Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop analytics and AI solutions to tackle business challenges in a collaborative environment.
- Company: Join a leading-edge firm that values innovation and supports your career growth.
- Benefits: Enjoy a supportive culture, opportunities for remote work, and professional development perks.
- Why this job: Be part of a team that drives innovation and makes a real impact in the insurance sector.
- Qualifications: Degree in data science or quantitative discipline; experience in insurance P&C and coding languages required.
- Other info: Contact Diane Anderson for more details about this exciting opportunity.
The predicted salary is between 36000 - 60000 £ per year.
Are you an innovative data scientist or qualified actuary with demonstrable experience of developing analytics & AI solutions? Then this is a fantastic opportunity to join a collaborative, leading-edge firm where you will be supported, valued and empowered to make the most of your career.
With a degree in a data science-related or quantitative discipline, you will have insurance P&C experience. You will also be proficient in various coding languages (e.g. R, Python) and development environments (e.g. R Studio, Jupyter, VS Code). Alongside this, you will be experienced in data visualization and communication around this to present insights to a non-technical audience.
Key Responsibilities:- Support the development & delivery of high value analytics & data science projects across the group's core functions, with a focus on M&A/underwriting and claims, to solve critical business challenges.
- Build collaborative relationships with key partners across the organization to develop innovative, practical solutions.
- Lead the development of proof of concepts and quickly create analytics and AI prototypes to demonstrate business value and drive innovation.
Actuary/Data Scientist employer: Star Actuarial Futures
Contact Detail:
Star Actuarial Futures Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Actuary/Data Scientist
✨Tip Number 1
Familiarise yourself with the latest trends in data science and analytics, especially in the insurance P&C sector. This will not only help you understand the industry better but also allow you to speak confidently about how your skills can contribute to innovative solutions.
✨Tip Number 2
Network with professionals in the field by attending relevant conferences or meetups. Engaging with others in the industry can provide insights into what companies like us are looking for and may even lead to referrals.
✨Tip Number 3
Prepare to discuss specific projects where you've successfully used coding languages like R or Python. Be ready to explain your thought process and the impact of your work, as this demonstrates your practical experience and problem-solving abilities.
✨Tip Number 4
Practice explaining complex data concepts in simple terms. Since you'll need to communicate insights to a non-technical audience, being able to convey your findings clearly will set you apart from other candidates.
We think you need these skills to ace Actuary/Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data science and actuarial work. Emphasise your proficiency in coding languages like R and Python, as well as your experience with data visualisation tools. Tailoring your CV to reflect the specific skills mentioned in the job description will make you stand out.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data science and analytics. Discuss how your background aligns with the company's focus on M&A/underwriting and claims. Use specific examples of past projects where you've developed innovative solutions to demonstrate your capability.
Showcase Your Projects: If you have worked on relevant projects, consider including a portfolio or a brief summary of these projects in your application. Highlight any proof of concepts or prototypes you’ve developed, especially those that demonstrate business value and innovation.
Prepare for Technical Questions: Be ready to discuss your technical skills in detail during the interview process. Brush up on your knowledge of coding languages and data visualisation techniques, and be prepared to explain how you would approach solving business challenges using analytics and AI.
How to prepare for a job interview at Star Actuarial Futures
✨Showcase Your Technical Skills
Be prepared to discuss your proficiency in coding languages like R and Python. Bring examples of projects where you've used these skills, especially in data analytics or AI solutions.
✨Demonstrate Your Problem-Solving Ability
Think of specific instances where you've tackled complex business challenges using data science. Be ready to explain your thought process and the impact of your solutions.
✨Communicate Effectively
Since you'll need to present insights to a non-technical audience, practice explaining your work in simple terms. Use visuals if possible to illustrate your points clearly.
✨Build Collaborative Relationships
Highlight your experience in working with cross-functional teams. Discuss how you’ve built relationships in previous roles to drive innovation and deliver successful projects.
