Data Scientist

BMO; Toronto; On-site; CAD 105,000 - 215,000; Full time

Benefits offered by this job

Health insurance

Tuition reimbursement

Retirement savings plans

Job summary

BMO Financial Group is seeking a senior data scientist to design and deploy predictive models using advanced analytics across large structured and unstructured data sets. You will collaborate with cross-functional teams to scale analytics, deliver insights, and drive smarter business decisions, customer experience improvements, and productivity.

The role requires expertise in machine learning, deep learning, statistics, and data visualization, with a track record of translating analysis into

Qualifications

• Advanced level of proficiency in mathematics, statistics and operations research.
• Deep learning and machine learning expertise required.
• Focus on trust, bias and ethics in analysis.
• Strong verbal and written communication skills.
• Ability to influence, collaborate and work across groups.

Responsibilities

• Mine and analyze large data sets to obtain insights for smarter decisions.
• Design and build data models and predictive algorithms.
• Collaborate with product teams to enable data-driven decisions.
• Apply data visualization to communicate findings to stakeholders.
• Develop and refine analytics solutions at enterprise scale.

Skills

Mathematics, statistics & operations

Deep learning

Machine learning

Trust, bias and ethics

Creative thinking

Critical thinking

Big data

Data visualization

Data wrangling

Data preprocessing

Verbal & written communication

Analytical and problem solving

Influence skills

Collaboration & teamwork

Data driven decision making

Education

Advanced degree or certification in related field

Tools

Programming

Big data tools

Job description

#AIJobsAtBMO

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:

Advanced level of proficiency:

• Mathematics, statistics & operations research.
• Deep learning.
• Machine learning.
• Trust, bias and ethics.
• Creative thinking.
• Critical thinking.
• Big data.
• Data visualization.
• Computational thinking and programming.
• Data wrangling.
• Data preprocessing.
• Creative reasoning.
• Verbal & written communication skills.
• Analytical and problem solving skills.
• Influence skills.
• Collaboration & team skills; with a focus on cross-group collaboration.
• Able to manage ambiguity.
• Data driven decision making.
• Typically 7+ years of relevant experience and/or certification in related field of study or an equivalent combination of education and experience.
• Seasoned professional with a combination of education, experience and industry knowledge.

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.