Senior Geospatial Data Scientist

Hastings Direct
Melton Mowbray
2 days ago
Create job alert
Overview

Job Title: Senior Geospatial Data Scientist

Location: Bexhill/Leicester

Welcome to Hastings Direct

We’re a digital insurance provider with ambitious plans to become the best and biggest in the UK market. We’ve made huge investments in our pricing and data capabilities over the past few years, along with nurturing our 4Cs culture.

We provide insurance for over four million customers, and we’re continuously seeking new ideas and diverse perspectives to challenge established thinking and drive meaningful change. Great pricing is built on trust, innovation and precision, so our aim is to ensure customers receive a fair and accurate price based on their individual risk, supporting fair outcomes while delivering sustainable and profitable growth for our company. Pricing is more than just a number – it’s a strategic capability. At the heart of Hastings is deep risk insight – continually improving how we assess, segment and price risk through data and analytics.

The Role

The Role: The Senior Geospatial Data Scientist will oversee projects and modelling exercises which deliver cutting-edge data assets and predictive models that feed into Hastings’ market-leading pricing activities. This role sits within a combined team of Actuaries and Data Scientists, championing the adoption of the latest machine learning (ML) techniques to leverage powerful insights from vast amounts of customer information and data enrichment.

The Senior Geospatial Data Scientist will use their understanding of geospatial analytics and data science techniques to solve insurance problems and engineer powerful geospatial risk indices. We are looking to leverage advanced geospatial ML techniques to maximise commercial value, while ensuring a fair outcome for customers. The role requires mentoring junior data science colleagues and there is scope to manage a small team.

The role would suit a Geospatial Data Scientist with a track record of delivering powerful geospatial features and spatial machine learning models. Insurance experience is a bonus but not a requirement.

Key Accountabilities

Your remit will include the following:

  • Taking the technical lead in geospatial machine learning projects

  • Develop best in-class models to predict features of a property or insured location

  • Engineer powerful new geospatial rating factors to be deployed into our rating algorithms, understanding their impact and value

  • Identify, analyse and monetise new data sources

  • Manage and mentor more junior members of the Geospatial Data Science and Home Pricing teams

  • Manage and maintain data and model updates

  • Support the Geospatial team in the delivery of the team’s strategic objectives

Skills Knowledge & Experience

Essential

  • Experience engineering geospatial features and building predictive models

  • Experience in the creation and development of models in Python, using the main Data Science libraries

  • Keen interest in emerging ML techniques and the opportunities that these present in geospatial/insurance

  • Experience planning and completing a project independently

  • Strong Structured Query Language (SQL) coding skills and being comfortable with data manipulation

  • Stakeholder management and communication skills with the ability to present technical ideas to a non-technical audience

Desirable

  • Experience working with remote sensing datasets

  • Image processing and segmentation experience

  • Experience in a Personal Lines pricing team (motor or home)

  • Experience with using GitHub for version control and as a code collaboration tool

  • Eagerness to work cross-functionally with Data Engineers, Data Scientists, Actuaries and Risk Pricing Analysts

Personal Attributes
  • Natural problem solver who loves building quality solutions to complex real-world challenges

  • Focuses on the bigger picture but not afraid to get into the detail when necessary

  • Dynamic, flexible and delivery-focussed work ethic required to adapt to a fast paced working environment

  • Takes ownership and accountability for their aspects of projects and work streams

Interview Process

Recruiter screening call

1st Round – Intro call with Hiring manager

2nd Round – Case study round

What we will give you

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. As one of our colleagues, you’ll be helping to drive our growth, so in return, we’ll give you all the support, training and development you need. Not to mention plenty of recognition and rewards, and the scope to voice your ideas and put them into practice.

As a Disability Confident employer, we’re committed to ensuring our recruitment processes are fully inclusive – what this means to you is 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

Benefits: in addition to a competitive salary and £5k car allowance you will also receive …

Flexible working – we champion a flexible hybrid working approach – please speak to your recruiter to discuss in more detail

Competitive bonus scheme - all colleagues are eligible for our annual 4Cs performance bonus

Physical wellbeing – as a Band 4 colleague, Hastings pay for you to receive private medical Insurance (also known as PMI). This gives you flexibility and convenience to see a specialist or consultant and allows you to decide when and where you will be seen

Financial wellbeing – as well as providing you with 4x your salary with our life assurance cover, income protection at no extra cost, and matched pension contributions up to 10%, we are proud to provide you with an award-winning package which includes – discounts, cashback, free independent mortgage advice and free access to financial wellbeing support

Mental wellbeing programme – we have the thrive mental health app, our colleague assistance programme available 24/7, our own in-house mental health first aiders, support groups and a dedicated team to make sure we are covering your needs

There’s more! – 27 days annual leave + bank holidays, with the option to buy or sell one of your weeks, access to our health care cash back plans, dental plans, discounted health assessments, Cycle to work and tech schemes, discounted and free onsite facilities, social events throughout the year and much more ….

Hastings Group is an equal opportunities employer which means we treat people fairly. We welcome applications from all suitably skilled persons regardless of their 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

Senior Geospatial Data Scientist

Senior Geospatial Data Scientist

Senior Geospatial Data Scientist

Senior Geospatial Data Scientist (Hybrid UK)

Senior Geospatial Data Scientist: ML-Driven Risk Modeling Lead

Senior Geospatial Data Scientist: ML-Driven Risk Modeling Lead

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.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

The Skills Gap in Machine Learning Jobs: What Universities Aren’t Teaching

Machine learning has moved from academic research into the core of modern business. From recommendation engines and fraud detection to medical imaging, autonomous systems and language models, machine learning now underpins many of the UK’s most critical technologies. Universities have responded quickly. Machine learning modules are now standard in computer science degrees, specialist MSc programmes have proliferated, and online courses promise to fast-track careers in the field. And yet, despite this growth in education, UK employers consistently report the same problem: Many candidates with machine learning qualifications are not job-ready. Roles remain open for months. Interview processes filter out large numbers of applicants. Graduates with strong theoretical knowledge struggle when faced with practical tasks. The issue is not intelligence or effort. It is a persistent skills gap between university-level machine learning education and real-world machine learning jobs. This article explores that gap in depth: what universities teach well, what they routinely miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in machine learning.