The position available is in the Discovery Health Operations Intelligence unit. We use cutting edge big data’ hardware and software to glean actionable insights.
Key Responsibilties The successful applicant will be working within a highly specialized and growing team investigating ways to optimize and improve client services for Discovery’s client schemes.
Responsibilities will include :
Connecting with a multitude of stakeholders to understand the data in a healthcare and operational context
Mining large structured and unstructured datasets to find new insights to inform operational efficiency and member- delight’ interaction strategies
Research and application of the most up to date machine learning algorithms and AI techniques
Present data and model findings in a way that provides actionable insights
Implementing results for use in both the internal and external environments
Monitoring model performance
Improve processes and databases where opportunities arise
Technical skills core :
Expert in data science programming languages such as R, Python, Scala
Expert in data manipulation skills including SQL to extract, transform and load data
Experience in interactive data exploration and data-driven story telling
Understanding and application of Big Data and distributed computing principles
Hands on experience with Big Data systems will be preferred
Strong analytical and statistical knowledge with an understanding of the latest machine learning algorithms for both structured and unstructured data
Ability to formulate problem statements and develop a plan for tackling the problem
Strong ability to communicate findings and recommendations from data (visual, verbal and written)
Production environment machine learning and AI
Technical skills additional :
Experience with Google Tensor flow is preferred
Experience in sourcing and combining data from both structured and unstructured sources
Experience in a statistical modelling tool (SPSS modeller (preferred), SAS)
Behavioral skills :
A passion for data exploration and analytics
Self-starter
Willingness to learn and grow exponentially
A restless curiosity towards data and uncovering unknown correlations
Ability to work cohesively in a team environment and balance multiple priorities
A team player who can work alone when required and without supervision
High level of attention to detail, resilience, enthusiasm, energy and drive
Positive, can-do attitude
Ethical and able to maintain confidentiality and manage boundaries
Aligned to Discovery values and core purpose
Professional Qualifications & Experience
Honours or Master’s degree in either Data Science, Statistics, or Applied Mathematics with some experience in software engineering, computer science or working with big disparate sets of data, OR
Honours or Master’s degree in Computer Science or Software Engineering with solid experience in statistical modelling, data mining and machine learning
Other analytical qualifications will also be considered if accompanied by the relevant experience
A minimum of 2 years work experience in a data science position