Senior Asset Data Analyst Data Scientist

• Deliver advanced analytics dashboards and insight products that support strategic and operational decision-making.

• Apply statistical analysis predictiveanalyticsand machine learning techniques to complex asset management challenges.

• Develop forecastingregressionand classification models that improve performance and support investment planning.

• Build repeatable scalable data pipelines and analytical workflows to improve efficiency and insight delivery.

• Use storytelling andvisualisationtechniques to translate complex findings into clear recommendations for both technical and non-technical audiences.

• Work alongside Data Scientists and Data Engineers to develop and scale innovative analytical solutions.

• Identifyopportunities to apply analytics predictivemodellingand AI-enabled approaches to business problems.

• Work with innovation programs toleverageAI and other emerging technologies.

• Degree qualification in Data Science Statistics MachineLearningarelated discipline or equivalent practical experience.

• Advanced SQL and Python and/or R skills.

• Experience delivering complex analytics and insight products that drive business value.Strong understanding of statistical analysis predictiveanalyticsand machine learning techniques.

• Experience using Power BI or equivalent datavisualisationtools.

• Strong understanding of data modelling datastructuresand working with complex datasets.

• Be naturally curious with a passion for exploring data andidentifyingopportunities to create business value.

• Take ownership of your work delivering high-quality outputs with attention to detail.

• Be proactive inidentifyingopportunities to improve processesanalyticsand business outcomes.

• Balance innovation with pragmatism focusing on solutions that deliver measurable value.

• Have a strong analytical mindset and enjoy solving complex problems.

• Be self-motivating

Desirable:Experience working with senior stakeholders building automated data pipelines and exposure to cloud platforms such as Azure and Databricks. Experience working within multidisciplinary analyticsengineeringor data science teams would also beadvantageous.

• Exposure toadvanced analytics predictive modelling machinelearningand emerging AI technologies.

• Collaboration with a growing community of analysts Data Scientists and Data Engineers.

• Opportunities to shape the future direction of analytics capability within Strategic Asset Management.

• Ongoing development of your technicalexpertisethrough challenging high-impact projects.

• Opportunities for further trainingdevelopmentandto jointhe Institute of Asset Management (IAM).

Youllplay a key role in developing Anglian Waters future analytics capability helping embed predictive analytics machinelearningand AI-enabled approaches into strategic asset management.

This role offers the opportunity to make a visible impact across the business whileremaininghands-on with advanced analytics.Youllwork with modern technologies collaborate with talented dataprofessionalsand help shape how data-driven decisions are made across our asset portfolio.

Ifyourepassionate about using data science and analytics to solve meaningful business challengeswedlove to hear from you.

• 26 daysannual leave plus bank holidays (increasing with length of service)

• Flexible working options

• Private health care

• Competitive pension scheme - Anglian Water double-matches contributions up to 7%

• Life assurance at eight times your salary

• Annual bonus

• Potential funded car allowance depending on evidenced business mileage

• Personal medical assessments

• Virtual GP service

• Cancer screening

• Financial wellbeing support and salary finance benefits

• Lifestyle savings including discounts on retailtraveland utilities

• Employee AssistanceProgramme

• Volunteer days

We are committed to creating a workplace where everyone feels they belong. We are proud signatories of the Social Mobility Pledge Race at Work Charter and Armed Forces Covenant and we are a Disability Confident employer.