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Senior Data Scientist

  • Company: Get A Job.ai
  • Location: Canada
  • Salary: Pay not listed
  • Full Time
  • Canada

Website Get A Job.ai

Represented by Get A Job.ai

About This Opportunity

We are representing a confidential fintech client in their search for a Senior Data Scientist focused on machine learning and risk analytics. This role offers the opportunity to work on critical fraud detection and financial crime monitoring systems while collaborating across product, engineering, and risk functions.

Our talent team at Get A Job.ai is partnering with this organization to find candidates who are passionate about applying advanced analytics to protect customers and strengthen financial systems.

Responsibilities

  • Build, validate, and deploy machine learning models to identify and prevent fraud in real time
  • Support model reproducibility and robustness through comprehensive documentation, testing, and monitoring
  • Ensure data quality and reliability across pipelines and analytical tools
  • Collaborate with risk strategy teams to ideate on model inputs and applications
  • Work with engineering teams to optimize model deployment and observability

What We're Looking For

Required qualifications:

  • 5+ years of experience working with and analyzing large datasets to solve problems and drive impact
  • 3+ years of machine learning experience
  • Proficiency in SQL with experience using it to understand and manage imperfect data
  • Proficiency in Python and experience with statistical modeling and machine learning
  • Experience deploying and monitoring machine learning models in production
  • Comfort working in a fast-paced environment with evolving priorities

Preferred qualifications:

  • 1+ years of relevant risk experience
  • Familiarity with LLMs or other GenAI and how they can be applied to risk or fraud detection
  • Experience with modern data tools for pipelines and ETL (e.g., dbt)
  • Experience with model governance as required in finance or other regulated industries
  • Experience building zero-to-one solutions in ambiguous or greenfield problem spaces

How We Work with You

When you apply through Get A Job.ai, one of our recruiters will conduct an initial screening to understand your background and ensure alignment with our client's needs. If there's a strong match, we will submit your profile to the client for consideration. Please do not contact the client directly—all communication will be managed through our team to ensure a professional and coordinated process.

Pay

This role is based in Canada. Compensation details will be discussed during the screening process based on experience and location.

Get A Job.ai is an equal opportunity recruiter. We consider all qualified candidates without regard to race, color, religion, national origin, age, sex, marital status, ancestry, disability, veteran status, gender identity, sexual orientation, or any other legally protected characteristic.

Apply with Get A Job.ai

A recruiter will review your profile and submit you to the client. Do not contact the client directly.

More options

Apply with Get A Job.ai

Apply through Get A Job.ai. A recruiter will review your profile and submit you. Do not contact the client directly.

Apply through Get A Job.ai. A recruiter will review your profile and submit you.

Local insights for this role are preparing — this section updates automatically in a few seconds (or refresh).

Listing facts

  • Role Senior Data Scientist
  • Employer Get A Job.ai
  • Location Canada
  • Type Full Time
  • Pay (from listing) Pay not listed
  • Posted September 4, 2026
  • Apply by October 4, 2026
  • Country Canada
  • Overview Full job description on this page (395 words)

Facts above come from this job record on Get A Job.AI — not copied from third-party review sites.

Typical work in Data Scientist

Independent occupational context from O*NET (U.S. public-domain labor data). This is about the occupation, not a rewrite of this employer's posting.

  • Analyze, manipulate, or process large sets of data using statistical software.
  • Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
  • Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
  • Clean and manipulate raw data using statistical software.
  • Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
  • Create graphs, charts, or other visualizations to convey the results of data analysis using specialized software.

Source: O*NET

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Occupation family: Data Scientist

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Senior Data Scientist Get A Job.ai · Canada