At a Glance
- Tasks: Develop ML models to predict claims outcomes and monitor their performance.
- Company: Hastings Direct is a digital insurance provider aiming to be the best in the UK market.
- Benefits: Enjoy flexible working, competitive bonuses, and a comprehensive wellbeing program.
- Why this job: Join a culture focused on growth, innovation, and making a positive impact.
- Qualifications: Proficiency in Python, SQL, and a keen interest in emerging ML techniques required.
- Other info: 25 days annual leave, private healthcare, and a supportive work environment.
The predicted salary is between 36000 - 60000 £ per year.
Welcome to Hastings Direct – From our Group HR Director Pam Angel
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 data and tech capabilities over the past few years, along with nurturing our 4Cs culture. We’re proud of the journey we’re on as a company and know that our continued success will rely on the contribution of our talented colleagues.
We provide insurance for over three million customers, but we know there’s even bigger opportunity out there. The fact you’re now reading this job advert means we’ve tempted you to find out more about #lifeatHD – we really hope you like what you see, and you’ll join us to share in the success of the exciting chapter that lies ahead.
We understand some people may not apply for jobs unless they feel they tick every box. If you are 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.
Please note, Visa support/Sponsorship is not being offered for this role.
Job Details:
- Develop best in-class ML models to predict claims outcomes, fraud and other risk KPIs.
- Work with ML Engineers to deploy ML models.
- Monitor deployed ML models, and link performance to commercial value KPIs.
- Present your work to Operational and Commercial stakeholders.
- Explore new technologies and contribute to setting team’s best practices.
Skills we would love you to have:
- Proficiency in Python and experience with ML libraries for building and deploying machine learning solutions in cloud environments.
- Ability to think commercially and link ML model performance to commercial KPIs.
- Experience using structured query languages (SQL).
- Keen interest in emerging new ML techniques and their commercial value.
- Ability to communicate across teams of Data Scientists, Data Engineers, ML Engineers, Operational and Commercial stakeholders.
What we offer:
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.
Reward:
Salary – Attractive salary based on experience (pay reviews also completed each year)
Flexible Working – We champion a flexible and hybrid working approach so please speak to your recruiter to discuss in more detail, including days in the office and at home.
Competitive Bonus Scheme – All colleagues are eligible for our annual 4Cs performance bonus, which is usually paid in March. The scheme is based on Hastings’ performance against our business goals and your own personal performance.
Physical Wellbeing – We like to help our colleagues take a proactive approach in keeping themselves well, that’s why we fund our colleagues to be able to claim against everyday health care through our healthcare cash plan.
Financial Wellbeing – As well as providing you with 4x your salary with our life assurance cover and income protection at no extra cost, pension contribution match up to 10%, we are proud to provide you with an AWARD WINNING package which includes – discounts and cashback at everyday retailers and on our own products, fee free independent mortgage advice, and free access to financial wellbeing support.
Mental Wellbeing Programme – At Hastings Direct we understand that mental health cannot not be scheduled, that’s why we have a range of support to help you keep yourself well. 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 contracted weeks, access to private healthcare, 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, or throughout your journey with us at Hastings, 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:
14/03/2025 #J-18808-Ljbffr
Data Scientist employer: Hastings Insurance Services Ltd
Contact Detail:
Hastings Insurance Services Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Familiarize yourself with the specific machine learning techniques mentioned in the job description. Understanding how to develop and deploy ML models, especially in cloud environments, will give you a significant edge during discussions.
✨Tip Number 2
Brush up on your SQL skills! Since the role requires experience with structured query languages, being able to demonstrate your proficiency in SQL during interviews can set you apart from other candidates.
✨Tip Number 3
Prepare to discuss how you've linked ML model performance to commercial KPIs in your previous roles. This shows that you not only understand the technical side but also the business impact of your work.
✨Tip Number 4
Since communication across teams is crucial, think of examples where you've successfully collaborated with different stakeholders. Being able to articulate these experiences will highlight your teamwork skills and adaptability.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Data Scientist position. Understand the key responsibilities, required skills, and how your experience aligns with their needs.
Highlight Relevant Experience: When writing your CV and cover letter, focus on your proficiency in Python, experience with ML libraries, and any relevant projects that demonstrate your ability to develop and deploy machine learning models.
Showcase Communication Skills: Since the role involves presenting work to stakeholders, emphasize your ability to communicate complex data insights clearly and effectively across different teams.
Express Enthusiasm for the Company Culture: In your application, mention your alignment with Hastings Direct's 4Cs culture. Show that you are excited about contributing to their mission and values, which can set you apart from other candidates.
How to prepare for a job interview at Hastings Insurance Services Ltd
✨Showcase Your ML Expertise
Be prepared to discuss your experience with machine learning models, particularly in Python and relevant libraries. Highlight specific projects where you've developed or deployed models, and be ready to explain the impact of your work on business outcomes.
✨Connect ML Performance to Business Goals
Demonstrate your ability to think commercially by linking your machine learning model performance to commercial KPIs. Prepare examples that illustrate how your work has contributed to achieving business objectives.
✨Communicate Effectively Across Teams
Since collaboration is key, practice explaining complex technical concepts in simple terms. Be ready to discuss how you've worked with Data Engineers, ML Engineers, and other stakeholders to achieve project goals.
✨Stay Updated on Emerging Technologies
Show your enthusiasm for new ML techniques and their potential commercial value. Discuss any recent trends or technologies you've explored and how they could benefit the company’s objectives.