Vodafone

Principal Data Scientist

Job description

Role Purpose

We employ individuals who are as passionate about customers as we are. We are truly Customer Obsessed, which means that we are passionate about exceeding customer expectations; work relentlessly to really understand the customer; look at decisions through the customer’s eyes and take personal accountability for the customer experience. We are looking for people with a passion for Machine Learning and Big Data.

Your responsibilities will include:

Create Machine Learning and AI products that provide actionable business insight to Vodafone and its stakeholders.
Developing predictive models with large and varied datasets, working with a community of colleagues across Advanced Analytics, technology, and data and customer functions
Contributing to the wider community to enable Machine Learning and AI capability across Vodafone globally.
Development of machine learning models for various areas of the business on the Big Data Platform
Development of prototype code in e.g. PySpark for automated training and scoring of the machine learning models
Machine Learning Model performance tracking and reporting using e.g. Qlik
Uses data visualisation to engage audience in a compelling way, enabling effective storytelling

The ideal candidate for this role will have:

Bachelor’s or Master’s Degree in quantitative fields like Mathematics, Statistics, Economics, Computer Science Engineering, Artificial Intelligence or related fields (essential)
A minimum of 6 years relevant experience in Data Science.
Experiencing working with and managing a team of junior data scientists.
Experience in data manipulation: use of structured data tools (e.g., SQL), and unstructured data platforms (e.g., Hadoop, Spark, NoSQL)
Proficiency in at least one relevant programming language: Python, R
Experience in major machine learning modelling libraries (e.g., H2O, scikit-learn, PyTorch, Tensorflow) and techniques (e.g. random forest, gradient boosting, k-means segmentation, multiple regression, factor analysis, time-series forecasting)
Exposure to cloud native deployment of models and working with Containerised technologies such as Docker and Kurbernetees.
Knowledge of MLOPS concepts and deployment of models through batch and real-time architectures. Use of Technology such as (MLFLOW and Apache Airflow)
Familiarity with visualisation tools (e.g. Tableau, Qlik, D3, Apache Superset, Plotly)
Exposure/interest in machine learning


Closing date for applications: 7 October 2021

The base location for this role is Midrand, Vodacom Campus
The Company’s approved Employment Equity Plan and Targets will be considered as part of the recruitment process. As an Equal Opportunities employer, we actively encourage and welcome people with various disabilities to apply.
Vodacom is committed to an organizational culture that recognizes, appreciates and values diversity & inclusion.

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