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Business Modelling Consultant (Civil Service)

North Highland London, United Kingdom
Posted 6 hours ago Permanent Competitive

Business Modelling Consultant (Civil Service)

North Highland London, United Kingdom
Business Modelling Consultant (Civil Service)

MAKE STRATEGY A REALITY | ACCELERATE YOUR GROWTH | CHOOSE YOUR PATH



As the world's leading change and transformation consultancy, we're helping businesses move from strategy to reality by taking a pragmatic and practical approach to build solutions that last.

We're seeking a
Business Modelling Consultant take vision to value and create lasting impact for our civil service client.



Please note, this is a PAYE Umbrella contract until the end of March 2023 that will require an enhanced DBS check (due to the nature of work, the client is exempt from the rehabilitation of offenders act 1974) and will also require working onsite in London 1-3 days per week.




SUMMARY



As a Business Modelling Consultant, you will play a pivotal role in delivering strategic analytical solutions that drive informed decision-making across the organisation. This position offers the opportunity to apply advanced modelling techniques in demand forecasting, operational analysis, and financial planning to create tangible impact on government service delivery. You will contribute to developing reproducible analytical methods that enhance transparency and enable evidence-based policy implementation.




YOU WILL:





  • Develop and maintain sophisticated demand forecasting models to support resource planning and service capacity decisions

  • Conduct operational modelling to identify efficiency improvements and optimise workflow processes

  • Create financial and cost modelling analyses to support budget allocation and spending decisions

  • Perform scenario analysis to evaluate potential outcomes and support strategic planning initiatives

  • Design and implement reproducible analytical methods that can be audited, verified, and adapted for future use

  • Collaborate with cross-functional teams to gather requirements and translate complex business needs into analytical frameworks

  • Present findings and recommendations to senior stakeholders in clear, accessible formats

  • Ensure analytical rigour and quality assurance across all modelling work

  • Mentor and support colleagues in analytical best practices and methodology




IDEALLY, WE'D LIKE:





  • Proven experience in business or financial modelling, ideally within a public sector or government environment

  • Demonstrated expertise in demand forecasting and operational analysis techniques

  • Strong proficiency with statistical analysis software and data visualisation tools

  • Experience developing models that prioritise transparency and reproducibility

  • Knowledge of cost-benefit analysis and scenario planning methodologies

  • Excellent analytical and problem-solving capabilities

  • Strong communication skills with the ability to explain complex analyses to non-technical audiences

  • Experience working collaboratively in multidisciplinary teams

  • A detail-oriented approach with commitment to accuracy and quality assurance

  • Professional qualification in mathematics, statistics, economics, or related discipline (desirable)



Applicants must be authorized to work in the United Kingdom, without the need for visa sponsorship by North Highland. Work visa sponsorship will not be provided, either now or in the future, for this position.

This is a temporary employee (PAYE) opportunity working via an Umbrella company.



North Highland is an equal opportunity employer, and we adhere to all applicable laws and regulations to ensure a fair and equitable workplace. All qualified applicants will receive fair and impartial consideration without regard to race, color, sex, gender identity, religion, national origin, age, sexual orientation, disability, veteran status, or any other characteristic protected by law. We handle all information in accordance local privacy standards and maintain strict confidentiality.



Reference: 50433

Job ID  50433
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