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Health Data Scientist (Gen AI Agentic AI)

Reads like an AI Engineer role: building products on existing AI models.

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Work setting
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What you’ll work on

Full posting
  • Lead development of GenAI and multimodal, multi-agent solutions for digital health tools

  • Design interactive analytical frameworks for governed analysis of real-world and clinical data

  • Set up testing and monitoring to ensure accuracy and reliability of generative and agentic systems

  • Communicate insights and recommendations to internal and external stakeholders

From the employer’s posting
You will lead the development of GenAI and multimodal, multi-agent solutions
design interactive analytical frameworks for the governed analysis of real-world and clinical data
establishing robust testing and monitoring processes to ensure the accuracy, reliability, and performance of generative and agentic systems
effectively communicating insights, outcomes, and recommendations to a diverse range of stakeholders
Apply at Danone

Posting record

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Status in our records
Live
First seen by us
Sep 4, 202670 days ago
Recorded sightings
140
Last seen by us
Nov 13, 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 70

Similar jobs usually come down between day 4 and day 77.

Well past Danone’s usual: its jobs come down by about day 19.

From 51 similar postings that came down, and 55 of Danone’s. Coming down is not always a hire.

Danone is hiring

22 open jobs

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

  • Hiring at a steady pace
  • Takes jobs down quickly
Hiring record

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Demand for AI Engineer roles

New AI Engineer postings at the employers we follow are up 134% over the last 6 weeks compared with the 6 before.

Weekly new AI Engineer postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 7, the most 65, and the latest week had 65.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under AI Engineer, by the work the posting describes.

AI engineers build products on top of AI models that already exist, most often large language models: they connect a model to a company's data and tools and ship the assistants, agents and search features people use.

Postings ask for strong Python or TypeScript, experience with model APIs, retrieval and agent frameworks, and ways to test whether the model's answers are good enough.

An ML engineer trains and serves models; an AI engineer usually starts from a model someone else trained and builds the product around it, though titles often mix the two.

Job description

View original posting ↗

About The Job The Health Data Science Team in Singapore collaborates with multiple global teams to deliver critical capabilities in machine learning (ML), advanced analytics, disease modeling, and the development of data assets and infrastructure. The team specializes in building ML models using multimodal data sources, including structured data, free text, images, video, and audio, to power digital health solutions that facilitate real-world and clinical data capture. In addition, the team is responsible for developing and maintaining governed data platforms, pipelines, and assets that support large-scale real-world and clinical data analytics. To support its growing portfolio, the team is seeking Health Data Scientists who will contribute to a diverse range of projects spanning multiple health and technological domains. What will you be doing in this role? In this role, you will collaborate with internal and external stakeholders globally on multiple initiatives involving digital health solutions, real-world evidence, and clinical data. You will lead the development of GenAI and multimodal, multi-agent solutions leveraging text, image, audio, and video capabilities to support digital health tools. In addition, you will design interactive analytical frameworks for the governed analysis of real-world and clinical data, while establishing robust testing and monitoring processes to ensure the accuracy, reliability, and performance of generative and agentic systems. You will also be responsible for effectively communicating insights, outcomes, and recommendations to a diverse range of stakeholders within Danone and across external partner organizations. About You To be successful in this role you will need …  Technical Skills & Experience • Master’s or Ph.D. degree in a relevant technical discipline. • Strong expertise in deep learning and proficiency with at least one leading deep learning framework. • Experience developing and managing MLOps pipelines and end-to-end machine learning lifecycles. • Hands-on experience with multimodal Generative AI technologies, including VAEs, GANs, diffusion models, Vision Transformers (ViT), Swin Transformers, large language models (BERT, GPT), fine-tuning techniques, LoRA, knowledge distillation, and vision-language models. • Proven experience designing and implementing multi-agent systems, including memory architectures, vector databases, RAG, reasoning and planning agents, tool integration, MCP, agent orchestration frameworks, guardrails, reinforcement learning, and automated evaluation mechanisms. o Experience with Agent Bricks is advantageous. o Experience with Strands Agents is advantageous. • Strong project management capabilities, including scope definition, resource planning, timeline management, and success measurement. o Familiarity with Agile methodologies such as Scrum and Kanban is highly desirable. • Experience working with cloud platforms, particularly AWS and/or Azure. • At least 5 years of experience in Data Science within the healthcare, life sciences, or digital health sector. Soft Skills • Strong stakeholder management and collaboration capabilities across cross-functional and global teams. • Ability to translate business challenges into actionable data science and AI initiatives. • Excellent communication skills, with the ability to present complex scientific and technical concepts to non-technical audiences in a clear and compelling manner. About Us Focus on development – your way With a suite of learning opportunities and a strong focus on in-role development, your line manager will work closely with you to help unlock your career ambitions within Danone. Working here you will enjoy a fast-paced, complex environment, which is packed with opportunities for the entrepreneurial spirit. You’ll work with some of the best-known brands in the world, such as evian, Dumex and Aptamil, and we absolutely guarantee that you can just be yourself. Our values We live by our core ‘HOPE’ values – H is for Humanism, as people are at the heart of everything we do. O is for Openness, welcoming new ideas from the world we live in. P is for Proximity, as we believe that building close relationships leads to better understanding and trust. E is for Enthusiasm, for those who are as passionate as we are about bringing health through food to as many people as possible. Diversity and Inclusion is deeply embedded in Danone's DNA, representing our core values and beliefs. We embrace diversity as a driving force for positive change, nurturing an inclusive workplace where every individual is valued. Join our movement for a healthier world. One Planet One Health BY YOU. For more information about Danone, our divisions and culture, please visit careers.danone.com. #LI-DPS
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Singapore, SG

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