells and midstream pipelines and compression stations concentrated in the Appalachian Basin in the United States. Headquartered in Birmingham, AL, our field operations are located throughout the Appalachian Basin in the states of Tennessee, Kentucky, Virginia, West Virginia, Ohio, and Pennsylvania. In 2021, Diversified announced our expansion into our Central Regional Focus Area, which includes producing areas within Louisiana, Texas, Oklahoma, and Arkansas.

If you’re a self-starter with a strong work ethic, a positive attitude, and a passion for learning while working collaboratively with others, Diversified Energy could be the place for you. Our 10–14-week summer internships offer real-world experience working in the daily operations of our rapidly growing company. As a Diversified intern, you will:

• Gain exposure to our oil and gas business while assisting with projects aligned with our company goals.
• Utilize your skills and enhance your knowledge in production and operations.
• Engage with and present to Diversified leaders.
• Take part in professional development activities such as training, site visits, and networking opportunities.

Engineering & Data Science Intern – AI Applications:

We are seeking a passionate and talented Engineering and Data Science Intern to join our team. This role is ideal for students or recent graduates majoring in engineering, computer science, data science, or related fields who are eager to apply their expertise in modern artificial intelligence (AI) tools and techniques to real-world projects.  

Responsibilities:  

• AI Development: Assist in designing, training, and deploying machine learning models and AI applications to address business challenges.  

• Data Pipeline Management: Collaborate on building, maintaining, and optimizing data pipelines for AI and analytics projects.  

• Research and Implementation: Conduct research on cutting-edge AI technologies, frameworks, and best practices, and help integrate them into existing workflows.  

• Exploratory Data Analysis: Work with large datasets to uncover trends, patterns, and actionable insights that drive decision-making.  

• Tool Integration: Assist in the development and integration of AI tools and platforms into internal systems and processes.  

• Code Optimization: Write and optimize code for AI models, ensuring efficiency and scalability.  

• Collaboration: Work closely with cross-functional teams, including data engineers, product managers, and stakeholders, to understand project requirements and deliver solutions.  

• Documentation: Prepare detailed documentation of models, pipelines, and workflows for internal use and knowledge sharing.  

Preferred Skills:  

• Currently pursuing or recently completed a degree in Engineering, Data Science, Computer Science, or a related field.  

• Proficiency in Python, R, or similar programming languages.  

• Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) and data visualization tools (e.g., Tableau, Power BI).  

• Knowledge of cloud computing platforms like AWS, Azure, or Google Cloud.  

• Strong problem-solving and communication skills, with an eagerness to learn and apply AI concepts in real-world scenarios.  

• Experience with SQL and NoSQL databases.  

• Understanding of big data tools (e.g., Apache Spark, Hadoop).  

• Must be currently enrolled in a college/university program at the time of internship
• Self-starter with a passion for learning and a strong work ethic
• Eagerness to contribute in a team-oriented environment 
• Excellent written and verbal communication skills 

We value safety, production, efficiency, and enjoyment in our work. If you are interested in joining us for Summer 2025, please complete an application.

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