Scotiabank

Data Scientist - Toronto

Scotiabank$100K — $120K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • University degree in relevant STEM discipline (e.g., Computer Science, Engineering, Mathematics)
  • 5+ years of production experience in statistical analysis and machine learning
  • Proficient in programming languages such as Java, C++, or Python
  • Solid knowledge of machine learning libraries in R, Python, and Spark
  • Experience with SQL for querying databases (e.g., SQL Server, MySQL)
  • Familiarity with DevOps tools (Git, Azure DevOps) and Docker concepts
  • Strong ability to work with large volumes of structured and unstructured data

Responsibilities

  • Collaborate with stakeholders to identify data-driven opportunities and solve complex problems
  • Design and implement end-to-end machine learning pipelines for data cleaning and model performance evaluation
  • Analyze and interpret large datasets, communicating findings to business clients
  • Prepare documentation outlining data sources and algorithms
  • Leverage distributed computing tools like Spark and Hadoop for actionable insights
  • Work with Data Engineering to deploy models across various business lines
  • Present results to stakeholders and drive data-driven decision-making

Benefits

  • Opportunities for innovation and digital transformation in an agile environment
  • Involvement in a collaborative Advanced Analytics community
  • Training and advisory roles to enhance analytics capabilities
  • Access to advanced data management and analytical tools
  • Potential for flexible hours to accommodate project demands
Full Job Description
Requisition ID: 272873

The Data Scientist role in the Analytics, Personalization & Innovation team is designed for individuals with a curiosity for deriving insights out of data and applying them to address business opportunities, in partnership with engineering teams and business lines driving innovation and advanced analytics across the Enterprise.

As part of the Advanced Analytics & Modeling team, the Data Scientist is responsible for executing and enhancing existing modeling frameworks with transparent use of enterprise-level data, AI/ML resources and advanced analytics in line with stakeholder priorities. The incumbent will support key projects in a quick pace environment, aimed at accelerating benefits for customers and the bank, leveraging enterprise-level data management tools and advanced analytics. She/he will work closely with Analytics teams, business lines and technology to apply advanced analytics techniques and tools, as well as explore ideas to enhance business opportunities utilizing advanced analytics and artificial intelligence.

Is this role right for you? In this role you will:
  • Collaborate with stakeholders in identifying opportunities for leveraging data and use of ML algorithms to develop innovative solutions and solve complex business problems
  • Design, develop, and implement end-to-end machine learning production pipelines (data exploration, cleaning, feature engineering, model building, and performance evaluation) and ensure that pipelines are scalable, repeatable, and secure, and can serve multiple users within the company.
  • Apply statistical, analytical and programming skills to analyze and interpret large data sets and communicate results and methodologies to business clients and senior members of the analytics team.
  • Prepare detailed documentation to outline data sources, models and algorithms used
  • Expert in analyzing large, complex multi-dimensional datasets in structured and unstructured format.
  • Leverage distributed computing tools (e.g. Spark, Hadoop) for analysis, data mining and modeling to provide actionable insights to decision makers within the Bank.
  • Collaborate with Data engineering to deploy models and algorithms in production, across business lines and geographies
  • Present results to business line stakeholders and help implement real data-driven changes
  • Be an integral part of the Advanced Analytics community for incubating ideas and use case acceleration in all business lines through advisory, training and scalable solutions
  • Support analytical use-case delivery, as well as customer/financial benefits tracking and communication
  • Creates an environment in which his/her team pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.


