Team Lead

4 days ago Be among the first 25 applicants Calling all AI and machine learning experts We have a fantastic opportunity to join our team in Hong Kong. Artificial intelligence is shaping the future of insurance. Our latest lab is located in the Hong Kong Science and Technology Park to turn this vision into a reality. As Canada's largest home, auto and business insurer, we're here to cultivate the next generation of technology and talent. Together, we're helping our customers protect what matters to them most through the power of data science, machine learning and AI. Life in the Lab Technology is only as good as the people behind it. Every day at work, you’ll inspire and be inspired by the brilliant minds of our greater lab team: actuaries, data scientists, machine learning experts, geomathematicians, meteorologists, software engineers and designers. Together, you will tackle challenging problems and have the freedom to imagine, research, create, test, and bring innovative solutions to life that will have a profound impact on our business and the needs of our customers. As our company grows, your career will grow with it. There will always be an opportunity for you to develop your leadership skills, strengthen your expertise or take your work in a new direction. Whether it’s leading a new, exciting project or moving into a different AI product team in Canada or Hong Kong, your career will always be on the move. What You’ll Do Lead and cultivate a high-performing cross-functional team, focusing on talent acquisition, engagement, and professional growth. Provide technical advice to their team members responsible for technical work and studies (Risk Assessment, Data Extraction/Enrichment, Natural Language Processing, process optimization and other data science techniques and models). Implement and refine tools and processes to boost team autonomy and efficiency, while providing necessary training and coaching. Formulate appropriate recommendations after analyzing and reviewing analysis produced by team members to improve the performance of products and services. Support management team to help implement strategy, priorities, and actions. Ensure clear and effective communication with all stakeholders outside the team to facilitate delivery. Manage the evaluation, development and coaching of their team members to achieve the strategic objectives of the company, while creating a highly engaged workforce, where employees contribute to the success of the team and company. Coordinate their team’s activities by organizing, planning and controlling the work. Actively participate to the execution of the team projects and mandates. Oversee the day to day of junior members and interns of a small team; coordinate, plan and monitor their activities. Oversee AI-centric projects, aligning with the organizational strategies, priorities, and constraints. Represent the data lab function in various working groups/committees and act as a point of contact with other business units. Ensure solutions meets client expectations and comply with security and governance standards, while optimizing impacts and infrastructure requirements. What You Need Bachelor’s degree in Computer Science, Software Engineering, Data Science or related field. 5-8 years of hands‑on experience, with at least 3-5 of those years leading a team focused on AI driven projects and data management for model training and deployment. Strong leadership skills, with intellectual curiosity and drive to align technical expertise with business needs to deliver value. Experience in coaching and developing technical teams, providing inspiration and fostering growth. Proven ability to manage and execute AI projects effectively, delivering results on time and within budget. Excellent knowledge of MLOps; AI/GenAI models. Familiarity with data governance and data quality management concepts. Team player who fosters collaboration and creativity in an open and honest environment. Passionate about talent development. Strong problem‑solving skills, with excellent communication and presentation abilities. Comfortable working in evolving complex environments and multidisciplinary teams. An agent of change, motivated to question the status quo. No Hong Kong work experience required however must be eligible to work in Hong Kong About Us The Intact Lab – with headquarters in Montreal, Canada – is a fast‑growing, digital innovation hub backed by Intact Financial Corporation (TSX: IFC, HK$110 billion in market cap), Canada’s largest home, auto and business insurance company. Intact Financial (HK) limited (Intact Lab, HK) is our first R&D AI centre outside of Canada. This expansion into the Asia Pacific region is an exciting chapter of our journey to become the best insurance AI shop in the world. What We Offer A financial rewards program that recognizes your success. A dynamic workplace learning ecosystem complete with learning journeys, interactive online content, and inspiring programs. An extensive flex pension and benefits package, with access to virtual healthcare. Flexible work arrangements. An annual wellness account that promotes an active and healthy lifestyle. Access to tools and resources to support physical and mental health, embracing change and connecting with colleagues. Inclusive employee‑led networks to educate, inspire, amplify voices, build relationships and provide development opportunities. Inspiring leaders and colleagues who will lift you up and help you grow. A Community Impact program, because what you care about is a part of what makes you different. And how you contribute to your community should be just as unique. We are an equal opportunity employer At Intact, we value diversity and strive to create an inclusive, accessible workplace where all individuals feel valued, respected, and heard. If we can provide a specific adjustment to make the recruitment process more accessible for you, please let us know when we reach out about a job opportunity. We’ll work with you to meet your needs. Click here to review other important information about the hiring process, including background checks and internal candidates. #J-18808-Ljbffr