Senior Consultant - Sustainability Data Scientist - Risk Consulting

Senior Consultant - Sustainability Data Scientist - Risk Consulting - Doha

At EY in MENA, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. Join us and build an exceptional experience for yourself, and a better working world for all.

EY Sustainability helps organizations embed sustainability into their core strategy and operations. We leverage data, technology, and analytics to drive climate resilience, resource efficiency, and long-term value creation across the energy, infrastructure, finance and government sectors.

We are seeking a Senior Consultant - Sustainability Data Scientist passionate about sustainability and analytics. In this role, you will design and implement AI‑powered, data‑driven solutions that enable clients to make informed decisions on climate risk, sustainability/ESG performance, and sustainable transformation. You will work at the intersection of data science, business strategy, and sustainability.

• Data Engineering & Management:
  Collect, clean, and structure large datasets from diverse sources (e.g. internal systems, external APIs, ESG databases).
• Advanced Analytics & Modelling:
  Apply statistical methods, machine learning, and predictive modelling to extract actionable insights.
• Coding & Automation:
  Develop robust scripts and workflows using Python, R, SQL, and other languages for data processing and analysis.
• Visualization & Dashboarding:
  Build interactive dashboards and visualisations using tools (e.g. Power BI, Tableau, Plotly) to communicate insights effectively.
• Insight Generation:
  Translate complex data and AI outputs into clear recommendations for sustainability strategies, risk mitigation, and performance improvement.
• Collaboration:
  
  Work closely with consultants and clients to integrate analytics into transformation programmes and decision‑making processes.

• Strong programming skills in Python (pandas, Num Py, scikit‑learn), plus familiarity with R, SQL, and data visualisation libraries.
• Experience with data architecture, ETL processes, and cloud platforms (e.g. Azure, AWS, GCP).
• Ability to design predictive models and interpret outputs for business impact.
• Excellent communication skills to present technical insights to non‑technical stakeholders.
• Commercial awareness and ability to link analytics and AI to business value.
• Passion for sustainability topics.
• Demonstrable evidence of data science in the following would be viewed favourably:
  • Utilisation of physical climate models (e.g. data extraction from GCMs, RCMs, statistical downscaling).
  • Value chain GHG emissions, decarbonisation analysis.
  • Natural resource consumption, production and circulatory.
  • Utilisation of IFRS S1 and S2, GRI, TNFD (amongst others) frameworks.

• At a minimum, degree in Data Science, Computer Science, Engineering, or Statistics.
• Experience or qualifications in a sustainability‑related field would be highly advantageous.
• 2–6 years of experience in data analytics or data science roles, ideally within consulting or sustainability domains.
• Proven track record in building dashboards, performing advanced analytics, and delivering AI‑driven recommendations.

• Support and coaching from some of the most engaging colleagues around.
• Opportunities to develop new skills and progress your career.
• The freedom and flexibility to handle your role in a way that is right for you.

EY is committed to being an inclusive employer and we are happy to consider flexible working arrangements. We strive to achieve the right balance for our people, enabling us to deliver excellent client service whilst allowing you to build your career without sacrificing your personal priorities. While our client‑facing professionals can be required to travel regularly, and at times be based at client sites, our flexible working arrangements can help you to achieve a lifestyle balance.