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.
If you would like to learn more about the reasonable accommodations we provide, email
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