Data Scientist

Affinity Water has an opportunity for a Data Scientist to join a passionate collaborative team defining and delivering our Data Strategy and Data Operations function within Technology and Transformation where the right individual can make a real impact and transform our business through data science.

You will work on groundbreaking projects that drive our organisation forward. From predictive analytics to machine learning applications, there is a vast range of data, from customer and water supply and savings projects to asset performance and water network infrastructure preventative measures, your work will shape the future of our IT strategy and directly impact the environment and communities, contributing to the global mission of sustainable water management.

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The role

The Data Scientist will work with a team of data professionals ranging from data analytics to data governance across all business areas to identify and deliver transformational data science models and analytics solutions to drive key business decisions and strategies. The successful candidate will possess a deep understanding of advanced statistical methods, machine learning techniques, and big data technologies to deliver innovative solutions. Through meticulous analysis, strategic thinking, and continuous learning, you will connect to multiple data sources and domains to unlock new opportunities, solve critical challenges, and contribute to a culture of informed decision-making and continuous improvement.

Principal Accountabilities

:
Data Collection and Analysi

• s:Perform initial discovery and data analysis, collaborating with Data Analysts, Data Engineers, and business SME
• s.Ensure data integrity, quality, and security principles and best practices in collaboration with the Data Governance Lea
• d.Develop and maintain automated data pipelines and workflows for data collection, analysis, and reportin

g.Model Development and Evaluatio

• n:Utilise machine learning, deep learning, NLP, generative AI, and other advanced statistical methods to build predictive and descriptive model
• s.Validate and refine models to ensure accuracy and reliabilit

y.Business Engagement & Problem Solvin

• g:Collaborate with stakeholders across all business functions to understand challenges and objective
• s.Communicate findings and recommendations to non-technical stakeholders through clear visualisation
• s.Identify opportunities for leveraging data to drive business strategie

s.Innovation & Researc

• h:Stay updated with the latest advancements in data science and machine learnin
• g.Conduct research to explore new methodologies and applications in the water secto

r.Governance, Ethics and Complianc

• e:Ensure data practices adhere to ethical standards and regulatory requirement
• s.Implement best practices for data management, governance, and quality assuranc

e.Assurance & Suppor

• t:Provide 2nd / 3rd line support for data science models in production environment
• s.Support the administration, installation, and configuration of existing data science models and infrastructur
• e.Handle incidents and requests efficiently, ensuring thorough documentation and knowledge transfer to colleague

s.
Person Specificati

on:Qualifications / Knowledge / Experien

• ce:Proficient in Python, R, shell, and S
• QL.Extensive experience with machine learning & deep learning frameworks (e.g., TensorFlow, PyTorch, Scikit-lear
• n).Experience in connecting to and building APIs for processing large and complex data se
• ts.Ability to present data insights to a range of technical and non-technical audienc
• es.Skilled in building credible statistical models and using best coding practic
• es.Knowledge of various learning algorithms (supervised, unsupervised, reinforcemen
• t).Experience with AWS services and deployment methodologi
• es.Competent in handling large datasets, both structured and unstructur
• ed.Thorough understanding of open data sources and big data sets in the water indust
• ry.Experience with MLOps practices is desirab
• le.Understanding of data governance and data management frameworks is desirab

le.
Personal Skills and Key Competenc

• ies:Degree in Data Science, Computer Science, Statistics, Mathematics, or related fi
• eld.Minimum of 5 years’ experience in data science, with a proven track record in leading and managing proje
• cts.Strong analytical and problem-solving ski
• lls.Excellent communication and presentation ski
• lls.Experience in agile project deliv
• ery.Self-motivated, flexible, team player with a positive appro

ach.
Benefits inc

• lude:We are committed to your continuous learning and development. Access to top-tier training programs, conferences, and certifications will ensure you stay ahead in your f
• ield.Salary dependant on exper
• ienceAnnual leave 26 days, plus a celebration day, plus bank holidays, rising with length of se
• rviceA generous pension scheme that doubles the contributions you make, up to a maximum o
• f 12%We offer enhanced Maternity, Adoption and Shared Parental Leave. We also have a Carers policy and Menopause policy to help us support our people through different stages of their l
• ives.Company bonus s
• chemeAccess to our Wellbeing Centre with support for looking after your physical and mental h
• ealthHybrid working: Improve your home-work balance with the opportunity for hybrid wo
• rkingJoin a diverse and inclusive team where your ideas are valued. Collaborate with experts across various domains to deliver impactful solut

ions.
You can find out what it’s like to work at Affinity Water through our career site https://www.affinitywatercareers.co.uk/ where our colleagues share their career development stories and you can get a feel for our company cu

lture.Affinity Water recognises the benefits of greater diversity in our workforce to better reflect the communities we serve. We are committed to building a more inclusive culture where every member of our workforce can t

hrive.How to Apply: If you are passionate about data science and eager to contribute to a data-driven future at Affinity Water, we encourage you to apply. Please submit your CV and a cover letter detailing your relevant experience and why you would be a great fit for this