Data Scientist (Intermediate)

Key Purpose 

• In this role you will be involved in creating opportunities that delight our customers by leveraging Discovery’s vast clinical, demographic, and operational data. 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. The successful candidate must be motivated, productive and work well within a team.  

Areas of responsibility may include but not limited to 

• Connecting with a multitude of stakeholders to understand the data in a healthcare context 
• Mining large structured and unstructured datasets to find new insights to inform healthcare efficiency and 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 

Personal Attributes and Skills 

• 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 (Hadoop and MapReduce) 
• 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  
• A passion for data exploration and complex healthcare environment 
• 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  
• Ability to adapt to emerging technologies and tools 
• Proficiency in version control systems such as Git for collaborative coding and maintaining code integrity 
• Ethical and able to maintain confidentiality and manage boundaries  
• Aligned to Discovery values and core purpose 

Education and 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 2-3 years’ work experience in a data science position