Description
ANB Systems a DNV Company is looking to hire Data Science Interns for Spring 2026 focused on ML model development data science and analytics and product integration as part of ANBs Data Science team. This role collaborates closely with our Technology Center in India. As a Data Science Intern you will work oneTRACK & DRM product developmentinternal clients across DNV andexternal clients as required by willsupport projects sourced by other divisions of DNV andcontribute to product development and furthering our MLAI capabilities.
This is in-person role 5 days a week at our DNV office in Houston TX.
What Youll 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 benefitsSpending accounts FSA Dependent Care Commuter Benefits company-seeded HSAEmployer-paid therapist-led virtual care services through Talkspace401(k) with company matchCompany provided life insurance short-term and long-term disability benefitsEducation reimbursement programFlexible work schedule with hybrid opportunitiesCharitable Matched Giving and Volunteer Rewards through our Impact ProgramVolunteer time off (VTO) paid by the companyCareer advancement opportunitiesBenefits vary based on position tenure location and employee electionDNV 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 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 (). Information received relating to accommodation will be addressed confidentially.
For more information
strongly prefer for you to submit a 1-page cover letter along with your resume when applying
What Is Required
Currently pursuing a degree or recently graduated in computer science with specialization in data science or similar relevant technical degreeExperience in Python and machine learning frameworks such as TensorFlow PyTorch or scikit-learnExperience with data preprocessing feature engineering and model evaluationFamiliarity with working in cloud environmentsExperience with version control systems (e.g. Git) and familiarity with agile development practicesExcellent communication and teamwork skills with the ability to effectively collaborate with cross-functional teamsWe conduct pre-employment drug and background screeningWhat Is Preferred
Experience with AWS is preferableImmigration-related employment benefits for example visa sponsorship are not available for this positionRequired Experience :
Intern
Key Skills
Campaigns,Abinitio,AutoCAD 3D,Hardware & Networking,Customer Support,Arabic
Employment Type : Full-Time
Experience : years
Vacancy : 1