Specialist: Data Science (OS)

Structural Information

Job number:                     10031373

Job title:                             Specialist: Data Science (OS)

Job grade:                         S5

BU:                                      Openserve

Division:                             Openserve

Span of control:               0-5

Reports to:                        Senior Management

Core Description

Responsible for leading the data science and analytics function by conceptualising, extracting, analysing, and interpreting data to create predictive and machine learning models across Openserve and its customers. Provide subject matter expertise on the discipline of machine learning and predictive analytics to benefit decision making and business outcomes for Openserve.

Job Responsibilities

• Develop predictive analytical models that advise business with regards to trends, patterns and relationships in data to drive Openserve outputs.
• Develop integration between data, insights, and foresight to realise value of data as an asset.
• Analyse trends from operational data analytics, operational dashboards, and market trends to provide insights to the Openserve business.
• Apply best practices in business intelligence data modelling for advanced analytics and machine learning to benefit Openserve’s business and IT outcomes.
• Provide data analytics that deliver foresight using machine learning and data science across Openserve business units.
• Engage with a wide range of technical stakeholders including analysts, data engineers, database administrators and solutions architects to achieve insights and foresights.
• Working with other data engineers and data modelers to implement, and manage data vaults, data transformations and data pipelines.
• Contribute to a data driven culture within Openserve to ensure that business and IT decisions are enhanced to provide business value.
• Actively participate in ongoing cross skilling and knowledge sharing within wider teams to foster data driven thinking.
• Build and deploy AI and ML platforms to enable the business intelligence team to perform predictive analytics and machine learning.

Core Competencies

FUNCTIONAL KNOWLEDGE: Statistical foundations; Mathematical foundations; Data Analytics frameworks; Telkom Processes & Policies; Programming; R&D ability; Machine learning (preferable); Big Data (preferable); Business information management systems; Database Management; Reporting; Hardware; Software; Statistical Analysis

FUNCTIONAL SKILLS: System Thinking; Networking; Conceptual Ability; Communicating (Verbal & Written); Planning, Organising & Executing; Analytical; Problem solving, Analysis and Synthesis from multiple datasets; Report Writing. Problem Solving; Analytical; Scripting and programming. Problem Solving; Coding capability (specifically Python, R, Git, Linux); Cloud computing (GCP preferable); Machine learning; Research & development ability; Communication (written and verbal); Stakeholder management

COMPETENCIES (BEHAVIOUR)

Thought Leadership: Developing strategies/ Providing insights; Generating ideas; Exploring possibilities; Examining information; Adopting practical approaches; Problem solver; Innovative thinker; Out the box thinking. Market Leadership: Developing expertise; Challenging ideas; Interacting with people; Managing tasks Business Leadership: Pursuing goals; Upholding standards; Managing tasks; Seizing opportunities People Leadership: Making decisions; Empowering individuals; Challenging ideas; Interacting with people; Personal Leadership: Embracing change; Thinking positively; Showing composure; Understanding people; Valuing individuals; Team working Values Aligned with Openserve Values.

Certifications

Education

• NQF 6: 3 year Diploma/ National Diploma

Experience

• 5 Years relevant experience

Additional Information

Certification, Qualifications and Experiene:

• Optional ITIL and TOGAF.
• Qualification preferably in Computer Science, Mathematics, Statistics, Engineering, Actuarial Science
• A relevant post graduate degree will be an added advantage.
• Experience in an analytical environment.
• Experience in ICT will be an advantage.

Special Requirements

Physical Requirements

Key Stakeholders

Internal:

• HR
• Finance
• IT
• Business Volume and Value
• Marketing
• Networks and Wholesale
• Legal Services
• Consumers
• Suppliers
• Industry and regulatory bodies
• 3rd Party Dealers
• Revenue Assurance
• Risk Management
• Line management
• IT

External:

• Vendors
• Customers