TD

Data Scientist III / Geospatial Analytics

Toronto, Ontario Full time

Work Location:

Toronto, Ontario, Canada

Hours:

35

Line of Business:

Analytics, Insights, & Artificial Intelligence

Pay Details:

88 500 $/$88,500 - 132 700 $/$132,700 CAD

TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.

As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.

Job Description:

Summary

This role will be part of the Geospatial Intelligence team that supports several partners with insights and analytics. We are looking for a self-motivated individual who thrives in a dynamic fast-paced environment.

As a Data Scientist with geospatial expertise, you will leverage advanced analytics and spatial intelligence to deliver insights that drive strategic decisions in insurance. This role combines data science techniques with GIS capabilities to support pricing, product, underwriting, reinsurance, operations and catastrophe risk modeling.

CUSTOMER

  • Work closely with business owners to identify opportunities and serve as an ambassador for data science and geospatial intelligence.
  • Translate business problems into viable data science solutions, incorporating geospatial data analysis and spatial modeling where relevant.
  • Use programming languages (e.g., Python, R) and techniques for extracting and preparing data, applying statistics and advanced analytics.
  • Integrate geospatial datasets and tools (ArcGIS, QGIS, GeoPandas) to support location-based risk assessment and climate modeling.
  • Visualize insights using dashboards, charts, and interactive maps to communicate effective results to stakeholders.
  • Collaborate with data engineers, GIS specialists, and application developers to build scalable solutions.

SHAREHOLDER

  • Provide analytical thought leadership and stay current on developments in data science and geospatial analytics.
  • Solicit and offer ideas for improving business processes through insights with the objective of improving effectiveness and efficiency.
  • Design and deliver powerful business insights, including spatial risk models for catastrophe and climate exposure.
  • Ensure respective programs/policies/practices are well managed, meets business needs, complies with internal and external requirements, and aligns with business priorities.
  • Participate in cross-functional / enterprise / initiatives as a subject matter expert in geospatial intelligence helping to identify risk / provide guidance for complex situations.
  • Monitor service, productivity and assess efficiency levels within own function and implement continuous process / performance improvements where opportunities exist.
  • Lead / facilitate and/or implement actions / remediation plans to address performance / risk /governance issues.
  • Actively manage relationships within and across various business lines, corporate and/or control functions and ensure alignment with enterprise and/or regulatory requirements.
  • Keep abreast of emerging issues, trends, and evolving regulatory requirements and assess potential impacts.
  • Maintain a culture of risk management and control, supported by effective processes in alignment with risk appetite
  • Educate the organization on geospatial methodologies, spatial data validation, and visualization techniques.

EMPLOYEE / TEAM

  • Share knowledge of geospatial tools and best practices within the team.
  • Mentor colleagues on integrating spatial analysis into data science workflows.
  • Promote innovation by combining AI/ML techniques with GIS capabilities.
  • Participate fully as a member of the team, support a positive work environment that promotes service to the business, quality, innovation and teamwork and ensure timely communication of issues/ points of interest.
  • Provide thought leadership and/ or industry knowledge for own area of expertise in own area and participate in knowledge transfer within the team and business unit.
  • Keep current on emerging trends/ developments and grow knowledge of the business, related tools and techniques.
  • Participate in personal performance management and development activities, including cross training within own team.
  • Keep others informed and up to date about the status / progress of projects and / or all relevant or useful information related to day-to-day activities.
  • Contribute to team development of skills and capabilities through mentorship of others, by sharing knowledge and experiences and leveraging best practices.
  • Lead, motivate and develop relationships with internal and external business partners / stakeholders to develop productive working relationships.
  • Contribute to a fair, positive and equitable environment that supports a diverse workforce.
  • Act as a brand ambassador for your business area/function and the bank, both internally and/or externally

BREADTH & DEPTH

  • Accountable for complex initiatives requiring integration of geospatial and data science processes.
  • Undertake and complete a variety of complex initiatives requiring seasoned specialist knowledge and/or the integration of cross functional processes.
  • Work independently on projects involving spatial data management and advanced analytics.
  • Position typically deals with senior/executive management.
  • May manage and prioritize multiple projects at a given time.

EXPERIENCE AND / OR EDUCATION

  • Undergraduate or graduate degree in Math, Computer Science, Engineering, or Geography/Geospatial Analytics, Computer Science, or related field.
  • 5+ years of relevant experience in data science; experience with geospatial analytics strongly preferred.
  • Proficiency in Python, R, SQL, and geospatial libraries (GeoPandas, Shapely).
  • Hands-on experience with GIS platforms (ArcGIS, QGIS and ESRI software).
  • Understanding of coordinate systems, projections, and spatial data formats (shapefiles, GeoJSON).
  • Familiarity with insurance industry is an asset.
  • Strong interpersonal and communication skills, both written and verbal ability to tell a compelling story which can be consumed by business partners.

Who We Are:

As part of TD Bank Group, one of Canada's largest financial institutions, at TD Insurance, we care for Canadian families, making it easy to get the best advice, protection, and support in their moments of need, always.

TD Insurance offers a wide range of products, including General Insurance and Life and Health. More than four million customers count on us.

As the largest direct to consumer insurer in Canada, we are always innovating and providing exciting and rewarding career opportunities for our Canada-wide workforce.

Our Total Rewards Package
Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical, and mental well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs. Learn more

Additional Information:
We’re delighted that you’re considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we’re committed to providing the support our colleagues need to thrive both at work and at home.

Please be advised that this job opportunity is subject to provincial regulation for employment purposes. It is imperative to acknowledge that each province or territory within the jurisdiction of Canada may have its own set of regulations, requirements.


Colleague Development
If you’re interested in a specific career path or are looking to build certain skills, we want to help you succeed. You’ll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities. Whether you have a passion for helping customers and want to expand your experience, or you want to coach and inspire your colleagues, there are many different career paths within our organization at TD – and we’re committed to helping you identify opportunities that support your goals.
 

Training & Onboarding
We will provide training and onboarding sessions to ensure that you’ve got everything you need to succeed in your new role.

Interview Process 
We’ll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.


Accommodation
Your accessibility is important to us. Please let us know if you’d like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.

We look forward to hearing from you!

Language Requirement (Quebec only):

Sans Objet