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:
-Collecting business requirements and process flows and documenting them in accordance with company guidelines
– Extraction of key information from the documents with a combination of Business Rules, Text Analytics, Programming and Machine Learning
– Participate in daily Stand Ups, where the successful candidate will need to effectively communicate updates and requirements for their responsibilities within the project
– Presenting progress and executing small demos
– Demonstrating high attention to detail when reviewing code
– Participate in an Agile Work Environment
– Assisting in the planning stages of this project and participating in building the Proof of Concept
– 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:
1st Interview with Hiring Manager – teammate (1 hour) – MS Teams Video Call
– Technical questions, project overview, talk about experience and get to know.
2nd Interview Hiring Manager (30 min) – MS Teams Video Call
– Behavioral questions, and evaluate cultural fit