Data Science Manager (Databricks)

Compulsory requirements: experience with Databricks, People Management, ML, BI

DATA SCIENCE MANAGER

Salary: Competitive and based on experience
Location: Hong Kong

Keywords: collaborative, inclusive, knowledge sharing, mentoring, business intelligence, machine learning, predictive analytics, data integration, team relationships, global partnerships

A leading international insurance organisation is seeking a Data Science Manager to join their Asia team in Hong Kong. This permanent position offers you the opportunity to shape the future of business intelligence, AI, and data science across multiple markets. You will be at the forefront of driving advanced analytics and modernisation initiatives, collaborating with diverse teams and stakeholders to deliver impactful solutions. The role provides a unique platform for you to mentor a talented team, foster knowledge sharing, and promote inclusive innovation. With a strong commitment to talent development and global collaboration, this organisation values your expertise in Databricks, machine learning, and business intelligence tools. If you are passionate about translating complex analytics into actionable business insights and thrive in an environment that encourages growth and inter-personal connection, this is your chance to make a lasting impact.

* Join a globally recognised insurance leader with over 100 years of presence in Asia, offering stability and long-term career prospects within a supportive network.
* Take ownership of high-impact projects that combine BI, AI, and data science for strategic business transformation, working closely with both onshore and offshore teams.
* Enjoy flexible working opportunities, generous training support, and a culture that values diversity, inclusion, and collaborative leadership for personal and professional growth.

What you'll do:

As a Data Science Manager based in Hong Kong, you will play a pivotal role in shaping the organisation’s approach to advanced analytics across Asia. Your day-to-day responsibilities will involve collaborating closely with business leaders to understand their needs and translate them into technical solutions that drive strategic impact. You will lead the development of cutting-edge BI platforms and predictive dashboards while championing the adoption of AI-powered tools. By proactively identifying high-value opportunities for innovation, you will help prototype new solutions that address emerging business challenges. Your ability to source and integrate data from various systems will enable you to generate actionable insights that inform key decisions. Building strong relationships within your team—and across global networks—will be essential as you foster knowledge sharing and promote inclusivity. Compliance with governance standards will underpin your work as you invest in talent development for yourself and your team. Ultimately, your efforts will strengthen partnerships across borders while scaling analytics capabilities throughout the organisation.

* Collaborate with internal business customers, analytics leads, and partners to design and deliver solutions that integrate BI, AI, and data science for measurable strategic impact.
* Champion the adoption of advanced analytical techniques by introducing AI-powered BI tools and machine learning models to enhance decision-making processes.
* Proactively identify new business challenges and prototype innovative BI and data science solutions that demonstrate clear value to the organisation.
* Act as a bridge between business needs and technical solutions by ensuring clarity and alignment among all stakeholders throughout project lifecycles.
* Source, integrate, and explore data from multiple systems while applying AI-driven BI techniques to uncover trends, relationships, and actionable insights.
* Oversee the creation of interactive dashboards and reporting frameworks that leverage predictive analytics for forward-looking business intelligence.
* Build strong team relationships by encouraging knowledge sharing, promoting diverse perspectives, and fostering an inclusive environment for innovation.
* Maintain strict adherence to organisational policies, data governance standards, and relevant legislation to ensure compliance across all analytics activities.
* Take responsibility for talent development by mentoring team members in BI, AI, and data science technologies while supporting their career growth.
* Strengthen partnerships with business stakeholders and enhance collaboration with offshore teams to scale BI, AI, and data science capabilities globally.

What you bring:

The ideal candidate for the Data Science Manager role brings significant expertise in managing complex datasets within financial services—preferably general insurance—and has consistently delivered models that drive real-world results. Your proficiency in Databricks sets you apart as someone who can mentor others while advancing the team’s capabilities. You have deep practical knowledge of machine learning techniques alongside hands-on experience with leading BI tools like PowerBI or Tableau. Your leadership skills are demonstrated through effective management of both local teams (3-4 members) and remote collaborators; you are committed to nurturing talent through ongoing training opportunities. Experience with Big Data technologies such as Hadoop or Spark enables you to build scalable solutions that handle vast amounts of information efficiently. You excel at extracting actionable insights from structured or unstructured datasets using advanced programming skills (R/Python) within Linux environments. Your ability to communicate complex ideas clearly ensures buy-in from stakeholders at all levels while your track record of delivering projects in agile settings highlights your dependability. These qualities make you well-suited for driving collaborative innovation within this global insurance organisation.

* Extensive experience managing data within financial services environments—ideally general insurance—with proven results in delivering impactful models.
* Demonstrated proficiency in Databricks; ability to mentor others on its use is highly valued for this leadership role.
* Deep understanding of machine learning concepts with practical experience implementing models that drive sustained business outcomes.
* Expertise in business intelligence tools such as PowerBI or Tableau for designing interactive dashboards and reporting frameworks.
* Strong people leadership skills including experience managing teams both onshore (3-4 members) and offshore; commitment to nurturing talent is essential.
* Hands-on experience with Big Data technologies including Hadoop, NoSQL databases (such as Spark), Parquet formats for scalable analytics solutions.
* Ability to derive meaningful insights from large structured and unstructured datasets using advanced analytical methods.
* Proficiency in programming languages such as R or Python; collaborative experience in project architecture management is desirable.
* Familiarity with Linux environments for deploying scalable analytics applications within enterprise settings.
* Skill in presenting complex analytics solutions clearly to diverse audiences; proven track record of successful project delivery within agile work settings.

What sets this company apart:

This international insurance group stands out for its enduring legacy—over 100 years in Asia—and its commitment to building a supportive network across 26 countries worldwide. Employees benefit from flexible working opportunities tailored to individual needs alongside generous training support designed to foster continuous professional development. The company’s culture emphasises diversity, inclusion, and collaborative leadership; every voice is valued when it comes to driving innovation in BI, AI, and data science. Team members enjoy access to global partnerships that encourage knowledge sharing across borders while benefiting from robust governance standards that ensure responsible analytics practices. With a focus on nurturing talent at every level—from entry through management—the organisation invests heavily in upskilling employees so they can grow personally as well as professionally. This makes it an ideal environment for those who value inter-personal connection alongside technical excellence.

What's next:

If you are ready to take your career further by joining a global leader committed to collaborative innovation in data science—apply now!

Apply today by clicking on the link provided.