DATA SCIENTIST – DUBLIN/LETTERKENNY HYBRID

Optum is a global organisation 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.

REQUIRED QUALIFICATIONS OF THE DATA SCIENTIST:

• Degree in mathematics, physics, computer science, engineering, statistics, bioinformatics, actuarial science or similar.

TECHNICAL SKILLS:

• Ability to clean, transform, and analyze data using programming languages such as Python or SQL
• Experience with statistical modelling and machine learning techniques
• Proficiency in data visualization and communication of results
• Understanding of database management, data structures and modern big-data frameworks

BUSINESS SKILLS:

• Understanding of business objectives and ability to translate them into data science projects
• Familiarity with project management methodologies and ability to manage projects with clear timelines and deliverables
• Ability to collaborate with cross-functional teams and communicate technical concepts to non-technical stakeholders
• Understanding of ethical considerations in data science and ability to apply them in practice

INTERPERSONAL SKILLS:

• Good communication skills and ability to work collaboratively in a team environment
• Demonstrated ability to learn quickly and adapt to new technologies and tools
• Attention to detail and ability to prioritise tasks effectively
• Strong problem-solving skills and ability to work independently to solve complex problem
• Strong presentation skills and ability to communicate complex technical concepts to non-technical stakeholders

PREFERRED QUALIFICATIONS:

• Masters or PhD in applied mathematics, physics, computer science, engineering, statistics, bioinformatics, actuarial science or similar.
• Proficiency in Python, PySpark and other relevant environments.
• Experience or knowledge with cloud-based data analytics such as Azure, Snowflake and Databricks
• Experience in working with healthcare and/or temporal data.
• Track record of designing and applying machine learning solutions for real world problems.

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 2,100 talented individuals. With a continued record of growth and stability, we’re on the constant lookout for fresh talent to join our expanding teams.
You will be working on innovative AI projects driving and supporting various advanced analytic solutions aimed to improve healthcare delivery. You will be an important member of a Data Science team focused on innovation; developing predictive models that leverage data in new and exciting ways. It will give you a great opportunity to get into the Healthcare Data world and learn best practices in the industry working with data both on-prem and in cloud.
You will work in close collaboration with business and product stakeholders, as well as with Business Intelligence and Data Engineering teams. You will contribute across the Data Science toolset, patents or products in areas like shared codes, best practices, technology and quality. You will embrace continuous learning and evangelizing of Data Science practices to ensure industry best practices and technology adoption. In addition to having impact on a great team, you’ll also discover the career opportunities you’d expect from an industry leader.

PRIMARY RESPONSIBILITIES OF THE DATA SCIENTIST:

• Research, interpret, and analyse diverse and complex data and communicate findings to inform the business.
• Work with business to develop and operationalize analytic solutions
• Leverage big data analytics infrastructure comprising Python, Spark, Databricks and Snowflake to solve complex business problems in the healthcare domain.
• Collaborate with fellow data scientists, business analysts, data engineers and subject matter experts to design and oversee the development of data science solutions.
• Contribute to and engage with the innovation and patenting programmes.
  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.