Data Science Consultant - Policy and Strategy
Manchester, England, United Kingdom
Applications have closed
Frazer-Nash Consultancy
At Frazer-Nash, we help organisations deliver innovative engineering, systems and technology solutions to make lives safe, secure, sustainable, and affordable.Closing date is 6th January but we would encourage early applications
We are looking for experienced consultants or policy professionals, with a strong background in data science, to join our diverse and growing Strategic Modelling Team.
If you are the type of person who enjoys using your data science skills to solve strategy and policy problems, then this is a great opportunity to join an exciting business addressing some of society’s greatest challenges.
Job Description
At Frazer-Nash we do things that matter for the future of society - helping to make lives safe, secure, sustainable, and affordable. You will work in a team of high performing data scientists (and other specialists) to build bespoke models and analysis tools to develop insights and advice for our clients most important challenges.
Our strategic modelling team supports clients with the following services:
- Strategy and policy development
- Scenario planning and strategy / policy simulations
- Analysis for complex business cases
- Cost, risk and benefits modelling
- Policy / Strategy optimisation
- Energy system transition modelling
- Decarbonisation strategy modelling
The team is highly collaborative, often working alongside experts in economics, technology, engineering and behavioural psychology.
Recent projects include:
- Delivering the study into Space Based Solar Power (SBSP) for the European Space Agency and BEIS, which considered the technical feasibility, cost and economics of SBSP as a novel generation technology which could help Europe and the UK achieve Net Zero.
- Developing a Bayesian network probabilistic cost model (with an accompanying secure web application) to support the business case for a multi-Billion-pound major national infrastructure programme.
- Delivering a heat network policy exploration and optimisation tool to BEIS, supporting the transition to a sustainable low carbon society.
- Developing novel machine learning approaches to forecasting: 1) an award-winning project predicting the delays across the UK rail network and recommending better routes to save time and cost; 2) the uncertainty (and likely decommissioning dates) in the lifetime of critical national low carbon electricity generation sites, helping support low carbon generation.
Requirements
We are looking for candidates who can bring diversity of thought, fresh ideas, and an understanding of the policy context to society's next challenges.
We are looking for candidates who:
- Have experience delivering modelling projects and focussed advice into government departments, public sector and/or wider industry, in support of policy or strategy challenges.
- Have strong communication skills, both written and verbal, and an ability to influence effectively.
- Are equally at home conducting numerical analysis, applying creative problem-solving skills, and presenting to senior civil servants, executives and industry leaders.
- Can take responsibility for the success of modelling projects and lead teams.
- Are effective collaborators with experience of working as part of a dynamic team.
- Can develop competitive work-winning bids, and exceptional service to clients, which result in good business outcomes for Frazer-Nash.
Benefits
We provide our people with an excellent benefits package that comprises:
- Competitive salary: [£50,000 - £75,000]
- We are happy to talk flexible working
- 25 days' holiday entitlement
- Holiday sale and purchase scheme
- Company pension scheme
- Targeted professional development
- Life assurance
- Private healthcare membership
- Bonus scheme linked into company performance
- Paid membership fees to a professional institution
- Support in attaining professional membership
- Cycle to work scheme
- Flexible start and finish time
- Season rail ticket loan
Tags: Bayesian Economics Engineering Machine Learning
Perks/benefits: Career development Competitive pay Flex hours Salary bonus
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