Posted on: 28 April 2023
ID 858225

Business Enablement: Data Scientist

Requisition Details & Talent Acquisition Contact

REQ 125965- Tshego Semenya

Closing date: 8 May 2023

Cluster

Group Risk- Group Internal Audit

Career Stream

Application Development

Leadership Pipeline

Manage Self Expert

Position

Business Enablement: Data Scientist

Job Purpose

To design, prototype, and build next-generation analytical applications and services by applying strong expertise in data engineering, data analysis and information retrieval within GIA in line with business strategy and internal best practice.

Job Responsibilities
  • Develop best-in-class statistical models and algorithms
  • Provide actionable insights, identify trends, and measure performance
  • Provide Business Intelligence insights to influence real-time decision making
  • Provide strategic direction in terms of data information received
  • Apply advanced analytical techniques such as machine learning and artificial intelligence 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
  • Develop models and algorithms that drive innovation within GIA and throughout the organization.
  • Provide thought leadership by researching best practices, conducting experiments, and collaborating with industry leaders.
  • Work with large data sets, simulation/optimisation and distributed computing tools (Map/Reduce, Hadoop, Hive, Spark, Gurobi, Arena, etc.).
  • 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
  • Support the achievement of the business strategy, objectives and values by reviewing GIAs Audit Plan and ensuring delivered systems, process, services and solutions are aligned.
  • 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.
  • Ensure personal growth and enable effectiveness in performance of roles and responsibilities by ensuring all learning activities are completed, experience practiced and certifications obtained and/or maintained within specified time frames.
  • Enable skilling and required corrective action to take place by sharing knowledge and industry trends with team and stakeholders during formal and informal interaction.
  • Obtain buy-in for developing new and/or enhanced processes (e.g. operational processes) that will improve the functioning of stakeholders' businesses by highlighting benefits in support of the implementation of recommendations.
  • Ensure personal growth and enable effectiveness in performance of roles and responsibilities
  • Participate and support corporate responsibility initiatives for the achievement of business strategy
  • Seek opportunities to improve business processes, models and systems though agile thinking.
Minimum Experience Level
  • Five or more years experience using relevant programming languages or technologies (Essential).
  • Deep knowledge of machine learning, statistics, optimisation or related field.
  • Experience with R, Python, Matlab is required, programming in C, C++, Java.
  • Experience working with large data sets, simulation / optimisation 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.
Essential Qualifications - NQF Level
  • Matric / Grade 12 / National Senior Certificate
  • Advanced Diplomas/National 1st Degrees
Preferred Qualification
  • Computer Science, Econometrics, Mathematical Statistics Degree in a related field
  • A recognized software development certification/degree/diploma (advantageous)
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
Disclaimer

Preference will be given to candidates from the underrepresented groups

Please contact the Nedbank Recruiting Team at +27 860 555 566

Please contact the Nedbank Recruiting Team at +27 860 555 566
Occupation:
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