Energy Data Scientist – Built Environment (KTP Associate)
Posted 5 days ago by The Manchester Metropolitan University
£41,000 Per year
Undetermined
Undetermined
Manchester, England, United Kingdom
Summary: The Energy Data Scientist – Built Environment (KTP Associate) role offers a graduate the opportunity to work on a 30-month Knowledge Transfer Partnership to develop a property intelligence platform aimed at enhancing building performance and compliance with energy regulations. The position is based at CSR Sustain Ltd in Bury, where the candidate will collaborate with an academic team from the University. The role focuses on integrating energy compliance, financial, and operational data to support the UK's Net Zero targets. Candidates should possess a relevant degree and skills in data science, programming, and machine learning.
Key Responsibilities:
- Develop a property intelligence platform integrating energy compliance, financial, and operational data.
- Collaborate with an academic team to enhance building performance and compliance with energy regulations.
- Manage full lifecycle data pipeline and create robust data architectures.
- Communicate complex technical information to non-experts and engage with stakeholders.
- Utilize programming languages and machine learning approaches for data analysis and visualization.
Key Skills:
- Honours Degree in Computer Science, Data Science, Artificial Intelligence, or related discipline.
- Programming skills in Python, R, NoSQL, and experience with data fusion methods.
- Knowledge of machine learning and AI approaches, including correlation analysis and API development.
- Experience in data pipeline management and user interface design.
- Industry experience in Data Science projects and knowledge of sustainability regulations.
Salary (Rate): £41,000 yearly
City: Bury
Country: United Kingdom
Working Arrangements: undetermined
IR35 Status: undetermined
Seniority Level: Entry Level
Industry: IT
Position: Energy Data Scientist – Built Environment (KTP Associate)
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. Commercial Survey Reports (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.
Documents KTP JOB DESCRIPTION CSR.pdf (78.96 KB)
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