Job summary

Location:
Cape Town, South Africa, Africa
Career Level:
Mid Career (2+ years of experience)
Education:
Diploma
Job type:
Full time
Positions:
1
Salary:
Negotiable

Data Scientist (Cape Town)(REF: 117)

About this job

Overview: As part of the Profit Optimisation and Analytics team you will use statistical analysis, predictive modelling and machine learning within analytical strategy design to solve real-world problems; monitor and evaluate implemented strategies and models; communicate findings and make recommendations to stakeholders across the business.

Qualifications, Experience and Skills

Degree within a quantitative discipline (i.e. Statistics, mathematics, actuarial sciences)

4yrs Experience analysing and interpreting quantitative and qualitative data
4yrs Experience in building predictive models (classification and regression) essential, machine-learning approaches, clustering and classification techniques, and recommendation and optimization algorithms.
2yrs Experience in a similar environment within Financial Services environment 
4yrs Experience in a variety of predictive modelling scenarios advantageous (acquisition modelling, churn modelling, cross-sell and up-sell models, next best action systems, uplift modelling, segmentation etc.)
3yrs Experience in analytical software i.e. SAS, R, Python
2yrs Knowledge of SQL and relational databases advantageous.
Ability to work with unstructured data.
2yrs Data wrangling/data manipulation
Analytical strategy design advantageous. Deriving value from the models, making models actionable and investigating impact of moving from one model (or set of models) to another.
3yrs Experience in practical implementation of theoretical models.
2yrs Experience with big data platforms advantageous – Hadoop, Hive, Pig, Amazon S3

 

 



Duties

Job Function

Data Manipulation and Creation 
Conceptualise, design/source (and where appropriate, evaluate) and implement relevant infrastructure to deliver strategic data intelligence for market research 
Continuous performance monitoring and improvement of data infrastructure (including evolving data warehousing needs), systems and processes etc. in accordance with business
Preparation of data for modelling – transforming real-world data into formats usable in statistical software tools, through SQL or other data manipulation software

Build predictive models
Build data driven models to abstract customer behaviour using a variety of predictive modelling techniques.

Model implementation
Work with technical resources to support implementation of theoretical models into real-world business application
Manage output from predictive models

Analytical Strategy Design
Derive, abstract and quantify business constraints
Utilise predictive assets/models to facilitate optimal decisions on a customer and macro level across customers’ lifecycle

Model maintenance, reporting and analysis
Track performance of models and monitor for deterioration
Report back on model performance and recommend appropriate courses of action to counter deterioration
Conduct root-cause analysis where predictions diverge from actuals

Business Engagement 
Act as the business owner for outputs generated from predictive models
Build and maintain effective working relationships with internal (BI, Data, Marketing and Credit Risk) and external stakeholders to provide the business with relevant and useful analytics by providing expert knowledge and engaging around data intelligence. 
Deliver value-adding, informed, strategic recommendations and insights through effective collaboration with stakeholders, applying best practice statistical and data intelligence techniques 
Proactively investigate opportunities for business growth and improvement, based on informed data intelligence 
Evaluate marketing strategies against data intelligence and defined business objectives 
Influence stakeholders to obtain buy-in for concepts and ideas, and working with a group to brainstorm ways of improving a product or situation and to identify alternative solutions to a problem .

Ad hoc analysis
Work on ad hoc descriptive and predictive analytical projects

 

 


Job keywords/tags:  Degree within a quantitative discipline
Developed by Figo Mago at www.tandolin.co.za
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