20 meilleures offres (data scientist, kennedy park on) (à pourvoir)

Data Scientist
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DataAnnotation —Markham, ON
- De 50,00 $ à 140,56 $ de l’heure
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Clinical Data Scientist - AI Trainer
DataAnnotation —North York, ON
- De 50,00 $ à 140,56 $ de l’heure
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Kaseya Careers —Toronto, ON
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DataAnnotation —Greater Toronto Area, ON
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Sanofi EU —Toronto, ON
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il y a 12 jours
Lead Data Scientist
Sanofi EU —Toronto, ON
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Senior Data Scientist
Agilus by Synergie —Toronto, ON
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Senior Manager, Customer Resiliency Strategy and Analytics
Capital One - CA —Toronto, ON
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Principal Data Scientist (m/f/d)
AutoTrader.ca —Toronto, ON
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Senior Manager, AML Models and Analytics - Client Risk Rating
Scotiabank —Toronto, ON
- Espagnol
- Ingénierie
- Anglais
il y a 4 jours
AI Governance and Security Risk Manager
Allevar —Toronto, ON
- 85 $ de l’heure
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- Mentorat
- Intelligence artificielle
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il y a 7 jours
Data Science Analyst
Industrial and Commercial Bank of China (Canada) —Richmond Hill, ON
- Temporaire
- Oracle
- Informatique
- Service à la clientèle
- Assurance Invalidité
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Academic Researcher - AI Trainer
DataAnnotation —Concord, ON
- De 50,00 $ à 140,56 $ de l’heure
- Contrat
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- Doctorat
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- Heures d'arrivée et de départ flexibles
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Senior Data Analyst, Growth Analytics (CRM)
CookUnity —Toronto, ON
- De 100 000 $ à 120 000 $ par an
- Anglais
- SQL
- Compétences en communication
- Congés payés
Senior Data Scientist - Toronto (m/f/d)
autoTRADER.ca —Toronto, ON
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Data Scientist, AML/ATF - Global Compliance & AML
Scotiabank —Toronto, ON
- Espagnol
- Doctorat
- Maîtrise
il y a 3 jours
Data Scientist II
TD Bank —Markham, ON
- De 81 600 $ à 115 200 $ par an
- Temps plein
- Informatique
- SQL
- Baccalauréat
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Data Scientist

BMO Financial -
Toronto, ON

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Détails du poste

Contrat à durée déterminée
De 80 000 $ à 175 000 $ par an
Il y a 2 jours

Profil recherché

Scikit-learn
TensorFlow
CI/CD
Statistique
Analyse prédictive
Azure
Droit
Doctorat
Informatique
Analyse de la modélisation prédictive
PyTorch
Ingénierie
Mathématiques
Google Cloud Platform
Maîtrise
SQL
AWS
Apprentissage profond
Science des données
Keras
Intelligence artificielle
Évaluation de modèle
Compétences en communication

Description complète du poste

Application Deadline:

09/29/2026

Address:

33 Dundas Street West

Job Family Group:

Data Analytics & Reporting

This is a 12 month contract hybrid role in Toronto

We are seeking an experienced Machine Learning professional to design, build, and deploy scalable AI solutions and recommendation systems that serve millions of customers. The successful candidate will work across the full machine learning lifecycle, from data preparation and experimentation to production deployment and monitoring.

Key Responsibilities

Design, develop, and deploy machine learning and deep learning models at scale.
Build recommendation and personalization systems using large structured and unstructured datasets.
Develop and optimize data pipelines, feature engineering processes, and ML workflows.
Work with pre-trained models, embeddings, transfer learning, and model fine-tuning techniques.
Conduct experiments, evaluate model performance, and continuously improve model accuracy.
Collaborate with business and technology teams to translate business problems into AI solutions.

Technical Qualifications

5+ years of hands-on experience in Machine Learning, AI, or Data Science.
Strong programming skills in Python and SQL.
Experience with PyTorch, TensorFlow, Keras, Scikit-learn, and Hugging Face.
Strong knowledge of machine learning, deep learning, statistics, and model evaluation techniques.
Experience with recommendation systems, predictive modeling, and large-scale customer analytics.
Experience working with embeddings, vector search, and modern AI/LLM technologies is an asset.
Strong problem-solving, communication, and collaboration skills.

Preferred Qualifications

Experience developing ML models in cloud environments (AWS, Azure, or GCP).
Experience with CI/CD, MLOps, and production ML systems.
Graduate degree (Master's or PhD) in Computer Science, Engineering, Statistics, Mathematics, or a related field.

This role is ideal for someone passionate about building scalable AI solutions and delivering measurable business impact through machine learning and advanced analytics.

Salary:

$80,000.00 - $175,000.00

Pay Type:

Salaried

The above represents BMO Financial Group’s pay range and type.

Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

About Us

At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

To find out more visit us at https://jobs.bmo.com/ca/en.

BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

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Je souhaite recevoir la dernière alerte emploi pour les postes de ce type : data scientist (kennedy park on)

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