MATHEMATICAL AND STATISTICAL SCIENCES POSITION NUMBER: P000813 POSITION: SENIOR LECTURER IN STATISTICS PEROMNES for lecturing undergraduate and/or postgraduate statistics modules, and can also be expected to be involved the supervision of postgraduate students, and statistical consultations where one supports staff members postgraduate students with the planning, design and statistical analyses of their research projects. KEY RESPONSIBILITIES: Learning : Presenting undergraduate and postgraduate statistics modules. Development of new modules. 2. Research
BCom in Statistics or a Degree in Information Technology or similar. 2-3 years of experience as a BA. Experience
engineering, data preparation, development of statistical models, strategy development, monitoring and user Experience with bureau data beneficial Bcom or BSc Degree with an 60% and above average
engineering, data preparation, development of statistical models, strategy development, monitoring and user Experience with bureau data beneficial Bcom or BSc Degree with an 60% and above average
BA Personal as a specialist in our field of expertise with extensive experience in placing niche and profitability. Technical Skills or Knowledge Technical / Statistical skills Leadership skills Data management skills degree in Actuarial Science and/or Mathematical Statistics/ Computer Science or Strong mathematical/economics
Managing financial models Applying advanced statistical predictive modelling Guiding and delegating tasks junior staff members Requirements: BSc or MSc in Mathematics, statistics, applied mathematics, actuarial
Managing financial models Applying advanced statistical predictive modelling Guiding and delegating tasks junior staff members Requirements: BSc or MSc in Mathematics, statistics, applied mathematics, actuarial
visualization techniques and platforms. Applying statistics, machine learning, and analytical approaches such as Python Hold a relevant qualification (e.g., BSc in Computer Science, Engineering, Information Systems Systems, Actuarial Sciences, Applied Mathematics, Statistics). Candidates without a Computer Science, Engineering theoretical predictive modelling, mathematical and statistical skills. Proficient in SQL. 5 years of experience advantageous. Highly analytical with strong maths and statistics skills. Experience using business intelligence
statuary, legal and other requirements Relevant BSc, BCom, BEng (Essential/Minimum) • Minimum Experience: Analytics/Data • Science/Modelling/Statistics • Programming and statistical computer languages (R, Python management and organisational skills • Knowledge of statistical modelling and data mining techniques i.e. Regression network analysis etc. • Querying databases using statistical computer languages i.e. R, Python, SQL, • etc
required is a BEng (Metallurgy and Material Science / BSc. (Hons) Material Science is essential. A minimum Mechanical and metallurgical testing and equipment, statistics, quality principles, in depth problem solving mechanical and metallurgical testing and processes, statistics and quality control systems, testing equipment