Senior Data Scientist - Senior Manager

Overview

PwC Southeast Asia Consulting's vision is to create meaningful relationships with our clients by powering the next generation digital enterprise. Our practice spans the whole range of clients’ digital capabilities, ranging from strategy to execution. We help solve complex boardroom problems, and work with the team to not only solve problems of today but get them ready for new opportunities for tomorrow, creating the pathway of how technology can enable business visions. We help our clients with advisory services such as IT & cloud strategy, IT cost & governance, IT operating model etc. We also work on the implementation of various IT applications e.g. CRM, ERP and SharePoint. About the Role

Strategic Client Collaboration :

Collaborate with clients to align their business strategies with data-driven insights, ensuring that data science initiatives drive measurable business outcomes. Expertise-Driven Insight Delivery :

Leverage deep expertise in data science and machine learning to deliver strategic business insights that facilitate successful integration of AI across diverse industries. Lead data readiness assessments and solution blueprinting, driving complex data analytics initiatives and cloud computing solutions. Client Engagement and Confidence Building :

Act as a key liaison during client engagements and strategic negotiations, offering expert guidance and building confidence in the organisation’s data science capabilities. Demonstrate a strong capability to help clients navigate their data investments with clarity, trust, and a focus on measurable returns. Technical-Functional Communication :

Experience of Applied AI and Technicality in AI (Traditional ML and GenAI) with the ability to clearly articulate to client leadership teams how the proposed solutions address either business problems or value creation. Growth and Opportunity Development :

Drive the growth of data science initiatives by identifying new opportunities, shaping data solutions, and securing high-value client engagements. Team Leadership and Strategic Partnerships :

Lead cross-functional teams to deliver innovative data solutions that align with business goals, fostering long-term partnerships and contributing to revenue expansion through trusted advisory and thought leadership. About You

Qualifications : Academic Background :

Bachelor's degree in Computer Science, Engineering, Business, or a related field. Advanced degrees (Master's, PhD) in AI, Machine Learning, or Business Administration are preferred. Certifications :

Desirable certifications in AI / ML and project management. Professional Experience and Skills : Experience :

Over 10 years of progressive experience in data science and advanced analytics, showcasing leadership in enterprise environments. Technical Expertise :

Deep knowledge in data science and machine learning methodologies, including statistical modelling, predictive analytics, and data mining for impactful project implementation. Strategic Implementation :

Demonstrated ability to develop and execute data science strategies, delivering innovative solutions to address industry-specific challenges. Communication and Leadership : Stakeholder Engagement :

Exceptional ability to articulate complex data science concepts to both technical and non-technical audiences, influencing and engaging C- level stakeholders in data-driven transformations. Commercial Acumen :

Strong record of client trust building, strategic engagements, and contributing to revenue growth, with a history of achieving sales targets and client success. Team Leadership :

Proven experience in leading cross-functional teams, mentoring data science talent, and fostering innovation through collaboration. Ethics and Industry Knowledge : Ethical Practice :

Familiar with ethical data frameworks and responsible data practices, ensuring alignment with societal standards and emerging trends in AI. Industry Insight :

Desirable knowledge of financial services industry, including core banking architecture, lending, KYC, and compliance, to enhance industry-specific solutions. Role Details

Seniority level :

Mid-Senior level Employment type :

Full-time Job function :

Accounting / Auditing and Information Technology Industries :

Accounting and Professional Services

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