Jobs at Discovery Limited

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.

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Key Purpose

Determine operational objectives by studying business functions, understanding the business requirements, and through a structured process documenting, validating and translating it into functional specifications that are used by developers to craft a technical solution. Testing and validating the functionality of the technical solution against the business requirements. Interfacing between the business client and the development team with regards to the business and functional requirements. Ensuring that the business requirements are delivered in the implemented solution. Building and maintaining strong relationships with clients, and acting as consultant on the application.

Areas of responsibility may include but not limited to

• Determine operational objectives by studying business functions and elicit requirements.

• Document the requirements into user stories.

• Review the business requirements with the business, using appropriate formats.

• Obtain sign-off on the business requirement.

• Adhere to the SDLC and standards throughout the analysis process.

• Review the approved business requirement with the development team.

• If required, revert to management or other stakeholders if technical issues require business decisions in order to proceed.

• Ensuring that the customer requirements are delivered in the implemented solution, on time and of the highest quality.

• Validate and verify the solution proposal with the business.

• Draw up high level test cases.

• Provide testing support and guidance where required to the testing team.

• Evaluate and measure efficiencies of business processes and provide recommendations.

• Proactively identify risk pertaining to the project.

• Prepare risk management plan.

• Manage operational components of the area such as standard operation procedures.

• Proactively identify areas of improvement within the department.

• Drive efficiencies in the business.

• Ability to work independent as well as ability to work in a team.

• Defend the client business requirements.

• Working with multiple business areas and multiple teams that require deep integration of solutions.

• Complete the initiation documents and present the relevant proposals at the prioritization forums.

• Produce high-level customer journeys and prototypes

• User testing

Personal Attributes and Skills

Behavioural Competencies:

• Drives Results

• Values Driven

• Optimistic

• Learns on the Fly

• Resilient

• Instils Trust

• People Savvy

• Drives Results

• Problem Solver

• Leadership Skills

• Strategic Agility

• Manages complexity

• Balances Stakeholders

• Relationship building and networking

• Highly adaptable and resilient (Able to work under pressure and Change Readiness)

• Ability to prioritize and work on multiple tasks simultaneously

• Ability to deal with complex models and their application

Technical Skills:

• Project Management

• SQL queries

• Business Writing, Presentation and Facilitation Skills

• Solution Architecture and Process Mapping

• Entity Diagram mapping

• Software testing pack design, functional testing

• Experience using formal modelling languages (UML, etc.) and modelling tools (Enterprise Architect, Visual Paradigm etc.)

• Exposure to Agile principles and methodologies, including Continuous Integration and Test Driven Development

Education and Experience

Qualification

• Relevant tertiary qualification/Informatics degree or Recognised BA qualification/diploma (Compulsory)

• Agile knowledge

Experience

• More than 5 years’ experience as a Business Analyst (Compulsory)

• More than 2 years’ experience in the Insurance Industry

• Testing experience

Knowledge

• Technologies: SQL, UML, XML, SOAPUI, Enterprise Architect, Visio, Quality Center, Jira

• Other: facilitating JAD sessions, data modelling techniques, UML Process Design, Industry compliance standards and legislation.

• UX design and User Testing

go to method of application »

What is the role

In the Discovery Health Data Science unit, our core purpose is “creating intelligence for a healthier tomorrow” by leveraging Discovery’s vast data to drive valuable insights to improve both clinical and operational environments. Key to our purpose is obtaining and structuring quality data, leveraging cutting edge analytical innovations and delivering actionable insights in a sustainable and meaningful way. We leverage an integrated, collaborative, and multidisciplinary approach to ensure our objectives and goals are met.

The role entails architecting the data platform layer, data cleansing layer, reporting and analytical layers within a cloud environment. Work closely with Data Scientists to understand model features and link back to transactional environment to understand data quality, data relationships and data availability. Document and define frameworks with the Data Engineer to build the data platform. Together these teams will enable data driven actionable insights. The role may include international exposure with Discovery partnerships.

What you will do

• The successful applicant will be working within a highly specialized and growing team to enable delivery of data and advanced analytics system capability.

• Responsibilities will include:

• Provide Data Architecture (DA) support for the Data Engineering team

• Define DA for the Data Science teams and participate in review and walk-through sessions for model fit and model producionization

• Assist with the definition of custom meta data models for ELT/ETL

• Direct data automation capabilities with the Data Engineer and Data Scientist

• Profile new data sources in a variety of formats including Json, XML, etc

• Define data quality rules with Data Scientists to clean data

• Define data mapping and transformation rules between source and datawarehouse

• Work closely with Data Engineer to facilitate Data Governance including access and security control

• Expert documentation of DA for new data sources, metadata and productionized information flow

What skills you will need

Technical skills core:

• Programming in R, Python

• Expert database knowledge in SQL and experience with MS Azure

• Modern Azure datawarehouse design skills

• Exceptional data modelling skills ie physical, dimensional and relational 3N forms

• Experience working on large and complex datasets

• DevOps/DataOps and CI/CD experience

• Strong communicator verbally and in writing

Technical skills additional:

