Manager Data Scientist
2 days ago
The Data Science Manager - Marketing Specialist contributes by leading a small team that is responsible for delivering marketing related objectives in collaboration with the TIH marketing team using mathematical and data related methods (e.g. machine learning, statistical analysis, optimisation, etc.).
**Job Functions** Administration,Analytics,Data Management,Information Technology **Industries** Admin, Office & Support,Financial Services,Insurance **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.
oMeasure and predict customer lifetime value
oBuild actionable consumer segmentations
oBuild models to predict the outcome (e.g. in sales) of advertising spend
oBuild optimisation models to make recommendations about advertising spend
oBuild propensity models to predict customer response
oEtc.
- 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**:
**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 sciencesSkills:
- 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
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