Bachelor´s/Master´s Thesis

1 month ago

Karlskrona, Sweden DYNAPAC SWEDEN Full time

Our offer

Project Overview

Today, we leverage basic analysis techniques to transform this data into actionable insights for our customers. This project aims to take that to the next level by enhancing data models and creating sophisticated algorithms that will improve machine performance insights across its lifecycle. In this project you will have the opportunity to work on a high-impact initiative that will challenge conventional digital twin concepts and deliver real value to both internal stakeholders and customers.

Key Responsibilities

Data Collection & Analysis: Familiarize yourself with the different data sources that exist today. Conduct exploratory data analysis to identify trends, gaps and opportunities.

Data Modeling: Develop and refine data models to predict key performance indicators over the complete lifecycle of the equipment. This may involve regression models, classification, or other machine learning techniques.

Collaboration: Work with cross-functional teams, including engineering and product management, to validate findings and ensure data models align with existing understanding of the machine lifecycle.

Visualization: Create data visualizations and a strategy to make insights easily accessible for internal and external stakeholders.

Innovation: Explore opportunities to enhance Dynapac's digital ecosystem by proposing innovative features or identifying efficiency gains based on your analysis.

About you

Required Skills and Qualifications

This project will require that you have proficiency in data analysis techniques, programming language(s) that support this analysis and ability to work with large datasets. In combination with these technical skills, it is important that you are an independent problem solver who has excellent communication skills with an ability to present complex data findings to stakeholders from different departments.

Career Development

Within this project you will gain experience working with large, diverse data sets in a typical industry setting. This will give you confidence and concrete experience as you approach the next steps of your data analysis focused career. Your contributions to Dynapac will contribute to key strategic initiatives inline with Dynapac's brand promise of being our customer's partner on the road ahead.

Contact Details
Taylor Sorgini, Team Leader Digitalization
email: taylor.sorgini@dynapac.com

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