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Gauteng: Data Scientist posted by Network Finance

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Job Description

About the Role

Network Finance is seeking a highly skilled Data Scientist to extract, analyse, and transform large datasets into actionable business insights. In this role, you will work with multiple data sources, apply advanced statistical methodologies, build predictive models, and use modern data technologies to drive strategic decision-making. You will also contribute to database structuring, engage with internal and external stakeholders, and communicate insights across both technical and non-technical audiences.

Key Responsibilities

  • Work with multiple data sources
  • Apply advanced statistical methodologies
  • Build predictive models
  • Use modern data technologies
  • Contribute to database structuring
  • Engage with internal and external stakeholders
  • Communicate insights across technical and non-technical audiences

Requirements

  • Fluency in Python, SQL, and R (core requirement)
  • 4 years of experience in data science, data warehousing, or modelling environments
  • Strong understanding of software languages and infrastructure
  • Experience working with, analysing, and modelling large datasets
  • Insurance industry exposure and actuarial understanding are highly advantageous
  • Beneficial programming knowledge: C#.Net, C, C++, Visual Basic

Qualifications

  • Bachelor’s degree in Computer Science, Mathematics, Statistics, Engineering, Actuarial Science, or related field

How to Apply

Click the green “Go Apply” button below to apply directly online with the employer.

About Datacapturing Jobs in Gauteng

In Gauteng, South Africa, the demand for data capturing professionals is generally consistent across various industries, driven by the increasing reliance on technology and digital transformation. This field encompasses a range of roles, from data entry clerks to more senior positions like data analysts or managers. As a result, career prospects in this area are often stable, with opportunities for advancement and professional growth.

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Typically, salaries for data capturing professionals in Gauteng fall within the broad range of R400 000 to R800 000 per annum, depending on factors such as level of experience, company size, and industry sector. It’s essential to note that these figures are general estimates and may vary significantly, with senior roles or those in larger companies often commanding higher salaries. Experience, skills, and qualifications also play a crucial role in determining actual salary ranges.

Common skills required for data capturing roles include proficiency in Microsoft Office Suite, particularly Excel, as well as experience with data capture software and tools. Additionally, strong attention to detail, analytical skills, and the ability to work accurately under pressure are often essential. Other valuable skills include communication and interpersonal abilities, as well as an understanding of basic data analysis concepts.

Data capturing roles can be found in various industries, including financial services sector, technology industry, manufacturing sector, and more. These sectors often require data capturing professionals to support operations, manage databases, or perform data analysis tasks.

For those interested in pursuing a career in data capturing, there are several opportunities for professional development. Many companies offer training programs or internal promotions to help employees develop new skills and advance their careers. Additionally, certifications like Microsoft Certified: Data Analyst can be beneficial in enhancing employability. Generally, experienced professionals can move into more senior roles or transition into related fields like business analysis or project management.

In summary, a career in data capturing in Gauteng offers stable opportunities for professional growth, with various industries to choose from. While salaries may vary, common skills and industry sectors provide a general understanding of the field’s requirements and prospects. By developing relevant skills and staying adaptable, individuals can build successful careers in this area.

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This information provides general career guidance. Actual salaries and requirements vary by employer.



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