Ref: 160522_SDS_LRW

Senior Data Scientist - Oslo

Norway

  • Negotiable
  • Analyst Role
  • Skills: data science, python, machine learning
  • Level: Senior

Job description

Senior Data Scientist - Oslo

160522_SDS_LRW



We are looking for a Senior Data Scientist in Oslo!

Your work will help to digitalise the education industry, impacting everyone from school children locally in Norway, to University students around the globe

The company provide products which help children learn to code and take their first steps into formal education, to solutions which allow assessments to be submitted instantly from anywhere in the world - you will play a key role in transforming education through technology

You will be joining a small but established data environment, where you will report into a Head of Data, and work on interesting & challenging tasks

You will develop and apply ML methods, models, and advanced algorithms to improve the future of learning, bringing technological advances to a traditional industry

Working with large volumes of data from academic institutes and resources around the world, you will allow meaningful insights to be generated, and truly data-driven decisions to be made

We are looking for you to bring:
  • Higher education in a relevant subject (computer science, mathematics, or similar)
  • Proficiency in Python, and experience writing high quality, maintainable, testable code
  • Experience or familiarity with SQL, Apache Spark, and Cloud Platforms
  • Experience delivering end-to-end ML solutions


What's in it for you?

An opportunity to revolutionise an industry to improve sustainability!

We are transforming the future of education - with a focus on those who can benefit most from optimising their processes

You will be joining diverse and driven colleagues in a very collaborative environment where you can enjoy the autonomy to do what you do best, whilst seeing how your work directly impacts colleagues


Some of the benefits on offer include:
  • A fair and competitive salary based on experience, along with a company-wide bonus scheme
  • A hybrid approach and flexible working hours - whether you prefer to work early mornings and enjoy your evenings at home, or to have a lie-in and pick up work in the afternoon, there is no judgement from us!
  • Central office with easy access to public transport
  • Social gatherings - to get to know your colleagues on a personal as well as professional level


For any questions, contact Lucy on l.whiting@jeffersonfrank.com