Data Science Intern

Job Description: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

Responsibilities:

• Generous paid time off (vacation, sick days, company holidays, personal days)
• Multiple Medical and Dental benefit plans to choose from, Vision benefits
• Spending accounts – FSA, Dependent Care, Commuter Benefits, company-seeded HSA
• Employer-paid, therapist-led, virtual care services through Talkspace
• 401(k) with company match
• Company provided life insurance, short-term, and long-term disability benefits
• Education reimbursement program
• Flexible work schedule with hybrid/remote opportunities
• Charitable Matched Giving and Volunteer Rewards through our Impact Program
• Volunteer time off (VTO) paid by the company
• Career advancement opportunities

**Benefits vary based on position, tenure, location, and employee election**How We Do ItWeCare, WeDare, WeShareDNV is a proud equal-opportunity employer committed to building an inclusive and diverse workforce. All employment is decided on the basis of qualifications, merit, or business need, without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.DNV is committed to ensuring equal employment opportunity, including providing reasonable accommodations to individuals with a disability. US applicants with a physical or mental disability who require a reasonable accommodation for any part of the application or hiring process may contact the North America Recruitment Department (hrrecruitment.northamerica@dnv.com). Information received relating to accommodations will be addressed confidentially.DNV is proud to announce being named one of Houston’s best places to work in the 2022 Houston Business Journal – Best Places to Work competition.For more informationPlease visit our website atQualifications: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

About Us:About Energy SystemsWe 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.

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