Senior Asset Data Analyst / Data Scientist

Anglian Water Group Ltd.

Peterborough

On-site

GBP 41,000 - 50,000

Full time

14 days+

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Benefits offered by this job

Double matched pension up to 21%
Private healthcare
Flexible working options

Job summary

Anglian Water is seeking an experienced data scientist/analyst to deliver advanced analytics, dashboards and insight products across strategic and operational decision-making. You will apply statistical analysis, ML techniques and forecasting to complex asset management challenges, building scalable pipelines and collaborations with data professionals.

You will translate findings into clear recommendations, engage with senior stakeholders, and contribute to innovative AI-enabled solutions within

Qualifications

  • Degree qualification in Data Science, Statistics, Machine Learning, 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, predictive analytics and machine learning techniques.
  • Experience using Power BI or equivalent data visualization tools.
  • Strong understanding of data modelling, data structures and working with complex datasets.
  • Be curious, take ownership, and proactively improve processes and outcomes.

Responsibilities

  • Deliver advanced analytics, dashboards and insight products that support strategic and operational decision-making.
  • Apply statistical analysis, predictive analytics and ML techniques to asset management challenges.
  • Develop forecasting, regression and classification models to improve performance and investment planning.
  • Build scalable data pipelines and analytical workflows to improve efficiency and insight delivery.
  • Translate complex findings into clear recommendations for technical and non-technical audiences.
  • Collaborate with Data Scientists and Data Engineers to scale analytical solutions.
  • Identify opportunities to apply analytics and AI-enabled approaches to business problems.
  • Support innovation programs to leverage AI and emerging technologies.

Skills

SQL
Python
R
Power BI
Statistics
Machine learning
Data visualization
Data modelling
Stakeholder engagement

Education

Degree in Data Science/Statistics/Machine Learning

Tools

Databricks
Azure

Job description

Circa £45,000 (Dependent on skills and experience) Permanent Full Time / 37 Hours Peterborough - Hybrid (Monday in office) Double Matched Pension Scheme (up to 21% combined) Private Healthcare

What you’ll be doing
  • Deliver advanced analytics, dashboards and insight products that support strategic and operational decision-making.
  • Apply statistical analysis, predictive analytics and machine learning techniques to complex asset management challenges.
  • Develop forecasting, regression and 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 and visualisation techniques 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.
  • Identify opportunities to apply analytics, predictive modelling and AI-enabled approaches to business problems.
  • Work with innovation programs to leverage AI and other emerging technologies.
What we’re looking for
  • Technical Experience – Degree qualification in Data Science, Statistics, Machine Learning, a related 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, predictive analytics and machine learning techniques.
  • Experience using Power BI or equivalent data visualisation tools.
  • Strong understanding of data modelling, data structures and working with complex datasets.
  • Skills & Behaviours – Be naturally curious, with a passion for exploring data and identifying opportunities to create business value.
  • Take ownership of your work, delivering high-quality outputs with attention to detail.
  • Be proactive in identifying opportunities to improve processes, analytics and 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 analytics, engineering or data science teams would also be advantageous.
What you’ll gain
  • Exposure to advanced analytics, predictive modelling, machine learning and 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 technical expertise through challenging, high-impact projects.
  • Opportunities for further training, development and to join the Institute of Asset Management (IAM).
Why join Anglian Water?

You’ll play a key role in developing Anglian Water’s future analytics capability, helping embed predictive analytics, machine learning and AI-enabled approaches into strategic asset management. This role offers the opportunity to make a visible impact across the business while remaining hands‑on with advanced analytics. You’ll work with modern technologies, collaborate with talented data professionals and help shape how data-driven decisions are made across our asset portfolio. If you’re passionate about using data science and analytics to solve meaningful business challenges, we’d love to hear from you.

Benefits
  • 26 days annual 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 retail, travel and utilities
  • Employee Assistance Programme
  • Volunteer days
Inclusion at Anglian Water

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.

We are committed to reflect the diversity of the communities we serve in both our workforce and our supply chain partners to help us to understand and meet the needs of our customers. We are passionate and dedicated to the learning and development of our people, making sure they have the right skills and knowledge to be successful and to help achieve their potential. We want to give everyone equal access to our recruitment process. If you have a disability or long‑term condition, including neurodiversity and mental health conditions, we’ll support you throughout your application, and make any adjustments to make sure your disability or long‑term condition is not a barrier to recruitment. If you need any support, please reach out to our team resourcing@anglianwater.co.uk.

If you are offered a job with us, you’ll be subject to the relevant employment checks for your role, which could include references, driving licence check, DBS Check as well as your right to work in the UK.

Closing Date: Monday 24th August 2026

Become a part of Anglian Water’s future and join us on our journey as we live through our values to build trust, do the right thing, and are always exploring, to bring environmental and social prosperity to the region.

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