Ericsson Internship 2025 Hiring Details:
About Company:
Telefonaktiebolaget LM Ericsson, commonly known as Ericsson, is a Swedish multinational networking and telecommunications company headquartered in Stockholm, Sweden
Job Profile: Data Scientist – Intern
Degree Required: B.E/B.Tech
Experience Required: Freshers
CTC: Best in Industry
Work Location: Chennai
About this opportunity:
We are seeking a versatile Data Scientist to join our dynamic team at Ericsson. You will play a pivotal role in harnessing machine learning solutions to solve complex business problems. Predicated on scientific methods, process-driven systems, you will be the driving force behind Ericsson’s applied analytics. You will be expected to understand classical and advanced machine learning concepts and apply this knowledge practically to fulfil customer requirements.
What you will do:
- Participate in mapping requirements to implementation – Analysing, coordinating, prioritizing, and optimizing requirements. Ensuring implementation even with constraints.
- Work with data and develop predictive models, recommendation engines, anomaly detection systems, statistical models, deep learning models, and other machine learning systems
- Good understanding of machine learning concepts and programming languages like Python, Pyspark, SQL etc. based on latest market trends
- Ability to work within constraints and timelines and follow the delivery standards and processes defined within Ericsson
- Good understanding and implementation knowhow of on-premise and well as on-cloud machine learning solutions
The skills you bring:
- – Business Understanding.
- – Artificial Intelligence Systems.
- – Software Engineering.
- – Data Management.
- – Ericsson Business Intelligence and Analytics Competence.
- – Open-Source Programming Languages.
- – Data Preprocessing.
- – Statistics.
- – Cloud Development.
- – Machine Learning Algorithms.
Apply Before the link Expires for Ericsson Internship 2025 Hiring.
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Note: Shortlisted candidates will receive an email/call for the further interview process.