Toronto, On Statistical analyst Jobs – 73 Openings This Week

GenAI Developer
Recrute Action Inc. —Toronto, ON
- $45–$62 an hour
- Full-time
- Hybrid work
- Azure
- Computer Science
- Sales
- Work from home
Quick apply
23h
Research Analyst
Skilled Trades Ontario —Mississauga, ON
- $38.13–$48.35 an hour
- Full-time
- Research
- Databases
- Bachelor's
- Dental care
- Employee assistance program
4h
Azure Data Scientist (Databricks & Python)
Recutify Inc. —Brampton, ON
- Full-time
- Azure
- Computer Science
- DevOps
Quick apply
Senior Data Scientist
Massive Insights Inc. —Toronto, ON
- Contract
- Hybrid work
- Azure
- Doctoral degree
- Computer Science
Quick apply
Senior Manager, Data Science
Capital One —Toronto, ON
- Full-time
- Hybrid work
- Doctoral degree
- Data analysis skills
- Java
7d

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Research Analyst
Skilled Trades Ontario —Mississauga, ON
University degree in economics, public policy, social sciences, labour studies, or a. Research methodologies to research and obtain evidence-based research,…
$38.13–$48.35 an hour
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Market Research Analyst
Fidelity Investments —Toronto, ON
This role is responsible for analyzing, interpreting and communicating insightful market and/or competitive research in support of business development, thought…
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Senior Data Scientist
Massive Insights Inc. —Toronto, ON
Master's degree or PhD in Data Science, Statistics, Computer Science, or a related quantitative field. Lead initiatives in data exploration, cleaning, and pre-…
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GenAI Developer

Recrute Action Inc. -
Toronto, ON

Quick apply

Job details

Full-time | Fixed term contract
$45–$62 an hour
23 hours ago

Qualifications

Jira
Sales support
Power BI
Data modeling
Azure
Statistics
Law
Computer Science
Sales
Relational databases
Engineering
Mathematics
Git
Tableau
Taxonomy
Databases
Pandas
Bachelor's
Machine learning
Scripting
GitHub
Information processing
Metadata
Communication skills
Python

Full job description

GenAI Developer

High-impact role in the insurance sector focused on advanced data analysis and GenAI-driven sales enablement. Leverage Python, BI tools, and machine learning concepts to transform complex datasets into actionable insights, build performance dashboards, and support AI-powered solutions in a collaborative hybrid environment.

What is in it for you:

Salaried: $45-53 per hour.
Incorporated Business Rate: $54-62 per hour
7-month contract.
Full-time position: 37.50 hours per week.
Hybrid: 3 days/week in Toronto office.

Responsibilities:

Prepare, clean, and analyze datasets used for training, validating, and evaluating LLM-based or GenAI features.
Collaborate with product, sales, and business stakeholders to understand workflows, data requirements, and performance metrics.
Build dashboards and reporting assets to track adoption, performance, and business impact of sales enablement tools.
Support prompt evaluation, annotation, and quality assurance to ensure accuracy and reliability of AI-generated outputs.
Contribute to structured knowledge bases, taxonomies, and metadata supporting RAG-based systems.
Generate insights to optimize sales processes and improve advisor and end-user experiences.
Develop and implement analytics solutions aligned with business goals and deliver projects of moderate complexity.
Analyze complex datasets and connect multiple internal data sources.
Translate analytical findings into business recommendations for stakeholders and senior data scientists.
Document data sources, support structured processes, and enable continuous improvement tracking.
Engage subject matter experts and contribute to collaboration and knowledge sharing.
Provide guidance and feedback to junior analysts or data scientists when required.
Participate in daily project updates and communicate with business partners on requirements and timelines.
Propose and implement technical solutions aligned with business needs and deadlines.
Perform hands-on data preparation, analysis, and development tasks.
Prepare presentation materials to communicate proposed solutions.
Track tasks and progress using Jira.

What you will need to succeed:

Bachelor’s degree in Statistics, Mathematics, Computer Science, Engineering, or equivalent technical experience.
3 to 5 years of experience in a data analyst, data scientist, or related analytical role.
Experience in sales support or sales operations environments, with exposure to insurance industry workflows considered an asset.
Strong Python programming skills.
Proficiency with BI tools such as Power BI, Tableau, or similar platforms.
Knowledge of statistical methods and familiarity with machine learning techniques.
Experience working with large and complex datasets using structured analytical approaches.
Understanding of data modeling concepts, relational databases, and basic AI/ML toolkits.
Familiarity with GitHub and version control practices.
Knowledge of ML fundamentals including exploratory data analysis, feature engineering, and model testing.
Exposure to LLM concepts such as prompt engineering, context engineering, and guardrails.
Ability to translate complex technical concepts into clear business insights.
Strong problem-solving skills and ability to work autonomously.
Effective communication skills and ability to collaborate within a team environment.
Curiosity and willingness to learn GenAI workflows and evaluation techniques.

Why Recruit Action?

Recruit Action (agency permit: AP-2504511) provides recruitment services through quality support and a personalized approach. As part of the screening process, some applications may be reviewed using artificial intelligence tools. Only candidates who meet the hiring criteria will be contacted.

Pay: $45.00-$62.00 per hour

Benefits:

Work from home

Application question(s):

This role is hybrid in Toronto — are you comfortable working 3 days per week in-office?

Experience:

Python (pandas, data processing, scripting): 3 years (required)
ML basics (EDA, feature engineering, testing): 2 years (required)
LLM / GenAI (prompting, context, evaluation): 2 years (required)
Data analysis (complex, multi-source datasets): 3 years (required)
BI tools (Power BI, Tableau, dashboards and reporting): 2 years (required)
Git / GitHub (version control, collaboration): 2 years (required)
Azure / Databricks (cloud data and analytics environment): 1 year (preferred)
RAG pipelines (retrieval, vector databases, knowledge bases): 1 year (preferred)
MLOps (model deployment, monitoring, pipelines): 1 year (preferred)
Sales / CRM data (sales operations, advisor workflows): 1 year (preferred)
Insurance or financial services domain: 1 year (preferred)

Work Location: Hybrid remote in Toronto, ON M4W 1E6

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statistical analyst jobs in toronto, on

GenAI Developer

Research Analyst

Azure Data Scientist (Databricks & Python)

Senior Data Scientist

Senior Manager, Data Science

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