Actuarial Consultant,

Optum

Dublin

Hybride

EUR 75 000 - 110 000

Plein temps

Il y a 4 jours
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Avantages offerts par ce poste

Hybrid work model
Actuarial study support programme

Résumé du poste

Optum Advisory is seeking an Actuarial Consultant to join the team in Ireland, contributing to next-generation pricing and analytics for U.S. health insurance markets.

You will work at the intersection of actuarial modelling, ML, and data engineering, advancing pricing strategy while pursuing actuarial qualification through Optum's programme. You will gain exposure to large healthcare datasets and cloud platforms, with paid study leave and salary steps tied to exam progress, all within a global,

Qualifications

  • Partially qualified actuary with proven experience in actuarial, insurance, analytics, or related quantitative disciplines
  • Interest in data science, predictive modelling, machine learning, and artificial intelligence
  • Demonstrated programming experience and aptitude for working with large datasets
  • Analytical, problem-solving, and attention-to-detail skills
  • Proven ability to work independently while collaborating within multidisciplinary teams
  • Curiosity, adaptability, and willingness to learn new technologies and methodologies

Responsabilités

  • Leverage AI tools to deliver value in pricing and analytics
  • Apply actuarial techniques to analyse healthcare and insurance data
  • Develop, validate, and maintain pricing datasets and predictive models
  • Build and enhance models using ML and AI techniques
  • Perform data validation and quality assurance for data integrity
  • Support design, testing, and enhancement of pricing and forecasting solutions
  • Collaborate with actuarial, data science, product, and engineering teams
  • Contribute to development of products/tools for U.S. health insurance market
  • Pursue actuarial qualification through Optum's development programme

Connaissances

Data science interest
Programming with large data
Independent + collaborative
Analytical problem-solving
Actuarial curiosity

Formation

Partially qualified actuary

Outils

R
Python
SQL
Databricks
Microsoft Azure
GitHub

Description du poste

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start

Caring. Connecting. Growing together.

About The Role

As an Actuarial Consultant, you'll join the Optum Advisory team, supporting the development of next-generation pricing and analytical solutions for the U.S. health insurance market using cutting edge data science models and tools. This is a unique opportunity for a developing actuary with a passion for data science and emerging technologies. You'll work at the intersection of actuarial modelling, machine learning, artificial intelligence, and data engineering, helping to design and deploy innovative solutions that influence pricing strategy and business performance. Working alongside experienced actuaries, data scientists, and technology professionals, you'll gain exposure to large-scale healthcare datasets, advanced analytical techniques, and modern cloud-based data platforms, all while progressing toward actuarial qualification through Optum's comprehensive study support programme. Our actuarial development programme includes paid study leave, reimbursement for study materials and exams, and salary increases tied to exam success, ensuring you have the support and resources needed to accelerate your career. As part of a global organization with access to vast data assets, innovative technologies, and diverse lines of business, you'll have the opportunity to tackle complex challenges, develop highly sought-after technical skills, and make a meaningful impact in healthcare through data and analytics. Careers with Optum offer flexible work arrangements and individuals who live and work in the Republic of Ireland will have the opportunity to split their monthly work hours between our Dublin or Letterkenny office and telecommuting from a home-based office in a hybrid work model.

Primary Responsibilities
  • Leverage AI tools in all aspects of your work to deliver value
  • Apply actuarial and statistical techniques to analyse healthcare and insurance data
  • Develop, validate, and maintain datasets that support pricing and predictive modelling initiatives
  • Build and enhance actuarial models through the application of machine learning and AI methodologies
  • Perform data validation, quality assurance, and reconciliation activities to ensure data integrity
  • Support the design, testing, implementation, and ongoing enhancement of pricing and forecasting solutions
  • Collaborate with actuarial, data science, product, and engineering teams to deliver analytical solutions
  • Contribute to the development of innovative products and tools used within the U.S. health insurance market
  • Continue progressing toward actuarial qualification through Optum's actuarial development programme

You will be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role, as well as providing development for other roles you may be interested in.

Required Qualifications
  • Partially qualified actuary with proven experience in actuarial, insurance, analytics, or related quantitative disciplines
  • Demonstrated interest in data science, predictive modelling, machine learning, and artificial intelligence
  • Demonstrated programming experience and aptitude for working with large datasets
  • Demonstrated solid analytical, problem-solving, and attention-to-detail skills
  • Proven ability to work independently while collaborating effectively within multidisciplinary teams
  • Demonstrated curiosity, adaptability, and willingness to learn new technologies and methodologies
Preferred Qualifications
  • Proven experience utilizing R, Python, SQL, or similar programming languages
  • Demonstrated exposure to machine learning, predictive modelling, or artificial intelligence applications
  • Proven experience working with modern cloud data platforms such as Databricks and Microsoft Azure
  • Demonstrated familiarity with GitHub or other version control tools
  • Proven experience supporting pricing, forecasting, insurance analytics, or insurance product analysis
  • Proven experience within healthcare or health insurance environments

Please note you must currently be eligible to work and remain indefinitely without any restrictions in the country to which you are making an application. Proof will be required to support your application.

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

Diversity creates a healthier atmosphere: Optum is an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to gender, civil status, family status, sexual orientation, disability, religion, age, race, and membership of the Traveller community, or any other characteristic protected by law. Optum is a drug-free workplace. © 2026 Optum Services (Ireland) Limited. All rights reserved.

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