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.
As a Fortune 5 business, we’re one of the world’s leading healthcare companies. There are no limits here on the resources you’ll have or the challenges you’ll encounter.
We have been supporting global healthcare systems from Ireland and the UK for more than 20 years, building a dynamic and diverse team of more than 2,100 talented individuals. With a continued record of growth and stability, we’re on the constant lookout for fresh talent to join our expanding teams.
Senior Data Scientists working within the Optum Ireland R&D team supporting Optum Home and Community and UHC Stars are developing cutting edge analytical products from one of the world’s richest healthcare datasets. You will be at the intersection of business, technology and data science. This role will play a critical part in developing the next generation value-based care analytic engine.
Schedule: Full-time position, Monday - Friday with standard working hours
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 Offices and telecommuting from a home-based office in a hybrid work model.

REQUIRED QUALIFICATIONS:

• Bachelor’s degree in engineering/computer/statistics or related fields
• Experience in analytics / data science in a business or academic context
• Experience using AI to solve complex technical problems
• Experience accessing data from various data environments
• Knowledge of statistics, machine-learning and numerical / computational methods with experience in the application of these methods to business problems
• Extensive programming experience with Python/Pyspark or other analytics languages

PREFERRED QUALIFICATIONS:

• Masters degree pr PhD in a technical field (e.g. computer science, science, engineering, math / stats, physics etc.)
• Experience working within a software development team and using version control systems such as Git
• Experience of large-scale distributed computing environments (Hadoop, Snowflake, Databricks etc)
• Experience developing analytical solutions on cloud computing platforms i.e. Azure
• Experience applying deep learning methods to business problems using TensorFlow, Keras, etc.
• Experience with supervised and unsupervised learning methods for model build and deployment
• Experience applying LLM, NLP, and other computational algorithms and statistical methods to structured and unstructured data
• Experience of the US Healthcare sector

• Be an independent thinker and advocate of data science methods and applications
• Research, develop and apply new innovative analytics methods and technologies from other domains to healthcare data
• The ability for critical thinking outside your immediate sphere of responsibility
• Work with autonomy and in partnership with other Data Scientists to find solutions to complex problems
• Leverage technical / analytical expertise across the enterprise to architect, deploy and oversee analytics and technology solutions
• Prototype new products and solutions that have the capability to transform the industry
• Ability to articulate and paint a vision, with strong communication and presentation skills, as well as strengths in translating highly complex concepts, results, models and technologies in ways that can be understood by a variety of audiences
• Be familiar with the state-of-the-art around big data analytics and associated technologies and techniques
• Have experience with Commercial environments and/or Products (not just internal focused)
• Be a leader for a variety of projects including proofs of concept, new product / component development, and reengineering initiatives among others
• Work as part of a small team, sharing ideas and contributing to the strategic goals
  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.