Requisition Number and Talent Acquisition ContactREQ: 134433
Closing Date: 2 September 2024
Job FamilyInformation Technology
Application Development
Manage Self Expert
Job PurposeLead the design, development, and implementation of cutting-edge analytic engines and services, leveraging extensive experience and expertise in machine learning, data mining, and information retrieval to pioneer innovations.
Job ResponsibilitiesSpearheaded best-in-class statistical models and algorithms, building upon previous experiences and learnings.Conduct in-depth statistical analysis to extract valuable insights and patterns from complex datasets, contributing to data-driven decision-making.Offer actionable insights and advice to stakeholders, utilizing a solid foundation in AI/ML and contributing to the team's expertise.Contribute to the creation of value from enterprise-wide data, assisting in the translation of data into meaningful business solutions.Apply specific financial services domain knowledge to analyse datasets and develop statistical models and algorithms that cater to individual financial services use cases.Design and implement ML models with experienced banking professionals that meet the unique requirements of financial institutions.Implementation of cutting-edge AI and ML solutions, playing an active role in system operations and maintenance.Experienced in deploying or contributed to deployment of at least one end to end data science solutions that has yielded significant value in the organisation at an enterprise level.Contribute to the shaping of the organization's AI/ML strategy, aligning it with evolving business needs.Assist in transforming data science prototypes into scalable machine learning solutions for deployment.Collaborate with experienced team members to design dynamic ML models and systems, incorporating the capability for adaptability and retraining.Participate in periodic evaluations of ML systems, ensuring they align with corporate and IT strategies.Expert proficiency in programming tools (such as Python, R, etc) for data manipulation, statistical analysis, and machine learning tasks is essential.Demonstrate a profound command over computer science fundamentals, encompassing expert-level knowledge of data structures, algorithms, computability and complexity, and computer architecture.Demonstrate a strong understanding of applications and machine learning algorithms, aligned to best practices globally.Spearheading and guiding the software engineering and design facets of projects, while providing mentorship and fostering collaboration among cross-functional teams.Utilize machine learning algorithms and libraries effectively, following established best practices and guidelines.Communicate technical concepts effectively to diverse audiences, adapting explanations for non-programming experts.
Job Responsibilities ContinueStay informed about the latest tools and techniques, engaging in continuous learning to enhance skills and knowledge.Able to the evaluate data distribution variations impacting model performance.Proficiency in cloud computing and hands-on experience with deploying complex data science projects on cloud platformsCollaborate with the team, sharing ideas and insights while conducting experiments and researching best practices.Leading role in formulating and refining the Machine Learning (ML) roadmaps or a component thereof, drawing upon extensive experience and visionary insights.Has a deep understanding of business problems and can design complete analytics solutions end to endSeek opportunities for personal growth and development, actively participating in knowledge-sharing and mentorship.Contribute to the achievement of the business strategy, objectives, and values, contributing to the organization's success.Participate in establishing a positive team culture and contribute to corporate responsibility initiatives.Contribute to the establishment of the Nedbank culture and participate in corporate responsibility initiatives to align with business strategy.
Essential Qualifications - NQF LevelMatric / Grade 12 / National Senior CertificateAdvanced Diplomas/National 1st DegreesPreferred QualificationSTEM Qualification
Engineering Qualification,
Computer Science,
Econometrics,
Mathematical Statistics,
Actuary Science
Masters or Doctorate will be an added advantage
Preferred CertificationsCloud (Azure, AWS), DEVOPS or Data engineering certification. Any Data Science certification will be an added advantage, Coursera, Udemy, SAS Data Scientist certification, Microsoft Data Scientist.
Minimum Experience LevelMS/PhD in STEM or related technical discipline7 years' plus experience in a statistical and/or data science role.Deep knowledge of machine learning, statistics, optimization or related field.Experience with R, Python, Matlab is required, programming in C, C++, Java.Experience working with large data sets, simulation/ optimization 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.Attitude to thrive in a fun, fast-paced start-up like environment Technical / Professional KnowledgeData MiningResearch and analyticsData analysisStatistical Analysisdata/ data structuresPresentation SkillsSupervised LearningStrategic ThinkingUnsupervised LearningNLPHyperParameter TuningprogrammingDomain KnowledgeAI Ethics and Fairness---------------------------------------------------------------------------------------
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