Senior Data Scientist - HK at Intact FC

, Hong Kong, China -

Full Time

Start Date

Immediate

Expiry Date

25 May, 26

Salary

0.0

Posted On

24 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Advanced Statistics, Predictive Modelling, Artificial Intelligence, Data Science, Scikit-learn, XGBoost, PyTorch, TensorFlow, LightGBM, Pandas, NumPy, Python, Software Engineering Best Practices, Communication, Time Management

Industry

Insurance

Description

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 A.I. product team in Canada or Hong Kong, your career will always be on the move. SENIOR DATA SCIENTIST – Hong Kong Intact Lab 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. What you’ll do here: Use machine learning and advanced statistics to help build innovative solutions for real-life customer and business problems. Influence the AI roadmap for the largest home, auto and business insurer in Canada. Explore and master new technologies to use in your own solutions. Grow alongside a diverse team of world-class experts in data science, software engineering, actuarial science, business and design. Transform data into meaningful conclusions and recommendations. Collaborate with other teams to promote a data-driven approach within the organization. Validate the scientific methodology and project outputs of the other team members. Mentor and coach interns and other engineers to help us grow, as a team. All this, while keeping a good work-life balance. What you bring to the table: A bachelor’s degree in a quantitative discipline such as mathematics, science, engineering, statistics, AI, computer science or a related field. MSc and/or PhD are an asset. 5+ years of relevant experience in predictive modelling, machine learning and advanced statistics solving business problems. Experience with our tech stack: scikit-learn, xgboost, pytorch, tensorflow, LightGBM, pandas, numpy. Intermediate-to-Expert-level understanding of the underlying theory and implementation details of machine learning techniques such as clustering, decision trees, neural networks, Linear and Non-Linear Programming, Deep Learning (ANN, RNN, CNN), Reinforcement Learning, and large language models. Programming experience in languages such as Python, as well as knowledge of software engineering best practices. Unlimited curiosity and a passion to challenge the status quo. Ability to focus on vaguely defined issues requiring the application of a creative approach. Strong communication, time management and work organization skills. #LI-Hybrid What we offer Working here means you'll be empowered to be and do your best every day. Here is some of what you can expect as a permanent member of our team: 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.

Responsibilities

The role involves using machine learning and advanced statistics to develop innovative solutions for customer and business challenges, while also influencing the AI roadmap for Canada's largest insurer. Responsibilities include transforming data into meaningful conclusions, validating methodologies, and mentoring junior team members.