Data Scientist (Intermediate) at Discovery Limited

Sandton, Gauteng, South Africa -

Full Time

Start Date

Immediate

Expiry Date

16 Jan, 26

Salary

0.0

Posted On

18 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Predictive Modelling, Machine Learning, Data Manipulation, SQL, Big Data, Statistical Knowledge, Data Exploration, Collaboration, Problem Solving, Communication, Version Control, Attention to Detail, Curiosity, Teamwork, Self-Starter

Industry

Insurance

Description

Discovery Health Intermediate Data Scientist About Discovery Discovery’s core purpose is to make people healthier and to enhance and protect their lives. We seek out and invest in exceptional individuals who understand and support our core purpose, and whose own values align with those of Discovery. Our fast-paced and dynamic environment enables smart, self-driven people to be their best. As global thought leaders, Discovery is passionate about innovating in order to not only achieve financial success, but to ignite positive and meaningful change within our society. About (Health Intelligence – Operations Intelligence) The position available is in the Discovery Health Operations Intelligence unit. We apply predictive analytics, big data and analytic skills to provide unique data-driven answers to exciting problems in servicing, operations and other areas of the business. The team has access to structured and unstructured data and makes use of the latest international innovative big data architecture. 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 Collaborate with product owners, project managers, and executive stakeholders to identify and prioritize business problems that can be solved with LLMs. Conduct desktop research into the state-of-the-art in LLMs and Generative AI and apply findings to real-world applications (either requested by business or suggested by yourself). 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 adapt to emerging technologies and tools Proficiency in version control systems such as Git for collaborative coding and maintaining code integrity 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 Computer Science with solid experience in statistical modelling, data mining and machine learning, OR 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 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 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.

Responsibilities

The role involves creating opportunities that enhance customer satisfaction by leveraging clinical, demographic, and operational data. The successful applicant will work on optimizing client services through predictive analytics and machine learning techniques.