Alternance - Data Scientist en contrat d'apprentissage F/H

4 weeks ago


Old Toronto, Canada Nexus Systems Group Inc. Full time

Location Address: Toronto (Hybrid). 1 day per week in the office
Contract Duration: 1 year
Number of Positions: 1
Schedule Hours: 8:30am-5pm Monday-Friday (37.5 hours per week)
Reason to bring resources: Require dedicated resource to develop Mortgage Pre-funding automation activities.


Candidate Value Proposition:
The successful candidate will be exposed to several different teams offering them many developmental opportunities.


Typical Day in Role:

  1. Collecting business requirements and process flows and documenting them in accordance with company guidelines
  2. Extraction of key information from the documents with a combination of Business Rules, Text Analytics, Programming and Machine Learning
  3. Participate in daily Stand Ups, where the successful candidate will need to effectively communicate updates and requirements for their responsibilities within the project
  4. Presenting progress and executing small demos
  5. Demonstrating high attention to detail when reviewing code
  6. Participate in an Agile Work Environment
  7. Assisting in the planning stages of this project and participating in building the Proof of Concept
  8. Actively working to improve the current extraction capabilities of the system

Candidate Requirements/Must Have Skills:

  1. 5-8 Years of experience as a Data Scientist (Data analyst and Data Engineer)
  2. 3+ years’ experience with Python
  3. Previous experience working with Machine Learning software (GCP or Pytorch or transformers or other)

Nice-To-Have Skills:

  1. NLP (Natural Languages) an asset
  2. Experience GCP an asset

Soft Skills Required:

  • Excellent interpersonal, relationship-building, collaboration, and communication skills (written and verbal)
  • Demonstrates proactiveness when addressing issues
  • Excellent written, presentation, and verbal communication skills
  • Ability to work as part of a team, as well as work independently or with minimal direction.

Best VS. Average Candidate:
The best candidate would have experience with Machine Learning and have recent experience working on a project that dealt with automation.


Education & Certificates:
Post Secondary Education in a related field


Candidate review and selection:

  1. 1st Interview with Hiring Manager – teammate (1 hour) – MS Teams Video Call
    - Technical questions, project overview, talk about experience and get to know.
  2. 2nd Interview Hiring Manager (30 min) – MS Teams Video Call
    - Behavioral questions, and evaluate cultural fit
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