Head of Data Science

China Bank PH; Philippines; On-site; PHP 5,000,000 - 8,000,000; Full time

Job summary

China Bank Philippines seeks a Data Science Lead to drive advanced analytics and AI solutions that enable business growth. You will lead a team of data professionals, partner with stakeholders, and shape data-driven decision-making across the organization.

The role requires a strong background in data science, leadership, and experience delivering predictive models and analytics initiatives in a banking context. Collaboration with IT and business units is essential.

Qualifications

• Bachelor's degree in a relevant field; advanced degree preferred.
• 10+ years in data science or analytics with 5+ years in leadership.
• Banking experience is preferred; strong data analysis and ML skills.
• Proficiency in Python or R and data manipulation tools like SQL.
• Experience with big data tech and cloud platforms is advantageous.

Responsibilities

• Define and execute the data science strategy aligned with business goals.
• Lead, mentor, and develop a data science team and culture of innovation.
• Collaborate with business units to identify opportunities for data science impact.
• Develop predictive models and ML solutions to address complex challenges.
• Oversee projects end-to-end from ideation to deployment and value realization.
• Ensure data quality, governance, and security across initiatives.
• Present insights and business impact to senior stakeholders.

Skills

Python

R

SQL

Tableau

Power BI

Data visualization

Statistical modeling

Leadership

Analytics

Education

Bachelor's degree in Data Science / CS / Statistics

Advanced degree (Master's or PhD) preferred

Tools

Hadoop

Spark

AWS

Azure

Job description

About You & the Role

You are a strategic thinker and hands-on leader who is passionate about turning data into business value. As a Data Science Lead, you will drive the development of advanced analytics, machine learning, and AI solutions that support business growth and innovation. You will lead a team of data professionals, partner with stakeholders across the organization, and help shape the future of data-driven decision-making.

What You Will Be Doing

• Define and execute the organization's data science strategy aligned with business objectives.


• Lead, mentor, and develop a team of data scientists while fostering a culture of innovation and continuous learning.


• Partner with business units to identify opportunities where data science can improve performance, efficiency, and customer experience.


• Develop predictive models, machine learning solutions, and advanced analytics initiatives to solve complex business challenges.


• Oversee end-to-end data science projects from ideation and proof of value through deployment and optimization.


• Collaborate with IT and other teams to ensure data quality, governance, security, and scalability.


• Present insights, recommendations, and business impact to senior stakeholders and decision-makers.


• Explore emerging technologies, industry trends, and innovative applications of AI and data science.

What Success Looks Like

• Data science initiatives deliver measurable business impact and support strategic objectives.


• Predictive models and analytics solutions are successfully implemented and adopted by the business.


• Projects are delivered on time, meet stakeholder expectations, and generate actionable insights.


• Strong collaboration exists between data, technology, and business teams.


• The data science team continues to grow in capability, innovation, and performance.

Qualifications

• Bachelor's degree in a relevant field (e.g., Data Science, Computer Science, Statistics, Mathematics, Engineering). Advanced degree (Master's or Ph.D.) in Data Science or a related field preferred.


• Minimum of 10 years of experience in data science, analytics, or a related field, with at least 5 years in a leadership or managerial role, and relevant banking experience.


• Strong knowledge and hands-on experience in data analysis, statistical modeling, machine learning, and predictive analytics.


• Technical Skills: Proficiency in programming languages such as Python or R. Experience with data manipulation and visualization tools (e.g., SQL, Tableau, Power BI).


• Familiarity with big data technologies and cloud platforms (e.g., Hadoop, Spark, AWS, Azure) is advantageous.


• Project management experience including planning, initiation, resource allocation, risk & issue management, and stakeholder management are required.

What You Can Expect Here

• Opportunities to lead high-impact AI and data science initiatives.


• Exposure to enterprise-scale analytics projects and business transformation programs.


• Continuous learning in emerging technologies, machine learning, and AI.


• A collaborative environment where innovation and knowledge-sharing are encouraged.


• Career growth opportunities while working alongside business leaders, technology teams, and industry experts.