Senior Data Scientist
Senior Data Scientist
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Salary Not Disclosed
1 Vacancy
Job Description
Senior Data Scientist
Minimum Requirements:
- Matric (Grade 12)
- Advanced Diplomas/National 1st Degrees
Responsibilities:
- Spearheaded bestinclass statistical models and algorithms building upon previous experiences and learnings.
- Conduct indepth statistical analysis to extract valuable insights and patterns from complex datasets contributing to datadriven decision making.
- Offer actionable insights and advice to stakeholders utilizing a solid foundation in AI/ML and contributing to the teams expertise.
- Contribute to the creation of value from enterprisewide 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 cuttingedge 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 organizations 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 expertlevel 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 crossfunctional teams.
- Utilize machine learning algorithms and libraries effectively following established best practices and guidelines.
- Communicate technical concepts effectively to diverse audiences adapting explanations for nonprogramming experts.
Employment Type
Full Time
