Harnessing the Power of Data and AI: A Game-Changer in Combating the Climate Crisis - Part 2

Welcome to part 2 in our blog series dedicated to the role of Data and AI in addressing our climate crisis.

In part 1 of the series, we discussed the critical aspects of data infrastructure, considering data governance, access to better data, and  how organisations can utilise data and advanced technologies such as AI to combat climate change and deliver against requirements and obligations.

Now we turn our attention to Data talent…

While data science and AI provide the tools and frameworks for addressing climate change, the role of skilled data professionals cannot be overstated. People in data play a crucial role in extracting meaningful insights from vast datasets, developing robust models, and translating complex information into actionable strategies.

Here's where a data team can contribute to harnessing the power of data and AI in combating the climate crisis:

Data Leadership

Data leadership plays a crucial role in effectively leveraging the power of the wider data talent pool. Visionary leaders who understand the strategic value of data and can champion its use in driving climate action. Data leaders should set the tone by fostering a data-driven culture within their organisations, emphasising the importance of data-driven decision-making and innovation around the climate agenda.

Data leaders also play a pivotal role in building and nurturing a diverse and skilled data team. They identify and recruit top talent, ensuring a mix of expertise in data science, analytics, and domain knowledge relevant to climate challenges. By providing mentorship, professional development opportunities, and a supportive environment, data leaders empower their teams to unleash their full potential.

In addition, data leaders can establish clear goals and objectives aligned with climate obligations, creating a roadmap for leveraging data to meet sustainability targets. They can collaborate with stakeholders across their organisation, including executives, department heads, and subject matter experts, to align data initiatives with broader business strategies and climate priorities.

Moreover, data leaders can aim to prioritise data governance, privacy, and ethics, establishing policies and practices to ensure data security, responsible data handling, and compliance with regulatory and climate requirements. By promoting transparency, accountability, and ethical use of data, data leaders can build trust within and outside an organisation, fostering strong partnerships and collaborations in the pursuit of climate solutions.

In  all of this, data leadership should extend beyond just harnessing data and technology for climate action; it also encompasses setting an example for responsible and efficient use of these practices within organisations. Data leaders have a responsibility to consider the environmental impact of data modelling and technology implementation, particularly in light of the high energy consumption associated with certain processes, such as blockchain. They can champion sustainable practices, advocate for energy-efficient data infrastructure and explore alternative technologies that minimise environmental footprints. By prioritising efficiency and sustainability, data leaders can demonstrate that data-driven solutions can coexist with responsible environmental stewardship, paving the way for a greener and more sustainable future.

Data Talent

Data teams can utilise their expertise in a number of key areas to translate data and technology into meaningful actions and results around climate. Some of the key areas where impact can be delivered include:

   1. Data Collection and Management:

Data professionals are critical in designing and implementing data collection processes that ensure the availability of high-quality and reliable datasets around climate. They play a critical role in curating and managing large volumes of environmental data from various sources, including satellites, sensors, and field measurements.

   2. Advanced Analytics and Modeling:

Data scientists and analysts can apply advanced statistical techniques and machine learning algorithms to analyse climate data. This will help uncover patterns, correlations, and trends that enable a deeper understanding of climate dynamics. By building predictive models, data talent can simulate different scenarios and evaluate the potential impacts of climate-related interventions.

   3. Algorithm Development and Optimisation:

Skilled data professionals are adept at developing AI algorithms that can process massive datasets efficiently. They can optimise algorithms to improve their performance and scalability, allowing for real-time analysis and decision-making. Through iterative testing and refinement, data talent can ensure the accuracy and reliability of AI-driven climate solutions.

   4. Interdisciplinary Collaboration:

Tackling the climate crisis requires collaboration across various disciplines, and data talent serves as a bridge between scientific domains. Data professionals should work closely with climate scientists, policymakers, and domain experts to identify critical questions, formulate research objectives, and develop data-driven solutions that align with the needs of stakeholders.

   5. Communication and Visualisation:

Translating complex data insights into actionable information is essential for driving climate action. Data professionals possess strong communication skills and expertise in data visualisation techniques. They distil complex findings into visually appealing and accessible formats, making it easier for policymakers, stakeholders, and the general public to comprehend and act upon the information.

So, there we have it! This blog series has offered a comprehensive understanding of how the marriage of data science, AI, and data talent can become a game-changer in our collective efforts to combat the climate crisis.

MBN are proud to be supporting action to tackle climate change through technology and data and are proud to be Talent Partner at the upcoming FinTech-Tables conference on ‘Tackling our climate crisis through innovation and collaboration. Why not join us on the day and hear from climate leaders across a range of sectors and have your say on discussions.

More details and free registration are available on the link below:

If you are currently working on a data or climate project and would like some support, feel free to reach out to our team for trusted advice, networks and connections. You can get in touch here:

Harnessing the Power of Data and AI: A Game-Changer in Combating the Climate Crisis - Part 1 is available here.

Are you looking to attract individual talent or build a data team? MBN Solutions offer a logical and reliable way to secure data talent for your business or project.

Get in touch here for support and guidance in this area.


Author Bio


Michael started MBN to deal with what he perceived as a weakness within the recruitment industry and its lack of deep domain expertise in the areas of data, analytics and technology. 15 years on, MBN is a hugely successful and market leading provider of People Solutions to disruptive and fast moving businesses seeking the very best talent to support their strategic intent. MBN’s success has come about through leadership and passion to collaborate and build communities of stakeholders. In recent years this has been evidenced through organising and facilitating two of the UK’s most compelling networking groups: Scotland Data Science & Technology and Blockchain Scotland Meet-Up Group. With such groups playing a pivotal role in helping to surface unmet clients’ needs and helping to build links with an enhanced candidate pool, he has also used this as a platform for growth by hosting events such as ScotChain, CityChain and Data Talent 2.0. Outside of MBN, he continues to act as an advisor and mentor to a number of start-ups, charities and third-sector organisations and have provided support to many government agencies seeking to understand the evolving complex landscape of Data Talent Acquisition.