National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Analyst – Risk Environmental

Shrewsbury
10 months ago
Applications closed

Related Jobs

View all jobs

DATA ANALYST - LONDON (HYBRID) - SQL, AWS, £60k

Lead Credit Risk Analyst - Consumer Lending / Loans

Data and B.I. Lead

Lead Data Scientist

AI & Data Scientist

Research Associate (Data Science) (Fixed Term)

Data Analyst – Risk

Location: Shrewsbury
Job Type: Full-time, Permanent – Monday to Friday
Salary: £25,000 – £30,000 per annum

About Our Client:

Our client is a prominent environmental data and reporting company headquartered in Shrewsbury, Shropshire. Specializing in environmental impacts and climate change, they provide crucial insights and reports across the UK. As they continue to grow, they are seeking creative minds to join their team and contribute to their expanding portfolio.

Job Overview:

Our client is looking for an enthusiastic Data Analyst to join their Risk division. In this role, you will be crucial in transforming complex data into actionable insights, supporting business strategies, and contributing to the company's success. This is a fantastic opportunity to make a significant impact within a rapidly growing organization.

Responsibilities:

  • Data Analysis: Analyse extensive datasets to extract meaningful insights and trends.

  • Report Creation: Develop and present detailed reports based on data analysis.

  • GIS and Spatial Data: Apply GIS techniques to enhance environmental risk assessments.

  • Team Collaboration: Work closely with various teams to integrate data-driven insights into projects and strategies.

  • Innovation: Suggest improvements and data-driven solutions to support business development.

    Requirements:

  • Education: Degree in Environmental Sciences, Data Science, or a related field.

  • Experience:

    • Experience with GIS and spatial data analysis.

    • Strong analytical skills and proficiency in statistics.

    • Basic knowledge of Python or other coding languages is advantageous.

  • Skills:

    • Ability to analyse and interpret complex data sets.

    • Excellent problem-solving and critical thinking abilities.

    • Strong communication skills for presenting insights clearly.

    • Capability to work independently and as part of a team.

      Preferred Attributes:

  • Interest or experience in environmental risk management and flood risk data.

  • Experience or enthusiasm for business development.

    What Our Client Offers:

  • Competitive salary.

  • Comprehensive annual leave package.

  • Contributory pension scheme.

  • Opportunities for professional development.

  • Flexible working arrangements
National AI Awards 2025

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.

How to Find Hidden AI Jobs in the UK Using Professional Bodies like BCS, IET & the Turing Society

When it comes to job hunting in artificial intelligence (AI), most candidates head straight to traditional job boards, LinkedIn, or recruitment agencies. But what if there was a better way to find roles that aren’t advertised publicly? What if you could access hidden job leads, gain inside knowledge, or get referred by people already in the field? That’s where professional bodies and specialist AI communities come in. In this article, we’ll explore how UK-based organisations like BCS (The Chartered Institute for IT), IET (The Institution of Engineering and Technology), and the Turing Society can help you uncover AI job opportunities you won’t find elsewhere. We'll show you how to strategically use their directories, special-interest groups (SIGs), and CPD (Continuing Professional Development) events to elevate your career and expand your AI job search in ways most job seekers overlook.

How to Get a Better AI Job After a Lay-Off or Redundancy

Being made redundant or laid off can feel like the rug has been pulled from under you. Whether part of a wider company restructuring, budget cuts, or market shifts in tech, many skilled professionals in the AI industry have recently found themselves unexpectedly jobless. But while redundancy brings immediate financial and emotional stress, it can also be a powerful catalyst for career growth. In the fast-evolving field of artificial intelligence, where new roles and specialisms emerge constantly, bouncing back stronger is not only possible—it’s likely. In this guide, we’ll walk you through a step-by-step action plan for turning redundancy into your next big opportunity. From managing the shock to targeting better AI jobs, updating your CV, and approaching recruiters the smart way, we’ll help you move from setback to comeback.

AI Jobs Salary Calculator 2025: Work Out Your Market Value in Seconds

Why your 2024 salary data is already outdated “Am I being paid what I’m worth?” It is the question that creeps in whenever you update your CV, see a former colleague announce a punchy pay rise on LinkedIn, or notice a recruiter slide into your inbox with a role that looks eerily similar to your current one—only advertised at £20k more. Artificial intelligence moves faster than any other hiring market. New frameworks are open‑sourced overnight, venture capital floods specific niches without warning, & entire job titles—Prompt Engineer, LLM Ops Specialist—appear in the time it takes most industries to schedule a meeting. In that environment, salary guides published only a year ago already look like historical curiosities. To give AI professionals an up‑to‑the‑minute benchmark, ArtificialIntelligenceJobs.co.uk has built a simple yet powerful salary‑calculation formula. By combining three variables—role, UK region, & seniority—you can estimate a realistic 2025 salary band in less than a minute. This article explains that formula, unpacks the latest trends driving pay, & offers concrete steps to boost your personal market value over the next 90 days.