Principal Data Scientist

2 months ago

Dublin, Ireland UnitedHealth Group Full time

Principal Data Science- Dublin or Letterkenny/ Hybrid

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 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, talented individuals. With a continued record of growth and stability, we're on the constant lookout for fresh talent to join our expanding teams. 

Optum is the technology and services division of UnitedHealth Group, the leading international health insurer. This role is based within the Payment Integrity Decision Intelligence (PIDI) team which is part of Optum Insight.

As a member of the data science team, you will report to the Director of Data Science and in support of Payment Integrity Decision Intelligence (PIDI) to build machine learning solutions and put them in production. A successful candidate will have a deep understanding of data analysis, statistical modelling and machine learning, data science experience in Python or similar languages, hands on experience with state-of-the-art libraries and technologies in machine learning and data processing at scale, and a track record of working with cross functional teams to deliver data science solutions into production.
You will work with other data scientists and subject matter experts to conduct and manage outcomes of various analytic studies. As part of this team, you will be empowered to analyse data, identify opportunities of high-impact data-driven solutions to challenging problems, and build and deploy production-ready models.

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.

Primary Responsibilities:

• Design, develop and deploy machine learning models into production, employing state-of-the-art techniques and libraries, adhering to the organisation’s established processes for transitioning from development to production environments.
• Build and maintain relationships with the wider PIDI cross-functional team to deploy data science solutions into production and ensure consistent delivery toward our commitments.
• Engage with subject matter experts to identify emerging customer needs and develop innovative data-driven solutions to address them.
• Understand and comply with legal, ethical and regulatory considerations in both data science delivery and in the wider business context.
• Provide thought leadership on technological advances in AI and advanced analytics and their applications to the Payment Integrity business.

You will be rewarded and recognised 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:

• Substantial hands-on experience in data science and a track record of developing machine learning models for production.
• Proven expertise in implementing solutions for unstructured text data through the application of advanced natural language processing techniques.
• A track record of proactively identifying and realising opportunities to deliver value through the application of data science.
• Strong communication skills and demonstrated ability to build and maintain relationships with collaborating partners and stakeholders.
• Strong problem-solving skills and ability to navigate ambiguity and uncertainty.
• Advanced Degree in Applied Mathematics, Physics, Computer Science, Statistics, or related technical field.

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.

All telecommuters will be required to adhere to the UnitedHealth Group’s Telecommuter Policy.

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 marginalised 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.

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.
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. © Optum Services (Ireland) Limited. All rights reserved.

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