Data Scientist

Nedbank

Johannesburg, Gauteng, ZA

1d ago

source : Latest Jobs

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

Develop best-in-class 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 end-to-end 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

Minimum Experience Level

Degree in computer science, statistics, or operations research or related technical discipline.

5-7 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

Preferred Qualification Masters Degree Computer Science, Econometrics , Mathematical Statistics , Actuary Science Preferred Certifications SAS Data Scientist certification , Microsoft Data Scientist , IBM data engineer Essential Qualifications - NQF Level

Matric / Grade 12 / National Senior Certificate

Advanced Diplomas / National 1st Degrees

Mining data

Providing value add analytics to drive business decisions

Presentation skills at executive level internally and externally

Organisational strategy formulation and Exrcution

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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