Data Scientist

IQbusiness is a leading independent management consulting firm.
We are currently seeking to appoint experienced Data Scientists who are based in Cape Town, Bellville or surrounds to provide statistical analysis, forecasting, predictive modelling, simulation and optimisation to discover trends, opportunities and threats and communicate findings to business users in order to answer business questions.

**KEY OUTCOMES**:

- Provide business insights through statistical analysis, forecasting, predictive modelling, simulation and optimisation. to Identify, explore, examine, integrate and scrub data from multiple disparate data sources required to answer complex business questions.
- Design advanced analytics (quantitative) models that will answer key business questions or discover opportunities for improvement, increased revenue or reduced costs.
- Analyse model results, interpret findings and communicate these findings in commercial terms to Business Users so that the business impact is clearly understood.
- Confidently and clearly communicate analytical results to both technical and non-technical audiences.
- Recommend solutions for creating revenue and reducing costs/loss based on model results.
- Run and automate regular reporting and operationalise successful models.
- Establish effective and collaborative partnerships with BI Analysts / Data Scientists / Use Case Owners in the business
- Work closely with the Data Analyst(s) to assist in answering complex business problems that require statistical analysis.
- Regularly monitor internal and external customer needs and make appropriate recommendations.
- Remain current with retail industry and Business Intelligence and data trends that will have business strategy implications or can be used to support recommendations to continually ‘test and learn/ to generate value.
- Remain current with developments in advanced analytics and methodologies.
- Establish effective and collaborative partnerships with relevant business and IT teams, particularly the BI source systems.
- Remain current with developments in advanced analytics technology and methodologies.
- Monitor and report on the progress of IT management’s remediation of IT audit findings and IT risks.

**CORE REQUIREMENTS**
- Degree in applied statistics, mathematics, operational research, economics, data engineering, risk management (honours or masters degree preferred)
- A minimum of 5 years in advanced analytics and optimisation of which at least 1 -2 years experience must be with the building of data models
- The ability to look at a model and evaluate it
- Experience with data manipulation and analysis using SAS and SQL skills or equivalent analytical platform skills.
- Experience with Python coding (basic to intermediate skill level)
- Business acumen

As well as:

- In depth knowledge of Data Warehousing and BI environments
- Strong theoretical and practical knowledge of advanced analytical techniques, including: statistical methods, segmentation, experimental design, neural networks, data mining, optimisation techniques.
- Ability to identify which business problems will have the most value to the organisation if addressed through an advanced analytics solution.
- Ability to deal with situations where there are a lot of unknowns.

**ADDITIONAL CRITERIA**
- Experience with Big Data ecosystems and SAS and SQL skills or equivalent analytical platform skills advantageous.
- Deeply curious and a strong desire to go beneath the surface of a problem.
- Courage to question existing assumptions and business processes and the ability to drive change and influence how the organisation approaches business challenges.
- Please note: As all IQbusiness roles require honesty in the handling of or access to cash, finances, financial systems, or confidential information; our recruitment process requires that the following background checks be completed: credit, criminal, ID, and qualification verification._
- IQbusiness is committed to sustainable growth and transformation, we embrace diversity and employ previously disadvantaged individuals._