Geospatial Data Scientist

Hastings Direct
Bexhill-on-Sea
3 weeks ago
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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 huge investments in our technology, pricing, data and analytics capabilities over the past few years, along with nurturing our 4Cs culture and substantial investment in our people. And as a Finance team, we're doing exactly the same – building a market leading finance technology platform, investing in our team and our approach to leadership development, with a real focus on commercially adding value to the business. 

The fact you’re now 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 feel 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 & 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 – 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 career's website

Benefits: In addition to a competitive salary, 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

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! – 25 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 ….

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. 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 Hasting Direct – you can view our live vacancy list via our carers page. Link below:

Careers

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:

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