Associate, AI Data Scientist (Singapore)

Nomura Holdings, Inc.; Singapore; On-site; SGD 80,000 - 110,000; Full time

Job summary

Nomura Holdings, Inc. is seeking an AI Data Scientist for their Singapore office. The successful candidate will play a crucial role in developing AI models and translating business needs into actionable insights. This position requires deep expertise in generative AI and the ability to work across multiple departments to drive data and analytics initiatives.

The ideal candidate holds a degree in a quantitative field and has significant experience in AI and data analytics, especially in financial services. You will be expected to collaborate effectively within a multi-cultural environment.

Qualifications

• Minimum of 5 years relevant data experience in data scientist/gen AI.
• Undergraduate degree in a quantitative field is required.
• Experience with programming languages like Python, SQL, and Unix shell scripting.

Responsibilities

• Develop and optimize AI models that create business value.
• Translate business requirements into technical AI solutions.
• Shape the analytics agenda and collaborate across teams.

Skills

LLMs

Python

Data Analysis

Cloud Technologies

DevOps

Microservices

Model Evaluation

Stakeholder Management

Education

Bachelor’s degree in quantitative fields

Tools

Hugging Face

AWS

Jenkins

Job description

Job Code: 12416

Country: SG

Skill Category: IT\Technology

Company Overview

Nomura is a global financial services group with an integrated network spanning approximately 30 countries and regions. By connecting markets East & West, Nomura services the needs of individuals, institutions, corporates and governments through its three business divisions: Wealth Management, Investment Management, and Wholesale (Global Markets and Investment Banking). Founded in 1925, the firm is built on a tradition of disciplined entrepreneurship, serving clients with creative solutions and considered thought leadership. For further information about Nomura, visit www.nomura.com

Job Title

AI Data Scientist

Corporate Title: Associate

Department: Group Technology

Location: Singapore

Licensed Role: No

Department Overview

The Intl AI CoE plays a key role in defining and implementing the firm’s AI strategy, driving change through these capabilities, enforcing data, cloud and AI governance for the firm, and elevating Nomura’s data culture.

Role Description

Information delivery & analytics. Deep expertise in data science with cutting‑edge generative AI technologies to develop, implement, and optimize AI systems that create meaningful business value. You will work at the intersection of research and application, turning complex data into intelligent generative solutions.

Model Development & Research: Design and develop generative AI models for various applications (text, image, code, multimodal). Research and implement novel approaches in prompt engineering, RAG systems, and model alignment. Stay current with latest research in generative AI, LLMs, and related fields.

Applied AI Solutions: Translate business requirements into generative AI technical solutions. Build and optimize retrieval‑augmented generation (RAG) systems. Develop custom evaluation metrics for domain‑specific generative tasks.

Be a trusted partner: Shape the information & analytics agenda at Nomura, and work with all of Nomura’s businesses in laying out their information & analytics adoption roadmaps.

Risk Mindset: Familiar with risk and controls frameworks and ability to operate with a control mindset.

Skills, Experience, Qualifications, and Knowledge Required

• Proven experience developing and fine‑tuning models using LLMs, diffusion models, and transformer architectures. Proficiency with frameworks such as Hugging Face, LangChain, or LlamaIndex.
• Working knowledge of Python libraries including pandas, NumPy, and scikit‑learn for data analysis and model development.
• Demonstrated understanding of generative AI techniques, including attention mechanisms, tokenization, and embeddings. Hands‑on experience applying prompt engineering, few‑shot, and in‑context learning for AI applications.
• Experience with model evaluation for generative performance, and working knowledge of responsible AI, bias mitigation, and safety frameworks. Familiarity with vector databases and semantic search systems.
• Proficiency in programming languages such as Python, SQL, and Unix shell scripting for AI and data engineering workflows.
• Experience designing, building, and deploying scalable and resilient microservices, including the development of efficient and secure server‑side APIs.
• Proven experience implementing CI/CD pipelines (e.g., Jenkins, GitLab) and applying DevOps methodologies to automate deployment and integration processes.
• Experience with cloud technologies such as AWS EC2, EMR or similar tools with ability to drive design and data model discussions, hybrid data architecture.
• Experience collaborating with cross‑functional and geographically dispersed teams across multiple regions to deliver AI/technology solutions.
• Proven ability to manage concurrent AI projects and meet delivery timelines in dynamic and fast‑changing environments.
• Experience managing stakeholder expectations of senior management.
• Proficiency in written and verbal communication skills, with the ability to document AI processes and present technical content clearly to both technical and non‑technical audiences.
• Demonstrated analytical and problem‑solving skills with experience deriving data‑driven insights and actionable recommendations.
• Experience evaluating business or technical requirements, identifying improvement opportunities, and proposing solutions that enhance system or business value.

Education and Experience

• At least 4‑year Bachelor’s degree in quantitative fields with minimum of 5 years of relevant data experience in data scientist /Gen AI, preferably in financial organizations or Masters in quantitative fields (Computer Science, Statistics or similar).
• Experience of working with a multi‑cultural, multi‑disciplined, globally dispersed teams.
• Professional certifications in AI/ML frameworks, cloud technologies, or DevOps tools (e.g., AWS Certified Machine Learning, TensorFlow, or Kubernetes) are advantageous.

Nomura Leadership Behaviours

• Explore Insights & Vision: Identify the underlying causes of problems faced by you or your team and define a clear vision and direction for the future.
• Making Strategic Decisions: Evaluate all the options for resolving the problems and effectively prioritize actions or recommendations.
• Inspire Entrepreneurship in People: Inspire team members through effective communication of ideas and motivate them to actively enhance productivity.
• Elevate Organizational Capability: Engage proactively in professional development and enhance team productivity through the promotion of knowledge sharing.
• Inclusion: Respect DEI, foster a culture of psychological safety in the workplace and cultivate a "Risk Culture" (Challenge, Escalate and Respect).

Diversity Statement

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.

Disclaimer

DISCLAIMER: This Job Description is for reference only, and whilst this is intended to be an accurate reflection of the current job, it is not necessarily an exhaustive list of all responsibilities, duties, skills, efforts, requirements or working conditions associated with the job. The management reserves the right to revise the job and may, at his or her discretion, assign or reassign duties and responsibilities to this job at any time.

Nomura is an Equal Opportunity Employer