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25

Biomedical Scientist jobs in Malaysia

Data Scientist Specialist

Zurich 56 Company Ltd

Kuala Lumpur
On-site
MYR 60,000 - 80,000
Today
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HR Analyst - German Speaker

APAC Michael Page

Malaysia
On-site
MYR 60,000 - 80,000
Yesterday
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Senior UX Researcher

DKSH Malaysia Sdn Bhd

Kuala Lumpur
On-site
MYR 80,000 - 120,000
3 days ago
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Senior Manager | Data Scientist (Data & Analytics)

EPF Malaysia

Petaling Jaya
On-site
MYR 150,000 - 200,000
3 days ago
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Data Scientist

X-FAB

Kuching
On-site
MYR 60,000 - 80,000
3 days ago
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Research Associate

EMIR Research

Kuala Lumpur
On-site
MYR 60,000 - 80,000
3 days ago
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Data Scientist

Confidential Jobs

Selangor
On-site
MYR 80,000 - 120,000
3 days ago
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Data Scientist

Hunters International Sdn Bhd

Kuala Lumpur
On-site
MYR 60,000 - 80,000
7 days ago
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Data Scientist

Hunters International Sdn Bhd

Petaling Jaya
On-site
MYR 200,000 - 250,000
7 days ago
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Data Scientist in Kuala Lumpur

Bridge.com.sg

Kuala Lumpur
On-site
MYR 200,000 - 250,000
8 days ago

Data Scientist (Python, Problem Solving , Machine Learning)

Mercedes-Benz Malaysia

Puchong
Hybrid
MYR 90,000 - 120,000
9 days ago

Data Scientist II

Asia Digital Engineering (ADE)

Sepang
On-site
MYR 80,000 - 120,000
11 days ago

Junior/Senior Data Scientist/ Artificial Intelligence

TM Research & Development

Cyberjaya
On-site
MYR 80,000 - 120,000
11 days ago

Data Engineer/ Research Associate

RiDiK (a Subsidiary of CLPS. Nasdaq: CLPS)

Penang
On-site
MYR 60,000 - 100,000
11 days ago

Data Scientist I

Jabil

Bayan Lepas
On-site
MYR 80,000 - 120,000
14 days ago

Data Science Researcher

RiDiK (a Subsidiary of CLPS. Nasdaq: CLPS)

Penang
On-site
MYR 150,000 - 200,000
14 days ago

Clinical Research Associate

Dexcom

George Town
On-site
MYR 167,000 - 252,000
14 days ago

IT Innovation Manager

Etika Group of Companies

Petaling Jaya
On-site
MYR 100,000 - 150,000
10 days ago

Energy Research Analyst

B.Grimm

Kuala Lumpur
Hybrid
MYR 60,000 - 80,000
15 days ago

APAC Marketing Research Associate

Jobstreet by SEEK

Kuala Lumpur
On-site
MYR 40,000 - 60,000
16 days ago

Regulatory Scientist

Kerry

Kuala Lumpur
On-site
MYR 40,000 - 50,000
17 days ago

Research Associate

Fairview International School

Kuala Lumpur
On-site
MYR 40,000 - 60,000
19 days ago

Senior Data Scientist

SEEK

Kuala Lumpur
On-site
MYR 80,000 - 120,000
19 days ago

Data Scientist

Western Digital

Petaling Jaya
On-site
MYR 200,000 - 250,000
20 days ago

Data Scientist Lead - L1

Wipro Limited

Kuala Lumpur
On-site
MYR 150,000 - 200,000
29 days ago

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Similar jobs:

Data Scientist jobsBiomedical jobs
Data Scientist Specialist
Zurich 56 Company Ltd
Kuala Lumpur
On-site
MYR 60,000 - 80,000
Full time
Yesterday
Be an early applicant

Job summary

A leading data analytics firm in Kuala Lumpur is seeking an experienced Data Scientist to deliver insights and develop innovative statistical models. The ideal candidate will have expertise in pattern recognition, predictive modeling, and generative AI. This role involves collaboration across teams, using various AI technologies to enhance business processes. Candidates with 3+ years of experience and strong programming skills are encouraged to apply.

