Applied Data Scientist/Engineer

Jobtailor; Toronto; On-site; CAD 90,000 - 130,000; Full time

Job summary

Jobtailor in Toronto, Canada, is seeking a skilled software professional to help build fraud detection and anti-money laundering products. The role focuses on production-grade C# and SQL, with hands-on work across structured data, free text, documents, and images.

You will design and deploy data pipelines from client extracts to SQL and ElasticSearch, develop ML models, and engage with clients to shape product roadmaps.

Qualifications

• 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

Responsibilities

• 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 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

Skills

C# Programming

SQL

Data Engineering

Machine Learning

Statistics

Model Development

Automation

Production Coding

Fraud Detection

Client Communication

Education

Machine Learning / Statistics Degree

Tools

ElasticSearch

Job description

• 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

• 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

Core Competencies

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# Programming


• SQL Database Management


• Machine Learning Understanding


• Data Engineering


• Client Communication

ATS Optimization Keywords

Hard Skills

• C#


• SQL


• Data Engineering


• Machine Learning


• Statistics


• Model Development


• Automation


• Production Coding


• Data Tuning


• Fraud Detection

Soft Skills

• Client Interaction


• Feedback Gathering


• Presentation Skills


• Stakeholder Engagement


• Learning Agility

Industry Keywords

• Fraud Detection


• Anti-Money Laundering


• Claim Automation


• Insurance Products

Tools & Technologies

• ElasticSearch