Posted inAfrique du Sud

Data Scientist

Posted inAfrique du Sud
Data Scientist

Data Scientist

Emploi Afrique du Sud


Titre du poste : Data Scientist

Entreprise : Nedbank

Description du poste : Job ClassificationJob Requisition – 138968
Closing Date – 29 April 2025
Location – Johannesburg
Cluster – Nedbank Wealth – Division – Nedbank Insurance
Please Note: Preference will be given to applicants from Underrepresented GroupsJob FamilyInformation TechnologyCareer StreamApplication DevelopmentLeadership PipelineManage Self Expert (MSE)FAIS AffectedJob PurposeLead in designing and building next-generation analytic engines and services, applying substantial expertise in machine learning, data mining, and information retrieval to drive impactful solutions and contribute to data-driven decision-makingJob Responsibilities

  • Development of statistical models and algorithms
  • Conduct statistical analysis to gain insights from complex datasets, supporting data-driven decision-making efforts.
  • Offer insights and observations to stakeholders, identify trends and measure performance
  • Support the creation of value from data, assisting in translating data into meaningful business solutions.
  • Gain proficiency in financial services domain concepts and regulations to support the development of statistical models and AI/ML solutions tailored for financial applications.
  • Collaborate with experienced banking professionals to design and implement ML models that meet the unique requirements of financial institutions.
  • Contribute to shaping the organization’s AI/ML strategy with the support of senior team members.
  • Participate in converting data science prototypes into scalable machine learning solutions for potential deployment.
  • Support the design of ML models and systems, considering adaptability and retraining capabilities under the guidance of experienced team members.
  • Participate in the assessment of ML system performance to ensure alignment with corporate and IT strategies, collaborating with experienced colleagues.

Job Responsibilities Continue

  • Understand and use computer science fundamentals, including data structures, algorithms, computability and complexity and computer architecture.
  • Strong proficiency in programming tools (such as Python, R, etc) for data manipulation, statistical analysis, and machine learning tasks is essential.
  • Familiarity with big data frameworks, such as Apache Hadoop or Spark, and have a willingness to learn and grow their expertise in handling and analyzing large-scale datasets
  • Utilize machine learning algorithms and libraries with hands-on experience.
  • Support software engineering and design aspects of projects with mentorship from cross-functional teams.
  • Contribute to end-to-end designs with support from experienced team members.
  • Adapt communication for non-programming experts.
  • Stay informed about the latest tools and techniques, engaging in continuous learning.
  • Contribute to the evaluation of data distribution variations impacting model performance.
  • Apply foundational analytical techniques to support business value through ML and AI.
  • Familiarity with cloud computing concepts and basic experience in deploying data science solutions on cloud platforms
  • Collaborate with the team, sharing ideas and insights.
  • Assist in the development of ML roadmaps.
  • Seek learning opportunities and contribute to knowledge-sharing within the team.
  • Contribute to the achievement of the business strategy, objectives, and values as a valuable team member.

People SpecificationEssential Qualifications – NQF Level

  • Matric / Grade 12 / National Senior Certificate
  • Advanced Diplomas/National 1st Degrees

Preferred QualificationSTEM QualificationEngineering Qualification,Computer Science,Econometrics,Mathematical Statistics,Actuary ScienceMasters or Doctorate will be an added advantageEssential CertificationsPreferred CertificationsMinimum Experience Level

  • MS/PhD in STEM or related technical discipline
  • 3-7 years’ 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 Knowledge

  • Data Mining
  • Research and analytics
  • Data Tools
  • Data analysis
  • Statistical Analysis
  • data/ data structures
  • Presentation Skills
  • Problem solving skills
  • Supervised Learning
  • Unsupervised Learning
  • NLP
  • Deep Learning
  • Feature Engineering/Selection
  • HyperParameter Tuning
  • programming
  • Model Deployment/Monitoring
  • Big Data Technologies
  • Data Integration/Pipelines
  • Data Modelling
  • Data Visualisation
  • Domain Knowledge
  • AI Ethics and Fairness

Behavioural Competencies

  • Decision Making
  • Innovation
  • Technical/Professional Knowledge and Skills
  • Customer Focus
  • Applied Learning
  • Continuous Improvement

Please contact the Nedbank Recruiting Team at +27 860 555 566If you can’t find the job you’re looking for, activate job alerts to be one of the first to know when new positions open up.

Salaire attendu :

Localisation : Johannesburg, Gauteng

Date du poste : Sat, 19 Apr 2025 05:05:44 GMT

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