Data Scientist

1 day ago

Quezon City, Philippines Manulife Full time

Overview Data Scientist role at Manulife located in Quezon City, National Capital Region, Philippines. The Data Scientist will collaborate with various teams to deliver data-driven insights and scalable solutions that align with business objectives, identify opportunities for data solutions, and build business cases to demonstrate value and ROI. The role also involves researching and developing ML and GenAI solutions to enhance automation, evaluating emerging technologies to improve workflows, and supporting change management during transitions. Position Responsibilities Collaborate with multiple teams to provide data-driven insights, develop scalable data solutions, and support business objectives. Identify opportunities for data-driven solutions, assess feasibility, and build business cases to demonstrate value and ROI. Research, prototype, and develop ML and GenAI powered solutions to enhance automation and decision-making processes. Evaluate and introduce emerging technologies, best practices, and tools to improve the team’s capabilities and workflows. Provide support and facilitate change management during periods of transition. Required Qualifications Degree in Statistics, Math, Computer Science, Engineering, or other courses with equivalent technical experience Minimum of 5 years of applicable experience with advanced knowledge of programming languages and concepts (R, Python, PySpark) Experience in designing and developing AI, NLP, and LLM powered solutions Experience working and developing solutions on the cloud (Azure, AWS, GCP) is a plus Strong knowledge of machine learning and AI algorithms Strong communication skills; Able to simplify complex concepts to a broad audience Proficient in querying and analyzing both structured and unstructured data (SQL, NoSQL, JSON, MongoDB) Ability to manage multiple concurrent projects Knowledge in statistical tests, distributions, maximum likelihood estimators, statistical modelling techniques Knowledge in data visualization tools such as PowerBI, Plotly, R Shiny, etc. When you join our team We’ll empower you to learn and grow the career you want. We’ll recognize and support you in a flexible environment where well-being and inclusion are more than just words. As part of our global team, we’ll support you in shaping the future you want to see. Seniority level Mid-Senior level Employment type Full-time Job function Business Development Industries: Insurance #J-18808-Ljbffr

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