Ontario Consultant, data & analytics new grad Jobs – 6428 Openings This Week

Data Science Consultant - AI Trainer
DataAnnotation —Hamilton, ON
- $50.00–$140.56 an hour
- Contract
- Remote
- Bilingual
- Doctoral degree
- Computer Science
- Flexible schedule
Quick apply
6d
Data Science Consultant - AI Trainer
DataAnnotation —Nepean, ON
- $50.00–$140.56 an hour
- Contract
- Remote
- Bilingual
- Doctoral degree
- Computer Science
- Flexible schedule
Quick apply
6d
SQL Data Analyst
ISG Search Inc —Toronto, ON
- $70,000–$80,000 a year
- Hybrid work
- Microsoft Excel
- Data analysis skills
- Finance
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Consultant, Data & Analytics - New Grad
BDO —Toronto, ON
- $60,000–$92,000 a year
- Full-time
- Azure
- Computer Science
- Engineering
- Paid time off
Senior Consultant, IT Analytics- Innovation: Data & Analytics
Deloitte —Toronto, ON
- $62,000–$106,000 a year
- Hybrid work
- Bilingual
- Spanish
- SQL
New Grad: Quality Assurance Engineering
CGI —Toronto, ON
- $50,000–$80,000 a year
- Hybrid work
- Azure
- Computer Science
- DevOps
Quick apply
9d
NEW GRAD Quality Assurance Analyst
CGI —Toronto, ON
- $50,000–$80,000 a year
- Hybrid work
- Computer Science
- Engineering
- Java
Quick apply
9d
Data Science Consultant - AI Trainer
DataAnnotation —North York, ON
- $50.00–$140.56 an hour
- Contract
- Remote
- Bilingual
- Doctoral degree
- Computer Science
- Flexible schedule
Quick apply
6d
Category Insights Analyst (Open to New Graduates)
Wonderbrands —Etobicoke, ON
- Microsoft Excel
- Engineering
- No experience needed
- Tuition reimbursement
NEW GRAD AI Developer
CGI —Toronto, ON
- $50,000–$80,000 a year
- Hybrid work
- Computer Science
- Engineering
- Databases
Quick apply
9d
Data Analytics Instructor (Part-Time)
Juno College of Technology —Toronto, ON
- $80 an hour
- Part-time
- SQL
- Communication skills
- Python
New Grad: Business Analyst
CGI —Toronto, ON
- $50,000–$80,000 a year
- Finance
- SQL
- Bachelor's
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9d
Data Analyst
CGI —Toronto, ON
- $65,000–$115,000 a year
- Full-time
- Hybrid work
- SQL
- Analysis skills
- Presentation skills
Quick apply
3d
Data Scientist - Data Analytics and Infrastructure
Ample Insight Inc. —Toronto, ON
- Full-time
- Remote
- Azure
- Doctoral degree
- Computer Science
Quick apply
Consultant, Analytics Data Engineer
CIBC —Toronto, ON
- Full-time
- Hybrid work
- Azure
- DevOps
- APIs
5d
New Grad: Software Developer
CGI —Toronto, ON
- $50,000–$80,000 a year
- Hybrid work
- Azure
- Computer Science
- DevOps
Quick apply
9d
Data Analyst
GitHub, Inc. —Ontario
- $83,900–$155,700 a year
- Remote
- Engineering
- Data analysis skills
- Finance
Senior Data Analytics Consultant
Limelight Software —Toronto, ON
- Full-time
- Computer Science
- ERP systems
- SQL
Quick apply
Junior Quality Assurance Automation Analyst
CGI —Toronto, ON
- $55,000–$105,000 a year
- Full-time
- Hybrid work
- Azure
- Computer Science
- Salesforce
Quick apply
NEW GRAD Full Stack Developer
CGI —Toronto, ON
- $50,000–$80,000 a year
- Hybrid work
- Computer Science
- DevOps
- Engineering
Quick apply
9d

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consultant, data & analytics new grad jobs near ontario

Data Science Consultant - AI Trainer

DataAnnotation -
Hamilton, ON

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Job details

Contract | Fixed term contract
$50.00–$140.56 an hour
6 days ago

Qualifications

Bilingual
Statistics
Doctoral degree
Computer Science
Writing skills
Engineering
Mathematics
English
Google Cloud Platform
Master's degree
AWS
Bachelor's

Full job description

DataAnnotation is committed to creating quality AI. Help train AI chatbots while gaining the flexibility of remote work and choosing your own schedule.

We are looking for an existing Data Science Consultant - AI Trainer to help train AI models. AI models are increasingly capable of performing complex analytical and scientific reasoning — but these systems still need practitioners with real-world quantitative experience to validate whether the outputs actually hold up in practice. That's where you come in.

You'll work closely with state-of-the-art AI models on tasks like evaluating AI-generated quantitative analysis, solving technical problems, and providing feedback that directly shapes how these systems reason about data, models, and scientific problems. Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills are directly applicable here. You can fit this work alongside a full-time role, or treat it as your primary focus, choosing projects and schedules that align with your availability and goals.

To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass, you'll receive an email confirmation, and paid work will become available on our platform.

Advantages of contracting with us:

Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.
Flexible schedule: choose which projects you take on and when you work, on your own computer, from the comfort of your own home.
Competitive pay: projects are paid hourly at $50 to $100 USD per hour, with bonus rates available on some projects.
Impact: help shape the future of AI systems built to reason about data and analytics.

Responsibilities:

Evaluate AI-generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.
Design and solve quantitative problems used to train and benchmark AI systems, spanning areas like forecasting, experimental analysis, optimization, and statistical inference.
Write clear technical explanations and well-documented analytical code.
Provide feedback that directly shapes the next generation of AI models built for quantitative reasoning.

Qualifications:

3+ years of hands-on experience in a quantitative role or research environment — such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or any adjacent field.
Some coding experience required, with comfort writing and reviewing analytical code end-to-end.
Practical experience with statistical methods, predictive modeling, and experiment design (e.g., A/B testing, hypothesis testing, regression, classification, time-series forecasting).
Fluency in English (native or bilingual level) with strong writing skills.
A bachelor's degree in a quantitative field preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); an advanced degree (Master’s or PhD) is a plus.
Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or equivalent demonstrated expertise).

Note: Payment is made via PayPal. We will never ask for any money from you. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand.

Quick apply

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