Business Enablement: Data Scientist at Nedbank

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 GIA’s 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

Closing date: 8 May 2023