Do you have the skills that will enable you to succeed in this role? - We'd love to work with you if you have:
  • The Data Scientist role requires rigorous logical thinking, curiosity, flexibility and great teamwork abilities. The candidate will be at the intersection of math/stats, computer science, communication, the business line and the customer. She/he will take a supporting role in agile rapid labs and strategy development to drive innovation and digital transformation throughout the Bank and Corporate
  • University degree in relevant STEM discipline (Computer Sciences, Electrical/Computer/Software Engineering and Mathematics)
  • Production experience with experimental design, statistical analysis, machine learning and predictive modeling (e.g. cross-sell, upsell, attrition, acquisition and lookalike models)
  • Programming skills in Java, C++ or Python
  • Solid knowledge in machine Learning libraries in R, Python, Spark
  • Experience with Python, SAS and SQL skills for querying relational databases (e.g. SQL Server, DB2, MySQL)
  • Experience with DevOps tools (Git, Azure DevOps, CI/CD, Databricks Workflows, Airflow) and Docker concepts would be an asset
  • Ability to ingest and work with large volumes of structured and unstructured non-traditional data
  • Working experience with machine learning and other AI techniques for strategy design
  • Working knowledge of strategy optimization leveraging operations research principles would be an asset
  • Strong collaboration skills with ability to translate technical knowledge into business value
  • Effective communication skills with ability to prepare project documentation and presentations


Working Conditions

This position works in a standard office environment. The position is primarily non-physical and does not involve travel. Standard working hours are a regular occurrence however depending on projects there could be some additional working hours required periodically.

Location(s): Canada : Ontario : Toronto

About Scotiabank

Scotiabankers are committed to helping individuals, companies, and communities to thrive in a changing world. From personal and business banking, brokerage, and insurance, to private wealth, and the most sophisticated commercial, corporate and institutional services, they serve the diverse needs of some 21 million customers in more than 55 countries. Founded in 1832 in Halifax, Nova Scotia, their growth has always been fuelled by the success of their customers and their longevity secured by an unshakable commitment to carefully and expertly managing risk and capital. That focus on doing what's right for customers—short- andlong-term—has made us a global financial services leader. Headquartered in Canada, they are over 86, 000 Scotiabankers strong. Each of us are committed to being the best at understanding their customers' needs and all of us working together to deliver practical advice and relevant solutions that help their customers become financially better off.

Scotiabank Careers

Join Scotiabank, a premier financial institution, and become part of a diverse and inclusive team that’s leading the way in global banking. At Scotiabank, we offer more than just job opportunities; we provide a platform for professional growth and innovation in the financial services industry.

Work You’ll Do

At Scotiabank, we’re not just filling positions; we’re cultivating leaders. Dive into a workplace where diversity training and leadership development shape the path to your future. Our commitment to professional growth is evident in our robust training programs and continuous learning opportunities that foster innovation and strategic thinking.

Explore a World of Opportunities

Whether you’re looking for a full-time position, an internship, or a leadership role, Scotiabank has a spectrum of opportunities to fit your career ambitions. Our team is composed of individuals who bring a wealth of skills and perspectives to our company, driving us forward with their creativity and strategic insights.

Innovative Work Environment

Scotiabank’s culture is one of collaboration and respect, where each team member’s contribution is valued. Engage in meaningful work that challenges you to leverage your skills and push the boundaries of what’s possible in the banking sector. Our innovative projects not only support the growth of the company but also ensure our position as a leader in the industry.

Benefits and Growth

Choosing a career at Scotiabank means opting for a life of growth and opportunity. Our employees enjoy competitive benefits, including comprehensive health coverage, retirement plans, and flexible working conditions, all designed to support your career and personal life. We believe in nurturing our team’s potential by providing them with the tools they need to succeed both professionally and personally.

Join Our Team

Ready to take the next step in your career? Explore the job opportunities at Scotiabank by searching our open positions that match your skills and interests. We are continuously hiring and looking for passionate, curious, and solution-driven team players.

Networking and Professional Development

Stay connected and advance your career through Scotiabank’s extensive networking opportunities. Participate in events that connect you with other professionals and leaders within the industry. Our career resources will help you prepare your resume, ace your interviews, and land the job that best suits your career goals.

Stay Ahead

Keep up to date with the latest in career tips, industry insights, and company news—all from the people who work here at Scotiabank. Personalize your experience by subscribing to job alert emails tailored to your preferences and be the first to know about new openings and exciting developments. Join Scotiabank and be part of a team that values integrity, respect, and accountability. Discover how your career can flourish in an environment committed to your professional development and personal growth.
Learn more about Scotiabank
Size
90,619 employees
Market Cap
$57.5 billion
Industry
5 Year Trend
+7%
NASDAQ

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