Mount Edgecombe: Junior Data Scientist posted by Procera Holdings Proprietary Limited

Job Overview: We are seeking an enthusiastic Junior Data Scientist to assist in the research, development and implementation of algorithmic solutions, with a focus on call-center operations in a regulated financial market. As a Junior Data Scientist, you’ll perform data analysis, model development and implementation, assist with practical MLOps and LLMOps pipelines, and contribute to the high-level AI and automation roadmap. Youll work closely with stakeholders across various departments to translate business challenges into well-defined problems and deliver impactful algorithmic-based solutions. Key Responsibilities: Data Science & Modelling: Perform meaningful and accurate data analysis on structured data using appropriate statistical theory Draft Product Requirement Specifications for model development Specify, design and implement data pipelines Work with structured data to develop predictive and prescriptive models Understand the importance and correct usage of evaluation metrics like accuracy, precision, recall, F1-score, RMSE, etc. Implement monitoring and feedback loops for continuous improvement and delivery Stakeholder Collaboration: Collaborate with stakeholders to understand business objectives and challenges, ensuring alignment of data-driven strategies with organizational goals Use data insights to propose changes to strategies and processes to optimize contact center operations and achieve business goals Continuously collaborate with stakeholders to ensure strategy adjustments are effectively addressing business needs and achieving desired results Continuous Professional Development: Be self-motivated to stay updated on emerging algorithms and trends in the industry Investigate and recommend the application of new algorithmic approaches to drive quick and meaningful innovation within the context of our AI roadmap Preferred Qualifications: Engineering Degree preferred (BSc. (Hons) Mechanical, Electrical, Computer, etc.) Physics, Computer Science and/or Mathematics background is also desirable Applicants with relevant experience will be considered Key skills : Strong analytical and problem-solving skills Strong mathematical proficiency Strong proficiency in Python Excellent understanding of core mathematical and statistical concepts Ability to read published technical reports and infer implications in context Ability to produce high quality technical reports (LaTeX beneficial but not necessary) Basic SQL proficiency and understanding of relational databases First principles understanding of NLP algorithms beneficial Understanding of applied MLOps and LLMOps beneficial Excellent communication skills verbal and written Key Attributes : Proactive and innovative thinker Detail-oriented with ability to manage time and task prioritization across multiple different projects Passionate about AI adoption to drive meaningful business changes Eager to explore and implement state-of-the-art innovations in the industry Results-driven with a focus on continuous improvement Collaborative and adaptable to dynamic team environments