Associate Data Scientist

4 weeks ago

Toronto, Canada Manulife Insurance Malaysia Full time

***Nous utilisons des* *pour fournir des statistiques qui nous aident à vous offrir la meilleure expérience sur note site. Vous y trouverez des renseignements sur les témoins, ou vous pouvez les désactiver si vous préférez. Toutefois, en continuant d’utiliser le site sans modifier les paramètres, vous consentez à notre utilisation de***Join our dynamic Group Functions AI team as an Associate Data Scientist, where you will play a crucial role in enhancing our Global Fraud Center of Excellence. We are seeking a motivated individual with expertise in Machine Learning (ML) modeling, Generative AI (GenAI) integration, and cloud computing. You will develop sophisticated AI models and leverage cloud technologies like Azure and Databricks to process large volumes of data efficiently. Your work will directly contribute to the security and integrity of our global financial services, collaborating with cross-functional teams to design and implement cutting-edge fraud detection AI tools.**Position Responsibilities:** **ML Model Development:** Design and refine machine learning models for fraud detection, integrating GenAI techniques to enhance capabilities, with a focus on graph analytics and experience with graph databases like Neo4j being a plus. **Collaboration:** Work closely with business partners to translate their requirements into code and with data engineers and ML engineers to integrate data science solutions into existing workflows. **Required Qualifications:** Strong programming skills in Python and familiarity with PySpark/Spark SQL/SparkML.Experience with Generative AI techniques and cloud platforms, specifically Azure Databricks. Excellent communication skills and the ability to collaborate effectively with diverse teams. Strong problem-solving skills and the ability to think creatively. **Preferred Qualifications:** 1-2 years of industry experience (including co-op) in data science with a focus on fraud detection.Experience building production ready models based on very large datasets containing millions of records.Experience in building Q&A bots or agentic solutions for automation.#J-18808-Ljbffr

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