Coopérative de Data Scientist
About The Position
We are seeking a Data Science Intern to join our dynamic team at Ericsson. In this internship, you will support the development and application of machine learning solutions to help solve complex business problems. Working with experienced Data Scientists and Analytic Designers, you will learn how to apply scientific methods and process-driven systems to real-world use cases and contribute to Ericsson's applied analytics. You will gain exposure to both classical and advanced machine learning concepts and learn how to apply this knowledge in practice to fulfil customer and stakeholder requirements. Our analytics teams are located in Hungary and India, and you will be part of the BCSS CNE SPS C&A PMO organization—a team of 11 people responsible for Project Management, Analytics, and Configuration Management across the organization. This role is ideal for a current student looking to build hands-on experience in data science within a global technology company while maintaining their enrollment status.
Requirements
- Currently enrolled in a Bachelor's, Master's, or PhD program in Data Analytics, Computer Science, Engineering, Business Analytics, or a related field (must maintain student status for the duration of the internship).
- Academic or practical experience with: SQL and relational databases, Python scripting, Power BI (or similar BI/visualization tools)
- Foundational knowledge of AI/ML concepts, automation, or data-driven decision support (e.g., coursework, projects, or online certifications).
- Strong analytical mindset, curiosity, and a demonstrated willingness to learn new tools and techniques.
- Good communication and teamwork skills, with the ability to collaborate in a multicultural, distributed team environment.
- Ability to work in a structured, process-oriented way, paying attention to detail and documentation.
- Bilingual French and English is required for this position.
Nice To Haves
- Familiarity or interest in learning: AWS CLI or similar cloud CLIs, APIs, automation frameworks, or AI-related tools
Responsibilities
- Support the design and development of operational dashboards for R&D stakeholders, under the guidance of senior team members.
- Assist in translating analytics strategy into solution designs and architecture guidelines, contributing to design discussions and documentation.
- Help create analytics solutions aligned with stakeholder needs by preparing datasets, building prototypes, and documenting approaches.
- Collaborate with other analytics and engineering teams to understand existing solutions and promote reuse of components and best practices.
- Learn to apply AI/ML concepts and automation to enhance analytics solutions, including model development, evaluation, and basic deployment steps.
- Assist in the development and documentation of dashboards, reports, databases, and interfaces using tools such as SQL, Python, and Power BI.
- Participate in unit testing, support acceptance testing, and help troubleshoot and resolve defects with support from mentors.
- Provide operational support such as data loading, job scheduling, monitoring, and basic troubleshooting of data pipelines and dashboards.
Benefits
- Competitive package to help with your individual needs and goals.
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What This Job Offers
Career Level
Intern
