Data Analysis Project
About the Role
Analyse and interpret complex datasets to create valuable insights.
Work with real-world data and use AI tools, predictive modelling, and analytics.
What You Will Gain:
Hands-on experience with cutting-edge AI and analytics technologies in a thriving industry.
Opportunity to develop and refine your data analysis skills in a practical, impactful project.
Exposure to real-world applications of data in risk mitigation and insurance technology.
The chance to contribute to innovative solutions that drive better decision-making in the insurance sector
Ideal Candidate:
Currently pursuing a degree in Data Science, Computer Science, Statistics, or a related field
Proficient in data analysis tools such as Python, R, SQL, or Excel
Strong analytical and problem-solving skills
Eager to learn and apply data analysis to real-world challenges.
Intelligent Ai
We believe intelligent insight is the key to better business decision making, which will, in turn, create a better world. We want to help you make more informed decisions faster. That's why we've built the Intelligent Risk Underwriting platform that uses artificial intelligence to provide actionable insights.
Intelligent risk profiles, or Digital Twins, are created on 100% of your locations. A statement of location values (SOV), risk survey reports, natural catastrophe data, 3D mapping and satellite imagery, and 300 other data sources are combined to create a 360-degree digital twin view of risks for every location and its surrounding area. Analytics, artificial intelligence and predictive modelling are used to calculate risk scores and identify opportunities for risk mitigation.
The Recruitment process
How to Apply:
Submit Your Interest: Begin by submitting your interest for the position. We’re excited to learn more about you and your interest in the position.
Receive a Bespoke Task: We will send you a customised task tailored to the specific responsibilities of the position. This task will simulate the real-world challenges you’ll face in the role, allowing you to showcase your data analysis skills and approach. It's designed to ensure you have a clear understanding of what working with us entails, and provides a chance to demonstrate your potential beyond just your past experience.
Complete the Task: You’ll be given a set time frame to complete the task. During this time, you'll have the opportunity to apply your abilities, skills, and creativity.
Receive Detailed Professional Feedback: After you submit your completed task, it will undergo a thorough review by our professional team. You’ll receive detailed feedback on your work, outlining strengths, areas for improvement, and insights on how your work compares to industry standards. This feedback aims to support your growth, offering you invaluable guidance whether you advance in the process or not.
Outcome & Final Interviews: Once we’ve reviewed all the tasks, we will select candidates based on their performance and potential. Your merit and how you approached the task will be the key deciding factors, rather than relying on your past experience. If you’ve shown promise and your skills align with what we’re looking for, you will be invited to the final interview stage, where we’ll dive deeper into your qualifications and how you’d contribute to our team.