Job description
Who are we?
Thames Water is the UK’s largest water and wastewater company. We make a daily difference to our 15 million customers by supplying 2.6 billion litres of water through 32,000 km of pipes, keeping taps flowing and toilets flushing.
At Thames Water, every one of our actions, big and small, matters every day. Water is essential to life, so our business is always open.
What you’ll be doing
We are looking for an analytical Data Scientist to join a team of professionals. Within this role you the Data Scientist will be expected to deliver modelling, analysis and algorithms to solve business and real-world industry problems including leakage and water efficiency, primarily using hourly smart metering data to generate predictive models.
You’ll work closely with other business leads to understand their challenges and needs, you’ll subsequently lead a range of data science opportunities to generate business insight and then work with our product teams and engineers to scale out results into the hands of our staff.
As the Data Scientist in this position, you will be the technical lead to junior analysts and work as part of a team to improve the team technical knowledge, skills and capabilities.
This position will involve:
- Communicating insight and regularly interacting with stakeholders and managing these stakeholders to ensure delivery needs are understood and met
- Application of your problem-solving and creative thinking abilities and supporting the technical development of the consumption services and insight team
- Delivering and evaluating Data Science algorithms and machine learning pipelines
- Automating data analysis and advising on mathematical approaches for problem-solving
- Contributing to product development, support and maintaining data science products
- Leading and delivering multiple projects to time and quality expectations
- Providing direction and support to data engineers and analysts for the data flows and environments requirements necessary to deliver key insight
What you should bring to the role
The required Data Scientist for this position will degree qualified within a quantitative discipline such as mathematics, physics, or computer science. A postgraduate degree in a similar field is an advantage
This position will require:
- Resilience and the ability to build credibility quickly
- Strong mathematical and statistical analysis knowledge and skills
- To be a competent and advanced programmer in Python and SQL
- To fully understand machine learning methods and have experience in their application
- Strong data engineering knowledge and skills and Agile certification
- To have knowledge and experience of the Azure platform and Databricks
What’s in it for you?
This is a permanent position offering a competitive salary depending on experience and suitability to the role. There is also a competitive pension scheme and other wider benefits included within the package.
Our competitive salary package includes an excellent contributory pension, 26 days holiday per year increasing to 30 with the length of service and a wider benefits scheme including our benefits hub, which is packed full of offers and information to save you money and support your well-being.
Thames Water is a dynamic, rewarding and diverse place to work, with opportunities around every corner. If you join our team, you’ll enjoy a fulfilling career and flexible working arrangements.
We’re also proud to embrace and promote diversity and believe that creating a workforce that reflects the communities we serve will help us to thrive. We encourage applications from everyone and offer extra support for those who need it throughout the recruitment process.
We deliver life's essential service so our customers, communities and the environment can thrive. This means, when a crisis happens, we all rally round 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, meet colleagues and a earn bit of extra money along the way.
Disclaimer: due to the high volume of applications we receive, we may close a vacancy earlier than the advertised date. This is so we can manage all the applications properly and give candidates a positive experience. Once closed, we can’t consider any further applications, so please submit your application as soon as possible to avoid disappointment.