Statistical Lead

RPS Tetratech are opening a new position for a Statistical Lead in our growing Water Consultancy. In this role you will be at the centre of the team and become involved in multiple projects, which will suit a resourceful collaborator who is energized by problem solving to deliver the best client outcomes.

Many metrics used in the water industry do not lend themselves to parametric analysis, probabilistic averaging or conventional understandings of confidence intervals or data cleansing. Time series analyses are conflated with causality and cumulative sample bias issues. Taken together these issues confront us with a complex statistical environment that requires a deep insight and understanding combined with pragmatism to best represent the real world in the statistical domain with due regard to established reporting methodologies and requirements.

RPS Water Consulting is a team of Engineers, Modellers, and Data Analysts providing Asset Management, Data Analytics, 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!

As a key member of the Water Consultancy business, your role as Statistical Lead 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 data driven 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 in 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.

• Support analysts and modellers in identifying optimal modelling and testing methodologies
• Ensure consistency with established reporting requirements and methodologies
• Audit statistical and modelling processes and outputs within RPS projects and assist clients in same on a consultancy basis
• Assist with the preparation of client reports, outputs and proposals and liaise as required
• Ensure the accurate reporting of statistical and modelling processes
• Collate and disseminate preferred approaches to statistical methods such as outlier identification and exclusion on water industry specific data
• Respond to ad-hoc queries internally and from clients as required
• Mentor the wider team in the correct use of statistical methods

• Formal training in statistics or a statistically based subject to a minimum of degree level
• A wide understanding of non-parametric statistics and confidence intervals in lognormal, binomial and unclassified distributions
• A sound working knowledge of probabilistic, regression and ML modelling methods
• An understanding of econometric methods would be advantageous
• The ability to interpret Python code and Excel macros would be advantageous
• An understanding of the water industry regulatory framework and reporting would be advantageous

• Degree qualified in a relevant technical subject, such as mathematics, engineering, epidemiology or natural sciences, or financial disciplines
• Postgraduate qualifications are an advantage.

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…