Sustainability & AI - Consulting Assistant

Location: Luxembourg
Other locations: Primary Location Only
Salary: Competitive
Date: Sep 4, 2026
Job description
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Requisition ID: 1742305
At EY, we’re all in shape to your future with confidence.

We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.
Join EY and help to build a better working world.

The opportunity

At EY, we help organizations navigate sustainability challenges while leveraging emerging technologies to create long\-term value. As a Sustainability \& AI Consultant, you will support clients in transforming their sustainability strategies, ESG reporting, climate risk management, sustainable finance, and decarbonization initiatives through data\-driven and AI\-enabled solutions. EY's sustainability teams support organizations on ESG strategy, decarbonization, sustainable finance, reporting, and regulatory compliance, while EY increasingly leverages data, advanced technologies to drive client transformation.
This role is ideal for candidates with a strong interest in sustainability and technology who are eager to develop innovative AI\-powered solutions supporting ESG and sustainable finance challenges.

Your key responsibilities

You will support sustainability and digital transformation projects for leading financial institutions, asset managers, corporates, and public\-sector organizations by:

• Support clients in ESG transformation, sustainability strategy, reporting, and value creation initiatives.


• Contribute to projects covering CSRD/ESRS, EU Taxonomy, SFDR, EBA guidelines, climate risk, net\-zero strategies, and carbon footprint assessments.


• Analyze and manage sustainability data, perform data quality reviews, and identify automation opportunities.


• Support the development of AI\-enabled sustainability solutions, dashboards, analytics tools, and reporting platforms.


• Research emerging sustainability regulations, market trends, and AI developments.


• Collaborate with multidisciplinary teams, including sustainability experts, sector specialists, and the Digital Factory.


• Contribute to EY thought leadership and innovation initiatives in Sustainability and AI.

• Master's degree in Sustainability, Environmental Sciences, Engineering, Finance, Economics, Data Science, Computer Science, or a related field.


• Passionate and curious about sustainability and emerging technologies.


• Strong communicators able to translate complex concepts into practical recommendations.


• Knowledge of sustainability frameworks and regulations is an advantage (CSRD, ESRS, SFDR, EU Taxonomy).


• Familiarity with data analytics tools such as Power BI, Excel, Python, SQL, or similar.


• Basic understanding of Generative AI and Machine Learning concepts.


• Fluency in English; French and/or German would be considered an asset.

At EY, we’ll develop you with future\-focused skills and equip you with world\-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more.

Are you ready to shape your future with confidence? Apply today.

To help create the best experience during the recruitment process, please describe any disability\-related adjustments or accommodations you may need.

EY \| Building a better working world

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.

Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi\-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

Our offer of employment is contingent upon the successful completion of a background check and pre\-screening requirements. The candidate acknowledges that all information provided must be accurate.

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