Data Scientist

1 week ago

Johannesburg Metropolitan Area, South Africa Samaha Consulting Full time

Responsibilities:

  • The Data Scientist is responsible for driving the analytical, statistical, and programming interpretation of data to support decision making and drive business results.
  • The Data Scientist supports product, teams with insights gained from analysing company & customer data to provide business predictions, proposals, and recommendations to improve business outcomes.
  • Drive measurable business outcomes by turning data into automated decisions by building active tools triggering an automated action.
  • To lead and provide expertise on Big data and AI initiatives, analysing business requirements and designing appropriate models and ensuring application architecture alignment.
  • Translate business strategy into AI use cases that drive measurable value (e.g., revenue growth, efficiency gains, risk reduction).
  • Utilize advanced algorithms and analytics to manage large transactional wallet datasets, optimizing profitability through precise risk assessment & strategic decision-making
  • Develop and deploy advanced models and algorithms, ensuring robust and accurate risk assessment to support effective management strategies
  • Integrate AI seamlessly with existing data, BI, and operational platforms.

Education:

· Minimum of 4-year tertiary degree in Computer Science, Mathematics, Statistics, Data Science or related field

· Master's Degree in a Data Science, AI/ML, Statistical or related field (preferred)

· MBA or Masters (advantageous)

Experience:

· 5 or more years of relevant work experience as a Data Engineer/ Data Scientist

· 4–6+ years applied data science; 2+ years owning production AI/ML.

· At least 3 years' experience within a non-traditional FinTech, Banking or Financial Services Sector

· Experience in Data Science and Data Analysis with a specific focus on AI/ ML models within banking, finance and/or telecommunications industry

· Proven delivery of automated decisioning (recommendation/propensity/fraud/forecasting) with quantified business impact.

· Experience in Data Engineering within banking or financial services industry

· Understanding of enterprise-scale systems and technologies used in data infrastructures

· Experience of working in an Agile/DevOps environment

· GitHub or GitLab experience for CI/CD

· Proficient in working with open-source languages such as Python, Jupyter Notebook, R / Spark - Scala and others to drive optimized data engineering and machine learning best practise frameworks

· Working knowledge in Hadoop, Apache Spark and related Big Data technologies and their applications in data engineering and MLOps pipelines

· AI/ Machine learning for predictive modelling and other relevant use cases

· Understanding of FinTech, banking, microfinance and payment businesses

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