Senior Asset Analytics & Predictive ML Specialist

Anglian Water; Peterborough; On-site; GBP 41,000 - 50,000; Full time

Benefits offered by this job

Private healthcare

Pension scheme (double matches)

Life assurance

Annual bonus

Car allowance (depending on mileage)

Medical assessments

Virtual GP

Cancer screening

Wellbeing benefits

Employee assistance

Volunteer days

Job summary

Anglian Water is seeking an experienced analyst to stay hands-on while acting as a technical specialist in Strategic Asset Management, developing predictive analytics and ML solutions to guide investment and asset management decisions.

You will collaborate with Data Scientists, Data Engineers and business stakeholders to turn data into actionable insights that deliver value for customers and the environment, with opportunities to work on Azure and Databricks in desirable projects.

Qualifications

• Degree or equivalent practical experience in data science, statistics or ML.
• Strong SQL and Python/R skills with experience in analytics projects.
• Experience delivering analytics products that drive business value.
• Experience using Power BI or similar tools.

Responsibilities

• Deliver advanced analytics and dashboards to support decision‑making.
• Build predictive models and forecasting for asset management.
• Develop scalable data pipelines and analytical workflows.
• Explain findings with clear storytelling to technical and non‑technical audiences.
• Collaborate with Data Scientists and Data Engineers.
• Identify opportunities to apply AI to business problems.
• Support investment planning and asset management decisions.
• Work on innovation programs leveraging AI.

Skills

Advanced SQL

Python/R

Data Analytics

Machine Learning

Data Visualization (Power BI)

Education

Degree in Data Science / Statistics / ML

Tools

Power BI

Job description

Anglian Water is seeking an experienced analyst to stay hands-on while acting as a technical specialist in Strategic Asset Management, developing predictive analytics and ML solutions to guide investment and asset management decisions.

You will collaborate with Data Scientists, Data Engineers and business stakeholders to turn data into actionable insights that deliver value for customers and the environment, with opportunities to work on Azure and Databricks in desirable projects.