Data scientist jobs in Toronto, ON and nearby

Within 25 km

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Added 27 days ago
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Senior Data Architect
Miratech
Toronto, ON
- Full-time
Working Model: This is a hybrid role requiring 2 days per week in a downtown Toronto office
Added 27 days ago
S1
Full-Stack Machine Learning Engineer
Signal 1
Toronto, ON
- Full-time
…that can ensure solutions are performing as expected and make data-driven decisions on where to invest. Purpose-built for healthcare and informed by experience managing AI at scale, Signal…
Added 27 days ago
FS
Data Architect
Financial Services Regulatory Authority of Ontario (FSRA)
Toronto, ON
- Full-time
To design, implement, and manage data architecture solutions ensuring data quality, accessibility, and security in support of the strategic business goals of the organization. To translate…
Added 27 days ago
M
Lead Data Scientist
Mastercard
Toronto, ON
- Full-time
We are seeking a highly skilled and motivated Lead Data Scientist to join our Cyber Analytics team within the Security Solutions Data Science organization. The successful candidate will…
Added 27 days ago
FS
Data Architect
Financial Services Regulatory Authority (FSRA)
Toronto, ON
- Full-time
To design, implement, and manage data architecture solutions ensuring data quality, accessibility, and security in support of the strategic business goals of the organization. To translate…
Added 27 days ago
RA
Data Scientist – GenAI & Machine Learning
Recruit Action inc.
Toronto, ON
- $45 to $60 CAD / hour
- Contract
Bring your passion for data, machine learning, and GenAI to the insurance sector for our client. Support the development of practical, innovative solutions while contributing to advanced…
Added 27 days ago
TT
Senior Data Modeler
Tundra Technical Solutions
Richmond Hill, ON
- $70 to $80 CAD / hour
- Contract
ROLE: Senior Data Modeler – 6 Months Contract
Added 27 days ago
NF
Senior Data Scientist
Northbridge Financial Corporation
Toronto, ON
- Full-time
We have a flexible hybrid model that allows you to work from home up to 2 days per week, with added flexibility for when you really need it
Added 27 days ago
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Lead Data Modeler / Data Modeling Architect – Capital Management
Kelly
Toronto, ON
- Contract
This is a senior, architecture-focused position responsible for defining the logical data models that will underpin the bank's capital management and measurement capabilities.
Added 27 days ago
C
Lead AI/ML Data Scientist - VP
Citi
Mississauga, ON
- Full-time
Citi is looking for a Lead AI/ML Data Scientist to join the Olympus Data Reconciliation and Engineering team, where you will shape the next generation of AI and machine learning…
Added 27 days ago
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Machine Learning Engineer
Pinnacle
Toronto, ON
- Full-time
…probabilistic graphical models, and a deep understanding of data analysis and visualization. Proficiency in R is strongly preferred, as is a demonstrated ability to work with large…
Added 27 days ago
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Data Scientist III
TD
Toronto, ON
- Full-time
Data Scientist III - Business Banking Analytics, Insights & Artificial Intelligence (AI2)
Added 27 days ago
PX
Consultant, Data Scientist
Project X
Toronto, ON
- Full-time
3-5 years of hands-on experience as a Data Scientist
Added 27 days ago
IF
Senior Data Scientist
Intact FC
Toronto, ON
- Full-time
We’re looking for a Senior Data Scientist to join our growing team!
Added 27 days ago
RB
Data Scientist, Global AML Transaction Monitoring
Royal Bank of Canada
Toronto, ON
- Full-time
As Data Scientist, Transaction Monitoring, you will develop and maintain an efficient and effective AML/ATF Transaction Monitoring program that considers regulatory expectations, industry…
Added 27 days ago
RB
Associate Director - Lead Data Modeler/Analyst
Royal Bank of Canada
Toronto, ON
- Full-time
The Trading & Execution Services (TES) Data Services team within Capital Markets Technology has elevated data to first-class citizen status, providing strategic solutions for the capture,…
Added 27 days ago
TC
Big Data Developer
TechNeptune Consulting Inc.
Mississauga, ON
- Full-time
We are looking for an experienced Big Data Engineer with strong expertise in PySpark and Python to design, develop, and optimize scalable data processing solutions. The ideal candidate will…
Added 27 days ago
C
Big Data Developer
Cognizant
Toronto, ON
- $53,000 to $108,000 CAD / year
- Full-time
Based on this role's business requirements, this is a hybrid position requiring 4 days per week onsite in Toronto, Ontario
Added 27 days ago
CS
Data Modeler – Cloud/Azure
Confiar Services
Toronto, ON
- Contract
We are looking for an experienced Data Modeler to support cloud and data modernization initiatives. The ideal candidate will have strong hands-on experience in data modeling, SQL, Azure…
Added 27 days ago
PG
Big data Engineer
Pacer Group
Mississauga, ON
- Full-time
8+ years of exp. in developing and maintaining scalable data pipelines using PySpark and Spark SQL for processing large datasets efficiently.
Added 27 days ago
R
Data Scientist, Global AML Transaction Monitoring
RBC
Toronto, ON
- Full-time
As Data Scientist, Transaction Monitoring, you will develop and maintain an efficient and effective AML/ATF Transaction Monitoring program that considers regulatory expectations, industry…
Added 27 days ago
R
Associate Director - Lead Data Modeler/Analyst
RBC
Toronto, ON
- Full-time
The Trading & Execution Services (TES) Data Services team within Capital Markets Technology has elevated data to first-class citizen status, providing strategic solutions for the capture,…
Added 27 days ago
SL
Senior Data Scientist
Sun Life
Toronto, ON
- Full-time
Reporting to the Director, Data Science, as a Senior Data Scientist you will focus on supporting Canadian business units in accelerating the growth and application of advanced analytics in…
Added 27 days ago
CS
Data Modeler
Confiar Services
Toronto, ON
- Contract
We are seeking an experienced Data Modeler with strong SQL, data analysis, data modeling, and banking domain knowledge. The ideal candidate should have hands-on experience in KYC, sanctions…
Added 27 days ago
R
Data Scientist III
Raise
Toronto, ON
- Full-time
We at Raise are hiring a Data Scientist III for one of our top clients. After establishing themselves as an industry leader, they’re now expanding their team to meet rising demand. We’re…

