At a Glance
- Tasks: Shape the future of motor insurance using data and analytical thinking.
- Company: Join a leading online motor insurance provider trusted by over 5 million drivers.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Be part of a global team and help millions of drivers in the UK and Spain.
- Why this job: Make a real impact in a dynamic environment while driving innovation.
- Qualifications: Math, Physics or Engineering graduates with a passion for data science.
The predicted salary is between 60000 - 80000 £ per year.
Are you looking for a new challenge? Fancy helping us shape the future of motor insurance? Prima could be the place for you. Since 2015, we’ve been using our love of data and tech to rethink motor insurance and bring drivers a great experience at a great price. Our story began in Italy, where we’ve quickly become the number one online motor insurance provider. In fact, we’re trusted by over 5 million drivers. And now we’re expanding to help millions more drivers in the UK and Spain.
To help fuel that growth, we’re looking for Data Scientists to join our Pricing & Underwriting Department, the strategic engine behind Prima's growth. As part of this global team, you’ll play a pivotal role in shaping our strategy and strengthening our competitive edge. Using data, analytical thinking, machine learning and business acumen, you’ll help predict the future and set the right prices, keeping our offering both attractive and sustainable.
You’ll work with your data science tools and skills to bring real-world impact, collaborating with cross-functional teams to turn insights into action and fuel innovation across the company and its different branches. Excited to make an impact? Here are the details.
Math, Physics & Engineering Graduates new employer: helloprima
At Prima, we pride ourselves on being an innovative employer that values the contributions of our Math, Physics & Engineering Graduates. Our dynamic work culture fosters collaboration and creativity, providing ample opportunities for professional growth and development as we expand our presence in the UK and Spain. Join us to be part of a forward-thinking team that is reshaping the motor insurance landscape while enjoying a supportive environment that encourages your ideas and ambitions.
StudySmarter Expert Advice🤫
We think this is how you could land Math, Physics & Engineering Graduates new
✨Embrace Online Competitions
Get involved in online data science competitions like Kaggle or DrivenData. These platforms not only let you showcase your skills but also help you build a portfolio that stands out to hiring companies like helloprima when you're aiming for that entry-level role.
✨Join Data Science Meetups
Look for local data science meetups or workshops happening in your area. These are perfect for connecting with industry professionals and fellow newbies, giving us the chance to learn the ropes and get our foot in the door at companies like helloprima.
✨Networking Through University Career Services
Don't forget to leverage your university's career services! They often have exclusive internships and networking events specifically for entry-level data science positions. This is a golden opportunity to meet recruiters from companies like helloprima.
✨Spotlight Your Skills Online
Create a strong online presence by sharing your projects and insights on platforms like GitHub or LinkedIn. Make sure to apply directly through helloprima’s career page, where your unique skills can shine in their entry-level data science openings!
We think you need these skills to ace Math, Physics & Engineering Graduates new
Some tips for your application 🫡
Show Off Your Data Skills:As you're aiming for an entry-level data science role at helloprima, don't forget to highlight your proficiency in programming languages like Python or R. Dive into your CV and mention any relevant projects or coursework that demonstrate your data analysis skills or machine learning knowledge.
Include Relevant Projects:If you've done any data-related projects, whether in your studies or during a personal quest, showcase them in a portfolio. This gives us a tangible sense of your capabilities and shows your hands-on experience with data manipulation, visualisation, or model building.
Tailor Your Cover Letter:When crafting your cover letter, make sure to express your enthusiasm for data science and how this role at helloprima aligns with your career goals. Consider sharing why you’re drawn to data-driven decision-making and how you see yourself growing in this field.
Show Your Curiosity:In the data science world, curiosity is key! Mention any online courses or certifications you've pursued that complement your studies. This could be anything from a statistics certification to a data visualisation workshop. It shows us you're serious about learning and growing in this field.
How to prepare for a job interview at helloprima
✨Brush Up on Your Statistics
For a data science role, the interview may involve some statistical questions or problems. Make sure you're comfortable with concepts like probability, distributions, and hypothesis testing. This will not only help you answer questions but also show your analytical thinking.
✨Get Hands-On with Tools
Familiarise yourself with popular data science tools like Python, R, and SQL. If you're asked about specific projects, be ready to discuss the tools you used and how they contributed to your analysis. Showing that you not only know the theory but can apply it is essential!
✨Showcase Relevant Projects
As an entry-level candidate, your portfolio is crucial. Bring along examples of data projects you've worked on, whether during your studies or personal projects. Discuss the challenges you faced and how you overcame them, highlighting your problem-solving skills.
✨Prepare for Case Studies
Entry-level interviews in data science often include case studies where you'll have to analyse a dataset or solve a problem on the spot. Try out some practice case studies beforehand, so you're not caught off guard. It's all about displaying your thought process and how you tackle data-driven challenges!
