Vacancy Details
Employer: Juru Holdings
We are seeking a highly skilled Data Scientist to join our client's forensic technology team. In this role, you will take a leading role in the development of forensic solutions and contribute to the effective management of fraud risk.
Key Result Areas:
- Data Science – thought leadership: Design and develop models in collaboration with the forensic team to understand fraud risks faced by the business. Develop models and solutions that directly address the fraud risk using data-driven models and AI libraries, including facial recognition and natural language processing.
- Turn models into solutions: Package and integrate the developed solutions into existing business processes. Provide technical leadership to the development team.
- Influence the adoption of AI in support of fraud management: Advocate for the use of AI solutions in fraud management and provide research insights and strategic input.
- Solutions development and maintenance: Develop, support, and manage Forensic and AML solutions. Maintain optimized processes by automating, sequencing, and controlling aspects.
- Maintenance and optimization of data-pipelines: Assist in maintaining and optimizing the data-pipelines of the team's warehouse in AWS.
- Manage relationships with business, infrastructure, and application support teams: Develop relationships with likeminded technical teams internally and externally.
- Help manage fraud risk: Maintain focus on managing fraud risk primarily. Get upskilled in relevant fraud risk aspects.
- Provide ad hoc administrative, data analysis, project management, and/or development support.
Required Skills
- Sql: 4 to 5 years
- AWS Technologues: 4 to 5 years
- Data / Systems Integration: 4 to 5 years
Candidate Requirements
- Degree or diploma in Information Technology, Information Systems, Mathematics, Computer Science, or related disciplines.
- Proven knowledge and understanding of Enterprise IT environments.
- Experience with Machine Learning / Deep Learning.
- Experience in developing and packaging software solutions.
- Knowledge and experience working with AWS / AMS.
- Knowledge and experience in any / all of the following would be an advantage: Data / Systems integration (e.g., using APIs) experience, comfortable in working with native AWS technologies, full Data Stack implementation using AWS, SQL, CloudFormation, GitHub, experience using Alteryx, RStudio or Jupyter notebooks, experience with ML frameworks and tools (e.g., pandas, numpy, scikit-learn, TensorFlow, Pytorch, Spark MLlib), experience using graph databases, Microsoft SQL warehouse experience, programming experience in C#, VB.NET, exposure to software containers, machine learning application (e.g., facial recognition technology), and Agile development methodology.
- Skills: Microsoft SQL Server, Python (Programming Language), SQL Server Integration Services (SSIS).
- Education: Bachelor's Degree (B) in Information Technology (Required), National Diploma (Nat Dip) in Information Technology (Required).
6 people have applied for this job. 210 people have viewed this job.
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