- 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 roadmapsRequirements- 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 productsCore CompetenciesDemonstrates expertise in C# and SQL for developing fraud detection and automation products, with a robust 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 CommunicationATS Optimization KeywordsHard Skills- C#- SQL- Data Engineering- Machine Learning- Statistics- Model Development- Automation- Production Coding- Data Tuning- Fraud DetectionSoft Skills- Client Interaction- Feedback Gathering- Presentation Skills- Stakeholder Engagement- Learning AgilityIndustry Keywords- Fraud Detection- Anti-Money Laundering- Claim Automation- Insurance ProductsTools & Technologies- ElasticSearch#J-18808-Ljbffr

📌 Ai And Data Science Internship At Rbc (Toronto)
🏢 A leading technology
📍 Toronto