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- Tasks: Develop analytics and AI solutions to tackle business challenges in M&A, underwriting, and claims.
- Company: Join a leading-edge firm that values innovation and collaboration.
- Benefits: Enjoy a supportive work environment with opportunities for career growth and development.
- Why this job: Be empowered to make an impact while working on exciting projects with cutting-edge technology.
- 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 42000 - 84000 £ 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.
Contact Detail:
Star Actuarial Futures Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Actuary/Data Scientist
✨Tip Number 1
Network with professionals in the insurance and data science sectors. Attend industry events, webinars, or meetups to connect with potential colleagues and learn about the latest trends and technologies that could give you an edge.
✨Tip Number 2
Showcase your coding skills by working on personal projects or contributing to open-source initiatives. This not only demonstrates your proficiency in languages like R and Python but also highlights your ability to apply these skills in real-world scenarios.
✨Tip Number 3
Prepare to discuss your experience with data visualisation tools and techniques. Be ready to explain how you've effectively communicated complex data insights to non-technical audiences in previous roles, as this is crucial for the position.
✨Tip Number 4
Familiarise yourself with the company's recent projects and initiatives in analytics and AI. Understanding their current challenges and successes will allow you to tailor your discussions and demonstrate how you can contribute to their goals.
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 enthusiasm for the role and the company. Discuss how your background in analytics and AI solutions aligns with their needs. Use specific examples from your past experiences to demonstrate your ability to solve business challenges and drive innovation.
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 developed, especially those that demonstrate business value in M&A/underwriting and claims.
Prepare for Technical Questions: Be ready to discuss your technical skills and experiences during the interview process. Brush up on your knowledge of coding languages and data visualisation techniques, as well as how you communicate complex data insights to non-technical audiences. This preparation will help you convey your expertise effectively.
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, to demonstrate your hands-on experience.
✨Communicate Complex Ideas Simply
Since you'll need to present insights to a non-technical audience, practice explaining your past projects in layman's terms. This will show your ability to bridge the gap between technical and non-technical stakeholders.
✨Highlight Collaborative Experiences
Emphasise any previous roles where you worked closely with cross-functional teams. Discuss how you built relationships and collaborated on projects, as this role values teamwork and partnership across the organisation.
✨Prepare for Problem-Solving Scenarios
Expect to be asked about how you've tackled critical business challenges in the past. Prepare specific examples that showcase your analytical thinking and innovative solutions, particularly in M&A, underwriting, or claims.
