Job Title: Data Science Actuary - Mid-Senior Level Location: Hybrid - Wellington New Zealand Job Type: Full-Time About Us: We are a fast growing actuarial technology company committed to providing innovative solutions to our clients through our actuarial modeling toolkit and AI powered model copilot. Our team is at the forefront of integrating actuarial science, AI and technology to make actuaries more effective. The Role: We are seeking a talented and experienced Mid-Senior level Actuary to join our dynamic team. This role focuses on applying advanced data science techniques to support customer projects including the development of proxy models and application of machine learning techniques for customer behavior modeling. The ideal candidate would also be able to contribute to the implementation of actuarial models in the Montoux platform and be able to support customers in using actuarial and data science models to address a range of use cases. This role may also suit actuaries with a P&C or health insurance background and strong data science capabilities. Responsibilities: Apply data science methods, including machine learning and predictive analytics, to support customer requirements in the development of data science models.Conduct in-depth analysis and provide strategic recommendations based on model outputs and data insights.Work with actuarial modeling and customer success teams to deliver high-value customer projects. Develop and enhance actuarial models for pricing, reserving, and risk management, ensuring compliance with regulatory requirements and industry best practices.Stay abreast of advancements in actuarial science and data analytics, incorporating innovative approaches into model development.Mentor junior actuaries and data scientists, fostering a culture of continuous learning and development.Lead projects from conception to implementation, ensuring timely delivery and alignment with business objectives.Requirements: Bachelor's or Master's degree in Actuarial Science, Mathematics, Statistics, or a related field.Minimum of 5-7 years of actuarial experience, with a strong focus on model development.Professional actuarial qualificationsSolid understanding of data science and machine learning techniques and their application in actuarial work.Proficiency in actuarial software (e.g., Prophet, MoSes, AXIS) and programming languages (e.g.,Golang, C++, R, Python, SQL).Excellent analytical, problem-solving, and communication skills.Ability to work collaboratively in a team environment and manage multiple projects simultaneously.What We Offer: Competitive salary and benefits package. Opportunities for professional development and career advancement. A collaborative and innovative work environment. Flexible working arrangements to balance your personal and professional life.
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