• AWS experience

Behavioural skills:

• Strong leader

• A passion for data

• Highly analytical and critical thinker

• Self-starter

• Willingness to learn and grow exponentially

• A restless curiosity in learning new technology

• 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 BSc Computer Science

• Honours or Master’s degree in Engineering or Software Engineering with solid experience in data mining and machine learning

• Other qualifications will also be considered if accompanied by the relevant experience

• 5 to 15 years of experience is preferred

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.

go to method of application »

Areas of responsibility may include but not limited to

• Working as a collaborative member of the Scrum team

• Writing and executing test cases against stories, creating and maintaining tests in line with agreed testing standards and practices

• Documenting defects and making these visible to the teams and the Product Owner

•  Providing feedback on user stories from a quality point of view and promoting bug prevention strategies, testability, accessibility and other QA concepts

•  Collaborating with other testers, BAs, developers, designers and other experts across the business to deliver business and customer value

•  Being proactively involved in the end-to-end lifecycle of digital features including code reviews, user stories grooming, requirements understanding

•  Actively participating in all relevant Agile ceremonies and cadences

Personal Attributes and Skills

• Strong experience with: Cucumber, API Testing, Selenium WebDriver, Continuous Integration & Performance testing

• Excellent working knowledge of test methodologies, writing test plans, creating test cases and debugging

• Extensive technical understanding across the digital domain

• A thorough understanding of testing/QA best practices

• Experience working in large, complex organisations

• Demonstrated experience in successfully contributing to development teams in an Agile/Scrum environment

• Understanding of common software failures and faults

• Knowledge of the domain (highly desirable)

• Knowledge of the system or application-under-test (highly desirable)

• Experience in a variety of testing efforts (desirable)

Education and Experience

• IT Diploma or other relevant degree

• At least 5+ years experience in manual testing

• ISTQB Foundation Level Certificate

Advantageous

• 1 – 2 years in automation experience

Methodologies

• Agile

Tools

• Continuous Integration

• Jira

• Confluence

• Quality Centre

• Postman and SoapUI

go to method of application »

What is the role

In the Discovery Health Data Science unit, our core purpose is “creating intelligence for a healthier tomorrow” by leveraging Discovery’s vast data to drive valuable insights to improve both clinical and operational environments. Key to our purpose is obtaining and structuring quality data, leveraging cutting edge analytical innovations and delivering actionable insights in a sustainable and meaningful way. We leverage an integrated, collaborative, and multidisciplinary approach to ensure our objectives and goals are met.

The role entails building a reusable sustainable framework to ensure collection, processing and availability of high quality health care data to enable us to achieve the core purpose. The Data Engineer will work collaboratively with the Program Managers, Data Scientists, Systems Architects to define data sources and to build a custom data framework that facilitates Machine Learning, AI and productionising AI models based on the principles of ETL/ELT. Together these teams will enable data driven actionable insights. The role may include international exposure with Discovery partnerships.

What you will do

The successful applicant will be working within a highly specialized and growing team to enable delivery of data and advanced analytics system capability.

Responsibilities will include:

• Develop and implement a reusable architecture of data pipelines to make data available for various purposes including Machine Learning (ML), Analytics and Reporting

• Work collaboratively as part of team engaging with system architects, data scientists and business in a healthcare context

• Define hardware, tools and software to enable the reusable framework for data sharing and ML model productionization

• Work comfortably with structured and unstructured data in a variety of different programming languages such as SQL, R, python, Java etc

• Understanding of distributing programming and advising data scientists on how to optimally structure program code for maximum efficiency

• Build data solutions that leverage controls to ensure privacy, security, compliance and data quality

• Understand meta-data management systems and orchestration architecture in the designing of ML/AI pipelines

• Deep understanding of cutting edge cloud technology and frameworks to enable Data Science

• System integration skills between Business Intelligence and source transactional

• Improving overall production landscape as required

• Define strategies with Data Scientists to monitor models post production

• Write unit tests and participate in code reviews

What skills you will need

Technical skills core:

• Expert in programming languages such as R, Python, Scala and Java

• Expert database knowledge in SQL and experience with MS Azure tools such as Data Factory, Synapse Analytics, Data Lake, Databricks, Azure stream analytics and PowerBI

• Modern Azure datawarehouse skills

• Expert Unix/Linux admin experience including shell script development

• Exposure to AI or model development

• Experience working on large and complex datasets

• Understanding and application of Big Data and distributed computing principles (Hadoop and MapReduce)

• ML model optimization skills in a production environment

• Production environment machine learning and AI

• DevOps/DataOps and CI/CD experience

Technical skills additional:

• AWS experience

Behavioural skills:

• A passion for programming and working with data

• Self-starter

• Willingness to learn and grow exponentially

• A restless curiosity in learning new technology

• 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 BSc Computer Science

• Honours or Master’s degree in Engineering or Software Engineering with solid experience in data mining and machine learning

• Other qualifications will also be considered if accompanied by the relevant experience

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.

go to method of application »

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.