We're looking for two experienced data scientists to join a growing applied AI function at a leading financial institution in Singapore. This is a hands-on, individual-contributor role for someone who wants to build things that ship - not just prototype them - and who's as comfortable in front of business stakeholders as they are in a notebook.

What you'll do

Design, build and deploy applied AI and machine learning products - spanning traditional ML, broader data science methods, and generative AI - aimed at solving concrete problems for business teams
Sit down directly with business users to understand their pain points, sharpen the problem statement, and identify where a data or AI solution actually moves the needle
Translate between technical and business language fluently in both directions - explaining model behaviour to non-technical stakeholders, and translating vague business asks into a workable technical brief
Own your work from early experimentation through to production deployment, coordinating with engineering and product colleagues along the way
Contribute beyond your immediate build - through internal knowledge-sharing, upskilling sessions, and representing the team's work to stakeholders outside the function
Explore agentic AI approaches where they add genuine value to existing or new products, rather than as a box-ticking exercise

What you'll bring

Around 10 years of experience in data science, machine learning, or a closely related applied AI discipline, ideally in financial services or another complex, regulated environment
A track record of shipping models and products into production - this is not a research or prototype-only role
Solid grounding in generative AI, with agentic AI or multi-agent framework experience a strong plus
End-to-end comfort across the data science stack: data wrangling, modelling, evaluation, and communicating results
A business-outcomes mindset - you can speak as confidently about the impact of your work as you can about the tooling behind it
Strong stakeholder management skills, with genuine ease engaging senior business users directly

Senior Data Scientist (Applied AI)