Postuler

Publié avant-hier

Data Scientist

@ Bank of Montreal

Toronto, Ontario

Temps plein3+ ans d’expérience
Postuler
SIGNAUX

En bref

Bank of Montreal is hiring a Data Scientist on a 12-month contract to support a key machine learning initiative. The role builds predictive models and big-data solutions, and analyzes structured and unstructured data to guide business decisions. The role is hybrid in Toronto, with a salary range of $105,000 to $215,000 a year.

Responsabilités :

  • Analyze large structured and unstructured datasets using machine learning and AI
  • Build predictive models and prediction systems
  • Recommend data-driven decisions to business leaders
  • Collaborate with product teams and partners on data strategy
  • Assess feasibility of AI/ML solutions for organization data

Résumé des exigences :

  • About 3+ years of relevant experience or equivalent education
  • Strong programming skills in Python or SAS
  • Proficiency in SQL and big data technologies (Hadoop, Spark)
  • Experience with cloud modeling environments is an asset
  • Experience automating data pipelines for scoring solutions

Outils et compétences

Avantages mentionnés

Assurance maladieAssurance vieRégime de retraiteAide aux études
Source et dates

Site carrière / système de candidatures · workday

Date publiée par l’employeur
2026-11-04
Première détection par notre source
2026-11-04
Mise à jour du dossier source
2026-11-05

Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.

Détails du poste

NiveauIntermédiaire
DomaineDonnées et analytique
Expérience3 an(s) et plus
Heures par semaine40 (estimé)
Déplacementsavion : aucun · route : aucun
Milieu de travailBureau
PositionSurtout assis
Exigences physiquesphysique faible · ordinateur élevé
LanguesEnglish
Avantages mentionnésRégime de retraite, Aide aux études, Prime de rendement

Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.

Bank of Montreal

Profil d’entreprise sauvegardé

Renseignements historiques provenant d’un profil The Jobs API sauvegardé (champs LinkedIn/Crunchbase). Ils ne sont pas vérifiés en temps réel; les chiffres peuvent avoir changé. Les valeurs manquantes restent inconnues.

Description complète de l’entreprise

We’re a bank, but there’s more to it than that. ​ When you join BMO, it opens a world of opportunities. This is a team that's committed to helping you succeed – personally and professionally. Because at BMO, when you grow, we grow. ​ You know your worth and so do we. That’s why we offer the right mix of learning programs, on-the-job experiences, and opportunities to build personal and professional connections – so you can build a meaningful career and thrive as a part of a winning culture.  ​ Sound like your kind of place? Then we should be co-workers.

Abonnés LinkedIn
529 147
Personnes associées sur LinkedIn
59 168
Bureaux déclarés
  • First Canadian Place, 100 King Street, Toronto, ON M5X 1A1, CA
  • 111 W Monroe St, Chicago, IL 60603, US
Catégories d’activité
  • Wealth Management
  • Finance
  • Banking
  • Financial Services
  • Crowdfunding
Autres noms enregistrés
  • Bank of Montreal
  • BMO
Spécialités
  • Personal Banking
  • Commercial Banking
  • Wealth Management
  • Capital Markets
  • and Asset Management
Le profil indique une agence de recrutement
Non
Investissement total déclaré
8 114 072 573

La devise et la date d’observation ne sont pas fournies; ce n’est ni une valorisation actuelle ni une ronde de financement.

We’re a bank, but there’s more to it than that. ​ When you join BMO, it opens a world of opportunities. This is a team that's committed to helping you succeed – personally and professionally. Because at BMO, when you grow, we grow. ​ You know your worth and so do we. That’s why we offer the right mix of learning programs, on-the-job experiences, and opportunities to build personal and professional connections – so…

ChampValeur
SecteurFinancial Services
Taille10,001+ employees
Siège socialToronto, ON
Type d’organisationPublic Company
SpécialitésPersonal BankingCommercial BankingWealth ManagementCapital Marketsand Asset Management
Offres sur Jobsy939
LinkedInVoir la page
Description

Application Deadline:

11/19/2026

Address:

33 Dundas Street West

Job Family Group:

Data Analytics & Reporting

This is a hybrid role in Toronto

We are seeking a data scientist to join our team on a 12-month contract to support key machine learning initiative.


Responsibilities: Uses advanced analytical algorithms and technologies (e.g. machine learning, deep learning, artificial intelligence) to mine and analyze large sets of structured and unstructured data to obtain insights. Designs and constructs new processes for modeling data. Develops predictive models and leverages big data technology to design solutions that deliver smarter business decisions, improve customer experience, and drive productivity. Collaborates with other data and analytics professionals and teams to optimize, refine and scale analysis into mature analytics solutions.

  • Plays an active role in the futuristic display of data, and advancement of innovative data strategies to understand consumer trends and address business problems.
  • Uses data mining and extracting usable data from valuable data sources to assess feasibility of AI/ML solutions for improved processing and usage of organization data.
  • Conducts large-scale analysis of information to discover patterns and trends by combining different modules and algorithms.
  • Uses analysis to provide recommendations and advice for business leaders to maintain to maintain market competitiveness.
  • Develops prediction systems and machine learning algorithms. Investigates additional technologies and tools for developing innovative data solutions for business stakeholders.
  • Collaborate together with the product team and partners to understand and provide data-driven decision making, business planning and future roadmap.
  • Operates at a group/enterprise-wide level and serves as a specialist resource to senior leaders and stakeholders.
  • Applies expertise and thinks creatively to address unique or ambiguous situations and to find solutions to problems that can be complex and non-routine.
  • Implements changes in response to shifting trends.
  • Broader work or accountabilities may be assigned as needed.
  • Take measured risks while protecting the bank by applying our Risk Management Framework in the execution of your role, in line with our Risk Culture and within our approved Risk Appetite, making sound and risk informed decisions that align to business strategy, protect assets, and adhere to applicable policy documents (Frameworks, Policies, Standards, Procedures and Supporting documents), laws and regulations.

Qualifications

  • Typically 3+ years of relevant experience and/or certification in related field of study or an equivalent combination of education and experience.
  • Strong programming skills in Python or SAS
  • Proficiency in both SQL and Big data technologies (Hadoop, Spark)
  • Experience working in cloud based modeling environment a plus (ie. AWS Sagemaker, AzureML, etc)
  • Experience in automation and scheduling of data pipeline for end-to-end scoring solutions
  • Experience developing customer discretionary pricing optimization models is an asset

Salary:

$105,000.00 - $215,000.00

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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