At a Glance
- Tasks: Leverage data science to support pricing and risk management in a dynamic reinsurer.
- Company: Leading reinsurer in London, specialising in actuarial search.
- Benefits: Competitive salary, fixed-term contract, and flexible working arrangements.
- Other info: Opportunity to work in a collaborative environment with career growth potential.
- Why this job: Make an impact in the insurance industry with your data science expertise.
- Qualifications: PhD in medical, statistical, or computer science; scripting language skills required.
The predicted salary is between 63000 - 77000 £ per year.
pmactuarial (PMA) specialise in Actuarial search within UK Life insurance.
We have been asked to fill a data science vacancy for a London based reinsurer.
The details are as follows
- Reinsurer
- 2 days per week in London
- £50,000 - £55,000
- 3 year fixed term contract.
This role will leverage data science and actuarial expertise to support pricing, risk management and decision making.
The ideal candidate will have recently finished or be finishing a Ph D within a medical, statistical or computer science subject.
Whilst previous experience of applying data science within life insurance is not essential, it would be advantageous.
A strong ability with a scripting language is required. Our client works on R which would be desirable but not essential.
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Data Science (Phd finisher) employer: The Actuary
At PMA, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation. Our commitment to employee growth is evident through tailored development programmes and the opportunity to lead impactful projects in the heart of the UK life insurance sector. With locations in London, Bristol, and Watford, we provide a vibrant environment where actuaries can thrive and make meaningful contributions to our clients' success.
StudySmarter Expert Advice🤫
We think this is how you could land Data Science (Phd finisher)
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like The Actuary before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like The Actuary.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like The Actuary.
We think you need these skills to ace Data Science (Phd finisher)
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at The Actuary, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to The Actuary, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab The Actuary’s attention and show the tangible impact of your work.
How to prepare for a job interview at The Actuary
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at The Actuary.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at The Actuary.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at The Actuary.
