Data Scientist, AI & Data - Senior Manager / Manager

Data Scientist, AI & Data - Senior Manager / Manager

EY Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia Data Scientist, AI & Data - Senior Manager / Manager role at EY. This is a full-time position in EY AI & Data in Malaysia. 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. 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 Familiarity with relational databases (SQL) and cloud-based data architecture (e.g., AWS, Azure) Excellent stakeholder management, communication, and presentation skills Strong analytical thinking and structured problem-solving skills A degree in Computer Science, Data Science, AI, Physics, Mathematics, or related fields Ideally, You’ll Also Have

Consulting experience, including direct client engagement and project leadership Experience with NLP libraries, frameworks, and Large Language Models (LLMs) Exposure to end-to-end project delivery in Agile, SDLC, or hybrid methodologies Familiarity with cloud platforms such as AWS or Azure Knowledge or background in data engineering is a plus What We Look For

Experience leading high-performing teams on AI, Advanced Analytics, Business Intelligence, Data Warehousing, or Big Data projects Strong client management and consulting experience Passion for innovation, continuous learning, and mentoring others What We Offer

EY offers a competitive remuneration package that reflects your experience and performance. We are committed to inclusivity and support flexible working arrangements through our FWA Policy. Continuous learning – Build future-proof skills with a focus on growth and innovation Success as defined by you – Flexible career paths and work arrangements that suit your goals Transformative leadership – Coaching, feedback, and learning opportunities to lead with confidence Inclusive culture – A supportive team environment where your voice and impact matter If you meet the criteria above, we encourage you to apply. The exceptional EY experience. It’s yours to build. Apply now. Seniority level

Mid-Senior level Employment type

Full-time Job function

Engineering and Information Technology Industries

Professional Services

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