Data Scientist
5 days ago
**The opportunity**:
A challenging opportunity is available within the Credit optimisation and VAS analytics department of TFG Financial Services. We are looking for a dynamic, highly motivated individual to develop analytical solutions to business problems using state of the art techniques. The successful applicant will develop and oversee the VAS take-up strategy using descriptive and predictive analytics while working closely with the VAS business stakeholders
This will involve (but is not limited to):
- Develop, maintain, and track predictive models which are used in VAS campaigns to select the appropriate leads to maximise profit
- Assist in the development of forecasting models using various statistical modelling and machine learning techniques
- Provide analytical support to the VAS business stakeholders by translating business problem into analytical problem
- Derive business insight from analysing data and effectively present results
- Manage relationship with stakeholders and communicating effectively
- Ensure appropriate statistical methodology and data mining / analytical techniques are used in the modelling process to deliver and deploy robust and effective models
- Extract data accurately and timeously - proficient in coding in SAS or SQL and experience with working with complex database structures
- Documentation of strategy (as well as test results), adhering to agreed documentation standards
- Appropriately engage with internal and external stakeholders to improve the operating level of the portfolio
- Research and implement contemporary machine learning techniques
**To take up this challenging position you should have**:
- An honours degree in Mathematics or Statistics
- At least 3-5 years’ experience in an analytical position providing predictive and prescriptive solutions to business
- Experience in using data analysis software packages (SQL, SAS, R, Python)
- Experience with machine learning techniques such as optimisation, logistic regression, linear regression, decision trees, K-means, cluster analysis etc
- Good strategic and conceptual abilities
- Excellent data analysis, analytical and problem-solving skills
- Forecasting and reporting experience
- High attention to detail
- Excellent documentation and verbal communication skills
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