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Ai Data Scientist

3 months ago

Sandton, South Africa Discovery Ltd. Full time

**Business Unit**:Discovery Insure**Function**:Business Intelligence**Date**:28 May 2024- Discovery - Insure**AI 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 Discovery Insure**
- Discovery Insure is committed to creating a nation of great drivers. Our commitment is backed up by our innovation and a driving program that really works. At Discovery Insure, we offer comprehensive car and home insurance with no excess on theft, hail, hijacking and malicious damage. With our driver behavior program, Vitalitydrive, clients get great rewards and benefits for driving well. Discovery Insure is an environment of individuals who are committed to dazzling clients, innovation and great people.**Key Purpose**
- A highly skilled Data Scientist will provide the technical expertise to integrate and leverage natural language processing (NLP) and advanced large language models (LLMs) to enhance AI frameworks. These innovative capabilities will enable unstructured autonomous decision-making processes, increase operational efficiency, and deliver personalized customer experiences.**Key purpose may include but are not limited to**:

- **Project Delivery**: By collaborating with contents specialists, data engineers and system architects, drive the deployment of solutions and delivery of projects from inception through to business adoption.
- **Model Development and Integration**: Deploy robust and scalable LLMs that are integrated into AI frameworks, enhancing natural language processing capabilities.
- **Advanced Data Retrieval Integration**: Incorporate techniques like Retrieval-Augmented Generation (RAG), vector databases, and semantic searches to improve precision and relevance in data extraction from large datasets.
- **Automation Workflows**: Design and implement automation workflows that improve speed and accuracy of processes, reducing manual intervention and operational costs.
- **Performance Metrics and System Maintenance**:Develop performance metrics to consistently evaluate the efficiency and accuracy of AI models. Actively monitor and maintain these systems to ensure they remain effective and adaptable.
- **Regulatory Compliance**: Ensure that all AI models and data handling practices comply with relevant laws and ethical guidelines, preparing documentation and reports as required for regulatory bodies.
- **Experimentation**: Prototype ML systems and AI concepts, particularly those using NLP and LLMs, and evaluate the effects of different models and techniques on AI performance.
- **Future Trends and Industry Insights**:Continuously monitor advancements in AI and LLM technologies and review relevant academic literature and industry releases to ensure our strategies and implementations align with the latest innovations and standards.

**Skills**
- SQL and working with databases.
- Python for data science and machine learning
- Familiarity with Azure services.
- Demonstrated ability to implement ML workflows at scale, particularly using LLMs

**Education and Experience**

**Education**:

- Matric
- Bachelor's degree in Computer Science, Mathematics, Statistics, Data Science, Actuarial Science, Statistics, Operations Research, Industrial engineering, Applied Mathematics, or similar quantitative field.

**Minimum Experience**:

- 3 years proven experience in a data science environment.
- Demonstrated ability to implement ML workflows at scale, particularly using LLMs
- Proven track record in handling, analyzing, and extracting insights from large and complex datasets, particularly unstructured text data.
- Previous experience tuning open source and proprietary large language models
- 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.