Software Engineer Student- Master's degree (Beer-Sheva)

Software Engineer Student (Data Science) - Master's degree (Beer-Sheva)

***Please share your grade sheet. Application without grade sheet will not be consider***

At Dell Technologies, we are always looking for the next generation of innovative thinkers to drive our business forward. As an intern, you will have the opportunity to work on meaningful projects, partner with professionals across the globe while gaining knowledge about our business. At Dell, you are encouraged to be yourself, you will find a culture where differences are celebrated, and diverse ideas are heard and respected. Our mission is to enable the future generation of professionals to create strong networks, achieve critical experiences, and develop core skills that position you for career success.

Join us as a Software Engineer Student on our R&D organization in Israel, Beer-Sheva to do the best work of your career and make a profound social impact.

What you’ll achieve

As a Student in our Data Science team, you will be responsible for developing cutting-edge machine learning models and algorithms while providing creative, data-driven solutions based on our business needs. 

You will:

• Analyze large, complex datasets to extract meaningful insights and drive business value.

• Design, develop, test, and integrate machine learning models and algorithms as part of a team of experienced data scientists and engineers.

• Build and optimize data pipelines and data processing architectures.

• Collaborate with cross-functional teams to integrate AI/ML solutions into existing software products.

• Participate in special research and development projects as needed.

• Studying towards a master's degree in computer science, Software Engineering, Data Science, Information Systems, or a related field: graduation date September ’27 - a must!

• Strong analytical, critical thinking, and problem-solving skills.

• Very high level of English proficiency.

• Team player, highly motivated, methodical approach.

• Quick self-learner with a strong passion for data and algorithms

• Strong programming skills in Python (or similar languages used in Data Science environments).

• Familiarity with Machine Learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch) and data manipulation libraries (e.g., Pandas, NumPy).