Data Scientist Jobs in Canada (No ghost jobs, direct from employers)

1. DESCRIPTION

Position Title: Data Scientist - BNSJP00042476

1. CANDIDATES WILL STAND OUT IF THEY CAN CLEARLY ARTICULATE

The business problem they solved.

Their specific technical contribution.

How the solution was designed, deployed, and adopted.

Measurable outcomes delivered by the initiative.

Resumes that list numerous technologies without demonstrated hands-on implementation or production experience may be considered less competitive.

1. JOB DESCRIPTION

Location Address: 44 King Street W

Work arrangement: 2-3 days in the office per week.

Contract Duration: 1 year

Possibility of extension: Possible

Number of Positions: 1

Schedule Hours: 9 am-5 pm Monday-Friday; standard 37.5 hrs/week

Reason: Maternity leave coverage

1. STORY BEHIND THE NEED

Corporate Functions Analytics

The Senior Data Scientist within the Corporate Functions Analytics team is responsible for designing and implementing advanced analytics and artificial intelligence (AI) solutions that address complex business challenges across client's global Corporate Functions. This role requires a strong drive to uncover actionable insights from data and apply those insights to identify and capitalize on business opportunities.

The incumbent will work collaboratively with global teams and business units, fostering innovation and the advancement of analytics across client. Their efforts will help drive the adoption of advanced analytics and AI, supporting the organization's commitment to leveraging data-driven strategies for growth and efficiency.

Candidate value proposition.

Daily activities

Analyzing large, complex multi-dimensional datasets in structured and unstructured format.

Providing support to various partners and stakeholders across Corporate Functions, by leading in the discovery process to identify business requirements and expected outcomes.

Developing innovative and effective approaches by applying statistical, predictive modeling techniques to solve stakeholders' business problems.

Effectively communicating results and methodologies to broad audiences, including senior executives and members of the analytics team, and presenting findings in easy-to-understand terms for non-technical audiences.

Preparing detailed documentation to outline data sources, models and algorithms used and developed.

Staying current on trends in Data Science and AI, and translating those trends into actionable strategic and tactical objectives for the Bank.

Contributing to a culture of innovation inside and outside the Bank, as a visionary capable of inspiring through presentation, demonstration, and leading by example.

Providing strong leadership, mentoring and managing direct reports (if applicable) to motivate both individual and team performance and fostering a commitment to the Bank's objectives. Identifying resourcing issues and implementing activities to resolve these issues in a timely manner, to ensure the Bank has the capabilities and skills to secure a competitive advantage in analytics over other Financial Institutions.

1. MUST-HAVE REQUIREMENTS

• 5- 8 years of experience and advanced expertise in AI and machine learning, data engineering to develop solutions within the Corporate Functions Analytics team.
• A relevant STEM degree is required, along with experience in statistical analysis, machine learning, and predictive modeling (cross-sell, upsell, attrition).
• Strong programming skills (Python, Spark, R, SQL), experience with Cloud environments, and visualization tools like Power BI are expected.
• Applicants are required to manage substantial amounts of both structured and unstructured data, utilize machine learning techniques for strategic development, and preferably possess expertise in operations research methodologies for optimizing strategies.
• Strong collaboration skills, the ability to clearly convey technical information as business value, and proficiency in documentation and presenting findings are essential.

1. NICE-TO-HAVE SKILLS

• Spanish proficiency is an asset
• Managing business stakeholder experience is an asset
• Previous banking experience is an asset

1. SOFT SKILLS REQUIRED

The Senior Data Scientist is expected to demonstrate robust logical reasoning, intellectual curiosity, adaptability, and effective collaboration skills. The role requires proficiency across mathematics, computer science, business, and customer engagement, with responsibilities supporting innovation and transformation initiatives.

1. EDUCATION

• Bachelor's degree in a technical field such as computer science, computer engineering or related field preferred

1. BEST VS. AVERAGE CANDIDATE

The best candidate takes ownership, has experience leading development, and understands data. Someone who has spent plenty of years translating business requirements into data and analytics results. Someone who can demonstrate proactivity in data and analytics by combining curiosity, business acumen, and ownership.

1. CANDIDATE REVIEW & SELECTION

Round 1: Virtual Interview (45 minutes) - Please ensure the camera is on.

• Hiring Manager - Data Scientist
• Technical and behavioral assessment

Experience check and interest in the role.

Round 2: In-person Interview (30 - 45 minutes)

• Hiring manager

Cultural fit and experience validation.

Please note:

• AI is not used to screen, assess, or select candidates.
• This role reflects an existing vacancy at the time of posting.