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Salary
≈ $21k – $55k per year (Estimated)
Location
In office (Kuala Lumpur)
Seniority
Senior · 6+ years exp

Confirmed on the employer's own hiring board on Oct 19, 2026. First seen by Alion on Oct 13, 2026.

Overview
Company
Impact
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EY

Headquartered in London, United Kingdom, EY (Ernst & Young) is a multinational professional services network and one of the "Big Four" accounting firms. The organization provides financial assurance and auditing, tax advisory, management and technology consulting, and strategy and transactions advisory through its EY-Parthenon arm. Operating across more than 150 countries, it delivers risk management, digital transformation, data analytics, and regulatory compliance solutions to multinational corporations, financial institutions, and government entities worldwide.
Backed by ROPEA

EY’s AI & Data team is growing and seeking exceptional talent at multiple levels - from Senior Associate to Senior Managers - to help shape the future of data science and artificial intelligence in business. As part of our dynamic, multidisciplinary team, you'll be instrumental in designing and implementing AI-driven solutions, including Generative AI (GenAI), for clients across industries. Whether you are a technical expert or a strategic leader, this role offers the opportunity to drive innovation, create real-world impact, and build the future of intelligent enterprises.

We are seeking individuals who are passionate about solving complex business problems using AI/ML, including GenAI, and who are experienced in leading data science engagements from strategy to implementation. This is a full-time basis role and is based in our Kuala Lumpur, Malaysia office

Key Responsibilities:

  • Lead the delivery of end-to-end data science projects, including data acquisition, feature engineering, modeling, evaluation, and deployment.

  • Collaborate with stakeholders to understand business problems and translate them into analytical solutions.

  • Design and develop machine learning models, including generative models such as LLMs (e.g., GPT, Claude, LLaMA) for applications like text summarization, content generation, document intelligence, and chatbots.

  • Guide clients in the adoption of AI/ML strategies, including the responsible use of GenAI in business processes.

  • Build and manage reusable ML pipelines and support MLOps practices to operationalize models.

  • Mentor junior data scientists and contribute to capability building within the team.

  • Stay current with developments in AI/ML and GenAI technologies, tools, and best practices.

  • Present findings and insights in a clear, compelling way to business and technical audiences.

Skills and Attributes for Success:

  • Strong analytical and problem-solving skills with the ability to think strategically and act tactically.

  • Proficiency in Python or R, with hands-on experience using libraries such as Scikit-learn, PyTorch, TensorFlow, and Hugging Face Transformers.

  • Experience building and fine-tuning GenAI models using frameworks like LangChain, LlamaIndex, or integrating APIs from OpenAI, Azure OpenAI, or other foundation model providers.

  • Solid understanding of NLP, deep learning, and data modeling techniques.

  • Familiarity with cloud platforms (Azure, AWS, GCP) and containerized deployments (Docker, Kubernetes).

  • Excellent communication and stakeholder engagement skills.

To qualify for the role, you must have:

  • A Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, Statistics, Mathematics, or a related field. A PhD is a plus.

  • For Senior Associate: Minimum 2+ years of hands-on experience in data science or AI projects.

  • For Manager to Senior Managers: 6+ years of experience, with a proven track record of project leadership, client engagement, and team management.

  • Demonstrated experience applying both traditional ML and GenAI in real-world business use cases.

  • Experience working with large language models (LLMs) and/or vector databases is a strong advantage.

Ideally, you’ll also have:

  • Certifications in AI/ML (e.g., Azure AI Engineer Associate, AWS Machine Learning Specialty).

  • Experience with responsible AI practices, explainability, and AI ethics.

  • Previous consulting or client-facing experience, ideally in cross-industry engagements.

What we look for

  • Experience in engaging with both technical and non-technical stakeholders
  • Strong consulting experience and background, including engaging directly with clients
  • Team management on Advanced Analytics, Business Intelligence, Data Warehousing, Big Data projects

What we offer

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.

If you can demonstrate that you meet the criteria above, please contact us as soon as possible.

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

Apply now.

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