Data Scientist

Robert Walters is proud to partner with Trident Intelligent Solutions, a local, data-driven technology firm, to appoint their next Data Scientist. Trident empowers their clients through intelligent and predictive analytics, currently focused on delivering impactful insights in the water industry. Partnering with Trident offers their clients a new perspective on how to gain the best out of their data through exciting innovation.

I am recruiting for an experienced Data Scientist to join their growing team of 10 talented individuals. In the first 3–4 months, you will focus on a key client engagement, building predictive models that enhance water system management. Your work will play a critical role in predicting leaks and bursts, forecasting leak rates, and anticipating customer demand—delivering real-world value through advanced data science. You will have the opportunity to develop your technical skills through the mentorship of the founders and also help lead a team of juniors. Further down the line, this role will then look to expand its responsibilities into other client accounts and tasks.

Some Key Responsibilities of the Role:

• Design and deploy predictive models for leak and burst detection in water networks.
• Perform time-series forecasting of customer demand and leak rates.
• Collaborate with engineers, analysts, and stakeholders to translate requirements into actionable data science solutions.
• Attend client-facing meetings, explaining the solutions on offer.
• Use SQL to extract, clean, and transform data from complex databases.
• Contribute to and improve MLOps workflows for scalable, maintainable model deployment.
• Clearly present insights and recommendations to both internal teams and client stakeholders.

Preferred Requirements:

• BSc or MSc in a relevant subject such as STEM, Data Science, Machine Learning etc + 2/3 years commercial experience.
• Strong proficient experience in Python for data analysis, modelling, and deployment.
• Advanced skills in SQL for data manipulation and querying.
• Strong understanding of machine learning, statistics, and time-series forecasting techniques.
• Proven ability to communicate complex findings to both technical and non-technical audiences.
• Familiarity with MLOps principles including deployment, version control, and monitoring would be a great plus. A strong interest will also be considered.
• Self-driven with the ability to manage and deliver complex projects independently.

The role is paying a salary of up to £45,000 per annum and comes with a wealth of benefits including 25 days of annual leave, company pension, life assurance 4x the salary, company income protection scheme and more. The business is expected to move into fantastic new offices shortly which will also provide parking, padel courts, on-site gym, cafes and more. The role is a remote-first role with occasional office visits in Cheshire East. These can be more frequent if you would like more face time.

Apply within if you feel this role is of interest to yourself.