Data Scientist

Bank N.A.; Toronto; Hybrid; CAD 105,000 - 215,000; Full time

Benefits offered by this job

Health insurance

Tuition reimbursement

Retirement savings plan

Accident & life insurance

Job summary

BMO Financial Group in Toronto is seeking a data scientist to join our team on a 12-month contract, in a hybrid role that combines office collaboration with flexible work arrangements.

You will apply advanced analytics, build predictive models, leverage Hadoop/Spark and cloud platforms, and collaborate with product and analytics colleagues to drive smarter decisions and enhanced customer experiences.

Qualifications

• 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 SQL and Big data technologies (Hadoop, Spark).
• Experience in cloud-based modeling environments (AWS SageMaker, AzureML).
• Experience in automation and scheduling of data pipelines for end-to-end scoring solutions.
• Experience developing customer pricing optimization models is a plus.

Responsibilities

• Uses advanced analytical algorithms and technologies to mine and analyze large data sets to obtain insights.
• Designs and constructs new processes for modeling data.
• Develops predictive models and leverages big data technologies to design solutions.
• Collaborates with data and analytics teams to scale analysis into mature analytics solutions.
• Provides data-driven recommendations to business leaders to maintain market competitiveness.
• Explores new technologies and tools for innovative data solutions for stakeholders.

Skills

Python

SQL

Big data

SAS

Cloud platforms

Machine learning

Tools

Hadoop

Spark

AWS SageMaker

AzureML

Job description

Address

33 Dundas Street West

Job Family Group

Data Analytics & Reporting

Location and Role

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