Data Analyst/Scientist
Reading
£45k – £55k/yr
Posted 8 days ago
Early applicant
Hybrid
Full-time
Mid Level
Join us at Thames Water and play a pivotal role in shaping the future of water for millions. As a Data Analyst/Scientist, you’ll dig into one of the most fascinating challenges of our time, understanding how water is used across our household and business customer base and how we can protect this essential resource for generations to come. Thames Water is rolling out the UK’s largest smart water meter programme. Analysis of smart meter data is needed to improve water efficiency and customer engagement actions to achieve demand reduction targets and protect our local environment. We need someone to turn data into real-world impact. What you’ll be doing as a Data Analyst/Scientist. Dive into millions of data points from smart meters and customer water consumption to uncover insights that drive real operational change. Turn complex datasets into compelling visual stories using tools like PowerBI — helping colleagues make smarter, faster decisions. Develop sector-leading analysis and data visualisation of domestic and commercial water usage, steering water efficiency programme improvement and advice to policy and regulatory change. Generate insight into household and business sector consumption and quantify the benefits of smart metering and water efficiency interventions. Build predictive models that shape our water strategy, supporting teams across operations, regulation, and long‑term planning. Generate insight into drought events, customer-side water loss volumes, trends and demand reduction options. Collaborate with experts across the business, from leakage teams to digital engineers, to help solve some of our biggest challenges. Base location Hybrid / Reading/London/Swindon Working pattern or hours Monday–Friday, 36 hours per week. 2 days per week in the office. Flexible working may be accommodated. The essential criteria you’ll need are: Experience with SQL, Python, Power Query, Power BI, and modern data transformation techniques. A passion for turning complex data into meaningful, actionable insight. Experience working with large datasets and delivering accurate analytical outputs. Confidence in investigating problems and communicating clear, engaging findings. A collaborative mindset - you enjoy improving processes, systems, and ways of working. A curious, self-driven approach to learning and problem solving. Understanding of statistical modelling, forecasting, and data science methods. Familiarity with Agile ways of working and tools like GitHub. Additional skills and experiences that would be great to bring: Experience with leakage, water usage, or water balance analytics. Background in regulatory reporting or audit. Knowledge of water networks or asset planning. Exposure to Active Leakage Control or PALM principles. Experience with software/product development using Agile or Scrum. Understanding of regulated utilities. Skills in Azure DB Management or Azure DevOps. What’s in it for you? This is more than a data role, it’s your chance to shape the water future of millions. You’ll be joining a team full of smart, driven people who care deeply about making a difference. Expect opportunities to innovate, influence decisions across the business, and grow your expertise in a critical and fast‑evolving field. Competitive salary from £45,000 to £55,000 per annum depending on experience 26 days holiday per year, increasing to 30 with the length of service. (plus bank holidays) Performance-related pay plan directly linked to company performance measures and targets 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.
Skills
SQL
Python
Power Query
Power BI
Data Transformation
Data Analysis
Statistical Modelling
Forecasting
Data Science
Agile
Collaboration
Problem Solving
Data Visualisation
Predictive Modelling
Customer Engagement
Water Efficiency
Location
£45k – £55k/yr
Reading