Senior Wastewater Network Modeller - Expression of Interest

Stantec
Glasgow
10 months ago
Applications closed

Related Jobs

View all jobs

Senior Machine Learning Research Engineer

Senior Data Scientist

Senior Machine Learning Scientist

Senior Machine Learning Engineer

Senior Data Scientist and Machine Learning Researcher

Senior Machine Learning Engineer

Join Stantec's Network Modelling teams and make a real impact on our communities!

Stantec's specialist modelling team is working with major regulated water companies across the UK & Ireland and has developed a reputation as one of the industry leaders in the discipline.

As part of a multidisciplinary service, we engage with projects from conception through to delivery, driving innovation & excellence in everything we do. The variety in our work ensures our teams develop a broad skillset, with the opportunity to deliver projects which improve water quality, manage urban pollution and contribute to Stantec’s environmental commitments.

Along with an exciting portfolio of work, our team are also at the forefront of developing digital solutions & smart applications, led by industry recognised specialists across the business.

Thanks to our reputation in the market, our pipeline of work has continued to grow and we are interested in hearing expressions of interest from Senior Wastewater Network Modellers to join us in Glasgowor Edinburgh over the coming weeks and months.

The role will involve taking part in the planning, programming, and coordinating of urban drainage projects while ensuring delivery excellence, technical governance and best practices are upheld. You will also play a role in developing and managing more junior modellers in the team, along with supporting cost estimates and bid preparation.

You will be working as part of an interdisciplinary team made up of 175 personnel from Stantec, across 13 UK offices and a team in Pune, along with our clients and consultant/contractor partners, collaborating to deliver projects throughout the UK & Ireland. This is a great opportunity to join an ambitious and innovative team of engineers, working on a specialist modelling framework whilst contributing to industry leading projects.

You can find out more about our work in the water sector here: Stantec H2O+U - UK

ABOUT YOU

You will be degree qualified (or equivalent) in Civil Engineering, or other relevant subject, and be a member of an industry relevant institution e.g. ICE, CIWEM. You will have previous experience leading projects in an urban drainage environment, demonstrate technical experience covering a wide range of urban drainage modelling activities and a full working knowledge of InfoWorks ICM.

The successful candidate will have experience in the management and development of staff as well as the ability to integrate well into a team and provide technical leadership to other modelling staff as a leader in an urban drainage environment with an excellent client service focus. Experience in data science would also be beneficial, but is not essential.

Most importantly, you’ll embody our values and ethos of client focus and service excellence.

Why Join Us

This is an exciting time to join Stantec, with the opportunity to tackle challenging new projects across the region and growth plans extending throughout the next AMP cycle. In addition, all employees have access to our company wide benefits, including:

Individualised development plan alongside company wide org structure highlighting pathway for progression, ensuring you always know where your career is heading

Private medical insurance, group income protection & life assurance included as standard

Flexi-working and hybrid working pattern to help you to find the right work life balance for you

Lucrative employee referral scheme

Culture of inclusivity, where we celebrate diversity and put “doing what’s right” at the forefront of everything we do

Award winning consultancy with a commitment to achieving our ambitious environmental goals

#UKUDM #ScotlandOpps

About Stantec

The Stantec community unites more than 31,000 employees working in over 450 locations across 6 continents. We have been working with our clients and communities in the UK for over 150 years. We plan, design, deliver and manage the development and infrastructure needed to support the creation of sustainable, healthy and prosperous communities.

Our teams provide effective and relevant solutions, translating our clients’ vision into valued consents, deliverable plans for projects and programmes, and efficient designs for delivery, based on technical excellence and deep market insights. We deal with today’s challenges, but also keep a fairer, better tomorrow in sight, looking at how we deliver clean growth, support radical changes in our economy and meet the needs of future communities.

Stantec provides equal employment opportunities to all qualified employees and applicants for future and current employment and prohibit discrimination on the grounds of race, colour, religion, sex, national origin, age, marital status, genetic information, disability, sexual orientation, gender identity or gender expression. We prohibit discrimination in decisions concerning recruitment, hiring, referral, promotion, compensation, fringe benefits, job training, terminations or any other condition of employment. Stantec is in compliance with laws and regulations and ensures equitable opportunities in all aspects of employment.

Building an inspired, inclusive work environment that attracts, supports, and develops world-class talent is a crucial key to our success. If you are excited by this role but worry that your experience doesn’t exactly align, we encourage you to apply.

At Stantec we want you to perform your best at every stage of the recruitment process and are committed to ensuring it is accessible to all. If you need any support or require adjustments to be made then please contact careers.UK& we will talk to you about how we can support you.

ReqID:6927

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.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

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

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

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

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.