Associate Data Scientist

Affinity Water; Hatfield; Hybrid; GBP 80,000 - 100,000; Full time

Job summary

A leading water utility company in Hatfield seeks an Associate Data Scientist to support data science efforts by extracting insights from complex datasets. Ideal for recent graduates, the role involves data analysis, model development, and collaboration across teams. The successful candidate will work in a hybrid environment and enjoy various employee benefits, including a competitive salary of approximately £30,000 per annum.

Benefits

Annual leave starting at 26 days

Double match pension scheme

Life Assurance

Wellbeing Centre for health support

Access to community volunteering days

Qualifications

• Experience with real-world datasets through academic projects or internships.
• Knowledge of statistical concepts such as hypothesis testing and regression analysis.
• Ability to work collaboratively across cross-functional teams.

Responsibilities

• Collect, clean, and preprocess structured and unstructured data for analysis.
• Perform exploratory data analysis (EDA) to uncover trends and patterns.
• Develop and implement statistical models and machine learning algorithms.
• Assist in deploying models into production and monitor their performance.
• Work with stakeholders to translate business challenges into analytical tasks.
• Design clear, compelling data visualisations to communicate insights effectively.

Skills

Python

R

Machine Learning

SQL

Data Analysis

Data Visualization

Problem Solving

Communication

Education

Bachelor's degree in Data Science or related field

Tools

Pandas

NumPy

Git

AWS

GCP

Azure

Job description

Overview

At Affinity Water, we're launching an exciting two-year programme to revolutionise our performance reporting, visualisation, and insight capabilities at scale and speed. To accelerate this vision, we're growing our Data Strategy & Operations team. As an Associate Data Scientist, you'll support our data science efforts by extracting valuable insights from complex datasets to help shape business strategies. This role is perfect for recent graduates or those early in their data science careers who are eager to apply their skills in a real-world business environment. You'll collaborate closely with a talented team, contribute to data-driven projects, and support innovation through partnerships with leading research institutions in our Data Science Centre of Excellence.

Responsibilities

• Collect, clean, and preprocess structured and unstructured data for analysis.
• Perform exploratory data analysis (EDA) to uncover trends and patterns.
• Develop and implement statistical models and machine learning algorithms.
• Assist in deploying models into production and monitor their performance.
• Work with stakeholders to translate business challenges into analytical tasks.
• Design clear, compelling data visualisations to communicate insights effectively.
• Write well-documented, efficient Python or SQL code for data analysis.
• Stay current with industry trends, tools, and best practices in data science.
• Proficiency in Python or R, with experience using libraries like Pandas and NumPy.
• Solid understanding of machine learning techniques and frameworks.
• Experience with SQL for data extraction and manipulation.
• Knowledge of statistical concepts such as hypothesis testing and regression analysis.
• Strong problem-solving skills and ability to handle complex datasets.
• Excellent communication skills with the ability to present insights to non-technical audiences.
• Experience with real-world datasets through academic projects or internships.
• Exposure to cloud platforms (AWS, GCP, or Azure) and version control (Git) is a plus.
• A proactive, curious mindset with a passion for learning and innovation.
• Ability to work collaboratively across cross-functional teams and adapt to evolving business needs.

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 thrive.

Qualifications

• Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• Proficiency in Python or R, with experience using libraries like Pandas and NumPy.
• Solid understanding of machine learning techniques and frameworks.
• Experience with SQL for data extraction and manipulation.
• Knowledge of statistical concepts such as hypothesis testing and regression analysis.
• Strong problem-solving skills and ability to handle complex datasets.
• Excellent communication skills with the ability to present insights to non-technical audiences.
• Experience with real-world datasets through academic projects or internships.
• Exposure to cloud platforms (AWS, GCP, or Azure) and version control (Git) is a plus.
• A proactive, curious mindset with a passion for learning and innovation.
• Ability to work collaboratively across cross-functional teams and adapt to evolving business needs.

Salary & Benefits

• Salary c £30,000 per annum dependant on experience
• Hybrid role, with the expectations of a minimum two days a week in the office in Hatfield
• Annual leave from 26 days rising with length of service, and the option to purchase up to 5 extra days.
• A 'Celebration Day' in addition to public holidays that people can use to celebrate a religious festival or other occasion that is important to them.
• A generous 'double match pension scheme' that doubles the contributions you make (company contribution capped at 12%)
• We offer a range of family benefits including enhanced Maternity, Adoption, Paternity, Shared Parental Leave, Fertility Support Leave and up to 5 full or 10 half days of paid Carers Leave.
• Menopause policy and Reasonable Adjustment policy to help everyone perform at their best.
• Access to our Wellbeing Centre with support for looking after your physical and mental health.
• Discounts at a Range of Retail Outlets and on Dental and Medical Insurance through our Tap4Perks scheme.
• Up to 4 Affinity days a year to volunteer in the community.
• Life Assurance.
• Disability Confident Employer