Job Title: Data Scientist internship
Company: Ericsson
Location: Málaga, Andalusia, Spain
Description:
Our Exciting 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 will:


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.
Oversee the lifecycle management of AI models, including deployment, monitoring, updating, and retraining strategies to ensure sustained performance and relevance.
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.


To be successful in the role you must have:


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.


What´s in it for you?

Here at Ericsson, our culture is built on over a century of courageous decisions. With us, you will no longer be dreaming of what the future holds – you will be redefining it. You won’t develop for the status quo but will build what replaces it. Joining us is a way to move your career in any direction you want; with hundreds of career opportunities in locations all over the world, in a place where co-creation and collaboration are embedded into the walls. You will find yourself in a speak-up environment where empathy and humanness serve as cornerstones for how we work, and where work-life balance is a priority. Welcome to an inclusive, global company where your opportunity to make an impact is endless.

For this position, we offer a balanced remote-presential work environment, and the position is based in our R&D branch in Málaga, Spain.
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