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A leading construction company in Bath is seeking a placement student for its Sewerage Asset Reliability Team. This role focuses on developing data science analytical tools to monitor sewerage infrastructure's effectiveness. Candidates must be second or third-year undergraduates in a relevant field, with a strong maths background. Successful applicants will receive training and may be involved in real-time data analysis and operational communication, offering a unique opportunity to contribute positively within the water industry.
If you are currently studying a coursewith a strong maths, engineering or science bias and you have a keen interest in data science, we have a great placement student opportunity for you.
We are looking for enthusiastic and motivated individuals to join our Sustainable Operations and Engineering (SOE) department as placement students in our Sewerage Asset Reliability Team.
Within this placement, you will help us develop data science analytical tools to reduce the likelihood and impact of the escape of sewage into the environment. You will gain a practical understanding of sewerage infrastructure and use the large number of monitoring loggers providing real time data back to our systems.
This will be for a period of 12 months, starting from June, July, or August 2026.
The placement will help develop analytics such as:
We are keen for you to continue the excellent work of previous placement students, developing ways to analyse the data (eg, using Amulet, Python, Excel, Qlikview), looking at options with machine-based learning, or setting upper and lower thresholds, to allow Operations staff/managers to understand the real risk to the sewerage network and alert us of any potential discharge.
This would allow us to respond quickly and avoid or minimise a potential pollution. The posts would also involve liaison with operational staff, divisional managers and engineering modellers, so it would be an interesting post and one where the individuals could make a positive contribution.
Located at our award-winning office in Bath, this position offers the chance to gain an in-depth knowledge of the water industry. You will also be given the appropriate training needed to perform the role.
We are looking for undergraduates in the second or third year of a BEng, MEng, MSc or BSc degree course, seeking an industrial placement that contains a strong maths or engineering bias. An aptitude for data science and analytics is essential.
Please note, applications will not be considered unless they include a supporting statement, which outlines why you would like to work in the water industry.
To be considered, you will have:
Short-listed candidates will be invited to complete an offline data exercise. Further short-listed candidates will then be invited to an online interview via Microsoft Teams, which will involve a data analysis/Excel test.
The purpose of this interview will be to get to know you and your ability to apply data science analytics to a practical problem while determining a rough plan for your placement year.
At interview you will be given an overview of the company and the opportunity to ask any questions you may have. The interview will last approximately one and a half hours.
YTL UK is part of the international YTL Group based in Kuala Lumpur. The UK companies include:
Our people tell us that YTL UK is a great place to work, which is why so many of them stay with us! You will have a unique opportunity to develop and progress your career within such a diverse group.
We are passionate about diversity and inclusion – with that in mind, all applicants are welcome. We are delighted to have signed the Armed Forces Covenant and are a Disability Confident Employer.
If you require reasonable adjustments to be made during the recruitment process, please inform a member of our Recruitment team.