As the tech firm that created the mobile world, and with more than 54,000 patents to our name, we’ve made it our business to make a mark. When joining our team at Ericsson you are empowered to learn, lead, and perform at your best, shaping the future of technology. This is a place where you're welcomed as your own perfectly unique self, and celebrated for the skills, talent, and perspective you bring to the team. Are you in?

Come, and be where it begins.

About this opportunity

We are now looking for a Data Scientist intern for ML/AI to develop and maintain components that deliver Telecom Insights on top of Ericsson Expert Analytics (EEA) portfolio!

EEA is a powerful tool offered to telecom operators producing customer insights in real time. Backed by specialized metrics for predicting customer happiness, EEA provides the kind of deep understanding of customer behavior that allows service providers to proactively improve experience, satisfaction.

Link: https://www.ericsson.com/en/network-automation/telecom-analytics

We are expanding our Budapest EEA development and support organization. We work in small teams that use Agile methodology to keep up in a fast-paced business environment, we closely cooperate with Ericsson Research, customer units and service delivery organization. Our product platform combines cloud-based solutions with Big Data methodologies with our outstanding complex event processing to build a state-of-the-art analytics and decision management system.

What you will do

Work with / as a Data Scientists on use cases
Automate and scale model training, inference, and evaluation
Collaborate with various teams, such as Data Scientist team, DevOps teams, BI team, and business stakeholders
Get familiar with the data structure – this requires continuous knowledge transfer from our telecommunications experts, so you’ll get familiar with the telco domain as well
Help Work with real big data processing pipelines, prepare data for predictive and prescriptive modeling
Help us conducting different analytical tasks to better understand the fundamental relationships behind our datasets, improving the quality of our modeling activity
Help us finding approaches that are capable of handling large volumes of data (terabytes)
Work together with telco experts to come up with machine learning and statistical models to solve network monitoring/optimization and marketing related tasks
Learn working with parallel algorithms
Take part in brainstorming sessions where the aim is to find use-cases that are both valuable to customers and feasible as well
Learn how to create proof-of-concept models and how to develop and integrate them into production level codebases
And most importantly: you will have to read and learn a lot, both from our data scientists and from books/articles/blog posts
Work on own patents and inventions

You will bring or you are willing to learn

Degree in Computer Science, Information Technology or Systems
Previous experience with data in manufacturing/operations environment would be a plus
Knowledge of Docker and Kubernetes
data engineering or machine learning engineer background
Industry experience with Scala, Python, SQL
Experience with Code and Data versioning: we use GitHub and DVC
Experience with MLOps with focus on all steps of ML project lifecycle e.g., Data Preparation, Modeling, Deployment, Monitoring
Experience in designing, implementing, and maintaining data pipelines in Event-driven, microservices-based distributed landscape
Experience of various database and storage technology such as Vertica, S3 MinIO, PostgresSQL, HBase
Experience with methodologies such as continuous integration and continuous delivery.
Experience with code refactoring, design patterns, design-driven development, continuous deployment, highly scalable applications, application security.

It's a huge plus if you have

Industry experience in building and productizing end-to-end analytics system of Machine Learning and Data Scientist projects
Good knowledge of any distributed computing tools such as PySpark, Dask, Ray
Expereince in working with AWS, Azure or GCP cloud provider (certifications are a huge plus)
MLOps experience in terms of model monitoring, data drift detection, re-training implementation, model roll-back, for machine learning solutions
Experience with Big Data technologies, stream processing (e.g.: Hadoop, Kafka)
Experience with reporting BI tools (e.g. Spotfire, Tableau)
Ability and willingness to quickly adopt new technologies and/or business domains
Experience in Telecommunication Industry

We offer you

A supportive multinational environment, where we believe in teamwork
Great challenges that will give you the opportunity for continuous learning and advancement in your technical career
To work with a talented group of Data Scientists, DevOps teams and BI developers, who will help to develop new ideas and solve complex problems of the network
To work on big projects that will go into production, so you will not work for your desk drawer
In our view for the continued sharpness of mind, regular brain exercise is required. To ensure this opportunity is provided across the board, trainings and conferences are encouraged and supported.

Why join Ericsson?

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.

What happens once you apply?

Click Here to find all you need to know about what our typical hiring process looks like.

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.

#LI-Hybrid

For more information on our presence and activities in Hungary, please visit Areas in Ericsson Hungary. 

Ericsson is proud to be an Equal Opportunity and Affirmative Action employer, learn more.

Primary country and city: Hungary (HU) || Hungary : Budapest : Budapest

Job details: Developer

Data Scientist Intern - EEA jobs

Data Scientist Intern - EEA