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Data Scientist 1
2 weeks ago
_Nedbank Recruiting_
Requisition Details and Talent Acquisition Contact
- Req: TA Consultant: Lebohang Monate
- Role: Data Scientist (Evergreen)
Job Family - Information Technology
Career Stream - Application Development
Leadership Pipeline - Manage Self Expert
Job PurposeResponsibilities**: - Develop bestinclass statistical and machine learning models
- Provide value, actionable insights, identify trends, and measure performance
- Collaborate with key stakeholders to obtain business acumen and intellectual property
- Understands business problems and designs endtoend solutions
- Ensure Quality controls of own work and those of junior scientists.
- Improve personal capability and stay abreast of developments in field of expertise by identifying training courses and career progression for self through input and feedback from managers.
- Support the achievement of the business strategy, objectives and values
- Stay abreast of developments in field of expertise
Essential Qualifications - NQF Level
- Matric / Grade 12 / National Senior Certificate
- Advanced Diplomas/National 1st Degrees
Preferred Qualification
- Masters Degree Computer Science, Econometrics, Mathematical Statistics, Actuary Science
Preferred Certifications
- SAS Data Scientist certification, Microsoft Data Scientist, IBM data engineer
Type of Exposure
- Mining data
- Providing value add analytics to drive business decisions
- Presentation skills at executive level internally and externally
- ORGANISATIONAL STRATEGY FORMULATION AND EXECUTION
Minimum Experience Level
- Degree in computer science, statistics, or operations research or related technical discipline.
- 57 years' experience in machine learning, statistics, optimization or related field.
- Experience with Python.
- Experience working with large data sets, simulation/ optimization and distributed computing tools.
Technical / Professional Knowledge
- Analysing situations or data that requires an in depth evaluation of multiple factors
- Data Mining
- Data Warehousing
- Financial modelling and analytics
- Research and analytics
- Strategy planning and execution
Behavioural Competencies
- Decision Making
- Innovation
- Technical/Professional Knowledge and Skills
- Customer Focus
- Applied Learning
- Continuous Improvement
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