Associate, AI Data Scientist (Singapore)

Singapore, SG, 018983

Actively hiring, first seen by us 7 days ago

Pay: Pay not listed
Work setting: Not stated
Employment: Not stated

What you’ll work on

Full posting

Skills, experience, qualifications, and knowledge required:

Proven experience developing and fine-tuning models using LLMs, diffusion models, and transformer architectures.

Design and develop generative AI models for text, image, code and multimodal uses
Build and optimize retrieval-augmented generation (RAG) systems
Translate business requirements into generative AI technical solutions
Develop custom evaluation metrics for domain-specific generative tasks
Work with Nomura's businesses on their information and analytics adoption roadmaps

From the employer’s posting

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.

Design and develop generative AI models for various applications (text, image, code, multimodal)

Build and optimize retrieval-augmented generation (RAG) systems

Translate business requirements into generative AI technical solutions

Develop custom evaluation metrics for domain-specific generative tasks

work with all of Nomura’s businesses in laying out their information & analytics adoption roadmaps

What you’ll bring

All qualifications

Core experience

Experience of working with a multi-cultural, multi-disciplined, globally dispersed teams

Qualification wording

Experience of working with a multi-cultural, multi-disciplined, globally dispersed teams

Education & alternatives

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

Apply at Nomura Holdings

Posting record

Report an error

Actively hiringFirst seen by us 7 days ago, still listed, and not a repost of an earlier posting.

Status in our records: Live
First seen by us: Oct 28, 20267 days ago
Recorded sightings: 13
Last seen by us: Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 7

Similar jobs usually come down between day 7 and day 55.

From 10,019 similar postings that came down. Coming down is not always a hire.

Nomura Holdings is hiring

8 open jobs

Open jobs by the week we first saw them, last 12 weeks.

13% of open jobs were reposted

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

Python
Shell
SQL
AWS
Kubernetes
Hugging Face
NumPy
pandas
scikit-learn
TensorFlow

Where the posting names them

- 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.

- 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

Core Skills requirement: - 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.

Upload resume Add LinkedIn

Your next step

Complete your application on careers.nomura.com. The employer’s form will show what is required.

Applying through SAP SuccessFactors

Images (.jpg) aren’t accepted as a resume.

Already applied? Track this application

Has Nomura Holdings posted this job before?

Yes. We’ve followed one other Associate, AI Data Scientist (Singapore) job there since September 2026. It is still up.

SingaporeStill up after 58 days, first seen Sep 8
This jobUp 8 days so far, first seen Oct 28

About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025: $120,230
Expected change, 2025 to 2035: 34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

Company overview

Nomura is a financial services group with an integrated global network. By connecting markets East & West, we service the needs of individuals, institutions, corporates and governments through our four business divisions: Wealth Management, Investment Management, Wholesale (Global Markets and Investment Banking) and Banking.

Driven by the insights of some 28,000 people worldwide, we put our clients at the center of everything we do, delivering unparalleled access to, from and within Asia. 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

Company overview

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 tasksBe 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:

Core Skills requirement:

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 inclusion and 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: 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

Source details