Data Scientist (GenAI), Experienced Hire at Ey Identity Asia Sdn. Bhd. (Fka Xynapse Asia Sdn. Bhd.)
Role Summary
Join Ey Identity Asia Sdn. Bhd. as a Data Scientist specializing in Generative AI, where you will utilize your expertise to drive data-driven decision-making and innovation. This role offers the opportunity to work on cutting-edge AI projects in a collaborative environment.
Job Description
Ey Identity Asia Sdn. Bhd. is seeking an experienced Data Scientist specializing in Generative AI. The ideal candidate will leverage advanced data analytics and machine learning techniques to drive innovative solutions and enhance decision-making processes within the organization. This role involves collaborating with cross-functional teams to develop and implement data-driven strategies that align with business objectives.
As a Data Scientist, you will be responsible for analyzing complex datasets, building predictive models, and presenting actionable insights to stakeholders. You will also contribute to the development of AI-driven products and services, ensuring they meet the highest standards of quality and performance.
Job Requirements
Bachelor's or Master's degree in Data Science, Computer Science, or a related field
Proven experience in data analysis, machine learning, and statistical modeling
Proficiency in programming languages such as Python or R
Familiarity with data visualization tools like Tableau or Power BI
Strong problem-solving skills and ability to work in a team-oriented environment
Excellent communication skills to convey complex data insights
Data Scientist (GenAI), Experienced Hire - Frequently Asked Questions
What is the salary for a Data Scientist (GenAI), Experienced Hire at Ey Identity Asia Sdn. Bhd. (Fka Xynapse Asia Sdn. Bhd.)?
Ey Identity Asia Sdn. Bhd. (Fka Xynapse Asia Sdn. Bhd.) has not disclosed the salary for this role. Data Scientist (GenAI), Experienced Hire positions typically pay RM600–RM10,000 per month, based on the 126 comparable vacancies currently listed on SuperJobs.
Where is this Data Scientist (GenAI), Experienced Hire job located?
This Data Scientist (GenAI), Experienced Hire position is based in Malaysia. This role is hybrid — part on-site, part remote.
What qualifications do I need for this Data Scientist (GenAI), Experienced Hire role?
Ey Identity Asia Sdn. Bhd. (Fka Xynapse Asia Sdn. Bhd.) is looking for Bachelor's or Master's degree in Data Science, Computer Science, or a related field; Proven experience in data analysis, machine learning, and statistical modeling; Proficiency in programming languages such as Python or R.
How do I apply for this Data Scientist (GenAI), Experienced Hire job at Ey Identity Asia Sdn. Bhd. (Fka Xynapse Asia Sdn. Bhd.)?
Apply directly on SuperJobs — create a free profile, upload your CV once and submit. There is no agency fee and no charge to applicants. Applications close 2026-11-29.
Quick Info
Company
Ey Identity Asia Sdn. Bhd. (Fka Xynapse Asia Sdn. Bhd.)
Location
Not specified
Salary
Undisclosed
Skills Required
7 skills
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Required Skills
Data Scientist (GenAI), Experienced Hire Salary at Ey Identity Asia Sdn. Bhd. (Fka Xynapse Asia Sdn. Bhd.)
Ey Identity Asia Sdn. Bhd. (Fka Xynapse Asia Sdn. Bhd.) has not disclosed the salary for this role. Data Scientist (GenAI), Experienced Hire positions typically pay RM600–RM10,000 per month, based on the 126 comparable vacancies currently listed on SuperJobs.
How to Apply for This Data Scientist (GenAI), Experienced Hire Role
- Click Apply Now and sign in, or create a free SuperJobs profile. It takes about two minutes and there is no agency fee.
- Upload your CV once and answer any screening questions Ey Identity Asia Sdn. Bhd. (Fka Xynapse Asia Sdn. Bhd.) asks. Your profile is reused for every application after this one.
- Submit, then track the application and any employer replies from your dashboard. Applications close 2026-11-29, so apply early.
Application Tips
- Ensure your resume highlights relevant skills and experience
- Tailor your application to match the role requirements
- Double-check all information before submitting
- Submit your application as soon as possible to increase your chances
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