Data Analyst - Water Asset Management

RPS Group
Edinburgh
9 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst - Water Asset Management

The RPS Water Consultancy business is currently looking to appoint a Data Analyst. Our Data Analysts work within our team to provide specific data management support on water and / or wastewater projects to drive increased intelligence for internal and/or external benefit, enhance data driven insights and processes. This will require the ability to increase situational awareness for our clients, building actionable insights to support their strategic objectives.

About The Team:

RPS Water Consulting is a team of Engineers, Modellers, and Data Analysts providing Asset Management and Operational Strategy development, to our Water Industry clients to support business planning and delivery. This is an evolving industry, providing challenges and opportunities that require innovation, dedication, and teamwork to help us meet our clients’ needs.

Our Water Consultancy business has a range of prestigious AMP8 programmes leading into AMP9 and beyond, where you’ll be securing your career for the next 20 years, leaving a lasting legacy!

About You:

As a key member of the Water Consultancy business, your role as Data Analyst is critical to helping us deliver great projects for our Water Industry clients. You will be working alongside a multi-disciplinary team of water project experts on a range of capital delivery projects.

By joining us, you're not just taking on exciting projects and collaborating with leading minds. You're making a meaningful impact on millions of lives the UK, leaving a legacy for generations to come. As a valuable member of our team, you'll play a crucial role in the water industry, and work with the largest water companies in the region, ensuring a positive and enduring influence on the communities we serve. If you're ready to contribute your skills and expertise to a dynamic and innovative environment, we invite you to join us on this exciting journey.

Your Responsibilities:

Supporting and assistance on clean water and wastewater asset management projects such as such as (but not limited to) Drainage and Wastewater Management Plans; Leakage Analytics and other projects requiring detailed technical analysis. A Data Analyst would be responsible for delivery of these projects. Support senior team members in their delivery for a range of water and wastewater projects, whilst a Data Analyst would be expected to additionally show project and team leading responsibilities to support the Team Leader / Technical Manager in the delivery for a range of clean water and wastewater projects. Work closely with internal and external clients to ensure delivery of large size projects are on time, within quality expectations and are financially profitable. Development of opportunities through client engagement. You will be able to provide advice and support to less experienced colleagues that may be under your line management and beyond to further their career development.

Skills, Knowledge, and Experience:

You must have a knowledge and experience of GIS packages . ARC GIS, QGIS, MapInfo etc Experience with working with large datasets using programming skills, data manipulation and visualisation. You will have experience in the specific understanding of programming languages such as Python, SQL, FME and Ruby Script enabling integration and enhancement of BAU activities. You will have demonstrable experience in discipline specific data analysis packages, which may be water focused such as InfoWorks or InfoAsset. General understanding of the UK water industry, with a strong association to asset management. Excellent presentation, written and verbal communication skillsYou will be expected to demonstrate relevant experience in data management or modelling background at either a consultancy, water company or regulator. You will be expected to have proficiency in MS 365 applications, and have knowledge in key areas such as advanced Excel and Visual Basic

Qualifications:

Preferably Degree qualified in a relevant technical subject. Post graduate qualifications an advantage Working towards Chartership / Incorporated Member of Institution . CIWEM, IAM or be able to demonstrate progression towards Chartership (through structured training or informal mentoring). Full UK Driving Licence preferable.

What’s in it for you?

A personal development plan and a transparent career pathway puts you in the driving seat of your career and you’ll be supported as far as you want to go.

We encourage and value different ideas, perspectives, and styles of thinking. We need a mix of experiences and skills to develop the most innovative ideas. We respect one another and recognise the potential and contribution of everyone. You’ll be joining a diverse community and a company that puts its people first and prioritises their well-being.

A career here is far from ordinary. Here you’re not a number, you are part of the solution.

Why RPS?

We’re a connected community, working together to achieve exceptional outcomes. We understand the need to work flexibly, empowering our people to create a work-life balance that’s right for them. We also understand the importance of collaboration and social connection in the office environment. With agile offices and hybrid working offered as standard, we trust our people to find the right balance to meet client needs – this is a workplace that works for you.

RPS, A Tetra Tech company:

Representing an exciting new chapter in our business, on 24 January 2023, RPS became a Tetra Tech company. With over 28,000 employees in more than 550 offices in more than 120 countries on seven continents, Tetra Tech is a leading, global provider of consulting and engineering services. As a Tetra Tech company, RPS is proud to offer our people market-leading development and project opportunities, helping to solve some of the world’s most complex problems.

Come and join our team and truly make a difference in the future of water!

#LI-MM1 #LI-REMOTE #LI-HYBRID

Our commitment to Diversityand Inclusion
Mindful that a truly inclusiveorganization must make appropriate use of talent on a global basis and withoutunnecessary barriers, we are committed to embedding diversity and inclusionprinciples in all People processes in order to be as diverse as the communitiesand clients we work with, thereby securing, developing, and retaining the bestavailable talent for the company’s future.

