Analyst(Data/ Business/ Application)

Senior Data Scientist

As our Senior Data Scientist, you will join our United Clinical Services group working on a range of innovative solutions that are helping to transform value-based care. You will join a small, multi-disciplinary and talented team that are helping to improve healthcare delivery, working on projects that have a real impact and business value and are used by both Clinicians and external Providers. You will use your expertise in machine learning and use of cutting-edge tools in order to show the true value of the healthcare data that we have, allowing clinicians and Providers to unlock new and more effective ways to increase value and success. 

Primary Responsibilities:

  • Collaborate with team members and business partners to determine problem definition and requirements, manage expectations, and meet timelines
  • Propose innovative ways to look at problems using machine learning & data mining
  • Use appropriate sampling, data preparation, analytic and statistical methodology to develop predictive models; combine this with business strategy skills to develop solutions that leverage datasets of any quantity, shape or size
  • Discover insights and opportunities using statistical, data mining and visualization techniques
  • Document, summarize and communicate findings, verbally and visually, in a way that is easily understood by internal business partners
  • Seek out new data sources that fill gaps and improve models
  • Help source, clean and verify integrity of data used for analysis
  • Support business needs around analytics, predictive modeling and business intelligence
  • Cross – train with team members on software skills, data sources and other work aspects
  • Degree in Analytics, Statistics, Physics, Mathematics, Engineering, other with a significant quantitative aspect or equivalent experience
  • Experience in advanced analytics and machine learning projects
  • EDA on variety of datasets – validating data, interpreting results of analysis, identifying variances / trends / root cause and providing solutions
  • In depth knowledge and hands-on computer programming in SQL, Python, R, or similar programming language
  • Deep understanding of supervised and unsupervised machine learning techniques – e.g. regression, clustering, decision trees & random forests, predictive analytics

Preferred Qualifications:

  • Master’s or PhD degree in a quantitative discipline
  • Experience with AI based solutions/deep learning
  • 20 – 30% data engineering experience
  • Familiarity with healthcare data
  • Data visualisation experience – Tableau, PowerBI, Opensource (Plotly) etc…
  • Experience with ETL processes to extract, transform and load data across disparate systems