Data Science Intern for a Fintech Start-up Part 3

Closed
Ubineer
Toronto, Ontario, Canada
AK
CEO
(37)
4
Preferred learners
  • Canada
  • Academic experience
Categories
Data analysis Data modelling Financial modeling Investment Artificial intelligence
Skills
mathematics data pipelines parsing data science financial technology (fintech) natural language processing (nlp) hypertext markup language (html) extract transform load (etl) computer science machine learning
Project scope
What is the main goal for this project?

Number of positions available: 1

Our team is seeking one bright Data Science/ML/AI students who is passionate and creative about Natural Language Processing. We want this student to algorithmically capture information from unstructured text or table data. The student will be working closely with the CEO of the company. This is an incredible opportunity for any student that is seriously/looking to build their resume and portfolio.

A bit more detail on the project:

Background:

If you are in your second last or last year of your stats/math/engineering/ computer science or equivalent program. The student must show passion and interested in ML / Data science and is seeking a rare opportunity to learn from industry experts.

If you like the sound of our culture and are ready to tackle this incredible challenge with us, then we'd love to hear from you.

What tasks will learners need to complete to achieve the project goal?
  1. Algorithmically parse the correct text from an HTML file
  2. Algorithmically parse correct values from HTML tables
  3. Build functions as a service using 1 and 2 logic.
  4. If time permits create an efficient ETL data pipeline
How will you support learners in completing the project?

We are seeking to offer 10-15hrs of mentorship

About the company

Ubineer is a leading AI financial technology company focused on delivering productivity to financial decision makers. Our goal is to be the primary source for knowledge management, collaboration and insights in the investment industry. Our mission is to help financial decision makers optimize the quality and speed of their investment lifecycle.