Applied Data Scientist/Engineer

Shift Technology

Applied Data Scientist/Engineer developing data pipelines and machine-learning models for Shift Technology’s insurance AI platform. Client-facing work across fraud detection, anti-money laundering, and claims automation.

Posted 9/4/2026full-timeToronto • 🇨🇦 CanadaJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in C# and SQL for developing fraud detection and automation products, with a strong foundation in machine learning and statistics. Capable of engaging with clients and stakeholders to gather feedback and define product roadmaps.

Highest-signal resume keywords

C# ProgrammingSQL Database ManagementMachine Learning UnderstandingData EngineeringClient Communication

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

C#SQLData EngineeringMachine LearningStatisticsModel DevelopmentAutomationProduction CodingData TuningFraud Detection

Soft Skills

Client InteractionFeedback GatheringPresentation SkillsStakeholder EngagementLearning Agility

Tools & Technologies

ElasticSearch

Industry Keywords

Fraud DetectionAnti-Money LaunderingClaim AutomationInsurance Products

Tech Stack

Tools & technologies

ElasticSearchSQL

About the role

Key responsibilities & impact

Participate in developing fraud detection, anti-money laundering, and claim automation products
Work with structured data, free text, documents, and images
Implement data engineering from client extracts to insertion into SQL and ElasticSearch data stores
Develop, test, tune, and productionize models for fraud detection and automation detection in complex environments
Automate key business tasks in the production process framework using C#
Conduct client meetings and interact with external stakeholders
Gather user feedback, present business cases, and define product evolution roadmaps

Requirements

What you’ll need

2+ years of experience in C# and SQL
Production-quality, maintainable coding skills
Degree in machine learning and/or statistics, or clear understanding of statistics and machine learning problems, tasks, and common resolutions
Comfortable communicating with clients regularly
Interest in learning and mastering the business aspects of insurance products

Benefits

Comp & perks

Flexible remote and hybrid working options
Competitive Salary and a variable component tied to personal and company performance
Multiple Learning and Development opportunities, including Focus Fridays, a half-day each month to focus on learning and personal growth
Generous PTO and paid holidays
Mental health benefits
2 MAD Days per year (Make A Difference Days for paid volunteering)
Additional benefits may be offered by country, based on eligibility