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About the Role
This role focuses on digital and data-driven analysis through automated processes within a multidisciplinary consultancy team, contributing to impactful projects that help clients plan and deliver decarbonisation pathways. The position requires adaptability, flexibility, and the ability to collaborate with a supportive team of experts passionate about climate solutions.
Responsibilities
- Contribute analytical expertise to projects in digital strategy and digital planning.
- Conduct robust modelling, data analysis, and research to support the digitisation of planning.
- Build data and analytical pipelines in Python to automate key modelling workflows.
- Develop robust, tested code that meets internal standards.
- Prepare clear and compelling reports, technical outputs, and presentations for clients.
- Collaborate with internal specialists across transport, energy, digital, and systems modelling.
- Support delivery of consultancy projects to time, quality, and budget.
- Respond flexibly to evolving project needs across the wider consultancy team.
Requirements
- A PhD in Maths, Computer Science or a closely related discipline (e.g., Engineering, Physics, Environmental/Climate Sciences, or similar analytical fields).
- Experience building automated data pipelines and workflows using Python.
- Ability to write tested code in line with software engineering best practice.
- Strong analytical and problem-solving skills, with the ability to quickly understand complex systems.
- Strong understanding of statistical and algorithmic methods of analysis.
- A genuine interest in decarbonisation, net zero, and sustainable planning.
- Excellent communication skills, able to present complex information clearly and concisely.
- Ability to work independently and deliver high-quality outputs at pace.
- Experience working in a consultancy environment or in roles involving technical analysis for sustainability, energy, digital, or carbon-related topics.
- Familiarity with modelling tools, digital innovation, or carbon accounting frameworks.
Skills
- Python
- Data analysis
- Modelling
- Digital strategy
- Digital planning
- Automated data pipelines
- Tested code development
- Statistical methods
- Algorithmic methods
- Communication
- Problem-solving
- Systems analysis
- Decarbonisation
- Net zero
- Sustainable planning
- Consultancy
- Technical analysis
- Sustainability
- Energy
- Digital
- Carbon accounting
- Modelling tools
- Digital innovation
Location
- Remote
- UK
Work Type
- Remote
- 6 month FTC
- 40 hours per week
Experience Level
- PhD required
- Experience building automated data pipelines and workflows using Python
- Experience working in a consultancy environment or in roles involving technical analysis for sustainability, energy, digital, or carbon-related topics (desirable)
Education Level
- PhD in Maths, Computer Science or a closely related discipline
Salary/Compensations
- £30-40K per annum DOE
Benefits
- Fully remote working
- Optional access to co-working hubs across the UK
- Flexible working hours
- 25 days annual leave entitlement, plus bank holidays
- Buy/Sell annual leave policy
- Membership of our group pension scheme
- Enhanced maternity and paternity policy
- Eye care policy
- Cycle to work scheme
- Employee assistance program
About the Company
- City Science is an SME founded in 2015 with a core mission of delivering decarbonisation.
- We help organisations committed to decarbonisation achieve meaningful and quantifiable carbon reductions quickly and efficiently.
- We work collaboratively across our business to provide integrated solutions to our clients.
- Our clients include major national bodies such as DESNZ, the Climate Change Committee (CCC), and a range of forward-thinking local authorities such as Oxfordshire County Council.
- We work closely with our award-winning research, software and product development team who produce innovative and uniquely insightful digital tools, like our GIS software, Cadence, to successfully deliver our projects.
Equal Opportunity
- Excellence: Commitment to high standards in your code, solutions, and engineering decisions.
- Ownership & Accountability: You take responsibility for outcomes and proactively drive progress.
- Data Driven: You use evidence, analytical thinking, and testing to guide choices.
- Results Orientated: You focus on delivering meaningful outputs that create real-world impact.
- Adaptability & Learning: You embrace change, seek out new knowledge, and learn quickly.
- Passion & Urgency: You care about what you build and work with purpose to achieve it.
- Meritocracy: You value competence, fairness, and helping raise the bar across the team.
- Entrepreneurial: You’re resourceful, creative, and eager to contribute ideas that move the business forward.