Senior Data Scientist needed at Nedbank Private Wealth South Africa

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Job title : Senior Data Scientist

Job Location : Other, Johannesburg

Deadline : July 14, 2024

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Job Purpose

  • Lead 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 Responsibilities

  • Spearheaded 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.
  • Stay 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 platforms
  • Collaborate 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 end
  • Seek 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 Level

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

Preferred Qualification

  • STEM Qualification
  • Engineering Qualification, 
  • Computer Science, 
  • Econometrics, 
  • Mathematical Statistics, 
  • Actuary Science
  • Masters or Doctorate will be an added advantage

Preferred Certifications

  • Cloud (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 Level

  • MS/PhD in STEM or related technical discipline
  • 7 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 Knowledge

  • Data Mining
  • Research and analytics
  • Data analysis
  • Statistical Analysis
  • data/ data structures
  • Presentation Skills
  • Problem solving skills
  • Supervised Learning
  • Big Data Technologies
  • Strategic Thinking
  • Unsupervised Learning
  • NLP
  • Deep Learning
  • Re-inforcement Learning
  • Feature Engineering/Selection
  • HyperParameter Tuning
  • programming
  • Model Deployment/Monitoring
  • Model Scaling
  • 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

Closing Date: 21 June 2024

How to Apply for this Offer

Interested and Qualified candidates should Click here to Apply Now

  • This job has expired!