Xanadu

Senior Data Scientist - Decision Intelligence

Toronto, ON, Canada

The base salary range is 140,000 - 190,000 CAD. · Full-time

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Job details

Pay: The base salary range is 140,000 - 190,000 CAD.
Job type: Full-time
Apply by: Nov 12, 2026
Posting language: English
Posted: Oct 13, 2026

Original job description

About Xanadu:

Xanadu’s mission is to build quantum computers that are useful and available to people everywhere.

At Xanadu, we are learners, innovators, researchers, collaborators and problem solvers. We are creating something that has never been built before. What we are doing is extremely hard, the classic moon shot. Few people in their life will be able to be a part of something like this, where if we are successful, the technologies we develop will solve some of the world’s most challenging problems and literally change the world. And that is something to be excited about!

Your role and responsibilities:

As a Senior Data Scientist, you will lead the design and development of a unified decision intelligence product that fuses data from across Xanadu's R&D efforts – fabrication, device characterization, chip design, system architecture, and software developments – into actionable insights for engineers and leadership. You will leverage AI and modern ML techniques as primary tools for pattern discovery, anomaly detection, and insight generation across complex, unstructured, and high-dimensional datasets. This is not a traditional DS role – you will build intelligent, AI-driven analytical experiences that scale with the complexity of our data and accelerate decision-making across the organization. Specifically, you will:

Own the product vision and roadmap for a cross-domain insights platform spanning research and operations.
Apply AI/ML methods – including large language models, representation learning, and generative approaches – to surface patterns, correlations, and anomalies across heterogeneous hardware data.
Design intelligent discovery experiences that go beyond static reporting and traditional BI dashboards – enabling engineers and decision-makers to interrogate data naturally and uncover non-obvious relationships.
Fuse heterogeneous data sources into unified analytical views.
Define analytical requirements and success metrics that shape how data pipelines are built and how the platform evolves.
Provide technical direction to data engineers and data analysis specialists, ensuring coherent alignment toward the product vision.
Drive adoption by deeply understanding user workflows, iterating on feedback, and shipping incrementally.

