Data Scientist Internship - Student Credit Only

ArchitectureQuote is a startup based in Copenhagen, Denmark which aims to disrupt the architecture industry through a modern and optimized approach. Its product is a deal-flow and collaboration platform designed for architects, which aims to help them find new projects by gathering leads from many different sources that are publicly available. From another perspective, ArchitectureQuote aims to make it easier for people who need architectural services to find the right architects.

ArchitectureQuote is looking for a passionate data scientist with experience in data mining, analysis, and building predictive models to help with the development of our product.

KEY RESPONSIBILITIES:

• Hands-on development of predictive natural language processing models
• Scraping websites and data mining
• Cleaning and restructuring of data
• Managing large amounts of data
• Creating visualizations
• Working closely with our backend developers
• Thorough testing of your work
• Prototyping ideas in order to learn what works and how to elevate concepts to the next level
• Effective communication with fellow team members and management

WHAT WE ARE LOOKING FOR:

• Knowledge of data science processes and methods
• Strong proficiency in Python, R, or other programming language used in data science
• Experience with frameworks like Tensorflow or Pytorch 
• Experience with data mining and scraping
• Understanding of statistics and machine learning algorithms
• Familiarity with Git, Jira, Redmine, or similar project management and issue tracking software
• Ability to work in a fast-paced working environment, owning deadlines and striving for efficiency
• Eagerness to learn new things
• Passion for data science

WHAT WE OFFER:

• Joining a dynamic team of an early stage startup
• Getting experience working on a real product
• Opportunities to learn and develop your skills and career
• Possibility of remote work
• Access to startups and founders within the Danish startup scene
• Being among the earliest employees of a growing SaaS platform

Please apply via this job posting and include your CV, links to previous projects, and your potential start date.

Please write in your application that you've seen the job at Jobfinder.