CareerPlan
Solna, SwedenFull-time2026-11-06 → 2026-11-09
Hybrid

Core

Build and deploy machine learning and optimization models for dynamic pricing, demand forecasting, and revenue optimization in the airline industry.

Role type

Senior IC data scientist (revenue management & network optimization)

Builds

Production-ready ML models and optimization algorithms for revenue and network decisions

Domain

Aviation / Revenue Management / Machine Learning

Deliverable

production ML models

Required skills

Python, SQL, statistical modeling, supervised/unsupervised learning, optimization algorithms, cloud computing, MLOps

Preferred skills

Azure, reinforcement learning, deep learning architectures

Technologies

Python, SQL, Azure

Responsibilities

Design, train, and maintain models for revenue optimization; develop demand forecasting and purchase probability models; convert research into production-ready optimization solutions; design reproducible training and inference pipelines with CI/CD workflows; monitor models for drift and automate retraining.

Seniority

Senior, hands-on IC