Senior Data Scientist
Benoni, 1501, South Africa
Listed on 2026-10-30
-
IT/Tech
Data Scientist, Machine Learning/ ML Engineer, Data Analyst
Location: Benoni
About the Role
Our client, a leading fintech innovator, is seeking a highly skilled Senior Data Scientist to join their advanced analytics team. This fully remote position offers the exciting opportunity to leverage vast datasets to drive strategic decisions and develop cutting-edge financial products. You will be at the forefront of applying machine learning, statistical modeling, and AI techniques to solve complex problems within the
** Banking & Finance
** domain. We are looking for a creative problem-solver with a passion for data and a proven ability to translate complex findings into business impact. This role is ideal for an experienced professional seeking to make a significant contribution in a forward-thinking organization.
- Design, develop, and implement advanced statistical models and machine learning algorithms.
- Analyze large, complex datasets to identify trends, patterns, and insights relevant to financial services.
- Develop predictive models for areas such as fraud detection, customer segmentation, risk assessment, and credit scoring.
- Collaborate with product managers, engineers, and business stakeholders to define data-driven solutions.
- Communicate complex analytical findings and recommendations to both technical and non-technical audiences.
- Develop and maintain data pipelines and ensure data quality and integrity.
- Stay current with the latest advancements in data science, machine learning, and AI.
- Mentor junior data scientists and contribute to the team's knowledge sharing.
- Experiment with new data sources and analytical techniques.
- Master's or Ph.D. in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field.
- Minimum of 5-7 years of hands-on experience in data science, machine learning, and statistical modeling.
- Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., scikit-learn, Tensor Flow, PyTorch).
- Strong experience with SQL and working with large databases.
- Expertise in machine learning algorithms (supervised and unsupervised), statistical analysis, and data mining techniques.
- Experience in the
** Banking & Finance
** sector is highly desirable. - Excellent problem-solving, critical thinking, and analytical skills.
- Strong communication and presentation skills, with the ability to explain technical concepts to a business audience.
- Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
- Must be eligible to work remotely from
** Benoni, Gauteng, ZA**, or other approved locations within South Africa.
Our client offers a competitive salary, performance-based bonuses, and a comprehensive benefits package. Enjoy the flexibility of a fully remote work environment. Opportunities for professional growth, cutting-edge training, and attending industry conferences are provided. Be part of an innovative team shaping the future of finance in
** Gauteng, ZA**.
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