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Imagine a world where people live healthier, more enhanced and protected lives… A world in which each organisation is a powerful influencer and responsible corporate citizen, committed to being a force for social good. As a leading innovator in healthcare, wellness, insurance, investments, financial and life planning, Discovery works ceaselessly to...
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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. Using this data with predictive modelling and machine learning techniques you will have a direct impact on strategic initiatives to support Discovery’s world-class operations. 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.
Areas of responsibility may include but not limited to
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 to business users
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
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)
Integration and implementation experience
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
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 1 years’ work experience in a data science position
EMPLOYMENT EQUITY
The Company’s approved Employment Equity Plan and Targets will be considered as part of the recruitment process. As an Equal Opportunities employer, we actively encourage and welcome people with various disabilities to apply.
Key Purpose
Areas of responsibility may include but not limited to:
The successful candidate will be required to perform but not limited to the following key outputs in respect of the Care and Claims portfolio:
Business Cases
Business Requirements Models with dependencies
Product Requirements Specification (PRS) – project specific and master:
Requirements Traceability Matrix
Customer Requirements Specification (CRS) – project specific and master:
Product Requirements Specification (PRS) – project specific and master:
Requirements Traceability Matrix
Project Documentation
Project Plan
Project Monitoring and Control Tracking Report
Perform Project Management activities across multiple projects, such as providing the client as well as relevant team members with estimates of the duration of tasks
Release Notes
Training Material
Competencies
The successful candidate must demonstrate the following competencies:
Problem solving
Critical thinking
Innovation drive
Customer service orientation
Business writing and verbal skills
Presentation and facilitation skills
Business and System Process mapping
Business Domain modelling
Software testing pack design
Functional testing
Excellent communication skills
Results orientation
Conflict resolution
Negotiation skills
Project management
Time management
Education and Experience
Minimum IT degree level education (BCom or BSc in information systems or computer science)
Minimum 3 years’ experience in a Business Analyst role
Strong Consulting experience
Business experience and product knowledge
Knowledge of BABOK, ITIL, CMMI, PCMM
Technical knowledge of UML, XML, SQL
Exposure and experience in BPMN Process Design
Exposure and knowledge of industry compliance standards and legislation
EMPLOYMENT EQUITY
The Company’s approved Employment Equity Plan and Targets will be considered as part of the recruitment process. As an Equal Opportunities employer, we actively encourage and welcome people with various disabilities to apply.
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