AI and Data Science Leader

3 days ago

Singapore beBeeDataScience Full time $150,000 - $250,000
Job Title

Data Science & AI Professional

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    Job Description:

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The Chief Data Office plays a pivotal role in shaping and implementing the firm's data, cloud, and AI strategy. This includes driving change through these capabilities, enforcing data, cloud, and AI governance for the firm, and elevating Nomura's data culture.

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A key focus area is governance, with the Chief Data Office partnering with Business and Corporate functions to ensure that the firm's data assets are managed in line with the firm's data management framework, policy, and standards.

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    Key Responsibilities:

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  • Apply advanced analytics and AI/ML techniques to enhance and automate Data, Cloud, and AI controls.
  • Develop and optimize AI/ML models, ensuring model accuracy, scalability, and performance.
  • Establish best practices and techniques for model evaluation, testing, and upgrades.
  • Collaborate with cross-functional teams, including data engineers, software developers, and subject matter experts, to ensure seamless integration of data science and AI solutions.
  • Design, develop, and build end-to-end solutions using AI/ML models, following SDLC standards, including data integration, application security, and scalable design.
  • Communicate effectively with stakeholders articulating risks, benefits, and controls for data, cloud, and AI.
  • Stay up-to-date with the latest advancements in data science, machine learning, and AI technologies, and continuously improve existing solutions.
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    Requirements:

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To be successful in this role, you will require:

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  • A Master's degree in Data Science, Computer Science, Information Systems, Economics, Operations Research, or a similar field of study.
  • At least 10 years of relevant experience in data and analytics roles.
  • Expertise in machine learning algorithms, statistical modeling, and deep learning, ensuring model accuracy, scalability, and performance.
  • Hands-on experience in building and managing model pipelines for testing, training, and deployment.
  • Experience with cloud platforms (AWS, GCP, or Azure) and MLOps tools.
  • Proficiency with handling unstructured problems, managing complex structured, semi-structured, and unstructured data.
  • Ability to evaluate models, test for responsible/ethical AI frameworks, and apply controls to manage AI risk.
  • Excellent collaboration and communication skills to work effectively with cross-functional teams.
  • Knowledge of SDLC standards, including data integration, application security, and scalable design.
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    Benefits

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This role offers a competitive compensation package, comprehensive benefits, and opportunities for professional growth and development.

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    Diversity Statement

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Nomura is committed to an employment policy of equal opportunities and is fundamentally opposed to any less favourable treatment accorded to existing or potential members of staff on the grounds of race, creed, colour, nationality, disability, marital status, pregnancy, gender, or sexual orientation.

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