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Internship Ocean Data Science Jobs in Texas (NOW HIRING)

KPMG US

Data Scientist- Associate

Dallas, TX · On-site

$58K - $58K/yr

Required : • Minimum one year of experience or strong internship/academic projects in data science, machine learning, or software engineering • Minimum of a Bachelor's degree is required • ...

NXP Semiconductors N.V.

Data Scientist

Austin, TX · On-site

$128K/yr

Master's degree in Computer Science, Data Science, foreign equivalent or related field. Required ... internship or related occupation involving: 1. Programming language in C++, Python, and SQL 2. ...

NXP Semiconductors

Data Scientist

Austin, TX · On-site

$128K/yr

Master's degree in Computer Science, Data Science, foreign equivalent or related field. Required ... internship or related occupation involving: 1. Programming language in C++, Python, and SQL 2. ...

Gartner

Data Analyst - 2026/2027 graduates

Irving, TX · On-site

  • Retirement

  • PTO

Collaborate with the Information Technology team and data scientists to ensure data quality, integrity, and consistency. Job Requirements Experience: Internship and/or academic experience involving ...

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Internship Ocean Data Science information

What is an internship in ocean data science?

An Internship in Ocean Data Science is a temporary position designed for students or early-career professionals to gain practical experience in analyzing and interpreting data related to the ocean. Interns typically work alongside scientists and researchers to collect, process, and visualize oceanographic data, often using programming languages like Python or R. These internships can involve tasks such as data cleaning, statistical analysis, working with remote sensing data, or developing tools to better understand marine environments. The experience helps interns build technical skills and gain insights into careers in marine science and data analysis.

What types of projects or tasks can I expect to work on during an ocean data science internship?

As an Ocean Data Science intern, you will likely work on projects involving the collection, processing, and analysis of oceanographic data, such as temperature, salinity, and current measurements. Tasks may include data cleaning, visualization, and using programming languages like Python or R to analyze large datasets. Interns often collaborate with experienced scientists and engineers, contributing to real-world research or conservation initiatives. The work environment is typically team-oriented, with opportunities to learn from interdisciplinary experts and gain hands-on experience with cutting-edge technologies.

What are the key skills and qualifications needed to thrive as an ocean data science intern, and why are they important?

To thrive as an Ocean Data Science Intern, you need a solid background in oceanography, statistics, and programming (typically Python or R), usually supported by coursework or a related degree. Familiarity with data analysis tools, geospatial software (like ArcGIS or QGIS), and data visualization platforms is commonly required. Strong analytical thinking, attention to detail, and effective communication skills help you interpret complex data and collaborate with multidisciplinary teams. These competencies are vital for extracting meaningful insights from ocean datasets and contributing to research or applied projects.

What is the difference between Internship Ocean Data Science vs Ocean Data Analyst?

AspectInternship Ocean Data ScienceOcean Data Analyst
Required CredentialsCurrently enrolled in or recent graduate in oceanography, data science, or related fieldsBachelor's or master's in oceanography, data analysis, or related disciplines
Work EnvironmentInternship programs, often in research institutions or environmental agenciesFull-time roles in research centers, government agencies, or private companies
Employer & Industry UsageUsed by organizations offering training or entry-level positions in ocean data scienceCommonly employed in data analysis, research, and environmental monitoring roles

Internship Ocean Data Science typically involves entry-level training and project work for students or recent graduates, focusing on gaining practical skills. Ocean Data Analysts are experienced professionals performing data interpretation, reporting, and decision support in ocean-related industries. The internship is a stepping stone, while the analyst role requires more expertise and experience.

What are the most commonly searched types of Ocean Data Science jobs in Texas?

The most popular types of Ocean Data Science jobs in Texas are:

Internship Ocean Data Science jobs near you
Infographic showing various Internship Ocean Data Science job openings in Texas as of August 2026, with employment types broken down into 100% Internship. Highlights an 50% In-person, and 50% Hybrid job distribution.

Data Scientist- Associate

KPMG US

Dallas, TX • On-site

$58K - $58K/yr

Full-time

Posted 11 days ago

Job description

Job Summary:
KPMG is a renowned company providing audit, tax, and advisory services across important industries. They are currently seeking a Data Scientist to join their Audit Technology Alliance organization, focusing on developing generative AI solutions and collaborating with teams to enhance technology applications.
Responsibilities:
• Develop and implement core components of generative AI solutions, including RAG pipelines and context engineering features, within our established architecture; driving quality into prompt engineering and optimization for business use cases
• Support senior team members in the implementation of RAG pipelines and context engineering systems by building and testing specific modules
• Collaborate with AI engineers and other data scientists to integrate model outputs into the broader microservice architecture
• Focus on learning and applying our technology stack, including LangChain/LangGraph, Azure AI Search, and our AKS-based infrastructure
• Drive product advancement by diligently executing experiments, documenting results, and contributing to our culture of continuous improvement
• Participate actively in agile ceremonies and contribute to the team's collective knowledge of generative AI, audit methodologies, and best practices
• Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment
Qualifications:
Required:
• Minimum one year of experience or strong internship/academic projects in data science, machine learning, or software engineering
• Minimum of a Bachelor's degree is required
• Foundational knowledge of machine learning concepts and Python for data analysis; familiarity with LLMs and frameworks like LangChain is preferred
• Exposure to cloud platforms (preferably Azure) and data platforms like Databricks or Microsoft Fabric
• Familiarity with the principles of the software development lifecycle (SDLC) and version control tools like ADO and Github
• Strong analytical and problem-solving skills, with an eagerness to learn and a collaborative, team-oriented mindset (200TEC)
• Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)
Preferred:
• Master's degree from an accredited college or university in Computer Science, Data Science, Statistics, or a related quantitative discipline is preferred
• Familiarity with LLMs and frameworks like LangChain is preferred
Company:
KPMG is one of the world’s leading professional services firms and the fastest growing Big Four accounting firm in the United States. Founded in 2010, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.

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