Data Scientist, AI & Data

Seeking a senior manager proficient in developing data pipelines and leading AI teams to deliver impactful projects. A PhD in AI or Machine Learning is preferred.

Last checked on September 18, 2026. We may earn a commission when you click through.

✓ Opportunity to lead innovative AI projects ✓ Work with a renowned global company ✓ Strong focus on data quality and accessibility

Data Scientist, AI & Data

Updated 1 day ago

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Kuala Lumpur

The position offers a solid opportunity for seasoned data scientists looking to advance their careers in AI project management. However, the lack of salary details may deter some candidates seeking transparency.

About this role

Seeking a senior manager proficient in developing data pipelines and leading AI teams to deliver impactful projects. A PhD in AI or Machine Learning is preferred.

About the Company

EY is a global leader in assurance, tax, transaction, and advisory services, committed to building a better working world.

Key Highlights

✓ Expertise in AI and data pipeline development
✓ Leadership experience in AI project delivery
✓ PhD in relevant fields preferred
✓ Focus on quality and accessibility of data
✓ Opportunity for impactful project leadership

💡 Honest Take: This role is ideal for experienced professionals with advanced AI knowledge and leadership skills.

Pros

✓ Opportunity to lead innovative AI projects
✓ Work with a renowned global company
✓ Strong focus on data quality and accessibility
✓ Ideal for candidates with a PhD

Cons

✗ No salary range provided
✗ Requires significant experience
✗ Limited remote work options

Best For: Ideal for senior-level candidates with a strong background in AI and data management.

Watch Out: Be mindful of the lack of information regarding salary and benefits, which could impact your decision.

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Expert Review

This role at EY is for those with extensive experience in AI and data management. Leading AI teams and overseeing significant projects can be a rewarding challenge. Candidates should be prepared for a hands-on approach to data pipeline development and quality assurance.

The position does not currently offer flexible remote work options, which may limit appeal for those preferring hybrid work environments. The requirement for a PhD is a clear indicator of the level of expertise expected, making it crucial for candidates to assess their qualifications before applying.

While the position promises growth and leadership opportunities, the absence of salary transparency is a notable drawback. Interested professionals should visit EY’s official site for further insights into company culture and potential benefits, ensuring alignment with personal career goals.