Junior Data Scientist: BluNova x2 Job at Blue Label Telecoms – Sandton, Gauteng

About Company

BluNova is a subsidiary of Blue Label Telecoms responsible for drawing value from its large heterogeneous corpus of data originating from multiple companies within the Blue Label group. With this data, we identify opportunities in the market and develop sustainable solutions to exploit these opportunities. We leverage scalable cloud technologies to deploy our solutions, with a strong emphasis on automation. Most of our data analysis is performed in a distributed spark environment, where we have leg room to spin up large clusters exceeding thousands of cores and terabytes of RAM when needed.

Job Purpose

Responsible for discovering insights from massive amounts of structured and unstructured data to help shape or meet specific business needs and goals.


Data Gathering

Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions

Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies

Assess the effectiveness and accuracy of new data sources and data gathering techniques

Support sourcing of new data to develop data flows into the platform and enable sanitation of data

Understand the breadth of our data sets and engage in interactive data exploration and data-driven story-telling

Ensure that informative datasets are appropriately served for analytics and BI applications

Data Platform

Collaborates with data engineer to scope and build data platform to enable data modelling, exploration and mining at a large scale

Ensure that informative datasets are served in the BI layer

Data Science

Interaction with business units to understand business models and value drivers

Ongoing data exploration to identify opportunities, limitations and gaps in the acquired data

Prepare analytical datasets to visualize value drivers against various metrics

Build machine learning / predictive models on analytical datasets to uplift value drivers

Cross-validate predictive models and transparently report on the accuracy

Demonstrates the following scientist qualities: collaboration, clarity, accuracy, precision, relevance, depth, breadth, logic, significance, and fairness

Provides ongoing tracking and monitoring of the performance of decision systems

and statistical models

Continuously improves methods and algorithms

Works transparently ensure that all analysis is reproducible and uses version control appropriately for collaboration

Security and Compliance

Works with the ISO to ensure that the information used is in compliance with the regulatory and security policies in place

Qualifies where information can be stored or what information, external to the organization, may be used in support of the use case

Collaborates with the ISO to ensure that the information used follows the compliance, access management, and control policies and that it meets the qualification and assurance requirements of the Group

Data Evangelism and Innovation

Knowledge sharing

Application brainstorming

Availability as a big data subject matter expert to the Blue Label Group

Promote data-driven business approach

Participation in big data communities / open source

Stakeholder Management

Presents and depicts the rationale of their findings in easy-to-understand terms for the business

Communicates and works with business subject matter experts

Educates the organization both from IT and business perspectives on new approaches, such as testing hypotheses and statistical validation of results

Helps the organization understand the principles and the math behind the process to drive organizational buy-in and manage expectations


Follow through to ensure that personal quality and productivity standards are consistently and accurately maintained

Demonstrate consistent application of internal procedures

Plan and prioritise, demonstrating abilities to manage competing demands

Demonstrate abilities to anticipate and manage change

Demonstrate flexibility in balancing achievement of own objectives with abilities to understand and respond to organizational needs

Behavioural Competencies

Manages Complexity

Communicates Effectively

Strategic Mindset

Business Insight



Cultivates Innovation

Optimizes Work Processes

Nimble Learning


Situational Adaptability



Bachelor’s degree in Statistics, Machine Learning, Mathematics, Computer Science, Economics, or any other related quantitative field


Minimum of 2 years experience in a similar role

Python and/or R

About the Company

Company: Blue Label Telecoms –

Company Location:  Sandton, Gauteng

Estimated Salary:

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About Blue Label Telecoms -