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- Tasks: Develop and implement advanced machine learning models for home insurance pricing.
- Company: Join Hastings Direct, a leading digital insurance provider in the UK.
- Benefits: Enjoy flexible working, competitive salary, and comprehensive wellbeing support.
- Why this job: Make a real impact with cutting-edge technology in a supportive environment.
- Qualifications: Strong programming skills in Python and experience with machine learning techniques.
- Other info: Be part of a diverse team focused on innovation and growth.
The predicted salary is between 36000 - 60000 £ per year.
Location: Bexhill/Leicester/London - with a willingness to travel to Bexhill and Leicester on occasion.
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.
Role overview:
We have a dedicated Pricing and Underwriting team to deliver the ambitious strategy we have for our Home Insurance product. This effort has the full support of the business, benefits from a state-of-the-art tech stack and inputs from the entire Actuarial and Data Science (AnDS) community at Hastings. To build upon the foundations and early successes of the recently formed Home team, we are looking for an experienced Technical Pricing Manager / Senior Data Scientist with strong programming skills and a passion for data. This candidate will fuel our ongoing development of the technical models that are critical to the next stage of our commercial agenda.
As a Technical Pricing Manager / Senior Data Scientist in the Home Underwriting team, you will be reporting to the Home AnDS lead, working closely with the Data, Analytical and ML Engineering teams. You will play a pivotal role in the development and deployment of machine learning models and data science solutions to extract the crucial predictive insight that underpins all our technical pricing and helps maintain our competitive edge. You will provide strategic guidance and tooling to benefit the wider Pricing, Data and Analytics community and support data-driven innovation.
Accountabilities:
- Developing, analysing, and overseeing the implementation of advanced statistical and machine learning models into live pricing.
- Developing tools and solutions to support the management of our risk portfolio.
- Stretching the team’s capabilities in Artificial Intelligence, Machine Learning and use of Cloud technologies.
- Working cross-functionally with the wider Underwriting team to develop the Home data landscape.
- Engineering powerful new features to be deployed into our pricing algorithms.
- Advocating for data science and software development best practices.
- Engaging commercial stakeholders to gather detailed business requirements and coordinating project activities.
Essential skills/experience:
- Proven track record of delivering commercial value using supervised machine learning techniques.
- Advanced Python programmer, and experience with data manipulation and analysis libraries (e.g., NumPy, Pandas, scikit-learn).
- Advanced knowledge of data science technologies including tooling and platforms.
- Proficient in SQL.
- Proficient with Git.
- Ability to drive projects from initiation to completion.
- Keen interest in emerging Machine Learning techniques.
Desirable:
- Experience with Cloud deployments (e.g. Azure/AWS/GCP).
Interview Process:
- Recruiter screening call
- 1st Round – Intro call with Hiring manager
- 2nd Round – Case study round followed by call with Hiring leader
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. We also welcome applications through the Disability Confident Scheme (DCS).
Benefits:
- 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, and support groups.
- 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, and social events throughout the year.
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.
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 Data Scientist - Home Insurance in London employer: Hastings Direct
Contact Detail:
Hastings Direct Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist - Home Insurance in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Hastings Direct on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for the interview process. It’s all about making connections!
✨Tip Number 2
Prepare for those interviews! Brush up on your machine learning knowledge and be ready to discuss how you've used it in past projects. We want to see your passion for data and how you can bring value to our team.
✨Tip Number 3
Show off your skills! If you have any personal projects or contributions to open-source, make sure to mention them. This is your chance to demonstrate your programming prowess and innovative thinking.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, you’ll find all the latest job openings there, so keep an eye out!
We think you need these skills to ace Senior Data Scientist - Home Insurance in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Senior Data Scientist. Highlight your programming skills, experience with machine learning, and any relevant projects that showcase your ability to deliver commercial value.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how your skills align with our goals at Hastings Direct. Don’t forget to mention your interest in the Home Insurance product!
Showcase Your Technical Skills: Since this role requires strong programming skills, be sure to include specific examples of your work with Python, SQL, and any cloud technologies you've used. We want to see how you’ve applied these skills in real-world scenarios.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and ensures you’re considered for the role without any hiccups!
How to prepare for a job interview at Hastings Direct
✨Know Your Data Science Stuff
Make sure you brush up on your machine learning techniques and statistical models. Be ready to discuss how you've applied these in real-world scenarios, especially in pricing or risk management.
✨Show Off Your Coding Skills
As an advanced Python programmer, be prepared to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice using libraries like NumPy and Pandas to manipulate data efficiently.
✨Understand the Business
Familiarise yourself with Hastings Direct's approach to home insurance and their 4Cs culture. Showing that you understand their business model and how data science can drive value will set you apart from other candidates.
✨Prepare for Case Studies
Since there's a case study round in the interview process, practice analysing data sets and presenting your findings clearly. Think about how you would apply your insights to improve pricing strategies or risk assessments.
