As a Data Science Intern at GE Aerospace under the GE Aerospace Recruitment 2026 drive, you will be an integral part of the development team working on high-performance digital solutions. You will work closely with a mentor on exploratory projects, analyzing and designing components that meet rigorous aviation business standards. Your work will involve applying statistics, deep learning, and GenAI to solve identified problems in the aviation sector.
This role demands technical documentation excellence and strong communication skills. You will be responsible for preparing and presenting technical data generated during your project, ensuring it aligns with GE Aerospace policies. It is a unique opportunity to challenge existing processes and contribute to a more sustainable era of growth in aerospace and defense.

Data Science Intern

For the BNP Paribas Internship 2026, the team is looking for intellectually curious candidates who can not only solve complex problems but also understand the “why” and “how” behind the models. The intern will participate in the life of the LAB and take ownership of topics such as Automated Market Comments or Optimal Risk Management .
You will explore data from diverse sources, perform conceptual modeling, and handle data cleanup and transformation. The role requires a strong foundation in Probability Theory, Inference, and Linear Algebra .

Data Analytics Intern

As a Data Science Engineer at Sabre, you will be an early-career contributor heavily focused on building and testing Generative AI and agentic AI components. Utilizing Google Cloud Platform, Vertex AI, and ADK frameworks, your day-to-day operations will heavily emphasize hands-on coding. You will build intelligent agent tools, integrate simple planners, and implement baseline GenAI workflows like prompt engineering and RAG pipelines.
This role provides tremendous learning opportunities. You will work closely with senior engineers to understand complex architectures, participate actively in code reviews, ensure basic observability (logs, error handling), and strictly apply Responsible AI safety prompts and security guidelines.

Data Science Engineer

As a Data Science Specialist, you will be part of a cross-disciplinary team working on commercially-facing development projects involving massive, complex data sets. These teams include statisticians, computer scientists, software developers, engineers, and product managers working in concert with partners in GE business units. Potential application areas include remote monitoring and diagnostics across industrial sectors, operations optimization, and financial portfolio risk assessment.
You will play a critical role in addressing customer needs by developing applied, predictive, and prescriptive analytics. Working closely with data engineers and software developers, you will perform data quality assessments, translate algorithms into commercially viable services, and generate annotated code and project artifacts to document your outcomes.

Data Science Specialist

The mission of the Ventra Data Analytics and Automation team is to partner closely with internal business units to provide intelligent tools for data-driven decision-making. As a Data Analyst Intern, you will be heavily involved in data reporting, statistical analysis, and operational automation. Your core responsibility will involve validating fully automated financial reports to ensure total data accuracy while manually generating reports that are yet to be automated within the system.
This internship is heavily focused on accelerated technical learning and high-level execution. You will have the unique opportunity to learn Python on the job and immediately apply it to automate manual reporting sequences. Ventra encourages strong critical thinking; therefore, you will be expected to analyze existing reporting workflows and proactively suggest process improvements. You will take true ownership of your projects while remaining flexible in a fast-paced, collaborative corporate environment.

Data Analyst Intern

This Dentsu Internship is a specialized, entry-level role designed to offer fresh graduates comprehensive exposure across the complete data value chain. You will not be limited to a single silo; instead, your learning track will span from initial data wrangling and pipeline engineering all the way through to advanced business analytics and predictive modeling .
Working closely with cross-functional product, engineering, and business intelligence teams, you will help solve real-world marketing and operational problems using raw datasets. This role is ideal for highly analytical individuals who are passionate about uncovering hidden market insights, building scalable architecture to process data securely, and eventually developing machine learning models to drive automated corporate decision-making.

Data Analytics & Engineering Intern

As a Data Engineer Intern at Snowflake, you will design and build data streaming architectures based on complex business and product requirements. You will route, transform, and channel data from multiple inputs using a combination of distributed cloud structures and local databases. Under the mentorship of senior engineers, you will gain deep exposure to AI-Driven Automation , creating tools that leverage machine learning to automate the lifecycle of data pipeline creation and validation patterns seamlessly.
Depending on your alignment, you could join teams focusing on Data Platform & Enablement to scale underlying cloud frameworks, or Observability & Operations to build predictive alerting models that capture and fix pipeline issues before they impact the business. Regardless of your focus area, you will maintain data integrity on an automated basis and interact professionally with cross-functional technical leads to translate real stakeholder needs into modern, clean data solutions.

Data Science Intern

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