DNV Germany Holding GmbH
Data Science Intern
DNV Germany Holding GmbH, Oklahoma City, Oklahoma, United States,
About Energy Systems
We help customers navigate the complex transition to a decarbonized and more sustainable energy future. We do this by assuring that energy systems work safely and effectively, using solutions that are increasingly digital. We also help industries and governments to navigate the many complex, interrelated transitions taking place globally and regionally, in the energy industry.
As a
Data Science Intern
at ANB Systems, a DNV Company, you will design, develop, and maintain machine learning models and systems that play a vital role in our products. You will solve a variety of problems that leverage your deep understanding of machine learning principles.
This role is based at our DNV office in Houston, TX.
What You’ll Do
Collaborate with cross-functional teams, including Data Analysts, Software Developers, DevOps Engineers, and Product Managers to translate business requirements into highly available machine learning solutions.
Leverage your creative problem-solving skills to design, develop, and maintain scalable and efficient machine learning models using Python and other relevant technologies.
Create and optimize machine learning algorithms that support predictive analytics, artificial intelligence, and software.
Optimize model performance and accuracy by implementing efficient training and validation techniques.
Apply data preprocessing, feature engineering, and model evaluation to ensure model quality and integrity.
Write clean, efficient, maintainable code, and actively engage with team members in code reviews.
Create and maintain technical documentation covering machine learning models, workflows, and methodologies.
Assist and conduct proof of concepts for ANB products such as eTRACK+, DRM, and eTRM.
What Is Required
Currently pursuing a degree in computer science with specialization in data science or similar relevant technical degree.
Experience in Python and machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
Experience with data preprocessing, feature engineering, and model evaluation.
Familiarity with working in cloud environments – experience with AWS is preferable.
Experience with version control systems (e.g., Git) and familiarity with agile development practices.
Excellent communication and teamwork skills, with the ability to effectively collaborate with cross-functional teams.
We conduct pre-employment drug and background screening.
What Is Preferred
We strongly prefer for you to submit a 1-page cover letter along with your resume when applying.
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We help customers navigate the complex transition to a decarbonized and more sustainable energy future. We do this by assuring that energy systems work safely and effectively, using solutions that are increasingly digital. We also help industries and governments to navigate the many complex, interrelated transitions taking place globally and regionally, in the energy industry.
As a
Data Science Intern
at ANB Systems, a DNV Company, you will design, develop, and maintain machine learning models and systems that play a vital role in our products. You will solve a variety of problems that leverage your deep understanding of machine learning principles.
This role is based at our DNV office in Houston, TX.
What You’ll Do
Collaborate with cross-functional teams, including Data Analysts, Software Developers, DevOps Engineers, and Product Managers to translate business requirements into highly available machine learning solutions.
Leverage your creative problem-solving skills to design, develop, and maintain scalable and efficient machine learning models using Python and other relevant technologies.
Create and optimize machine learning algorithms that support predictive analytics, artificial intelligence, and software.
Optimize model performance and accuracy by implementing efficient training and validation techniques.
Apply data preprocessing, feature engineering, and model evaluation to ensure model quality and integrity.
Write clean, efficient, maintainable code, and actively engage with team members in code reviews.
Create and maintain technical documentation covering machine learning models, workflows, and methodologies.
Assist and conduct proof of concepts for ANB products such as eTRACK+, DRM, and eTRM.
What Is Required
Currently pursuing a degree in computer science with specialization in data science or similar relevant technical degree.
Experience in Python and machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
Experience with data preprocessing, feature engineering, and model evaluation.
Familiarity with working in cloud environments – experience with AWS is preferable.
Experience with version control systems (e.g., Git) and familiarity with agile development practices.
Excellent communication and teamwork skills, with the ability to effectively collaborate with cross-functional teams.
We conduct pre-employment drug and background screening.
What Is Preferred
We strongly prefer for you to submit a 1-page cover letter along with your resume when applying.
#J-18808-Ljbffr