Machine Learning Engineer/Data Scientist
About Utel
Utel provides Network Monitoring & Analytics software to telecom operators.
Our software analyses the technical details of the telecom network in real-time, helping our customers understand their networks better. One of our major solutions focuses on detecting fraudulent phone calls using machine learning.
We are a team of enthusiastic individuals, blending experience and fresh talent to create a thriving culture and working environment. We deliver solutions to operators around the world, who depend on our expertise and the outstanding support we offer.
We want you to bring your creativity, skills, and innovations to help us. Utel is Based in Grimstad, Norway, just down the hill from campus.
For more information and examples of previous internships, please visit https://utel.tech/students
Founded in 1998, Utel is a subsidiary of Alytic, which is fully owned by Arendals Fossekompani, a green-tech industrial investment company with substantial financial capacity and decades of successful value creation.
Job description
We want you to develop our products alongside us, just as if you were onboarding as a new junior ML engineer or data scientist. You become a fully-fledged member of our development team, developing our products on our new platform.
Utel is developing a series of new machine learning tools ranging from automated setup for new customers to fraud detection models and we need your help in exploring the data sets our new models are generating. Can you help us discover new types of telecom fraud in unknown anomalies? Can you help enable our systems to fully map and understand our customers’ networks without any setup required? Can you help create the next ML model for detecting network anomalies? We have a variety of potential tasks we can tailor to your knowledge, skill level, and preferences in machine learning, analytics, and data engineering. Currently our ML focus is centered around anomaly detection and unsupervised learning, but we are continuously expanding the possibilities as our models and data sets grow.
The specific tasks can differ between choice of project, but in general you will:
Analyze raw and/or aggregated data to look for trends, anomalies, and other interesting findings, both manually and automated.
Learn about our models and approach to data mining and algorithms.
Join in on the entire development process of new models.
Research optimal algorithms and strategies for our use cases and products.
We expect you to:
Be physically present in the office, especially during core working hours 09:00 – 14:00.
Be curious and ask a lot of questions.
We hope an internship might lead to a master thesis and/or job prospects!
Qualifications:
You are curious and eager to learn about new technologies.
Have some experience in unsupervised learning and/or data analysis/exploration.
Some experience with Pandas or similar data frame tools and/or data visualization tools such as Plotly or Matplotlib is a plus.
Have some experience in using git.
Fluent and comfortable with communicating in both English and Norwegian
Utel Offers
Possibility to use applied ML on challenging real world data sets.
Possibility to help create ML products that help keep critical infrastructure fraud free, trustworthy and ensure its stability.
Inclusive and helpful colleagues.
Office location near the University. Good place to study!
Coffee and snacks.
Please include in your application which tasks that intrigue you in the and which areas of Machine Learning you have experience with or are eager to learn more about. A link to a GitHub account, code examples or reports from recent university tasks/projects are most welcome too, so we can match the tasks to your skill level better.