Graduate Data & Digital Programme
Listed on 2025-12-30
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IT/Tech
Data Analyst, Data Science Manager
At Severn Trent, we believe everyone deserves more. More care for the environment, more sustainable initiatives, and more support for the communities we serve. That's why we're on a mission to deliver bigger and better things, and we need passionate graduates like you to help us achieve our goals.
Our people and culture are the heart of our success. We're proud to be in the top 5% of utility companies worldwide for employee engagement and ranked as a Top 50 UK Employer on Glassdoor. With nearly 10,000 dedicated colleagues, we're looking for more brilliant people who are eager to turn challenges into opportunities for a better future.
If you're excited to learn, and ready to make a real impact, we want you on our team.
LET’S TELL YOU MOREOur Digital and Data Graduate Programme within Data Science & Analytics offers the perfect blend of personal and professional development. Within this programme you will have structured rotations through different technical disciplines such as Data Analytics, Data Engineering and Data Science whilst delivering tangible insights for some of the business’ most important data challenges.
In a typical day you could be developing complex predictive machine learning models, presenting business critical analytics to leadership through data visualisations or even harnessing powerful AI tools to innovate our business processes. Working alongside our Innovation colleagues, you will be working on high impact analytics projects using real-world data from our operational technologies.
A critical and curious mindset, along with analytical and numerical skills are key for this role. You'll need to be an excellent communicator to be able to translate complex and technical data into meaningful insights for important decision making. You will be communicating with stakeholders on multiple levels, and assessing and prioritising work based upon business value. Furthermore, you will form close relationships with the wider Asset Intelligence Teams to improve our data strategy to enhance the availability, quality, and usability of our data.
We welcome all graduates from diverse backgrounds, as we know diverse minds bring new ideas and a different way of thinking. We are looking for someone who wants to build their career with us and grasp new opportunities, and in return we will support you with varied experiences, training and development to provide a grounding for your future career.
HOW WILL THE PROGRAMME WORK?You will be based at Severn Trent Headquarters in Coventry, the heart of our patch. The programme requires you to complete 3 placements throughout your time in the role, gaining exposure in different areas of the department so that you are equipped with the right skills to build your career here at Severn Trent.
Placement 1 – Working as a Data Engineer you will be working to transform prototype solutions built by the data scientists into robust ML pipelines that serve a production environment. You will learn about the myriad of data sources available to the Data Science team, ingesting, transforming and testing the data to enable the delivery of key, innovative data science initiatives.
As part of the role, you will deploy MLOps best practices, including the monitoring of model performance over time.
Placement 2 – As a Data Analyst, your strong scientific and analytical background will be put to good use working on fresh water and wastewater projects. You will build on the knowledge gained from the first placement, in databases and sources available to perform analysis of the data generating valuable business insights. You will develop analytics solutions to some of the most critical and exciting areas facing Severn Trent today.
Placement 3 – As a Data Scientist, you will apply advanced algorithms and machine learning techniques to solve the business’ most challenging issues, extracting actionable insights that will make a real difference to the operations of Severn Trent. Building on prior experience in Data Engineering and Data Analysis, this placement will involve developing predictive models and supporting innovation that drives operational efficiency and resilience.
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