Manager Data Scientist at Telesure Investment Holdings (TIH)

Specification    
Objectives / Outputs / Key Features

• Lead a team of +- 3 members
• Build an effective collaborative partnership with the TIH marketing team
• Assist the marketing team to achieve key objectives using data driven techniques e.g.
• Measure and predict customer lifetime value
• Build actionable consumer segmentations
• Build models to predict the outcome (e.g. in sales) of advertising spend
• Build optimisation models to make recommendations about advertising spend
• Build propensity models to predict customer response
• Manage the continuous optimisation cycle of these models including implementation, automation, reporting, measuring effectiveness, considering impact on behaviours, considering impact of external factors, re-designing, etc.
• Continuously monitor the performance of, and quantify the impact of, implemented models on TIH business and its customers.
• Identify new projects and work that can deliver high value / ROI
• Present and communicate models, results, etc. up to group exco level
• Maximise the value of internal data
• Investigate and deliver value through procuring external data
• Assist your Data Science team colleagues across the different areas of Data Science (Data, Analytics, Business Intelligence, Business Analysis, Campaigns) with thoughtful input on methods, logic and reasoning
• Equivalently – effectively leverage the assistance of your Data Science colleagues
• Join a culture of continuous learning
• Take responsibility for personal development in areas including (but not limited to) data, modelling, programming, marketing, insurance industry and our business

Requirements:Knowledge and Experience Requirements

Level of Education(Essential)

• Grade 12 (Standard 10) with University Entrance (NQF4)
• 3-year degree in Information Technology / Sciences / Informatics / Applied Mathematics / Statistics / Quantitative sciences / Actuarial sciences / Data Mining / Economics

Desirable:

• Master’s Degree in Information Technology / Sciences / Informatics / Applied Mathematics / Statistics / Quantitative sciences / Actuarial sciences / Data Mining / Economics

Experience:

Essential:

• 5+ years working experience within an analytical, data science or computer science environment.
• Experience in marketing – particularly in how data is used for marketing purposes e.g. within a digital and media environment

Desirable:

• Experience in the Financial Services Industry – specifically Short-Term Insurance

Knowledge of:

• Deep knowledge of Statistics
• Programming (SAS/R/SQL)
• Basic business and accounting principles
• Basic database knowledge
• Machine learning techniques
• Presentation tools (Powerpoint)

Behavioural Sciences Skills:

• Ability to apply Machine learning techniques
• Above average ability to program a computer
• Time and project management skills
• Ability to work on your own
• Ability to think creatively
• Above average ability to present and communicate complex topics in easy to understand terms
• Patience
• Exhibit a natural curiosity to figure out how things work
• R, Python, SAS, SQL, Julia, Matlab

Closing Date: 14th, March 2022