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Ernst & Young

Global professional services: consulting, assurance, tax

Data Scientist - GenAI, Experienced Hire

Natural Language Processing & LLMsConfirmed live in the last 24 hours
Full-timeKuala Lumpur, Federal Territory of Kuala Lumpur, MalaysiaNo salary listed

About the Job

Requirements

  • A Bachelor's or Master's degree in Data Science, Computer Science, Engineering, Statistics, Mathematics, or a related field is required; a PhD is a plus.
  • For Senior Associate, a minimum of 2+ years of hands-on experience in data science or AI projects is required.
  • For Manager to Senior Managers, 6+ years of experience and a proven track record of project leadership, client engagement, and team management are required.
  • Demonstrated experience applying both traditional machine learning and Generative AI in real-world business use cases is required.
  • 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 Generative AI models using frameworks such as LangChain or LlamaIndex, or integrating APIs from OpenAI, Azure OpenAI, or other foundation model providers.
  • Solid understanding of natural language processing, deep learning, and data modeling techniques.
  • Familiarity with cloud platforms such as Azure, AWS, or GCP, and containerized deployments using Docker or Kubernetes.
  • Excellent communication and stakeholder engagement skills.
  • Experience working with large language models and/or vector databases is a strong advantage.
  • Experience engaging with technical and non-technical stakeholders.
  • Strong consulting experience and background, including direct client engagement.
  • Team management experience on Advanced Analytics, Business Intelligence, Data Warehousing, or Big Data projects.

Responsibilities

  • Lead 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 large language models, for text summarization, content generation, document intelligence, and chatbots.
  • Guide clients in adopting AI and machine learning strategies, including responsible use of Generative AI in business processes.
  • Build and manage reusable machine learning 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, machine learning, and Generative AI technologies, tools, and best practices.
  • Present findings and insights clearly to business and technical audiences.

Desired Qualifications

  • Certifications in AI or machine learning, such as Azure AI Engineer Associate or AWS Machine Learning Specialty.
  • Experience with responsible AI practices, explainability, and AI ethics.
  • Previous consulting or client-facing experience, ideally in cross-industry engagements.

About the Company

Ernst & Young

Global professional services: consulting, assurance, tax

EY (Ernst & Young) provides professional services at a global scale, offering consulting, assurance, tax, and transaction advisory services. It serves clients across industries such as technology, media, real estate, hospitality, and construction. Instead of selling a single product, EY works with clients through tailored engagements where cross-disciplinary teams analyze challenges, design strategies, perform audits, help with tax planning, and assist with mergers or divestitures. What sets EY apart is its worldwide reach and integrated service model, industry-specific expertise, and focus on responsible business practices like sustainability, cybersecurity, and workforce flexibility. EY’s goal is to help organizations improve performance, manage risk, and achieve sustainable growth while building a better working world.

Company size
5,001-10,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Boston, MA
Founded
1991

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