Health Data Scientist (Gen AI Agentic AI)

Danone; Singapore; Sur place; SGD 120 000 - 150 000; Plein temps

Résumé du poste

Danone in Singapore seeks a Health Data Scientist to advance GenAI and multimodal analytics across global teams. You will develop data assets and pipelines to support real-world and clinical health solutions and communicate insights to diverse stakeholders.

Ideal candidates bring deep learning, MLOps, and cloud experience, with 5+ years in healthcare data science and a proven track record in end-to-end machine learning lifecycles.

Qualifications

• Master’s or Ph.D. 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, ViT, Swin Transformer, LLMs, fine-tuning, LoRA, 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, agent orchestration frameworks, guardrails, RL, and automated evaluation mechanisms.
• Experience with Strands Agents and Agent Bricks is advantageous.
• Strong project management capabilities (scope, resources, timelines, success metrics).
• Familiarity with Agile methodologies (Scrum/Kanban) is desirable.
• Experience with cloud platforms, particularly AWS and/or Azure.
• At least 5 years of experience in Data Science within healthcare, life sciences, or digital health.

Responsabilités

• 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.
• Establish robust testing and monitoring processes for generative and agentic systems.
• Communicate insights and recommendations to Danone and external partners.

Connaissances

Deep learning

MLOps

Multimodal AI

Generative AI

Communication to stakeholders

Project management

Agile methods (Scrum/Kanban)

Cloud platforms (AWS/Azure)

Data science in healthcare

Formation

Master’s or Ph.D. in a relevant technical discipline

Outils

AWS

Azure

Vector databases

Vision Transformers (ViT)

Description du poste

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.
• Experience with Agent Bricks is advantageous.
• Experience with Strands Agents is advantageous.
• Strong project management capabilities, including scope definition, resource planning, timeline management, and success measurement.
• 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 as passionate as we are about bringing health through food..

Diversity and Inclusion

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..

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.

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