MCC Economics applies advanced data analysis and modelling techniques to support evidence-based decision-making. We use quantitative methods, statistical modelling, and machine learning to uncover patterns, forecast outcomes, and translate data into insight for policy, regulation, and strategy.
We help clients make sense of complex datasets - identifying trends, relationships, and risks that shape real-world decisions.Our data science work supports everything from regulatory benchmarking and macroeconomic forecasting to financial risk assessment and stakeholder analysis. Each project combines methodological rigour with practical interpretation to ensure findings are both accurate and actionable. Our expertise include forecasting and time-series modelling (ARIMA, econometric, and machine learning approaches), predictive analytics and scenario testing for policy and financial outcomes, data cleaning, validation, and integration from multiple sources, as well as visualisation and dashboard design for transparent communication of results. Our data solutions are tailored to the scale and complexity of each assignment, with a focus on reproducibility, auditability, and clarity.
Our expertise includes:
Our data solutions are tailored to the scale and complexity of each assignment, with a focus on reproducibility, auditability, and clarity.
Our team includes economists, consultation specialists, data analysts, and sector experts with direct experience in energy, environment, markets, and infrastructure policy. Projects are managed through agreed milestones and regular client engagement, providing transparency on progress and alignment with departmental objectives. Every output is independently reviewed and quality-assured before submission.
Our carefully chosen team embodies a culture of working together, emphasizing that teamwork is not just an idea but a fundamental part of our success.
Our publications demonstrate how data science can strengthen economic evaluation and evidence-based policymaking.
Our work in data science combines economic insight with technical precision. The examples below illustrate how MCC applies advanced analytical techniques to support statistical agencies, regulators, and government departments.
We build interactive dashboards that make complex datasets accessible and transparent. Our tools allow users to explore forecasts, validate assumptions, and compare outcomes across scenarios.
I was delighted that MCC's work was completed on time, and within budget, helping us deliver important changes and improvements, to the benefit of our stakeholders. MCC's report is published on the CCC website.
I am delighted to recommend MCC Economics. Specifically, I worked closely with PJ, who helped us with our Nuclear and CCUS projects. PJ helped us develop new policies and answer questions from our stakeholders. His support helped us deliver important changes and improvements, to the benefit of our stakeholders.
MCC Economics has helped us better understand the most important issues for our stakeholders, including: charges, shareholder returns, debt payments and inflation impacts.
I am delighted to recommend PJ and his team at MCC Economics. We've been working together on National Policy Statements to help meet net zero targets for 2030 and 2050. We initially appointed to support us on offshore wind consultation analysis and have recently reappointed MCC Economics to undertake a larger consultation analysis role across all sectors, including hydrogen, CCUS and networks. I can confirm that PJ and his team have shown excellent spreadsheet skills, alongside very good project management, planning and analysis skills, helping us deliver important changes, and continuous improvements, to the benefit of our stakeholders.
I am delighted to recommend PJ and his team from MCC Economics. They helped us with our price controls for Heathrow airport and for NATS (En Route) plc (the air traffic services provider). Specifically, the MCC team helped us deliver important changes and improvements to our financial models and supporting policy documents, to the benefit of our stakeholders.
I am delighted to confirm that I worked with PJ on a retail project in 2015. The project helped stakeholders understand electricity costs and charges. Specifically, the project helped us explain to stakeholders, internally and externally, why electricity charges differed across the regions (GB, NI & Ireland). PJ was a key member on the project team, which helped deliver changes and improvements in the understanding of energy retail.
Evidence-based analysis for transparent, defensible, and effective decision-making.
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