Wastewater Data Analyst

Dŵr Cymru Cyf
Newport
1 year ago
Applications closed

Related Jobs

View all jobs

Environmental Data Analyst Apprentice

Portfolio Revenue & Debt Data Scientist

Who we are

Dŵr Cymru Welsh Water keep 3 million people healthy each day with safe, reliable water, and take away wastewater to clean, before returning it safely to our beautiful rivers and seas.

To be able to deliver high quality, essential services which help to protect the health of our customers, colleagues and our environment, we need the right people to deliver on our vision. This is achieved by living our core values and demonstrating the core behaviours that underpin them. The security of our people, assets and information is key to us, so we are looking for people who understand and comply with the company’s required security objectives.

We know that the most successful teams are the most diverse teams. Equality, diversity and inclusion provide the very foundation to our culture at Welsh Water. We want every individual to feel confident, proud and able to bring their whole selves to work. 

To ensure an improved representation in our workforce, applications are particularly welcome from minority groups including Black, Asian and Minority Ethnic people, Females, LGBT+, Non-binary and people with disabilities. Together we continue to build a workplace that not only celebrates the diverse voices of our colleagues but also represents each customer we serve.

In essence, ours is a company based on trust, openness, respect, commitment and honesty. A company that our colleagues are proud to work for.

Dŵr Cymru Cyf, a limited company registered in Wales No. 2366777. Registered office: Linea, Fortran Road, St. Mellons, Cardiff CF3 0LT © Dŵr Cymru Cyf 2019.
Job Segment:Database, Data Analyst, Compliance, Business Intelligence, Quality Assurance, Technology, Data, Legal

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 Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

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

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.