On behalf of DSIT, we are looking for a Data Modeller (Inside IR35) for a 3 Month contract (possible extension) based REMOTELY.
Role Overview: We are looking for a skilled Data Modeller to join our Cyber Analysts' team to refine and improve our modelling of cyber risk in the UK economy.
The Department for Science, Innovation and Technology (DSIT) is developing a model that, while currently focused on businesses, will expand to include individuals and government entities, providing a comprehensive view of systemic cyber risks across the UK economy. The model, based on Monte Carlo analysis, quantifies potential losses from cyber-attacks. Findings from ongoing consultancy projects examining the impacts of cyber-attacks on the economy will be integrated into the final model.
As a Data Modeller, your main responsibilities will be to: Validate, refine, and improve the current cyber risk model. Incorporate findings from external projects into the overall risk framework. Utilise R to build, test, and optimise statistical and economic models. Ensure the model meets quality assurance standards, adhering to the Aqua Book. Contribute to the wider understanding of appraisal methods in the Green Book. Document technical updates and changes to the model. Collaborate with policy teams to design outputs that inform decision-making.
Essential: Extensive experience in data modelling. Good experience and proven ability to code in R. A firm understanding of quality assurance processes. Familiarity with the Aqua Book and its standards for model reliability. Knowledge working on appraisal methods in the Green Book. Knowledge and experience in Monte Carlo analysis (Desirable). Technical drafting skills to record changes to the modelling.
Desirable: Experience of working with policy teams to design outputs from modelling. Experience of working within a Cyber Security environment. Public Sector experience. Previous experience project managing.
Please be aware that this role can only be worked within the UK and not Overseas.
Disability Confident As a member of the Disability Confident Scheme, DSIT guarantees to interview all candidates who have a disability and who meet all the essential criteria for the vacancy. In cases where we have a high volume of candidates who have a disability who meet all the essential criteria, we will interview the best candidates from within that group. This scheme encourages candidates with a disability and/or neurodivergence to apply.
In applying for this role, you acknowledge the following: this role falls in scope of the Off Payroll Working in the Public Sector legislation. Any rates of payment quoted will reflect the gross rate per day for the assignment and will be subject to appropriate taxes and statutory costs. As such, the payment to the intermediary and your income resulting from this contract will be different.
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Role Overview: We are looking for a skilled Data Modeller to join our Cyber Analysts' team to refine and improve our modelling of cyber risk in the UK economy.
The Department for Science, Innovation and Technology (DSIT) is developing a model that, while currently focused on businesses, will expand to include individuals and government entities, providing a comprehensive view of systemic cyber risks across the UK economy. The model, based on Monte Carlo analysis, quantifies potential losses from cyber-attacks. Findings from ongoing consultancy projects examining the impacts of cyber-attacks on the economy will be integrated into the final model.
As a Data Modeller, your main responsibilities will be to: Validate, refine, and improve the current cyber risk model. Incorporate findings from external projects into the overall risk framework. Utilise R to build, test, and optimise statistical and economic models. Ensure the model meets quality assurance standards, adhering to the Aqua Book. Contribute to the wider understanding of appraisal methods in the Green Book. Document technical updates and changes to the model. Collaborate with policy teams to design outputs that inform decision-making.
Essential: Extensive experience in data modelling. Good experience and proven ability to code in R. A firm understanding of quality assurance processes. Familiarity with the Aqua Book and its standards for model reliability. Knowledge working on appraisal methods in the Green Book. Knowledge and experience in Monte Carlo analysis (Desirable). Technical drafting skills to record changes to the modelling.
Desirable: Experience of working with policy teams to design outputs from modelling. Experience of working within a Cyber Security environment. Public Sector experience. Previous experience project managing.
Please be aware that this role can only be worked within the UK and not Overseas.
Disability Confident As a member of the Disability Confident Scheme, DSIT guarantees to interview all candidates who have a disability and who meet all the essential criteria for the vacancy. In cases where we have a high volume of candidates who have a disability who meet all the essential criteria, we will interview the best candidates from within that group. This scheme encourages candidates with a disability and/or neurodivergence to apply.
In applying for this role, you acknowledge the following: this role falls in scope of the Off Payroll Working in the Public Sector legislation. Any rates of payment quoted will reflect the gross rate per day for the assignment and will be subject to appropriate taxes and statutory costs. As such, the payment to the intermediary and your income resulting from this contract will be different.
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