Teams at Schibsted

Develop and improve propensity, recommender, and offer-optimization models for a dynamic paywall. Design and analyze experiments, apply statistics and causal inference, and take models from development into production. Collaborate with data scientists, engineers, product, business, and editorial teams. Communicate findings through clear analysis and dashboards while improving modeling, tooling, and MLOps practices.

Manage Swedish corporate tax reporting, compliance, audits, and broader Nordic and international tax matters. Advise on transfer pricing, Pillar Two, Country-by-Country Reporting, VAT, M&A, reorganizations, and commercial initiatives. Partner with Finance, Legal, and business stakeholders, lead tax projects, and improve tax processes and controls through AI, automation, and digital tools.

Support and extend LLM gateway and model-serving infrastructure. Deploy, benchmark, and operate self-hosted models on Kubernetes across cloud and on-premises environments; improve routing, caching, guardrails, observability, cost attribution, and evaluation workflows. Support engineers, data scientists, and journalists by creating documentation, templates, and standards while contributing to emerging AI technologies and secure, reliable platform practices.