AI & Data – Manager (Data Science & AI)

EY; Kampung Malaysia Tambahan; On-site; MYR 180,000 - 300,000; Full time

Benefits offered by this job

Continuous learning

Flexible working arrangements

Transformative leadership

Diverse and inclusive culture

Job summary

EY's AI & Data team is seeking a Manager (Data Science & AI) to lead end-to-end AI and data science engagements across industries from Kuala Lumpur, Malaysia. The role blends technical execution with client interaction and team leadership.

The ideal candidate will have 6+ years in data science/AI, strong Python skills, and hands-on experience with ML/DL, GenAI, and MLOps. You’ll work with cloud platforms and guide governance and responsible AI practices while delivering measurable business

Qualifications

• Bachelor’s or Master’s degree in Data Science, Computer Science, Artificial Intelligence, Statistics, Mathematics, Engineering, or a related field.
• 6+ years of experience in Data Science, Machine Learning, AI, or Advanced Analytics.
• Proven experience leading AI and data science projects from strategy through implementation.
• Hands-on experience in machine learning model development, evaluation, deployment, and monitoring.
• Experience delivering client-facing engagements, including stakeholder management and project leadership.
• Strong proficiency in Python and common AI/ML libraries (Scikit-learn, TensorFlow, PyTorch, Hugging Face).
• Experience with Generative AI technologies, including LLMs and foundation models.

Responsibilities

• Lead end-to-end AI and data science engagements from problem definition through deployment.
• Collaborate with clients and stakeholders to identify AI opportunities and solutions.
• Design, develop, and deploy machine learning and AI solutions addressing business challenges.
• Develop Generative AI applications using LLMs for intelligent search, document understanding, and virtual assistants.
• Design and implement Retrieval-Augmented Generation, prompt engineering, and vector search.
• Provide governance guidance on responsible AI and model risk management.
• Work with Data Engineering and Cloud teams to operationalize AI solutions and deployment pipelines.
• Manage project teams, mentor juniors, and contribute to capability development.
• Present findings and recommendations to technical and executive stakeholders.
• Support business development, proposals, and client workshops.

Skills

Python

AI/ML frameworks

Stakeholder management

MLOps

Generative AI

LLMs

Cloud platforms

Education

Bachelor’s or Master’s degree in Data Science/CS/AI/Statistics

Tools

Scikit-learn

TensorFlow

PyTorch

Hugging Face

SQL

Vector databases

Job description

EY's AI & Data team is looking for an experienced Manager (Data Science & AI) to help organizations unlock value from data and accelerate AI-driven transformation. As part of our Technology Consulting practice, you will lead the delivery of advanced analytics, machine learning, artificial intelligence (AI), and Generative AI (GenAI) solutions for clients across various industries.

You will work closely with business stakeholders, data engineers, architects, and technology teams to solve complex business problems through innovative AI and data science approaches. This role provides the opportunity to combine technical expertise, client engagement, and team leadership while shaping the future of intelligent enterprises.

We are seeking individuals who are passionate about solving complex business challenges through Data Science, Machine Learning and Generative AI technologies. This is a full-time role based in our Kuala Lumpur, Malaysia office.

Key Responsibilities:

• Lead the delivery of end-to-end AI and data science engagements, from problem definition and solution design through deployment and adoption.
• Collaborate with clients and business stakeholders to identify opportunities for AI, machine learning, predictive analytics, and Generative AI solutions.
• Design, develop, and deploy machine learning models and AI solutions that address business challenges and generate measurable value.
• Lead the development of Generative AI applications leveraging Large Language Models (LLMs) for use cases such as intelligent search, document understanding, virtual assistants, content generation, and knowledge management.
• Design and implement Retrieval-Augmented Generation (RAG), prompt engineering, vector search, and AI agent solutions.
• Provide guidance on AI governance, responsible AI, model risk management, and ethical AI practices.
• Work closely with Data Engineering and Cloud teams to operationalize AI solutions through scalable architecture and deployment pipelines.
• Manage project teams, mentor junior team members, and contribute to capability development across the AI & Data practice.
• Present findings, insights, and recommendations to both technical and executive-level stakeholders.
• Support business development activities, proposal preparation, solutioning workshops, and client pursuits.

Skills and Attributes for Success:

• Strong analytical, critical thinking, and problem-solving skills.
• Proven ability to engage stakeholders and translate business requirements into AI-driven solutions.
• Strong programming skills in Python and experience with AI/ML development frameworks.
• Experience developing and deploying machine learning, deep learning, and Generative AI solutions in enterprise environments.
• Strong understanding of model lifecycle management, MLOps, and production deployment considerations.
• Knowledge of emerging AI technologies, trends, and industry best practices.
• Excellent communication, presentation, and stakeholder management skills.
• Ability to manage multiple client engagements and deliver high-quality outcomes in a fast-paced environment.

To qualify for the role, you must have:

• A Bachelor's or Master's degree in Data Science, Computer Science, Artificial Intelligence, Statistics, Mathematics, Engineering, or a related field.
• Minimum 6+ years of experience in Data Science, Machine Learning, Artificial Intelligence, or Advanced Analytics.
• Proven experience leading AI and data science projects from strategy through implementation.
• Hands-on experience in machine learning model development, evaluation, deployment, and monitoring.
• Experience delivering client-facing engagements, including stakeholder management and project leadership.
• Strong proficiency in Python and common AI/ML libraries such as Scikit-learn, TensorFlow, PyTorch, and Hugging Face.
• Experience with Generative AI technologies, including LLMs and foundation models.

Technical Experience:

• Machine Learning and Predictive Analytics
• Statistical Modelling and Advanced Analytics
• Natural Language Processing (NLP)
• Generative AI and Prompt Engineering
• Retrieval-Augmented Generation (RAG)
• AI Agents and Intelligent Automation
• Vector Databases and Semantic Search
• MLOps and Model Lifecycle Management
• Python, SQL and Data Science Tooling
• Cloud AI Platforms (Azure, AWS, or Google Cloud)

Ideally, you'll also have:

• Experience with Azure OpenAI Service, Azure AI Foundry, AWS Bedrock, Google Vertex AI, or equivalent AI platforms.
• Experience implementing Responsible AI frameworks and AI governance controls.
• Professional certifications such as:
• Prior consulting or professional services experience.
• Experience leading teams and mentoring junior professionals.

What we look for

• Experience engaging with both technical and business stakeholders across multiple organizational levels.
• Strong consulting experience and the ability to work directly with clients to solve complex business challenges.
• Demonstrated leadership in delivering AI, data science, analytics, or digital transformation initiatives.
• Ability to lead multidisciplinary teams comprising Data Scientists, Data Engineers, AI Engineers, and Solution Architects.
• Passion for innovation and emerging AI technologies, with a focus on creating measurable business impact.

EY offers a competitive remuneration package commensurate with your work experience where you'll be rewarded for your individual and team performance. We are committed to being an inclusive employer and are happy to consider flexible working arrangements, where this may be needed, guided by our FWA Policy.

Plus, we offer:

• Continuous learning: You'll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We'll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We'll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You'll be embraced for who you are and empowered to use your voice to help others find theirs.

The exceptional EY experience. It's yours to build.