Data Scientist

BMO; Toronto; Híbrido; CAD 105.000 - 215.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health insurance

Tuition reimbursement

Retirement savings plan

Disability and life insurance

Descripción de la vacante

BMO is hiring a Data Scientist on a 12-month contract in Toronto. You will develop predictive models, apply ML/AI techniques to large data sets, and work with data and analytics teams to scale insights into actionable solutions.

The role emphasizes cloud-based modeling and collaboration with product partners to drive data-driven decisions and improved customer outcomes.

Formación

• 3+ years of relevant experience or certification in data science.
• Proficient in Python or SAS and SQL.
• Experience with big data tools and cloud-based modeling.

Responsabilidades

• Apply ML/AI techniques to mine large structured and unstructured data.
• Build predictive models and scalable data solutions.
• Collaborate with data teams to deploy analytics into production.
• Support data-driven decision making and business planning.

Conocimientos

Python

SAS

SQL

Big data

Herramientas

Hadoop

Spark

AWS SageMaker

AzureML

Descripción del empleo

Application Deadline:11/29/2026Address:33 Dundas Street WestJob Family Group:Data Analytics & ReportingThis is a hybrid role in TorontoWe 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.QualificationsTypically 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 SASProficiency 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 solutionsExperience developing customer discretionary pricing optimization models is an assetSalary :$105,000.00 - $215,000.00Pay Type:SalariedThe 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-RewardsAbout UsAt 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.