Data Scientist

EY AI & Data is the data and advanced analytics capability within EY Asia-Pacific, comprising over 500 specialists working across multiple industry sectors.

We implement information-driven strategies and systems that help grow, optimize, and protect client organizations. We go beyond strategy and deliver end-to-end implementation of real-life data environments, powered by some of the best technology architects, project managers, business analysts, data scientists, big data engineers, developers, and consultants in the region.

We are looking for Data Scientists at the Manager or Senior Manager level to join the AI & Data team in our Malaysia office. This is a full-time position.

Your Key Responsibilities

• Lead a team of data scientists and AI specialists across both technical and business workstreams

• Define project objectives, establish timelines, and manage end-to-end delivery of AI and data science solutions

• Engage stakeholders throughout the project lifecycle to ensure alignment, manage expectations, and provide regular updates

• Work closely with cross-functional teams and clients to identify data and AI opportunities that drive measurable business impact

• Serve as a thought leader in data science and AI, guiding team members and contributing to capability development

• Translate complex model behavior and technical insights into clear business recommendations and presentations

• Apply cutting-edge machine learning, deep learning, and NLP techniques to real-world business challenges

• Contribute to strategy, solution architecture, and delivery in a client-facing consulting environment

Skills and Attributes for Success

• Minimum 5 years of experience in a Data Science, Machine Learning, or AI role

• Proven experience in leading AI teams and delivering impactful AI or analytics projects

• Strong AI expertise; PhD in AI, Machine Learning, or a related field is preferable

• Proficient in Python and relevant libraries (e.g., pandas, scikit-learn, TensorFlow, NumPy)

• Experience in building and deploying machine learning models in production environments

• Proficient in developing and maintaining data pipelines to ensure quality and accessibility

• Strong understanding of machine learning algorithms, deep learning, and NLP