[Hybrid/Remote] Data Scientist - Generative AI (Good English) - Upto 60M

We’re looking for Data Scientist specialized in Generative AI with ambition, resilience and passion for healthcare, insurance, wellness and digital technology. As a fast-growing business with the ambition of making people and communities across Asia healthier, we have exciting career opportunities available to help us achieve our vision.

The client is a leading health technology and analytics organisation, providing our customers with integrated solutions to improve outcomes for individuals and the sustainability of health systems. They aim to be a trusted custodian of Asia's largest repository of health data, unifying financial, clinical, operational and behavioural data to empower their customers with insights that highlight opportunities to deliver better value and care outcomes. The vision is to be a leading digital health technology and integrated solutions business.

If you are a passionate and innovative individual who thrives in a collaborative environment, where courage is celebrated, and customer focus is paramount, we invite you to join our team. Together, we will shape the future with our unwavering commitment to excellence and the determination to make a lasting impact in the industry.

Key Skills & Experience

- Overall Experience: 4+ years of overall experience in Data Science/AI, including hands-on experience in developing and deploying Generative AI and NLP solutions.

- GenAI & NLP Expertise: Proven experience in developing GenAI solutions, including 2+ years of hands‑on prompt engineering and building end‑to‑end GenAI workflows. Strong background (5+ years) in NLP, Transformers, and deep learning models.

- Business Problem Solving: Strong business understanding and acumen with the ability to translate complex business problems into effective AI/DS solutions and deliver measurable impact.

- Technical Proficiency: Excellent command of Python and PySpark is mandatory, with strong experience in production‑grade model development.

- Communication & Collaboration: Effective verbal and written communication skills, with the ability to clearly explain complex technical concepts to business and technical stakeholders.

- Advanced AI Capabilities (Plus): Ability to independently drive LLM or RAG, GenAI, Agentic AI, and NLP use cases, including end to end model development and application in real business scenarios.

- Domain Experience (Plus): Prior experience in the healthcare domain is highly desirable.

- Language: Good at English in communication skills including oral and written

* Keywords: Azure, AI Engineer, Generative AI, NLP, Database-oriented system

BENEFITS

OPPORTUNITIES AND CHALLENGES:

• Opportunity to work in a professional, modern and energizing setting.
• Challenging projects, possibilities, cutting-edge technology, and problems.
• An open and dynamic working atmosphere that promotes the interchange of ideas, while also empowering you to work and create in your own style. Each employee's talent and accomplishments are valued, and outstanding employees are recognized and rewarded on a yearly basis.
• Opportunities for capacity development, as well as assistance with professional certification expenses, are available to those who work in the field (1 million - 5 million).
• Some advanced certifications will cover the full cost of studying and taking the exam.

ATTRACTIVE REWARDING POLICY AND WORK-LIFE BALANCE:

• Review salary 1-2 times/year, with the possibility of an unexpected salary rise based on capacity an infinite number of times per year
• Policy for 13th-Month Salary Bonus and Holiday Bonuses According to Company Regulations.
• Holiday travel mode (package 5-7 million/person), team building,...
• Full participation in social insurance, as well as a yearly health checkup at a reputable hospital.
• Comprehensive visit policy for personnel and relatives: birthday, marriage, childbirth, illness, etc.
• The football club, cycling car, badminton, picklepall,... are just a few of the sports and cultural activities available.
• Allowance for classes and training awards: Learning Star of the Month
• A chance to be the face of the year's study, the royalties...

Location: Hanoi (Prefer candidate in Hanoi)

Workplace type: Hybrid/Remote

Working time: 8h30 am - 5h30 pm, Monday to Friday

CONTACT AND APPLICATION

If you find this position a good fit for you, please send your application or reach out directly for more details:

• Email: lienttb2@vmogroup.com
• Phone (Zalo): 0981108599 (Phuong Lien)