About the Role
Our client, a pioneering firm in the Banking & Finance technology space, is seeking an exceptional Lead Data Scientist to spearhead their advanced analytics initiatives. This is a prestigious Remote opportunity for individuals based anywhere in South Africa. You will lead a team of data scientists in developing and deploying sophisticated machine learning models to drive business insights, optimize financial products, and enhance customer experiences. The role requires a visionary leader with deep expertise in data science, machine learning, statistical modeling, and a strong understanding of the Banking & Finance sector. You will be instrumental in shaping the data strategy and fostering a data-driven culture, working remotely to support the broader company objectives, potentially including Gauteng-based projects.
Key Responsibilities
- Lead a team of data scientists, providing technical guidance, mentorship, and project oversight.
- Develop and implement advanced machine learning models for areas such as fraud detection, customer segmentation, credit scoring, and predictive analytics.
- Design and execute A/B tests and other experiments to evaluate model performance and business impact.
- Clean, transform, and analyze large, complex datasets from various sources.
- Identify new opportunities for leveraging data science to solve business challenges.
- Collaborate with product managers, engineers, and business stakeholders to integrate data science solutions into production.
- Stay current with the latest advancements in data science, machine learning, and AI.
- Communicate complex findings and recommendations to both technical and non-technical audiences.
- Ensure best practices in data governance, ethics, and privacy are followed.
Requirements
- Ph.D. or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
- Minimum of 7 years of hands-on experience in data science, with at least 3 years in a leadership or senior role.
- Proven track record of successfully developing and deploying machine learning models in a production environment.
- Expertise in programming languages such as Python or R, and proficiency with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
- Strong experience with SQL and big data technologies (e.g., Spark, Hadoop).
- Deep understanding of statistical modeling, machine learning algorithms, and data mining techniques.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication, presentation, and interpersonal skills.
- Experience in the Banking & Finance sector is highly desirable.
- Must be eligible to work fully Remote from South Africa.
Benefits
- Highly competitive salary and significant bonus potential.
- Comprehensive health, dental, and vision insurance.
- Generous retirement savings plan.
- Exceptional opportunities for professional growth and career advancement in a cutting-edge field.
- Flexible and autonomous Remote work environment.
- Work on challenging and impactful projects with a leading global firm.
- Be at the forefront of innovation in financial technology.