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- Tasks: Lead geospatial ML projects and develop predictive models for insurance pricing.
- Company: Join Hastings Direct, a digital insurance provider with big ambitions.
- Benefits: Enjoy flexible working, competitive salary, and comprehensive wellbeing support.
- Why this job: Make a real impact using cutting-edge geospatial analytics in a dynamic team.
- Qualifications: Experience in geospatial data science and strong Python skills required.
- Other info: Mentorship opportunities and a focus on innovation in a supportive environment.
The predicted salary is between 36000 - 60000 £ per year.
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.
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.
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
Essential skills and experience:
- 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 skills:
- 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
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
Benefits: in addition to a competitive salary and £5k car allowance you will also receive:
- Flexible working – we champion a flexible hybrid working approach
- Competitive bonus scheme - all colleagues are eligible for our annual 4Cs performance bonus
- Physical wellbeing – Hastings pay for you to receive private medical Insurance (PMI)
- Financial wellbeing – providing you with 4x your salary with our life assurance cover, income protection at no extra cost, and matched pension contributions up to 10%
- Mental wellbeing programme – we have the thrive mental health app, our colleague assistance programme available 24/7
- 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
- Hastings Group is an equal opportunities employer which means we treat people fairly.
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.
Senior Geospatial Data Scientist in Melton Mowbray employer: Hastings Direct
Contact Detail:
Hastings Direct Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Geospatial Data Scientist in Melton Mowbray
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Hastings Direct. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Prepare for your interviews by brushing up on your geospatial analytics knowledge. Be ready to discuss how you can leverage ML techniques to solve real-world insurance problems.
✨Tip Number 3
Showcase your projects! Bring examples of your work to interviews. Whether it's predictive models or geospatial features, let us see your skills in action.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you're keen on joining our team at Hastings Direct.
We think you need these skills to ace Senior Geospatial Data Scientist in Melton Mowbray
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience in geospatial analytics and machine learning. We want to see how your skills align with the role, so don’t hold back on showcasing your relevant projects!
Showcase Your Technical Skills: Since this role involves a lot of technical work, be sure to mention your proficiency in Python, SQL, and any other relevant data science libraries. We love seeing candidates who can demonstrate their coding prowess and problem-solving abilities.
Communicate Clearly: Remember, you’ll need to present complex ideas to non-technical audiences. Use clear and concise language in your application to show us that you can bridge the gap between technical jargon and everyday understanding.
Apply Through Our Website: We encourage you to submit your application through our careers page. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Hastings Direct
✨Know Your Geospatial Stuff
Make sure you brush up on your geospatial analytics and machine learning techniques. Be ready to discuss specific projects where you've engineered geospatial features or built predictive models. This will show that you not only understand the theory but can apply it in real-world scenarios.
✨Showcase Your Coding Skills
Since Python and SQL are key for this role, be prepared to demonstrate your coding abilities. You might even want to bring along a portfolio of your work or examples of models you've developed. This will help you stand out as someone who can hit the ground running.
✨Communicate Like a Pro
You’ll need to explain complex technical concepts to non-technical stakeholders. Practice how you would present your ideas clearly and concisely. Think about how you can make your insights accessible and engaging for everyone involved.
✨Prepare for the Case Study
The second round involves a case study, so get familiar with common geospatial problems in insurance. Think through how you would approach these challenges and be ready to discuss your thought process. This is your chance to shine and show off your problem-solving skills!