Basic qualifications and experience:

BSc. in Physics, Mathematics, Computer Science, Data Science, AI, Machine Learning or a related quantitative field.
7+ years of experience in data science or applied ML, with demonstrated ownership of data-driven products (not just analyses – you've shipped tools and platforms that people rely on daily).
Proven ability to unify heterogeneous data sources – you've built systems that integrate multiple databases, schemas, and data formats into coherent analytical products.
Product mindset – you think in user problems, adoption loops, and iterative delivery.
Deep comfort with noisy, real-world experimental data – you understand measurement uncertainty, systematic vs. random variability, and the gap between models and reality.
Strong foundations in statistical modeling and machine learning – Bayesian inference, hierarchical models, time-series analysis, dimensionality reduction, anomaly detection.
Production-quality Python, SQL, Spark, or other DS stack. Experience building AI-driven analytical tools and integrating ML models into user-facing products.
Excellent communication – you can present to both PhDs and VPs, translating between technical depth and strategic clarity.
Experience mentoring or technically leading junior data scientists or analysts.

Preferred qualifications and experience:

MSc/PhD in Physics, Applied Mathematics, Computer Science, Data Science, or a related quantitative field.
Experience in hardware, semiconductor, photonics, electrical engineering, or advanced manufacturing environments.
Experience with knowledge graphs, semantic data layers, or cross-referencing across complex data ontologies.
Experience with signal processing, control theory, deep learning, active learning, and optimization.
Exposure to simulation workflows (electromagnetic, circuit-level, or system-level) and their data outputs.
Experience with cloud infrastructure (AWS preferred) and data pipeline orchestration.
Experience applying LLMs, retrieval-augmented generation (RAG), or AI agents to data analysis workflows.
Familiarity with quantum computing or photonic integrated circuits.

This is for a new position. The base salary range is 140,000 - 190,000 CAD. Your base salary will be determined based on your location, experience, and internal benchmarks. You will also be eligible for equity and benefits.

Our values are important. They are fundamental and lay the foundation for culture at Xanadu. Learn more about our values here.

We are an equal opportunity employer and encourage candidates of all backgrounds to apply. We are committed to building an inclusive, safe, and equitable culture and fostering an environment where our employees feel included, valued, and heard. We are committed to meeting the needs of all individuals and support a barrier-free workplace. Should you require accommodations at any point during the recruitment process please contact Recruiting at recruiting@xanadu.ai.

Please be advised that we may use artificial intelligence (AI) tools to assist in the screening and assessment of applicants for this position. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Apply on LinkedIn About employer

More about this job

Responsibilities

Lead the vision and development of a cross-domain decision intelligence platform that integrates data from Xanadu’s research and operations. Apply AI and machine learning to uncover patterns, correlations, and anomalies, while guiding technical contributors and iterating on the product based on user feedback.

Requirements

Requires a bachelor’s degree in a quantitative field and at least seven years of data science or applied machine learning experience, including ownership of production data products and integration of heterogeneous data sources. Candidates should have strong statistical and machine learning foundations, production-quality programming skills, experience building AI-driven analytical tools, and the ability to communicate effectively and mentor or lead junior colleagues.

Skills

Data Science
Applied Machine Learning
Product Ownership
Data Integration
Statistical Modeling
Bayesian Inference
Hierarchical Models
Time-Series Analysis
Dimensionality Reduction
Anomaly Detection
Python
SQL
Spark
Large Language Models
Representation Learning
Generative AI

Benefits

Equity
Benefits

Visa sponsorship

Not detected in the job text

Keywords

Decision Intelligence
Data Science
Applied Machine Learning
Large Language Models
Representation Learning
Generative AI
Anomaly Detection
Pattern Discovery
Bayesian Inference
Hierarchical Models
Time-Series Analysis
Dimensionality Reduction
Python
SQL
Spark
Data Pipelines
Knowledge Graphs
Semantic Data Layers
Signal Processing
Control Theory
Deep Learning
Active Learning
Optimization
Retrieval-Augmented Generation
AI Agents
Cloud Infrastructure
AWS
Semiconductor
Photonic Integrated Circuits

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