Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join our Model Development Team to create innovative models using Python and tackle complex coding challenges.
- Company: Hyperexponential is a cutting-edge tech company revolutionizing the insurance industry with advanced analytics.
- Benefits: Enjoy competitive salary, generous holiday, training budget, private healthcare, and fun team events.
- Why this job: Work with brilliant minds, push tech boundaries, and make a real impact in the insurance sector.
- Qualifications: 4+ years in predictive modeling, strong Python skills, and a self-starter attitude are essential.
- Other info: Participate in hackathons and contribute to our blog and community initiatives.
The predicted salary is between 43200 - 72000 £ per year.
Model Development at hyperexponential
The Model Development Team are the experts’ experts of hx Renew, knowing it top-to-bottom, inside-out – both breadth and depth. You’ll know its limits and which can be pushed. You’ll know every trick in the book, the secret combos, and the cheat codes. You’ll combine all of this with a deep knowledge of insurance technology to present ‘the art of the possible’ (and sometimes seemingly impossible!) to our customers and help develop cutting-edge tech, while working alongside some of the brightest, most ambitious people in the tech and insurance industries.
Key responsibilities
-
Learn the hx Renew modelling platform – you’ll ship your first models independently within days!
-
Build models in Python for seamless integration, using cutting edge approaches
-
Work directly with customer actuarial teams, partner developers and our internal development teams to solve the most complex coding problems using Python
-
Develop cutting-edge technical solutions while working with incredibly bright, passionate, ambitious people
-
Review our existing Python model development approach and contribute to our best-practice guides
-
Consistently contribute to and improving our internal and external training & development materials
-
Day-to-day quality assurance process of in-flight client and internal projects
-
Always seek out opportunities to improve our model development standards and ways of working
Required skills & experience
-
A flair for Python – we’ll take you to the next level here but you’ll need production grade Python experience to hit the ground running
-
4+ years of experience using predictive modelling and advanced analytics methods
-
Exposure to insurance or reinsurance pricing techniques
-
A self-starter attitude – you can operate autonomously within a high-trust, high-accountability environment. You proactively drive your own personal development and stay up-to-date with the latest industry/tech trends and challenges
-
Evidence of a passion for experimenting with new approaches and technologies both through your work and extracurricular learning – we host a lot of hackathons so you won’t be short of opportunities!
Bonus points for:
-
Experience working in a customer-facing role
-
Insurance market knowledge that will boost hyperexponential’s ability to support initiatives in Lloyd’s, the IFoA and elsewhere
-
A willingness to promote hyperexponential’s (and your own!) work, e.g. by writing on our blog, presenting at (virtual) meetups/conferences, or supporting other initiatives
Interview Process
-
Initial call with our Talent team to kick things off
-
Manager Interview
-
Skills Interview
-
Values Interview
-
We offer!
What do we offer?
-
Competitive salary + very staff-friendly share options
-
£5,000 for individual and group training and conference budget
-
25 days’ holiday plus 8 bank holiday days (33 in total)
-
Company pension scheme via Penfold
-
Mental health and therapy provision via Spectrum.life
-
Individual wellbeing allowance viaJuno
-
Private healthcare insurance through AXA
-
Top-spec equipment (laptop, screens, adjustable desks, etc)
-
Regular remote & in-person hackathons, lunch & learns, socials and games nights
-
Team breakfasts and lunches, snacks, drinks fridge, fun office @ The Ministry
-
Huge opportunity for personal development and mastery as we grow together!
#J-18808-Ljbffr
Senior Actuarial Data Scientist employer: Hyperexponential Ltd
Contact Detail:
Hyperexponential Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Actuarial Data Scientist
✨Tip Number 1
Familiarize yourself with the hx Renew modelling platform before your interview. Understanding its features and capabilities will not only impress the team but also show your proactive approach to learning.
✨Tip Number 2
Brush up on your Python skills, especially in predictive modeling and advanced analytics. Being able to discuss specific projects or challenges you've tackled using Python will demonstrate your expertise and readiness for the role.
✨Tip Number 3
Showcase your passion for innovation by discussing any hackathons or personal projects you've participated in. This will highlight your self-starter attitude and willingness to experiment with new technologies.
✨Tip Number 4
Prepare to discuss your experience in customer-facing roles, if applicable. Sharing examples of how you've collaborated with clients or stakeholders can set you apart and align with the team's collaborative culture.
We think you need these skills to ace Senior Actuarial Data Scientist
Some tips for your application 🫡
Understand the Role: Dive deep into the job description for the Senior Actuarial Data Scientist position. Make sure you understand the key responsibilities and required skills, especially around Python and predictive modeling.
Highlight Relevant Experience: When crafting your CV and cover letter, emphasize your 4+ years of experience in predictive modeling and any exposure to insurance or reinsurance pricing techniques. Use specific examples to demonstrate your expertise.
Showcase Your Passion: In your application, express your enthusiasm for experimenting with new technologies and approaches. Mention any relevant projects, hackathons, or extracurricular activities that showcase your proactive learning and self-starter attitude.
Tailor Your Application: Customize your CV and cover letter to reflect the language and values of hyperexponential. Highlight how your skills align with their mission and how you can contribute to their model development standards.
How to prepare for a job interview at Hyperexponential Ltd
✨Master the hx Renew Modelling Platform
Before your interview, familiarize yourself with the hx Renew modelling platform. Understand its features and limitations, as this knowledge will demonstrate your readiness to contribute effectively from day one.
✨Showcase Your Python Skills
Prepare to discuss your experience with Python in detail. Be ready to share specific examples of projects where you've used production-grade Python, especially in predictive modelling and advanced analytics.
✨Demonstrate Your Self-Starter Attitude
Highlight instances where you've taken initiative in your previous roles. Discuss how you stay updated with industry trends and your passion for experimenting with new technologies, as this aligns with the company's values.
✨Engage with Customer-Facing Experiences
If you have experience in customer-facing roles, be sure to discuss it. Share how you've collaborated with clients or partners to solve complex problems, as this will resonate well with the team’s collaborative approach.
