Pricing Data Scientist at Optum
Dublin, County Dublin, Ireland -
Full Time


Start Date

Immediate

Expiry Date

07 Aug, 25

Salary

0.0

Posted On

07 May, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Python, Data Science, Version Control, Testing, Sql, Computer Science, Optimization, Data Analysis

Industry

Information Technology/IT

Description

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 makes 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.
In healthcare, evolution doesn’t just happen. It takes innovation, imagination, and a passion for solving problems in new and better ways. And innovation is taking place at a lightning-fast pace every day at Optum.
As the fastest growing part of the UnitedHealth Group family of businesses, we’re expanding our team in Ireland and creating excellent opportunities for those who want greater purpose and more impact in their work. We’ll provide investment, support, and resources to advance your career. You’ll provide talent, ambition, and drive.
You will join a team of data scientists and data analysts who are responsible for building the pricing engine on our pricing platform. We build algorithms that find the optimal combination of prices to achieve multiple targets, given multiple constraints and uncertain future outcomes. We are accountable to build pricing in one of the most complex areas of UnitedHealth Group, one of the largest companies in the world. We bring initiative, innovative thinking and curiosity to constantly evolve in a changing regulatory and competitive environment. The changes we make impact the prices on over 150 million prescriptions in the US market annually.
Our team culture is built on trust. We give our team the space they need to deliver results and the environment to ensure they can have fun doing it.
As a Pricing Data Scientist, you will apply your expertise and skills to develop new pricing logic and algorithms to get more pricing done through our pricing engine as your primary goal. In support of this goal, you will be conducting research and analysis, prototyping solutions, and collaborating with the team.

Primary Responsibilities:

  • Develop logic and algorithms in our Pricing Engine to optimize more pricing on our pricing platform
  • Research methods and solutions, analyze data, prototype solutions and critically evaluate designs to optimize pricing
  • Ensure quality in design and coding outputs
  • Collaborate with the team to solve problems
  • Work independently and with focus when needed
  • Explore, analyze and interpret large datasets to identify patterns, trends and anomalies
  • Maintain your knowledge of latest technologies and techniques relating to analytics and data science
  • Work within the solution delivery methods and standards set out

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

REQUIRED QUALIFICATIONS:

  • Bachelor’s degree (or higher) in engineering, data science, computer science or a related field
  • Programming experience with Python and SQL
  • Experience with data analysis and problem solving

PREFERRED QUALIFICATIONS:

  • Experience with production system change delivery methods and techniques including experience working with the Agile delivery framework, deployment practices, version control and testing practices
  • Knowledge of optimization and prediction model development
  • Experience with Azure analytics solutions
Responsibilities
  • Develop logic and algorithms in our Pricing Engine to optimize more pricing on our pricing platform
  • Research methods and solutions, analyze data, prototype solutions and critically evaluate designs to optimize pricing
  • Ensure quality in design and coding outputs
  • Collaborate with the team to solve problems
  • Work independently and with focus when needed
  • Explore, analyze and interpret large datasets to identify patterns, trends and anomalies
  • Maintain your knowledge of latest technologies and techniques relating to analytics and data science
  • Work within the solution delivery methods and standards set ou
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