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DeveloperBusiness Unit: Discovery Health
Function: Data Analysis
Date: 25 Oct 2024
About DiscoveryDiscovery's core purpose is to enhance and protect people's lives. It does this through breakthrough product designs that harness incentives to encourage people to make healthier lifestyle choices. Healthy behaviour leads to lower claims, higher margins, and lower lapses. These savings are shared with our clients which in turn leads to a healthier society, improved productivity, and a reduced healthcare burden. One of Discovery's core assets is its large and diverse data, covering health, wellness, driving, investments, and life insurance. This forms the basis for our shared value model, along with innovation, risk management and operational efficiency improvements. Discovery's energetic and motivated analytical teams make this happen.
About the Data Science LabThe Data Science Lab applies predictive analytics, machine learning, big data, and operations research skills to run and to support key projects for the Discovery Group and for the individual Discovery business units, including the health, life, and short-term insurance businesses. We work across operational, clinical, wellness, financial, customer service, sales, and behavioural science areas. We use and create state-of-the-art tools and work with terabytes of structured and unstructured data within a big data environment.
About the PositionThe key purpose of this role is to work within a Data Science team in researching, developing, and implementing Machine Learning, Natural Language Processing (NLP), and Large Language Model (LLM) systems. This includes building systems from prototype through to production, evaluating their effectiveness, and developing and maintaining data pipelines and integrations. The role requires close collaboration with data scientists, developers, system architects, and operations teams, working with significant stakeholder engagement and interest throughout the process.
Responsibilities includeWork within a specialised team of data scientists and engineers to deliver, maintain, and expand machine learning, NLP, and LLM systems.Develop and implement reusable data pipelines for structured, unstructured, text, and document data.Build reusable ML and LLM components, micro-services, and data solutions.Ensure all pipelines and components maintain compliance with privacy, security, compliance, and data quality standards.Stay updated on the latest technologies and software to ensure fit-for-purpose solutions.Collaborate with system architects, data scientists, and business stakeholders in operations and healthcare contexts.Define and implement strategies for post-production model monitoring in collaboration with data scientists.Document code, perform peer reviews, and provide progress updates.Coach others in the team to teach and improve coding best practices.Personal Attributes and Technical SkillsExpert in Python and SQLExperience with containerization (Docker, Kubernetes)Experience building and hosting microservicesExperience designing table structures and schemasExperience working with diverse teams to understand data sources and build integrationsDevOps/DataOps and CI/CD skillsSkills in Java, Scala, or R (advantageous)Experience working with unstructured text and document data (HTML, PDF etc.) and related pipelines to store and query this data (advantageous)Experience with Azure or GCP (advantageous)Excellent planning, organizational, scoping, and time management skillsStrong analytical, critical, conceptual thinking, and problem-solving skillsExcellent oral and written communication skillsSelf-motivated and proactive, with a strong ability to identify and tackle challenges independently, demonstrating a keen entrepreneurial spirit.Education and ExperienceDegree in Computer Science, Engineering, Software Engineering, or similar, or equivalent experience.3-10 years' work experience as a Developer or Engineer.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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