Data Scientist - Subscription Data Enablement
Schibsted Media Products & Technology AB / Datajobb / Stockholm
2025-05-06
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Subscription Data Enablement is a team in Schibsted Media, Subscription - Growth. The team has a focus on building first-class commercial data capabilities, democratizing data & insight and building AI/ML models to create personalized commercial experiences for subscribers on all brands. With a focus on data-driven decision making, we want to drive engagement and increase loyalty within our customer base. You will be a part of a team that consists of Analysts, Data Engineers, and Data Scientists who are constantly driving value with data.
Your responsibilities :
- Use advanced analytics, statistics, and machine learning to extract insights from structured and unstructured data in order to understand commercial performance and subscriber loyalty
- Design, develop, and deploy machine learning models to address business challenges such as personalization, prediction, next best action and offer models and optimization
- Build and maintain end-to-end ML pipelines, including data preprocessing, feature engineering, model-training and evaluation
- Develop dashboards, reports, and visualizations to communicate key insights effectively, ensuring that data-driven storytelling supports decision-making across commercial teams.
- Collaborate with commercial teams in growth and customer base management to ensure that models and insights are used effectively for decision making and personalisation of customer the customer lifecycle
- Work in cross functional teams to deploy and optimize commercial AI models to improve commercial effects and automate processes related to digital sales and customer communication driving engagement and reducing churn
- Work with ML and data engineers to build scalable and efficient data pipelines for model training and data processing
What's in it for you
In return, Subscriptions can offer you a hybrid, informal, and extremely pleasant working environment in one of the most exciting and forward-looking companies in the Nordic region. You will be a part of one of the biggest data communities in Norway & Sweden, which values the importance of knowledge sharing and has a strong focus on personal development. As part of Schibsted Media, you will also receive competitive employee terms and benefits as well as good career opportunities within the Schibsted Group.
About Schibsted Media
Schibsted Media is one of the leading digital media companies in the Nordics. Our publications are renowned for their exceptional journalism, high editorial independence and strong digital development. Our brands, such as VG, Aftonbladet, Aftenposten, Bergens Tidende, Svenska Dagbladet, E24 and Omni keep people informed and updated on important issues in society. In addition we have several digital niche products like Podme, Wellobe, Vektklubb, Fri Flyt and Klart. In total, our brands have over 700 million monthly visits. News Media had a revenue of 7,8 bn NOK and 2,700 employees in 2024.
Subscription is a new business unit in Schibsted Media that holds the ownership of all development and commercial revenue connected to subscription business. This includes end to end responsibility for the subscription products, customer journeys, commercial personalisation and subscription platform development, in addition to responsibility for user revenue growth in Schibsted Media by ensuring capitalization of our end users. We operate in Norway, Sweden and Finland and work closely with Schibsted Media Technology and editorial teams.
Please apply for this position by sharing your application and CV with us.
Work location: Oslo or Stockholm (hybrid)
Who are we looking for?
We are looking for a Data Scientist who thrives on using data to drive decision-making, automation, and analytics. You enjoy uncovering insights, building reports, and telling compelling data stories that influence business strategy. In addition to working on customer analytics, you will contribute to our AI model foundation and infrastructure, helping to scale and operationalize AI solutions across our brands for personalisation and automation. If you're passionate about leveraging data to create impact and enjoy working in a collaborative, commercial-driven environment, we'd love to hear from you!
The role is an excellent match if the following describes you:
- Proficiency in Python, R, or similar languages for data analysis and ML
- Expertise in machine learning/AI frameworks, applied ML and advanced analytical techniques
- Strong SQL skills for querying, cleaning, and transforming large datasets in platforms like Snowflake
- Deep understanding of statistical methods, hypothesis testing, and experimental design
- Experience with analytics tools like Tableau/PowerBI and cloud ecosystems for data storage, model deployment, and orchestration
- Strong analytical and business acumen, coupled with problem-solving skills and a results-driven mindset.
Independent Journalism - That's our business
Schibsted Media Group includes some of the strongest media brands in the Nordics, including VG, Aftenposten, E24, Bergens Tidende, Stavanger Aftenblad, Aftonbladet, Svenska Dagbladet, Omni, and Podme.
Every day, nearly seven million people turn to our editorial media to stay informed, engaged, and entertained through text, audio, images, and video. The trust of our users is crucial to us. To maintain this trust, we prioritise truth, verifiability, and transparency.
Our 2,800 employees are based in Oslo, Bergen, Stavanger, Stockholm, Helsinki, Krakow, and Gdansk. We rely on all of them to succeed, through close collaboration across editorial teams, product and technology environments, and subscription and advertising units.
What began as Christian Schibsted's small printing business in Christiania (now Oslo) in 1839 has grown into one of the leading media companies in the Nordics. For nearly two centuries, our journalism has empowered people, built communities, exposed abuses of power, and strengthened democracies. Our democracies depend on independent journalism. That's our business.
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Arbetsgivare Schibsted Media Products & Technology AB (org.nr 559463-5061),
https://schibstedmedia.com/ Arbetsplats Schibsted
Jobbnummer 9321735