A Tenth Revolution Group Company

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For Permanent in Oslo

Project Manager - Data & Analytics - Oslo

Norway, Oslo

  • Negotiable
  • Analyst Role
  • Skills: Analysis, Data, Advisor, Business, Python, data science, SQL, BI, business intelligence
  • Seniority: Senior

Job description



Businesses are searching for ways to make faster and more informed decisions - they want innovation and automation, and to work in smarter ways

You will be joining a competent team of advisers within data, and an equally strong technical delivery team to bring these solutions to life

With a particular focus on data & analytics, you will help customers gain access to quality information, and turn this into actionable insights which create value

The role can be flexible depending on your experience and professional goals:
  • Perhaps you come from a technical background, but want to progress into the business side and share your expertise with non-technical and technical stakeholders alike
  • Maybe you have a strong background in client facing roles or management, and a deep interest in how digital transformation can impact different domains
  • Or you want the best of both worlds! Offering advice, getting to work hands-on in projects, and ultimately delivering great solutions


Your role can involve
  • Collaborating with customers to define strategy and principles for how they can transform their business
  • Working in parallel with data engineers, scientists and analysts to make the optimal use of data
  • Identifying the hidden opportunities within organisations data, and bringing this potential to the forefront


We are looking for you to
  • Have a good understanding of the process to becoming data-driven
  • Ability to see the bigger picture, and communicate this effectively to internal and external teams
  • A genuine interest in technology and the desire to stay up to date on the latest trends
  • A strong academic background in a core subject
  • Relevant professional experience within data, digital transformation, consulting, or advisory services


Why work here?

You will be joining an excellent working culture where collaboration across teams & departments is actively encouraged to build a sense of community, and you can grow your skillset in new areas

There are social and professional activities you can choose to be involved in across the business - whether you are interested in sporting activities, gaming evenings, networking events, or lunches & dinners with your colleagues, there is something for everyone (or if you can't find something you enjoy - why not start your own initiative!)

There are active steps to look after employee satisfaction and well-being within the company, in practical terms this looks like flexible working hours to suit your lifestyle outside of work, and the ability to work from home when you choose. If you work a little extra in some periods, you will be be paid overtime for the hours you put in, and the opportunity to take additional time off

We hope that you can develop yourself professionally whilst here, with the chance to take certifications, courses, and in-house workshops to broaden your skillset

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

ML Engineer / Data Scientist - Oslo

Norway, Oslo

  • Negotiable
  • Analyst Role
  • Skills: data science, python, machine learning, tensorflow, keras, pyspark
  • Seniority: Senior

Job description



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 l.whiting@frankgroup.com