We are looking for a student at the Master’s level studying Industrial Economy, Technical Physics, Data Science, Advanced Analytics, AI & Machine Learning or similar. Good written and spoken communication skills in English are required, Swedish is a plus.
Depending on the thesis topic, we are looking for candidates with experience in areas such as data modelling and basic BI tools (Power BI or similar), databases/SQL, machine learning/data analysis, basic programming in Python to build simple analyses, prototypes, experience in Computer Vision/Deep Learning such as CNNs, detection and segmentation, as well as practical experience with OpenCV and preferably YOLO or similar detection models, is also relevant. Knowledge of statistics, experimental design, and causal relationships is considered beneficial.
Your personal qualities are essential for this role. We are looking for someone who is curious, analytical and structured, with a strong quality mindset and the ability to turn complex problems into testable hypotheses. You enjoy working close to the business, translating data and insights into decisions, priorities and practical solutions. You are communicative and collaborative, and comfortable engaging with different stakeholders to understand needs, define requirements and align on goals and KPIs. You take a proactive and hands-on approach, enjoy testing ideas quickly, building simple prototypes and iterating based on learnings. As the work may involve data quality, labelling, integration and troubleshooting, you are patient, detail-oriented and persistent. A safety-conscious mindset and an interest in creating robust, reliable solutions are also important.