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For Companies At a Glance
- Tasks: Develop a property intelligence platform to enhance building performance and reduce emissions.
- Company: Join CSR Sustain, a forward-thinking SME focused on energy efficiency and sustainability.
- Benefits: £38k-£41k salary, £2,000 for personal training, and potential for permanent position.
- Other info: Collaborate with academic experts and industry leaders in a dynamic environment.
- Why this job: Make a real impact in the transition to Net Zero while gaining valuable experience.
- Qualifications: Honours Degree in Computer Science, Data Science, or related field; programming skills required.
The predicted salary is between 38000 - 41000 £ per year.
Based at CSR Sustain Ltd premises
Salary £38k to £41k
The Role
An exciting opportunity has become available for a graduate to work full time on a 30-month Knowledge Transfer Partnership (KTP) to develop a property intelligence platform that integrates energy compliance, financial, and operational data to help landlords, investors, and regulators improve building performance, reduce emissions, and comply with energy efficiency regulations – supporting the UK's transition towards Net Zero targets. Employed and supported by an academic team from the University, you will be based at Commercial Survey Reports Limited's premises in Bury.
CSR Sustain, headquartered in Bury with a base in London, are an SME established in 2008 who provide energy auditing, compliance, and optimisation services to the commercial property sector across the UK. Their focus is on enabling clients to improve operational efficiency, meet Minimum Energy Efficiency (MEES) regulatory standards, and advance towards Net Zero targets. Their client base includes commercial landlords, property managers, energy consultants, financial institutions, insurers, Real Estate Investment trusts, local authorities, and sustainability officers. They proudly serve major organisations such as Peel Holdings and Marchmont & Logicor, alongside a growing portfolio of property investors and corporate occupiers.
To find out more about CSR Sustain go to https://www.commercialsurveyreports.co.uk/
Qualifications We Require
- Hold, or be about to obtain, an Honours Degree (or equivalent experience) in Computer Science, Data Science, Artificial Intelligence, or a related discipline (or equivalent qualification).
- Desirable – PhD or MSc Level qualifications in Computer Science/Software Engineering, or a complementary qualification, e.g. an MBA (Information Technology).
Knowledge/Skills Application requirements:
- Programming languages (Python, R, NoSQL, etc) and data fusion approaches (Low/feature/decision level) and methods (Weighted averaging, Bayesian inference, Kalman filters).
- ML and AI approaches (correlation analysis, principal component analysis, and domain-driven feature creation, exact/fuzzy logic) and API development (RESTful, GraphQL, etc).
- Cloud and offline data storage solutions and the capability to create robust, efficient data architectures.
- Full lifecycle Data pipeline management.
- Data and information visualisation and User Interface design.
Attributes
- Commitment to excellence with independent and collaborative problem-solving skills.
- Able to communicate complex technical information to non-experts and engage with stakeholders.
Experience
- Industry experience in Data Science projects
- Knowledge/interest in the built environment and sustainability regulations (MEES, etc).
Please note that this role requires your current right to work in the UK to be valid until the end of the contract. If your current right to work is due to expire before the end of the contract, you will be required to apply for an appropriate visa to cover the full duration of the contract, prior to commencing employment. Should you be successful in securing this KTP contract, our UKVI Immigration & Compliance team will be able to advise and support you through the process.
About KTP
For 50 years, Knowledge Transfer Partnerships (KTPs) have been helping to innovate for growth by connecting businesses that have an innovation idea with the academic expertise to help deliver it. Currently around 800 businesses, 100 knowledge bases and over 800 graduates are involved in KTPs – collaborative, transformative three-way partnerships creating positive impact and driving innovation.
Benefits
- £2,000 per year to spend on personal training
- Opportunity to register on a higher degree at a reduced cost
- Opportunity of a permanent position with the company: 70% of host companies make a permanent job offer to their Associate at the end of the project
For an informal discussion, please contact Dr Annabel Latham on A.Latham@mmu.ac.uk and Professor Alhussein Albarbar on A.Albarbar@mmu.ac.uk
Apply at https://manmetjobs.mmu.ac.uk/jobs by submitting a CV and a covering letter detailing how you meet the criteria for the role. Only applications with a covering letter will be considered. Due to the nature of KTP funding, those who have already completed more than 1 year of a KTP are not eligible to apply.
Energy Data Scientist – Built Environment (KTP Associate) in Manchester employer: The Manchester Metropolitan University
Contact Detail:
The Manchester Metropolitan University Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Energy Data Scientist – Built Environment (KTP Associate) in Manchester
✨Tip Number 1
Network like a pro! Reach out to professionals in the energy and data science sectors on LinkedIn. Join relevant groups and participate in discussions to get your name out there. You never know who might have a lead on a job or can refer you to someone at CSR Sustain.
✨Tip Number 2
Prepare for interviews by practising common questions related to data science and the built environment. Make sure you can explain your projects and how they relate to energy compliance and sustainability. We want to see your passion for the field!
✨Tip Number 3
Showcase your skills! Create a portfolio of your work, especially any projects that involve Python, R, or machine learning. This will give potential employers a tangible sense of what you can do and how you can contribute to their goals.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Tailor your CV and cover letter to highlight your relevant experience and enthusiasm for the role at CSR Sustain. Let’s get you that interview!
We think you need these skills to ace Energy Data Scientist – Built Environment (KTP Associate) in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Energy Data Scientist role. Highlight relevant skills and experiences that align with the job description, especially in data science and the built environment.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain how your background and interests make you a perfect fit for this KTP Associate position. Don’t forget to mention your passion for sustainability and energy efficiency!
Showcase Your Technical Skills: Be specific about your programming languages and data management skills. Mention any projects or experiences where you've used Python, R, or worked with data pipelines, as these are key for the role.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. Make sure to double-check all your documents before hitting that submit button!
How to prepare for a job interview at The Manchester Metropolitan University
✨Know Your Data Science Stuff
Make sure you brush up on your programming languages like Python and R, as well as data fusion methods. Be ready to discuss how you've applied these skills in past projects, especially in relation to the built environment and sustainability.
✨Understand the Company and Its Goals
Do your homework on CSR Sustain and their mission towards Net Zero targets. Familiarise yourself with their client base and the services they offer. This will help you tailor your answers and show that you're genuinely interested in contributing to their goals.
✨Prepare for Technical Questions
Expect questions about machine learning approaches and data pipeline management. Think of specific examples where you've used these techniques and be prepared to explain them clearly, even to someone who might not have a technical background.
✨Showcase Your Communication Skills
Since you'll need to engage with stakeholders, practice explaining complex concepts in simple terms. Prepare scenarios where you've successfully communicated technical information to non-experts, highlighting your ability to collaborate and problem-solve.