The Role 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.

Key Responsibilities

• 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 visualizations 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 programs and decision-making processes.

Skills & Attributes For Success

As a Senior Consultant – Sustainability Data Scientist, you would be expected to play a key role in the delivery of technical work. It is desirable that you bring the competencies that will allow you to do this, such as:

• Strong programming skills in Python (pandas, NumPy, scikit-learn), plus familiarity with R, SQL, and data visualization 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:
  • Utilization 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.
  • Utilization of IFRS S1 and S2, GRI, TNFD (amongst others) frameworks.

Qualifications

We welcome applicants from a wide range of backgrounds, but are particularly interested in individuals that have the following qualifications:

• At a minimum, Degree in Data Science, Computer Science, Engineering, 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.