Data Scientist 1

2 weeks ago


Johannesburg, Gauteng, South Africa Nedbank Full time

_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
- **_Please contact the Nedbank Recruiting Team at _
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