Our approach to Diversityand inclusion
Our people live our purpose,deliver our promise, and demonstrate our behaviours every day. Our behavioursdefine who we are. Developed by our people, they underpin everything that wedo. They create the memorable experiences we are known for and make RPS a greatplace to do great work.
‘Stronger Together’ is one ofour five core behaviours and it is inherent in creating an inclusive workplace:
‘We are respectful,acknowledge diversity, and recognise the potential and contribution ofeveryone. We bring out the best in one another, always assuming best intent.People who learn and grow thrive in our business, sharing in our success.’

Recruitment Agencies
We have a Preferred Supplier List oftrusted partners to assist us when required and do not acknowledge anyspeculative CVs or unsolicited candidate introductions from agencies not onthis list. Please refer to the careers page on our website if you require anyfurther information.

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Jobs

Rural-Remote Machine Learning Jobs: Finding Balance Beyond the Big Cities

Over the past decade, machine learning (ML) has transformed from a niche research domain into a pervasive technology underpinning everything from recommendation systems and voice assistants to financial forecasting and autonomous vehicles. Historically, the UK’s major tech hubs—particularly London—have been magnets for top ML talent and corporate headquarters. However, remote work has become mainstream, and many ML professionals are realising they can excel in their field while living far beyond the city limits. At MachineLearningJobs.co.uk, we’ve observed a growing interest in positions that allow for a rural lifestyle or a coastal environment, often reflected in search terms like “ML remote countryside” or “tech jobs by the sea.” This surge is no coincidence. Flexible work policies, better rural broadband, and the nature of machine learning tasks—much of which can be done through cloud platforms—are bringing new opportunities to those who wish to swap urban hustle for fresh air and scenic views. Whether you’re a data scientist, ML engineer, researcher, or product manager, a rural or seaside move could reinvigorate your work-life balance. In this article, we’ll unpack why rural-remote ML jobs are on the rise, how you can navigate the challenges of leaving the city, and what you need to do to thrive in a machine learning career beyond the M25. If you’ve dreamt of looking up from your laptop to rolling fields or ocean waves, keep reading—your rural ML role might be closer than you think.

Jobs

Quantum-Enhanced Machine Learning—Propelling AI into the Next Frontier

Machine learning (ML) has revolutionised how we interpret data, build predictive models, and create intelligent applications. From recommendation engines and self-driving cars to advanced genomics and natural language processing, ML solutions are integral to nearly every corner of modern life. However, as data complexity and model size continue to skyrocket, the computational demands placed on ML systems grow in tandem—often pushing even high-performance classical computers to their limits. In recent years, quantum computing has emerged as a tantalising solution to these challenges. Unlike traditional digital systems, quantum computers exploit quantum mechanics—superposition and entanglement—to process information in ways that defy conventional logic. As these machines mature, they promise exponential speed-ups for certain tasks, potentially reshaping how we approach AI and data-intensive challenges. What does this mean for machine learning? Enter quantum-enhanced ML, a new frontier where quantum processors and classical ML frameworks unite to accelerate model training, tackle high-dimensional data, and solve complex optimisation tasks more efficiently. In this article, we will: Unpack the current state of machine learning, highlighting key bottlenecks. Provide a concise overview of quantum computing—why it’s radical and how it differs from classical technology. Examine potential breakthroughs in quantum-enhanced ML, including real-world use cases and technical approaches. Explore the roles and skill sets that will define this quantum-AI era, with guidance on how to prepare. Discuss the roadblocks (like hardware maturity and ethical concerns) and how they might be addressed in the years to come. If you’re a machine learning engineer, data scientist, or simply an AI enthusiast fascinated by the next wave of computational innovation, read on—quantum computing could become an integral part of your future toolkit, opening up job opportunities and reimagining what ML can achieve.

Jobs

Machine Learning Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Machine learning (ML) has become the beating heart of modern tech innovation, powering breakthroughs in healthcare, finance, cybersecurity, robotics, and more. Across the United Kingdom, this surge in ML-driven solutions is fueling the success of countless start-ups—and spurring demand for talented machine learning engineers, data scientists, and related professionals. If you’re eager to join a high-growth ML company or simply want to keep tabs on the latest trends, this Q3 2025 Investment Tracker will guide you through the newly funded UK start-ups pushing the boundaries of ML. In this article, we’ll highlight key developments from Q3 2025, delve into the most promising newly funded ventures, and shed light on the machine learning roles they’re urgently seeking to fill. Plus, we’ll show you how to connect with these employers via MachineLearningJobs.co.uk, a dedicated platform for ML job seekers. Let’s dive in!

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.