Associate Data Scientist

Affinity Water

. Collect, clean and analyse structured and unstructured data .

Posted 9/17/2026full-timeHatfield • United KingdomJuniorMid-Level💰 £30,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Proficient in data collection, cleaning, and analysis of structured and unstructured data using Python or R, SQL, and machine learning techniques. Capable of creating data visualizations and communicating insights effectively to both technical and non-technical stakeholders.

Highest-signal resume keywords

Python ProgrammingR ProgrammingSQL Data ManipulationMachine Learning KnowledgeData Visualization

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data CollectionData CleaningData AnalysisStatistical ConceptsMachine LearningPandasNumPyData ExtractionData ManipulationCloud Platforms

Soft Skills

Problem-SolvingAnalytical SkillsClear CommunicationCuriosityCollaboration

Tools & Technologies

AWSGCPAzureGit

Industry Keywords

Data ScienceStatisticsMathematicsData-Driven Decision Making

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformNumpyPandasPythonSQL

About the role

Key responsibilities & impact

Collect, clean and analyse structured and unstructured data
Explore datasets to identify trends, patterns and insights
Support the development and deployment of statistical and machine learning models
Create clear and engaging data visualisations to communicate findings
Use Python or R and SQL to analyse and manipulate data
Work with technical and non-technical stakeholders to understand business needs
Contribute to a collaborative, data-driven team
Keep up to date with new data science tools and techniques
Help make better use of data to support smarter business decisions across Affinity Water

Requirements

What you’ll need

A degree in Data Science, Computer Science, Statistics, Mathematics or a related subject
Experience using Python or R, including tools such as Pandas and NumPy
Knowledge of machine learning and statistical concepts
Experience using SQL for data extraction and manipulation
Strong problem-solving and analytical skills
Ability to explain complex data and insights clearly
Experience working with datasets through academic projects, internships or previous roles
Curious, proactive approach and willingness to learn
Ability to work collaboratively and manage changing priorities
Experience with cloud platforms such as AWS, GCP or Azure, or version control tools such as Git — desirable

Benefits

Comp & perks

Learning and development opportunities, including mentoring, formal courses and open learning resources
Entry into the company annual bonus scheme
Annual leave from 26–30 days, rising with length of service
Option to purchase up to 5 extra days of annual leave
Celebration Day in addition to public holidays
Double match pension scheme, with company contribution capped at 12%
Enhanced Maternity, Adoption, Paternity and Shared Parental Leave
Fertility Support Leave
Up to 5 full or 10 half days of paid Carers Leave
Menopause policy and Reasonable Adjustment policy
Access to Wellbeing Centre supporting physical and mental health
Discounts at retail outlets through Tap4Perks
Discounts on Dental and Medical Insurance through Tap4Perks salary sacrifice
Up to 4 Affinity days per year to volunteer in the community
Life Assurance