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- Tasks: Join a two-year programme with placements in Underwriting, Retail Pricing, and Claims.
- Company: Dynamic digital insurance provider based in Leicester.
- Benefits: Gain essential skills, competitive salary, and hybrid working model.
- Other info: Perfect for innovative thinkers ready to thrive in a competitive environment.
- Why this job: Kickstart your career in a fast-paced industry with real impact.
- Qualifications: Degree by 2026 and strong skills in maths and coding (SQL/Python).
The predicted salary is between 25000 - 32000 £ per year.
A digital insurance provider is offering a Pricing, Data and Analytics Graduate Programme based in Leicester. The program includes placements in Underwriting, Retail Pricing, and Claims over two years to build essential knowledge and skills.
Candidates should have a degree in any discipline by 2026, with strong mathematical capabilities and coding skills in SQL or Python. This is a unique opportunity for innovative individuals ready for a competitive industry.
Data Engineering Graduate — Hybrid Training in Data in Leicester employer: Hastings Direct
Contact Detail:
Hastings Direct Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineering Graduate — Hybrid Training in Data in Leicester
✨Tip Number 1
Network like a pro! Reach out to current employees or alumni from the programme on LinkedIn. A friendly chat can give us insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a mini-project using SQL or Python that highlights your coding chops. It’s a great way to demonstrate your abilities during interviews.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions related to data engineering and analytics. We can even do mock interviews together to boost your confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for innovative individuals like you to join our team!
We think you need these skills to ace Data Engineering Graduate — Hybrid Training in Data in Leicester
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your mathematical capabilities and any coding skills you have in SQL or Python. We want to see how you can bring your unique talents to the table!
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the specific requirements of the Data Engineering Graduate role. We love seeing candidates who are genuinely interested in what we do.
Be Yourself: Let your personality shine through in your application. We’re looking for innovative individuals, so don’t be afraid to show us what makes you unique and how you think outside the box!
Apply Through Our Website: For the best chance of success, make sure to apply directly through our website. It’s the easiest way for us to keep track of your application and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at Hastings Direct
✨Know Your Numbers
Brush up on your mathematical skills and be ready to discuss how you've applied them in real-world scenarios. Be prepared to tackle some numerical problems during the interview to showcase your analytical thinking.
✨Show Off Your Coding Skills
Make sure you’re comfortable with SQL and Python. You might be asked to solve a coding challenge or explain your previous projects. Bring examples of your work, like GitHub repositories, to demonstrate your coding prowess.
✨Understand the Industry
Research the digital insurance sector and understand how data plays a role in pricing and underwriting. Being able to discuss current trends or challenges in the industry will show your genuine interest and help you stand out.
✨Ask Insightful Questions
Prepare thoughtful questions about the programme and the company culture. This not only shows your enthusiasm but also helps you determine if this is the right fit for you. Think about what you want to learn during your placements and how you can contribute.