Geospatial Data Scientist

Hastings Direct
Melton Mowbray
1 day ago
Create job alert
Overview

Job Title: Geospatial Data Scientist


Location: Leicester / Bexhill – Hybrid


Welcome to Hastings Direct. We’re a digital insurance provider with a clear strategy to become the best and biggest player in the UK market. As a company, we’ve made investments in our technology, pricing, data and analytics capabilities, along with nurturing our 4Cs culture and substantial investment in our people. As a Finance team, we’re building a market leading finance technology platform, investing in our team and our approach to leadership development, with a focus on commercially adding value to the business.


The fact you’re reading this job advert means we’ve tempted you to find out more about #lifeatHD. If you like what you see, we hope you’ll consider joining our team.


We have high standards and understand some people may not apply for jobs unless they tick every box. If you’re excited about joining us and think you have some of what we are looking for, even if you’re not 100% sure, we would love to hear from you.


Role

The Geospatial Data Scientist will assist in the identification and creation of cutting-edge data assets and predictive models that feed into Hastings’ market-leading pricing activities. This role is within a combined team of Actuaries and Data Scientists, who are committed to championing the adoption of the latest machine learning (ML) techniques to leverage powerful insights from vast amounts of customer and property information and augment traditional modelling techniques.


Accountabilities

Your remit will include the following:



  • Engineering powerful new geography / spatial rating factors to be deployed into our home & motor pricing
  • Develop best in-class models to predict risk and claims outcomes
  • Identifying, analysing, and monetising new data sources relating to geography and properties
  • Research and development of innovative proof of concept solutions to business problems

Skills, Knowledge & Experience

Essential



  • Predictive modelling experience
  • Familiarity with geospatial data and geospatial analysis techniques
  • Interest in emerging ML techniques and their commercial value
  • Proficiency in Python
  • Exposure to SQL
  • Strong communication skills
  • Ability to work cross-functionally with Data Engineers, Data Scientists, Actuaries and Pricing teams

Desirable



  • Insurance experience
  • Experience working with remote sensing datasets
  • Have used GitHub as a code collaboration tool
  • Experience using a cloud platform

Personal Attributes

  • Natural problem solver who loves building quality solutions to complex real-world situations
  • Dynamic, flexible and delivery-focused work ethic required to adapt to a fast-paced environment

The interview process

Our interview process involves the below:



  • Recruiter screening call
  • Intro with Hiring manager
  • Interview with hiring team – Case study

As a Disability Confident employer, we’re committed to ensuring our recruitment processes are fully inclusive. If you’re applying for a job with us, you’ll have fair access to support and adjustments throughout your recruitment journey. We also welcome applications through the Disability Confident Scheme (DCS). For more information on the DCS, please visit our inclusive business page on our careers website.


Benefits

  • Flexible working – we champion a flexible hybrid working approach
  • Competitive bonus scheme – all colleagues are eligible for our annual 4Cs performance bonus
  • Financial wellbeing – life assurance, income protection, matched pension contributions up to 10%, and additional wellbeing support
  • Mental wellbeing programme – Thrive app, colleague assistance programme 24/7, mental health first aiders, support groups
  • 25 days annual leave + bank holidays, with option to buy or sell one week
  • Access to health care cashback plans, dental plans, discounted health assessments, Cycle to work and tech schemes
  • Discounted and free onsite facilities, social events, and more

Join us and you’ll find a different way of doing things. We call it the 4Cs. We focus on getting it right for our colleagues, customers, company and community. Our 4Cs principles are simple: we believe by creating the right culture for our colleagues and giving them the right tools to do their job, we’ll deliver good outcomes for every customer, helping us to grow the company profitably and sustainably and allowing us to invest in the communities we serve.


If you are interested in any other positions at Hastings Direct – you can view our live vacancy list via our careers page. Careers


Hastings Group is an equal opportunities employer which means we treat people fairly. We welcome applications from all suitably skilled persons regardless of gender, age, race, disability, ethnic background, religion/belief, sexual orientation, gender reassignment or marital/family status. Please also note that we have a thorough referencing process, which includes credit and criminal record checks.


At Hastings Direct, we’re committed to creating an inclusive environment where everyone has the opportunity to succeed. If you require any reasonable adjustments during the recruitment process, we encourage you to be open with us. Our recruitment team is here to provide the support you need to ensure a fair and accessible experience for all.


Job posting end date:


#J-18808-Ljbffr

Related Jobs

View all jobs

Geospatial Data Scientist

Geospatial Data Scientist

Geospatial Data Scientist — ML-Powered Pricing

Geospatial Data Scientist

Senior Geospatial Data Scientist (Hybrid UK)

Hybrid Geospatial Data Scientist - ML-Driven Pricing

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 Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

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.