Fifty5Blue is a global leader in media measurement and analytics, operating in more than 80 countries.
We bring clarity to complexity. Our independent, hybrid cross-media audience measurement combines trusted audience panels with large-scale data to establish a single, coherent view across platforms and markets. This gives content owners, advertisers, agencies and platforms the clarity and confidence to develop content and plan advertising decisively.
With deep expertise across global media systems, we design integrated, comparable measurement frameworks that support a more consistent and accountable media market.
Job Title: Data Scientist
Location: Oslo, Norway
Employment Type: Permanent
Department: Product
#LI-Hybrid #LI-EH1
* This is a full-time permanent position, based in our Oslo office. We operate on a hybrid working arrangement and require a minimum of 2 days in the office. We welcome all applications from those with the legal right to live and work permanently in the Norway, without requiring VISA sponsorship now or in the future.
Overview:
The key area of focus for the role is the development and improvement of mathematical and statistical models demonstrating different data sets both at panel level and at census level. These will include Fifty5Blue's internally owned data and data from Fifty5Blue's global partners such as global advertisers, national and international broadcasters, and global online social media and publishing platforms. The major area of interest and development in the audience measurement space over the last few years involve the integration of multiple data sources, with a view of creating new and more complete hybrid datasets. These data sets combine TV and digital advertising platforms information and use the accuracy of panel-based data together with the breath and extension of census level information. The goal is to have individual-level information across advertising platforms and media, providing all the usual features such as demographic reach and frequency estimates for highly granular and accurate viewing insight, without the limitations of panel sizes.
Key Responsibilities
- Design and refine machine learning and statistical models to improve their performance and adaptability.
- Develop prototypes of statistical and machine learning models in Python, ensuring they integrate seamlessly into existing data pipelines.
- Work collaboratively with data scientists, product managers, project managers, and software engineers to align project goals and optimise product development.
- Write detailed requirement documents and practical guides to facilitate the engineering team in deploying models into production environments efficiently.
- Conduct thorough data investigations to ensure the quality and completeness of datasets and oversee quality control measures for modelling outcomes.
- Actively engage in team knowledge-sharing sessions and deliver presentations to discuss findings, insights, and methodologies across the team and broader organisation.
Skills and Knowledge Required
- Very strong mathematical and statistical skills, and with a passion for the development and implementation of new models.
- Programming and data analysis experience in Python
- Skilled in working with large and complex datasets with a keen eye for detail and accuracy.
- Experienced in working independently.
- An ability to demonstrate analysing data and looking for stories, patterns, trends, and insights.
- A PhD/master’s degree in a quantitative, mathematical, or scientific subject area.
- Alternatively, equivalent experience in a commercial and data science setting
Our offer
Our specialist expertise, pioneering technology and commitment to innovation provide the ideal environment for career growth.
Want to have a real-world impact? Help us deliver the trusted data that informs decisions in content and advertising across the world.
When you join us, you’ll gain the benefit of our global reach, advanced technical innovation and deep expertise. We’ll support you with training and career development opportunities. Become part of a community of passionate, dedicated professionals.
Why join Fifty5Blue?
We pride ourselves on understanding people, and what makes us think and act the way we do.
And because we know people, we like to make sure our own people are being looked after as well. Equality of opportunity for everyone is our highest priority and we support our colleagues to work in a way that supports their health and wellbeing. While we encourage teams to spend part of their working week in the office, we understand no one size fits all; our approach is flexible to ensure everybody feels included, accepted, and that we can win together. We’re dedicated to creating an inclusive culture and value the diversity of our people, clients, suppliers and communities, and we encourage applications from all backgrounds and sections of society. Even if you feel like you’re not an exact match, we’d love to receive your application and talk to you about this job or others at Fifty5Blue.
Privacy and Legal Statement
PRIVACY DISCLOSURE: Please note that by applying to this opportunity you consent to the personal data you provide to us to be processed and retained by Fifty5Blue. Your details will be kept on our Internal ATS (Applicant Tracking System) for as long as is necessary for the purposes of recruitment, which may include your details being shared with the hiring manager(s) and for consideration for potential future opportunities at Fifty5Blue. For full details of our privacy policy please visit https://www.fifty5blue.com/privacy-policies/fifty5blue-privacy-notice-for-candidates
Key Skills
Ranked by relevance
Related Jobs
3 roles aligned with this opportunity
Data Scientist (AI & Synthetic Intelligence)
2026-05-27
Data Scientist (AI & Synthetic Intelligence)
2026-05-23
Principal Data Scientist
2026-05-05
- Posted
- Jun 16, 2026
- Type
- Full-time
- Level
- Mid-Senior
- Location
- Oslo
- Company
- Fifty5Blue
Industries
Categories
Related Jobs
3 roles aligned with this opportunity
Data Scientist (AI & Synthetic Intelligence)
2026-05-27
Data Scientist (AI & Synthetic Intelligence)
2026-05-23
Principal Data Scientist
2026-05-05