We are ferritico, a Swedish software company disrupting the global steel industry. Based on more than 10 years of leading KTH research we are developing a machine learning tool provided to our customers as a SaaS. The ferritico service digitalizes the processes of developing, manufacturing and implementing steel, helping our customers to significantly cut time and costs.
We aggregate large sets of steel properties and process data and apply physical-based and machine learning models enabling our customers to predict and view correlations in data when optimizing materials, products and processes. Ferritico is currently providing the opportunity for an engineering student to do an Internship at Ferritico.
This internship constitutes a unique opportunity to join the Ferritico team in central Stockholm and to initiate a potential career in data and materials science where informatics, i.e. data and computational modelling is key. As a Data Scientist Intern you will support our data collection activities including identification of new data sources, data migration and digitalisation and data quality validation. You will document and work creatively to develop machine learning models and implement these together with the Ferritico team. Your work will foster the highly profitable shift towards data-driven work patterns within steel development and manufacturing and include:
Data collection, i.e. manually digitalize steel data available from images, diagrams etc. or implement technologies or tools, e.g. NLP, information retrieval and information extraction techniques and tools to automize the data collection
Define and implement data quality assurance metrics, methods and tools
Develop and deploy machine learning models
Test machine learning software prediction output and benchmark results against other simulation tools
Deploy models as micro services
Master student in Materials, Computer or Data Science or similar
Exceptional communication skills. Fluent in written and spoken English
Rigorous attention to detail and focus on timely high-quality deliverables
Experience with at least one programming language, preferably Python.
Experience from statistical modeling and machine learning using e.g. SciKit Learn
This job comes with several perks and benefits
Time is precious. Make it count. Morning person or night owl, this job is for you.
Get your caffeine fix to get you started and keep you going.
Social gatherings and games; hang out with your colleagues.
Easy access and treehugger friendly workplace.
We want to take you from good to great.
Are you a true Tech Savvy? Macbook, trackpad, you name it, we get you covered.