Data Scientist

Actuarial Data Scientist Are you ready to revolutionise the insurance industry by combining your actuarial expertise with cutting-edge data science techniques? If so, this may be the opportunity for you. This role offers a unique chance to apply actuarial methodologies alongside advanced data science technologies, creating innovative solutions for complex insurance challenges. If you are a motivated Actuarial Data Scientist with a passion for innovation and a desire to make a difference, we encourage you to apply and join our team at Aon. This is a hybrid role with the flexibility to work both virtually and from our Dublin office Aon is in the business of better decisions At Aon, we shape decisions for the better to protect and enrich the lives of people around the world. As an organisation, we are united through trust as one inclusive team and we are passionate about helping our colleagues and clients succeed. What the day will look like As an Actuarial Data Scientist at Aon, you will spend your day analysing complex datasets to assess risk and forecast financial outcomes, primarily in the insurance sector. You will collaborate with cross-functional teams to develop predictive models and provide insights that drive strategic decision-making. Your role involves leveraging statistical techniques and machine learning algorithms to enhance actuarial models and optimise business processes. How this opportunity is different This opportunity offers a unique blend of actuarial expertise and advanced data science techniques, offering a chance to innovate within the insurance industry. This position allows you to apply actuarial methodologies in non-traditional settings, using cutting-edge tools like You will collaborate with a multi-disciplinary team, including data scientists, engineers, and domain experts, fostering a dynamic environment that encourages creativity and initiative. Skills and experience that will lead to success Experience working in or collaborating with actuarial teams in general insurance with experience of statistical modelling/actuarial modelling using data science techniques Actuarial knowledge of frequency and severity modelling as it relates to general insurance and motivated to use this knowledge in combination with data science models to build new solutions Experience with a programming language and enthusiasm to learn and develop ability to use python Ability to convey complex models and new technologies to non-technical audiences Motivated to be at the cutting edge of technology and data science building new solutions to unsolved problems in the insurance sector Excellent communicator (both verbally and in writing) with internal and external clients How we support our colleagues In addition to our comprehensive benefits package, we encourage an inclusive workforce. Plus, our agile environment allows you to manage your wellbeing and work/life balance, ensuring you can be your best self at Aon. Furthermore, all colleagues enjoy two "Global Wellbeing Days" each year, encouraging you to take time to focus on yourself. We offer a variety of working style solutions for our colleagues as well. Our continuous learning culture inspires and equips you to learn, share and grow, helping you achieve your fullest potential. As a result, at Aon, you are more connected, more relevant, and more valued. Aon values an innovative and inclusive workplace where all colleagues feel empowered to be their authentic selves. Aon is proud to be an equal opportunity workplace. Aon provides equal employment opportunities to all employees and applicants for employment without regard to race, colour, religion, creed, sex, sexual orientation, gender identity, national origin, age, disability, veteran, marital, domestic partner status, or other legally protected status. We welcome applications from all and provide individuals with disabilities with reasonable adjustments to participate in the job application, interview process and to perform essential job functions once onboard. #LI-JM3 2555614 To be considered for this role you will be redirected to and must complete the application process on our careers page. To start the process click the Apply button below to Login/Register.