Senior Data Scientist, Applied AI (2-year Contract)

Eames Consulting Group; Singapore; On-site; SGD 140,000 - 200,000; Full time

Job summary

Eames Consulting Group is building a central team to turn AI ambitions into usable business products. They seek an experienced data scientist to join as an individual contributor and help lead this build.

The role focuses on shipping applied ML and GenAI solutions, collaborating with stakeholders, translating problems into technical specs, and representing the team across the organisation.

Qualifications

• 10 years of experience in data science or applied ML.
• Shipping products, not just prototypes.
• Hands-on across traditional ML and GenAI techniques.
• Ability to explain business impact to non-technical stakeholders.

Responsibilities

• Design, build and ship ML products, from traditional ML to GenAI use cases.
• Collaborate with business stakeholders to understand problems and plan AI delivery.
• Translate technical approaches into business language for non-technical teams.
• Coordinate with DS, engineering and product management on shared deliverables.
• Represent the team in advocacy and cross-team knowledge sharing.

Skills

Data science

Applied ML

GenAI

Stakeholder communication

Job description

A growing organisation is building out a central team that sits between strategy and on-the-ground delivery, turning AI ambitions into products that the business actually uses. They’re looking for an experienced, hands-on data scientist to join as an individual contributor and help lead that build.

What you’ll be working on

• Design, build and ship applied data science and machine learning products, from traditional ML through to generative and agentic AI use cases
• Work directly with business stakeholders across the organisation to understand their problems, identify where AI can add real value, and translate that into a delivery plan
• Convert technical approaches into business language that non-technical stakeholders can act on, and convert business problems into technical specifications your team can build against
• Partner closely with data science, engineering and product management colleagues on shared deliverables, picking up overlapping work where needed
• Represent the team externally: contribute to internal advocacy, knowledge-sharing sessions and cross-team learning initiatives

What we’re looking for

• Around ten years’ relevant experience in data science or applied machine learning, with a track record of shipping products rather than prototypes
• Strong hands-on technical ability across traditional ML and modern GenAI techniques; exposure to agentic AI frameworks is an advantage
• A genuine interest in the business side of the work: you can explain impact in business terms, not just describe the tooling
• Comfortable working directly with non-technical stakeholders and representing your team’s work beyond your immediate function