At a Glance
- Tasks: Join a dynamic team to analyse data and drive decarbonisation projects.
- Company: City Science, a forward-thinking consultancy focused on sustainability.
- Benefits: Remote work, flexible hours, 25 days leave, and professional growth opportunities.
- Other info: Collaborative environment with a focus on innovation and learning.
- Why this job: Make a real impact in the fight against climate change while developing your skills.
- Qualifications: PhD in a relevant field and experience with Python for data automation.
The predicted salary is between 40000 - 40000 £ per year.
Salary: £30-40K per annum DOE.
Location: Remote with flexible working arrangements, all UK based locations considered. Our flexible office collaboration spaces, for those wishing to use them, are in Birmingham, Bristol, Exeter and London.
Term/Hours: 6 month FTC, 40 hours per week, with flexibility over working pattern - please state in your application.
Closing Date for applications: Role will require upon appointment of suitable candidate. Immediate start required.
About the Role
You will work across our multidisciplinary consultancy team, with a primary focus on digital and data-driven analysis through automated processes. You’ll have the opportunity to contribute to impactful real-world work—helping clients understand, plan, and deliver pathways to decarbonisation. This role requires someone who can hit the ground running, adapt quickly, and work flexibly across different challenge areas. You’ll collaborate with a talented, supportive team of experts who are passionate about tackling the climate crisis through evidence-based, innovative solutions.
Key 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.
About Us
City Science is an SME founded in 2015 with a core mission of delivering decarbonisation. We help organisations who are 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 range of clients is extensive, having worked for 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.
Job Requirements
Required:
- 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.
Desirable (but not essential):
- 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. Candidates without direct consulting experience are strongly encouraged to apply if they are driven, ambitious, and eager to learn.
Aligned to Our Values
- 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.
What We Offer
- Fully remote working, supported by optional access to co-working hubs across the UK—use them whenever you prefer.
- Flexible working hours to support work–life balance.
- Opportunity to join a talented, friendly, and supportive team.
- Work on impactful projects in the decarbonisation and sustainability space.
- Real opportunities to grow, learn, and shape the direction of exciting new products and capabilities.
- 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.
Data and Analytics Engineer FTC - PhD Level - Immediate Start in London employer: City Science
At City Science, we pride ourselves on being an excellent employer that champions innovation and collaboration in the fight against climate change. Our remote work culture fosters flexibility and inclusivity, while our commitment to employee growth ensures you will have access to continuous learning opportunities and mentorship from industry experts. Join us in making a meaningful impact on decarbonisation pathways, all while enjoying the unique advantage of working within a multidisciplinary team dedicated to evidence-based solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Data and Analytics Engineer FTC - PhD Level - Immediate Start in London
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like City Science before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
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We think you need these skills to ace Data and Analytics Engineer FTC - PhD Level - Immediate Start in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at City Science, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to City Science, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab City Science’s attention and show the tangible impact of your work.
How to prepare for a job interview at City Science
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at City Science.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at City Science.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at City Science.
