Fjord Energy Analytics is hiring a Senior Senior BI + ML Analyst — forecasting suite on the Analytics team (Hybrid · Oslo, Norway). This is a hands-on role in applied machine learning—not a generic “AI enthusiast” post.
You will own modeling, evaluation, and production ML delivery end to end: problem framing, offline evaluation, safe rollout, and iteration from production signals. Success is measured with clear metrics (quality, latency, cost, or business KPIs)—not slide decks alone.
Fjord Energy — Blend BI dashboards with ML forecasts for grid operators; tight collaboration with traders.
Oslo hybrid.
Fjord Energy Analytics needs someone who can move modeling, evaluation, and production ML delivery from experiment to production—with tests, monitoring, and stakeholder-ready communication.
The Analytics group partners closely with product and domain experts; you will translate ambiguous requirements into measurable ML or LLM outcomes.
What you will do
- Design and ship modeling, evaluation, and production ML delivery with offline evals, dashboards, and rollback plans.
- Improve datasets, labeling, and metrics that correlate with user or business outcomes.
- Review model changes for safety, bias, latency, and infrastructure cost before wide release.
- Document decisions so on-call, support, and compliance teams can act without guesswork.
- Join design reviews and pairing sessions with engineers and domain experts.
What we look for
- Demonstrated production use of core skills such as Python, SQL, TensorFlow, Snowflake—with repos, writeups, or metrics we can verify.
- Comfort operating the listed toolchain (Notion, dbt) in real environments—not tutorials only.
- Ownership of at least one feature or model from design through post-launch review—including failure modes you handled.
- Clear communication on trade-offs (quality, cost, latency, safety) with product and non-technical stakeholders.
- Eligible to work in Norway (or remote policy as stated in the listing).
Benefits & ways of working
- Stock options, pension, cabin trips.