Data Scientist at Nedbank

To design, prototype,build next-generation analytic and services by applying strong expertise in machine learning , data mining and information retrieval 

Your role:

• Develop best-in-class statistical models and algorithms 
• Conducts advanced statistical analysis
• Provide actionable insights, identify trends, and measure performance
• Create value out of enterprise wide data 
• Provide insights to BI and BA to further exploit and present their models 
• Provide strategic direction to data information received 
• Apply advanced analytical techniques such as machine learning and artificial intelligence in order to derive   business value 
• Conduct data discovery for inclusion in models 
• Collaborate with key stakeholders to obtain business acumen and intellectual property 
• Keep abreast with latest tools and techniques 
• Understands business problems and designs end-to-end analytics use cases
• Collaborates with model developers to implement and deploy scalable solutions
• Develop complex models and algorithms that drive innovation throughout the organization. 
• Provide thought leadership by researching best practices, conducting experiments, and collaborating with industry leaders 
• Work with large data sets, simulation/ optimization and distributed computing tools 
• Ensure understanding of pros and cons of different analytics approaches for problem type
• Implements more advanced algorithms, e.g., complex descriptive
• Ensure Quality controls of own work and those of junior scientists
• Understand current state of analytics more broadly and apply techniques from across industries
• Map problems and quantify the impact of proposed measures 
• Develop and prioritise use case roadmaps 
• Understand and implement end to end data science life cycle
• Oversee the implementation of operationalised machine learning and advanced algorithms 
• Monitor and continuously improved deployed models
• Implement design of experiments and hypothesis testing 
• Design implementable solutions 
• Design data visualisation for best fit communication to business 
• Source data from discrepant systems and clean the data 
• Architect analytical systems    

Qualifications Required

• BSC Computer Science, Econometrics , Mathematical Statistics , Actuary Science  
• MS/PhD in computer science, statistics, or operations research or related technical discipline

Experience Required

• 5-7 years’ experience in a statistical and/or data science role
• Deep knowledge of machine learning, statistics, optimization or related field
• Experience with R, Python, Matlab is required, programming in C, C++, Java
• Experience working with large data sets, simulation/ optimization and distributed computing tools (Map/Reduce, Hadoop, Hive, Spark, Gurobi, Arena, etc.)
• Excellent written and verbal communication skills along with strong desire to work in cross functional teams
• Attitude to thrive in a fun, fast-paced start-up like environment