Associate Data Scientist

Anglian Water Group Ltd.
Peterborough
1 day ago
Create job alert

Salary: Circa £42,000, salary depending on skills and experienceLocation: Peterborough or Huntingdon – Hybrid workingBuild reusable processes and automated checks for repeatable data preparation tasks. Build your capability in programming, analytics, and data products through hands-on experience and mentoring. You’ll thrive in this role if you have:* A foundational understanding of data science techniques and tools.* A keen eye for detail and strong problem-solving abilities.* The ability to translate data into meaningful insights through visualisation.* A growth mindset and an eagerness to learn from others.* A BSc or MSc in Data Science, Computer Science, Statistics, Mathematics or a related discipline, or equivalent relevant work experience, is required* Desirable: Experience working with energy-related datasets (e.g. consumption data, operational energy metrics, or metering data). This will be considered a strong plus.* Desirable: Experience working within the Water IndustryExperience working with datasets, cleaning and manipulating data, and building basic models.Skills in Python, R or similar programming languages.Experience working with cloud-based data platforms such as Azure & Databricks Flexible benefits to support your wellbeing and lifestyle 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 get reach out to our team ’To apply, you’ll need your up-to-date CV, we also recommend uploading a cover letter – tell us what has made you apply and what skills you can bring to the position. We will be in touch after your application has been reviewed, following the closing date.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. More information about how we look after and use your information can be found in our .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.
#J-18808-Ljbffr

Related Jobs

View all jobs

Associate Data Scientist

Associate Data Scientist

Associate Data Scientist

Senior Data Scientist

Senior Data Scientist

Data Scientist within Asset & Wealth Management (Senior Associate)

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.