Intern Data Scientist

Elena

"During my internship I learned from scratch Regular Expressions, Python and applied my knowledge in databases and data analysis in various projects. I worked in a very friendly and helpful environment, and this internship, due to the diversity of tasks, helped me to find my own path in the company."

Luis

"Besides learning new and revising existing technical skills , as a student, it was important for me to understand how's the workflow in a real company."

Pedro

"During my internship I learned more about working with data and scraping with python.I also learned to be more productive, efficient, thinking outside the box and interpersonal skills."

Leticia

"During my time interning Casafari I was exposed to all the different areas of knowledge at the company. We were always incentivized to ask questions and ask help and the whole team was always willing to help. I never thought I could learn so much just in such a short period of time."

Introduction:

Are you ready for a real challenge? CASAFARI is young but growing fast, which means you’ll get to help shape our future and revolutionise the real estate industry.

We’re looking for a passionate, proactive and pragmatic Intern Data Scientist to join our team of 20+ nationalities. You'll grow with us as we strive to fulfill our mission and vision: to bring transparency to the real estate market with the cleanest and most complete real estate database in the world.

Our end products are: a metasearch like Trivago or Skyscanner, a daily market data feed like Bloomberg Terminal, and we are currently building property market analytics with the most complete database updated in real time.

Requirements:

Ability to query with SQL
Understanding of CSS, HTML, regular expressions
The desire to learn and grow
Strong quantitative analytical skills

Nice to have:

Basic Python

What should be done:

Data mining and cleaning (proprietary data sets)
Data quality monitoring
Market analysis (in a team)
Enhancement of NLP

What we offer:

Mentorship
Great datasets
Fast growing products and business
Clear added business value
Full-time employment option
Upon full-time employment - employee stock option / equity
Achievement-based performance evaluation
Growth focused mindset

*Disclaimer:
Thank you for applying for this position. All candidates are important to us, but due to the high level of responses we receive, we only contact successful applicants. We wish you all the best in your search for a new position.

Intern Data Scientist

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