Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Geospatial Data Scientist

Gallagher
London
1 week ago
Create job alert

Overview

We are seeking a talented Data Scientist with a Geospatial slant to join our Data Science team at Gallagher Re and help lead our Data Science work. You will be joining a newly established Data Science & AI Centre of Excellence within our Digital Products team. You will work alongside experts in reinsurance, data science, software engineering, visualization, and design, applying data science in a high-impact commercial setting. This role focuses on geospatial analysis and maintaining legacy R applications and transitioning to our Python-based tech stack. This role is based from our London City office and we offer hybrid working and the expectation is to be in office one to two days per week max. How you'll make an impact Maintain legacy R Shiny applications for advanced geospatial analysis data visualization and reporting. Workloads will gradually shift from legacy R applications to Python Data Science work aligning with our new tech stack and strategy. Collaborate with multidisciplinary experts to deliver innovative analytical solutions. Gain hands-on experience with Azure, AzureML, Python, Azure DevOps, and AI technologies. Write readable, well designed, well documented, and well tested code About You Graduate level (STEM) or equivalent experience emphasis on geospatial / programming / computer science is an advantage but not essential Proficiency in R, with strong experience in R Shiny development. Supporting skills in HTML, JavaScript, CSS. Solid Python programming skills, with enthusiasm for transitioning to Python-based workflows. Expertise in geospatial analysis (, using packages like sf, raster, or geopandas, GIS, geoserver). Ability to thrive in a collaborative, multidisciplinary team environment. Familiarity with maintaining and refactoring legacy codebases is a plus. Eagerness to learn and apply Azure, AzureML, Azure DevOps, and AI tools in a commercial context. Machine Learning or Artificial Intelligence knowledge and experience beneficial but not essential. Catastrophe modelling or (re)insurance experience beneficial but not essential. Compensation and benefits On top of a competitive salary, great teams and exciting career opportunities, we also offer a wide range of benefits. Below are the minimum core benefits you’ll get, depending on your job level these benefits may improve: Minimum of 25 days holiday, plus bank holidays, and the option to ‘buy’ extra days Defined contribution pension scheme, which Gallagher will also contribute to Life insurance, which will pay 4x your basic annual salary, which you can top-up to 10x Income protection, we’ll cover up to 50% of your annual income, with options to top up Health cash plan or Private medical insurance Other benefits include: Three fully paid volunteering days per year Employee Stock Purchase plan, offering company shares at a discount Share incentive plan, HMRC approved, tax effective, stock purchase plan Critical illness cover Discounted gym membership, with over 3,000 gyms nationally Season ticket loan Access to a discounted voucher portal to save money on your weekly shop or next big purchase Emergency back-up family care And many more…

Related Jobs

View all jobs

Geospatial Data Scientist

Staff Data Science

Staff Data Scientist

Staff Data Science

Senior Data Scientist (LLM)

Senior Data Scientist (LLM)

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.

The Best Free Tools & Platforms to Practise AI Skills in 2025/26

Artificial Intelligence (AI) is one of the fastest-growing career fields in the UK and worldwide. Whether you are a student exploring AI for the first time, a graduate looking to build your portfolio, or an experienced professional upskilling for career growth, having access to free tools and platforms to practise AI skills can make a huge difference. In this comprehensive guide, we’ll explore the best free resources available in 2025, covering AI coding platforms, datasets, cloud tools, no-code AI platforms, online communities, and learning hubs. These tools allow you to practise everything from machine learning models and natural language processing (NLP) to computer vision, reinforcement learning, and large language model (LLM) fine-tuning—without needing a huge budget. By the end of this article, you’ll have a clear roadmap of where to start practising your AI skills for free, how to build real-world projects, and which platforms can help you land your next AI job.

Top 10 Skills in Artificial Intelligence According to LinkedIn & Indeed Job Postings

Artificial intelligence is no longer a niche field reserved for research labs or tech giants—it has become a cornerstone of business strategy across the UK. From finance and healthcare to manufacturing and retail, employers are rapidly expanding their AI teams and competing for talent. But here’s the challenge: AI is evolving so quickly that the skills in demand today may look different from those of just a few years ago. Whether you’re a graduate looking to enter the industry, a mid-career professional pivoting into AI, or an experienced engineer wanting to stay ahead, it’s essential to know what employers are actually asking for in their job ads. That’s where platforms like LinkedIn and Indeed provide valuable insight. By analysing thousands of job postings across the UK, they reveal the most frequently requested skills and emerging trends. This article distils those findings into the Top 10 AI skills employers are prioritising in 2025—and shows you how to present them effectively on your CV, in interviews, and in your portfolio.

Translucent Careers: Senior Artificial Intelligence Engineer in London

The global landscape of artificial intelligence is evolving rapidly, and nowhere is this transformation felt more strongly than in the financial and accounting industries. AI is no longer just a supporting technology; it is becoming the backbone of innovation, efficiency, and decision-making. One of the most exciting companies at the forefront of this movement is Translucent, a dynamic business redefining how accounting professionals work with AI-driven tools. For professionals seeking to combine technical excellence with meaningful industry impact, Translucent represents a rare career destination. At the heart of their current expansion is an opening for a Senior Artificial Intelligence Engineer in London. This role combines high-level technical leadership, hands-on development, and an opportunity to influence the direction of an emerging force in AI. In this article, we’ll explore: Who Translucent are and why they matter. The significance of AI in financial technology (fintech) and accounting. A deep dive into the Senior AI Engineer role. Skills and requirements needed for success. Career growth and opportunities at Translucent. How artificialintelligencejobs.co.uk helps professionals connect with transformative employers like Translucent.