Engineer the Quantum RevolutionYour expertise can help us shape the future of quantum computing at Oxford Ionics.

View Open Roles

Continuous Water Quality Monitoring (CWQM) Senior Data Analyst

Pertemps
Reading
1 month ago
Applications closed

Related Jobs

View all jobs

Customer Data Analyst

Apprentice Data Scientist

Data Engineer

Data Analyst: Digital Innovation & Regulation - 31556

Carbon Data Analyst

Data Analyst

We have a fantastic opportunity to join the Continuous Water Quality Monitoring (CWQM)team, which will be responsible for the delivery, management, data collection, interpretation, visualisation, and communication of data insights related to CWQM.

What you’ll be doing as a Continuous Water Quality Monitoring (CWQM) Senior Data Analyst

Analyse and interpret complex, multiparameter river water quality data alongside asset and catchment data. Be a Subject Matter Expert (SME) responsible for understanding and communicating the environmental impact of our wastewater discharges using CWQM data and how we can measure impact against existing standards. Carry out daily CWQM data checks, looking at the quality of the data, the trends (diurnal, seasonal, long-term), and any events. Raise concerns around potential pollution with the CWQM team and the wider business appropriately. Using the CWQM data, create detailed, scientific reports to support investigations and provide evidence of the impact of improvement initiatives. Promote the continuous water quality programme internally and ensure the data can be easily understood and communicated.  Hold knowledge share sessions and present the findings from the CWQM data through presentations and workshops. Work closely with the Environmental Engagement team and support Catchment Partnership meetings from a technical perspective as a SME where appropriate.


Base location:Hybrid - Clearwater Court - RG1 8DB

Requirements for the role:avalid UK driving license and or a willingness to travel

What you should bring to the roleField experience related to water quality monitoring/sampling/installation of equipment.Experience in scientific report writing related to water quality.Extensive experience in River water quality data analysis and interpretation.Technical background related to water quality monitoring.Experience handling large data sets and report writing.Strong communication skills and the confidence to present data to different stakeholders.Degree in Science, Engineering, or a related field.Regulatory experience related to river water quality and pollution incidents is desirable.People management experience is desirable.
What’s in it for you?Competitive salary from £55,000 to £65,000 per annum, depending on experience.Annual Leave- 26 days holiday per year, increasing to 30 with the length of service. (plus bank holidays) Generous Pension Scheme through AON.Access to lots of benefits to help you take care of you and your family’s health and wellbeing, and your finances – from annual health MOTs and access to physiotherapy and counselling, to Cycle to Work schemes, shopping vouchers and life assurance.
Find out more about our benefits and perks

Who are we?

We’re the UK’s largest water and wastewater company, with more than 16 million customers relying on us every day to supply water for their taps and toilets. We want to build a better future for all, helping our customers, communities, people, and the planet to thrive. It’s a big job and we’ve got a long way to go, so we need help from passionate and skilled people, committed to making a difference and getting us to where we want to be in the years and decades to come.

Learn more about ourpurpose and values

Working at Thames Water

Thames Water is a unique, rewarding, and diverse place to work, where every day you can make a difference, yet no day is the same. As part of our family, you’ll enjoy fast-tracked career opportunities, flexible working arrangements and excellent benefits.
Whether you’re interested in a role in one of our call centres or science labs, we’re looking for people like you with real passion and a burning desire to make things better.

So, if you’re looking for a sustainable and successful career where you can make a daily difference to millions of people’s lives while helping to protect the world's water for future generations, we’ll be here to support you every step of the way. Together, we can build a better future for our customers, our region and our planet.

Real purpose, real support, real opportunities. Come and join the Thames Water family. Why choose us? Learn more.

Our overarching aim is to ensure that Thames Water is a great, diverse, and inclusive place to work. We welcome applications from everyone and offer extra support for those who need it throughout the recruitment process. We aim to remove any real or perceived barriers to success, so if you need assistance, we’re here to help and support.

When a crisis happens, we all rally around to support our customers. As part of Team Thames, you’ll have the opportunity to sign up to support our customers on the frontline as an ambassador. Full training will be given for what is undoubtedly an incredibly rewarding experience. It’s also a great opportunity to learn more about our business and meet colleagues.

Disclaimer: Due to the high volume of applications we receive, we may close the advert earlier than the advertised date, so we encourage you to apply as soon as possible to avoid disappointment.

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.

Seasonal Hiring Peaks for Machine Learning Jobs: The Best Months to Apply & Why

The UK's machine learning sector has evolved into one of Europe's most intellectually stimulating and financially rewarding technology markets, with roles spanning from junior ML engineers to principal machine learning scientists and heads of artificial intelligence research. With machine learning positions commanding salaries from £32,000 for graduate ML engineers to £160,000+ for senior principal scientists, understanding when organisations actively recruit can dramatically accelerate your career progression in this pioneering and rapidly evolving field. Unlike traditional software engineering roles, machine learning hiring follows distinct patterns influenced by AI research cycles, model development timelines, and algorithmic innovation schedules. The sector's unique combination of mathematical rigour, computational complexity, and real-world application requirements creates predictable hiring windows that strategic professionals can leverage to advance their careers in developing tomorrow's intelligent systems. This comprehensive guide explores the optimal timing for machine learning job applications in the UK, examining how enterprise AI strategies, academic research cycles, and deep learning initiatives influence recruitment patterns, and why strategic timing can determine whether you join a groundbreaking AI research team or miss the opportunity to develop the next generation of machine learning algorithms.

Pre-Employment Checks for Machine Learning Jobs: DBS, References & Right-to-Work and more Explained

Pre-employment screening in machine learning reflects the discipline's unique position at the intersection of artificial intelligence research, algorithmic decision-making, and transformative business automation. Machine learning professionals often have privileged access to proprietary datasets, cutting-edge algorithms, and strategic AI systems that form the foundation of organizational competitive advantage and automated decision-making capabilities. The machine learning industry operates within complex regulatory frameworks spanning AI governance directives, algorithmic accountability requirements, and emerging ML ethics regulations. Machine learning specialists must demonstrate not only technical competence in model development and deployment but also deep understanding of algorithmic fairness, AI safety principles, and the societal implications of automated decision-making at scale. Modern machine learning roles frequently involve developing systems that impact hiring decisions, financial services, healthcare diagnostics, and autonomous operations across multiple regulatory jurisdictions and ethical frameworks simultaneously. The combination of algorithmic influence, predictive capabilities, and automated decision-making authority makes thorough candidate verification essential for maintaining compliance, fairness, and public trust in AI-powered systems.

Why Now Is the Perfect Time to Launch Your Career in Machine Learning: The UK's Intelligence Revolution

The United Kingdom stands at the epicentre of a machine learning revolution that's fundamentally transforming how we solve problems, deliver services, and unlock insights from data at unprecedented scale. From the AI-powered diagnostic systems revolutionising healthcare in Manchester to the algorithmic trading platforms driving London's financial markets, Britain's embrace of intelligent systems has created an extraordinary demand for skilled machine learning professionals that dramatically exceeds the current talent supply. If you've been seeking a career at the forefront of technological innovation or looking to position yourself in one of the most impactful sectors of the digital economy, machine learning represents an exceptional opportunity. The convergence of abundant data availability, computational power accessibility, advanced algorithmic development, and enterprise AI adoption has created perfect conditions for machine learning career success.