Data Science Intern

About this opportunity

Within Cognitive Software Engineering, you will be working with groundbreaking technology (5G, Automation & Cloud computing) to leverage the power of AI/ML and to develop state of the art software for network design and optimization services. As part of our commitment to nurturing future talent, we are offering an exciting opportunity for a Data Scientist Intern to join our organization.
You will work closely with our experienced data science team to review and integrate AI models and algorithms. You will gain hands-on experience in data analysis, machine learning, and AI techniques, while contributing to the development of cutting-edge software solutions.
This internship will provide valuable exposure to real-world projects and an opportunity to learn from industry experts.

You’ll get the opportunity to

• Collaborate with the data science team & software engineers to analyze and understand project requirements and objectives.
• Lead the integration of AI models into software applications and ensure their proper functionality.
• Conduct exploratory data analysis, data preprocessing, and feature engineering to prepare data for modeling tasks.
• Review and experiment with different machine learning techniques, including supervised and unsupervised learning algorithms.
• Train, validate, and fine-tune machine learning models using relevant programming languages and frameworks.
• Evaluate and interpret the performance of AI models using appropriate evaluation metrics and statistical methods for various software projects.
• Document and present findings, insights, and recommendations to the data science team and project stakeholders.
• Stay updated with the latest advancements and best practices in AI, machine learning, and data science techniques.
• Contribute to team discussions, brainstorming sessions, and knowledge sharing activities to foster a collaborative learning environment.

Key skills

• Master's degree in Computer Science, Data Science, Statistics, or a related field.
• Solid understanding of fundamental concepts in machine learning, statistical modeling, and data analysis.
• Proficiency in programming languages commonly used in data science, such as Python.
• Familiarity with popular machine learning frameworks and libraries, such as TensorFlow, PyTorch, or scikit-learn.
• Experience with data preprocessing, feature engineering, and exploratory data analysis techniques.
• Knowledge of statistical methods, hypothesis testing, and experimental design.
• Strong analytical and problem-solving skills, with the ability to work with large datasets and extract meaningful insights.
• Good communication and teamwork skills, with the ability to collaborate effectively with team members spread across the globe.
• Fluent English is a must, written and spoken.
• Self-motivated and eager to learn, with a passion for AI, machine learning, and data science.
• Previous experience or coursework in AI, machine learning, or data science is a plus.

Interns:

Interns who join us will enjoy an outstanding chance to make connections, to make change, to make a real difference. We are always looking for interns to become permanent members of our Ericsson team, so you’ll have the opportunity to discuss your future with us during your internship.

What happens once you apply?

Click here to find all you need to know about what our typical hiring process looks like. This may vary depending on the location and role.
Frequently asked questions
Students and Early Careers
Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we nurture it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team.
Ericsson is proud to be an Equal Opportunity and Affirmative Action employer, learn more.

Primary country and city: Spain (ES) || Madrid

Req ID: 757379