Sewerage Data Scientist Placement Student

YTL UK
Bath
3 weeks ago
Create job alert

If you are currently studying a coursewith a strong maths, engineering or science bias and you have a keen interest in data sciencesemary, we have a great placement student opportunity for you.


What you'll do

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:



  • burst detection monitoring (flow and pressure data on pumping systems)
  • event duration monitoring (level data on the sewer network and at sewage pumping stations)
  • energy data for pumps and other mechanical assets
  • time-series data (eg, run-stop signals for pumps and level data)
  • webcams/AI analysis of images.

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 theildir 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 can 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.


What you'll need

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:



  • an A or A* in maths and science at A level or equivalent
  • excellent analytical skills
  • the ability to manage large amounts of data
  • the ability to relate data to the physical equipment and processes
  • a high level of proficiency in the use of Excel
  • a good team player
  • a good communicator
  • an interest in the water industry.

Short‑listed candidates will be invited to complete an offline data exercise. Further short‑listed candidates will then be invited diagonally 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. Theinterview will last approximately one and a half hours.


What you'll receive

  • A combined pension contribution of up to 20%.
  • Career progression and professional development opportunities.
  • 25 days’ holiday rising to 28 with length of service.
  • The opportunity to sell up to five days of holiday every year.
  • The opportunity to buy up to ten days of holiday each year (subject to conditions).
  • A healthcare meðal that allows you to claim back healthcare costs.
  • Life assurance of up to eight times your salary.
  • The opportunity to lease a new electric car through salary sacrifice (subject to conditions).
  • Cashback and discounts from more than 3 000 retailers.
  • One paid volunteering day each year.
  • Enhanced family leave and pay arrangements.
  • Access to an interactive health and wellbeing platform.
  • Support from trained mental health first aiders.
  • A £1,000 referral fee if you recommend someone who is successfully recruited by us.

Who we are

YTL UK is part of the international YTL Group based in Kuala Lumpur. The UK companies include:



  • Wessex Water – one of the top‑performing water and sewerage companies in England and Wales, serving 2.9 million people across the South West
  • YTL Developments – a major UK developer currently redeveloping a 350‑acre former airfield into an award‑winning, exciting mix of houses, apartments, schools, commercial space, restaurants and hotels, to make a truly sustainable new community
  • YTL Construction UK – a top‑20 UK contractor providing fully integrated services to infrastructure, residential, commercial, industry, energy and environmental sectors
  • YTL Arena – the development and operation of an entertainment complex that includes a 20,000 capacity arena, conferencing and exhibition space
  • plus a number of other retail, environmental and specialist businesses.

Our people tell us that YTL UK is a great place to work, which is why so many of them stay with us.collider 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.


#J-18808-Ljbffr

Related Jobs

View all jobs

Data Scientist (Azure)

Sewerage Data Science Placement — 12‑Month Bath Internship

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

What Hiring Managers Look for First in Data Science Job Applications (UK Guide)

If you’re applying for data science roles in the UK, it’s crucial to understand what hiring managers focus on before they dive into your full CV. In competitive markets, recruiters and hiring managers often make their first decisions in the first 10–20 seconds of scanning an application — and in data science, there are specific signals they look for first. Data science isn’t just about coding or statistics — it’s about producing insights, shipping models, collaborating with teams, and solving real business problems. This guide helps you understand exactly what hiring managers look for first in data science applications — and how to structure your CV, portfolio and cover letter so you leap to the top of the shortlist.

The Skills Gap in Data Science Jobs: What Universities Aren’t Teaching

Data science has become one of the most visible and sought-after careers in the UK technology market. From financial services and retail to healthcare, media, government and sport, organisations increasingly rely on data scientists to extract insight, guide decisions and build predictive models. Universities have responded quickly. Degrees in data science, analytics and artificial intelligence have expanded rapidly, and many computer science courses now include data-focused pathways. And yet, despite the volume of graduates entering the market, employers across the UK consistently report the same problem: Many data science candidates are not job-ready. Vacancies remain open. Hiring processes drag on. Candidates with impressive academic backgrounds fail interviews or struggle once hired. The issue is not intelligence or effort. It is a persistent skills gap between university education and real-world data science roles. This article explores that gap in depth: what universities teach well, what they often miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in data science.

Data Science Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Thinking about switching into data science in your 30s, 40s or 50s? You’re far from alone. Across the UK, businesses are investing in data science talent to turn data into insight, support better decisions and unlock competitive advantage. But with all the hype about machine learning, Python, AI and data unicorns, it can be hard to separate real opportunities from noise. This article gives you a practical, UK-focused reality check on data science careers for mid-life career switchers — what roles really exist, what skills employers really hire for, how long retraining typically takes, what UK recruiters actually look for and how to craft a compelling career pivot story. Whether you come from finance, marketing, operations, research, project management or another field entirely, there are meaningful pathways into data science — and age itself is not the barrier many people fear.