We are looking to grow our data science team in Oslo!
We need great people with experience in Python, machine learning and cloud to contribute to further development, solve complex problems and be part of building a great environment
As a Data Scientist you will have the opportunity to specialise within multiple areas based on your interest
You will be able to:
* Participate in project discussions to understand the problems and gather requirements, discuss solutions, contribute to methods, and technology choice
* Develop and implement solutions as part of a team
* Collaborate closely with colleagues and the business
* Work with state-of-the-art technologies and frameworks as well as exploring new technologies and areas of application for ML methods
Who are you?
We hope you are curious and excited by the opportunities created by technology, and that you share a passion for sustainable uses of AI
We would like you to bring an academic background in Science or Engineering (or equivalent years of experience) along with at least 4 years of professional experience in a data science/machine learning role
You should be proficient in Python, and have experience with some of the following: pandas, scikit learn, pytorch, tensorflow, keras
We hope you have a working knowledge or experience with ETL, data processing and data warehousing techniques, and a familiarity with data visualisation
You should be used to working as part of a team, have a familiarity with agile and cross-functional working, and articulate your ideas well
Why join us?
You will be part of an environment combining modern technology, a solid business understanding, and talented colleagues working together to deliver solutions which are innovative and sustainable
There are internal & external events you can participate in for professional development, and for social networking - with hobby groups, gaming groups, and lunches/dinners to tempt!
There are allocated budgets for taking certifications and attending industry events to keep your technical acumen up to date
To make a comfortable working environment there are modern office spaces, and a flexible approach to home/hybrid working
Core hour are between 09:00 - 15:00, with flexibility either side to suit your life outside of the office
Compensation is dependent on experience, and all employees receive enhanced pension, insurances, and budget for equipment
We have built a strong knowledge-sharing culture where colleagues of all levels contribute to idea generation and decision making, we hope that you enjoy keeping up to date on industry trends and can teach us something in return!
For any questions, contact Lucy on email@example.com