Environmental Data Scientist/Hydrologist...

Penguin Recruitment Ltd
Reading
1 day ago
Create job alert

Job Description

Job Title: Senior Environmental Data Scientist/Hydrologist

Ref. No.: CJD0301T26

Location: Based near Reading

Salary: £35,000 - £42,000

This is an outstanding opportunity to join my client, an innovative, independent Multidisciplinary Consultancy, renowned for lending their expertise to projects across the Water, Transport, and Renewable Energy Sectors. They are actively seeking a talented, driven Senior Environmental Data Scientist/Hydrologist with demonstrable knowledge of hydrology and hydrological modelling, who is demonstrably keen to lead a dedicated team through the delivery of an array of challenging projects. You will be based near the charming, vibrant town of Reading.

Benefits for the role of Senior Environmental Data Scientist/Hydrologist include (but are not limited to):

  • Competitive salary, rising with experience
  • Employee Pension Scheme
  • Generous annual leave entitlement
  • A focus on work-life balance, with flexible/hybrid working prospects
  • Healthcare plan
  • Dedication to your Continuing Professional Development (CPD), with extensive career progression opportunities
  • Delivery of a wide range of exciting engineering projects across the local region and beyond

    Responsibilities for the role of Senior Environmental Data Scientist/Hydrologist include:

  • Take the lead in the development of models and methods, utilising various software platforms, including Qube, CERF, FEH Flood Modelling Suite, ReFH2, and WINFAP5
  • Create flow estimation, flood estimation, and catchment models
  • Identify opportunities for developing hydrological models, utilising machine learning for improvement and development purposes
  • Develop, manage, and enhance hydrological and modelling methods
  • Work closely with a team to support scientific research
  • Liaise closely with clients and other stakeholders across the public and private sectors

    Required skills and experience for the role of Senior Environmental Data Scientist/Hydrologist include:

  • A UK Degree (or equivalent qualification) in Civil Engineering, Environmental Science, or a similar, relevant discipline
  • Considerable experience of coding, particularly using Python and/or R
  • Demonstrable experience of developing machine learning models, particularly when applied to environmental data
  • Experience of working in a hydrological or water-centric environmental science role
  • Confident ability in handling complex data sets, particularly those that are spatial and temporal in nature (e.g., NetCDF, ASCII, etc.)
  • Outstanding communication and interpersonal skills, with the ability to present information accurately and concisely to a range of audiences
  • Good literacy and numeracy skills, particularly when applied to report writing
  • Technically- and analytically-minded

    Desirable skills and experience for the role of Senior Environmental Data Scientist/Hydrologist include:

  • A UK Master's Degree (or equivalent qualification) in a relevant discipline
  • Possess a full, valid UK Driver's Licence

    If you are interested in the role of Senior Environmental Data Scientist/Hydrologist, please do not hesitate to contact Caroline Davis at Penguin Recruitment. Please also see our website for a range of other roles currently available. This is a permanent role. Penguin Recruitment is operating as a recruitment agency in respect to this vacancy.

Related Jobs

View all jobs

Environmental Data Scientist/Hydrologist

Environmental Data Scientist / Hydrologist

Environmental Data Scientist / Hydrologist

Environmental Data Scientist/Hydrologist

Environmental Data Scientist/Hydrologist

Environmental Data Scientist/Hydrologist

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.