Qualifications

  • 3+ years of experience in data science.
  • Advanced experience in generative AI including LLMs.
  • Hands-on experience with LLM frameworks.

Responsibilities

  • Serve as data strategist to integrate new datasets.
  • Execute analytical experiments.
  • Analyze data for trends and patterns.

Skills

Data mining
Predictive modeling
Pattern recognition
Analytical mind
Problem-solving aptitude
Communication skills

Education

BSc/BA in Computer Science or Engineering
Graduate degree in Data Science

Tools

R
SQL
Python
Power BI
Hugging Face Transformers
Azure Stack
Job description

At Zurich, we rely on insightful data to power our systems and solutions. We’re seeking an experienced data scientist to deliver insights on a daily basis. The ideal candidate will have mathematical and statistical expertise, a natural curiosity, and a creative mind. While mining, interpreting, and cleaning our data, this person will be relied on to ask questions, connect the dots, and uncover hidden opportunities for realizing the data’s full potential. As part of a team of specialists, the data scientist will “slice and dice” data using various methods and create new visions for the future.

Objectives of this role
  • Collaborate with product design and engineering teams to develop an understanding of needs.
  • Research and devise innovative statistical models for data analysis, including advanced AI techniques such as LLMs and Agentic AI.
  • Communicate findings to all stakeholders.
  • Enable smarter business processes by using analytics for meaningful insights.
  • Keep current with technical and industry developments, especially in generative AI and autonomous agent systems.
Responsibilities
  • Serve as data strategist to identify and integrate new datasets that can be leveraged through our product capabilities, and work closely with the engineering team in the development of data products.
  • Execute analytical experiments to help solve problems across various domains and industries.
  • Identify relevant data sources and sets to mine for client business needs, and collect large structured and unstructured datasets and variables.
  • Devise and utilize algorithms and models to mine big-data stores; perform data and error analysis to improve models; clean and validate data for uniformity and accuracy.
  • Analyze data for trends and patterns, and interpret data with clear objectives in mind.
  • Implement analytical models/machine learning, including LLMs and agentic AI solutions, in production by collaborating with software developers and IT team.
  • Utilize Azure technologies like Azure Cognitive Technologies, Azure Machine Learning, and Azure Bot Services to design, create, and deploy AI-based applications.
  • Develop, fine-tune, and deploy large language models and agentic AI systems for automation, knowledge extraction, and conversational AI use cases.
  • Stay updated with the latest advancements in generative AI, prompt engineering, and autonomous agents.
Required skills and qualifications
  • Three or more years of experience in data science or proven experience.
  • Advanced experience in pattern recognition, predictive modeling, and generative AI (LLMs, transformers, etc.).
  • Hands‑on experience with LLM frameworks (e.g., Hugging Face Transformers, LangChain, OpenAI APIs).
  • Familiarity with agentic AI concepts and frameworks (e.g., AutoGPT, BabyAGI, CrewAI).
  • Ability to work effectively in a dynamic, research‑oriented group that has several concurrent projects.
  • Experience in data mining.
  • Understanding of machine learning, deep learning, and operations research.
  • Knowledge of R, SQL, and Python; familiarity with Scala, Java.
  • Experience using business intelligence tools (e.g., Power BI) and data frameworks (e.g., Azure, AWS, Hadoop, RDMS).
  • Analytical mind and business acumen.
  • Problem‑solving aptitude.
  • Excellent communication and presentation skills.
  • BSc/BA in Computer Science, Engineering, or relevant field; graduate degree in Data Science or other quantitative field is preferred.
  • Able to multitask and manage projects with minimal supervision.
  • Professional certification.

You are the heart & soul of Zurich!

At Zurich, we like to think outside the box and challenge the status quo. We take an optimistic approach by focusing on the positives and constantly asking What can go right?

We highly value the experience and know‑how of our employees and offer a wide range of opportunities across business areas to encourage you to apply for new opportunities within Zurich when you are ready for your next career step.

Let’s continue to grow together!

* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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