Data Scientist at Vodacom

Role Purpose
The H band Data Scientist role based within Finance. Working with senior data scientists to create Advanced Analytics products that provide actionable business insight to
Vodafone and its stakeholders. Developing predictive models with senior data scientists 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 an Advanced analytics capability across Vodafone globally.

Your Responsibilities Will Include

• 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
• Work with senior data scientist to deliver key packages of work to meet the needs of business customers
• Works in partnership with Big Data Engineering for data ingestion to support use cases
• Works in partnership with Big Data Production Data Engineering for model automation and productionising

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, Social Sciences, Data Journalism, or related fields essential an d
• A minimum of 3 years relevant experience in Data Science.
• Experience in data manipulation: use of structured data tools (e.g., SQL), and 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) and techniques (e.g. random
• forest, gradient boosting, k-means segmentation, multiple regression, factor analysis, time-series forecasting)
• Familiarity with visualisation tools (e.g. Tableau, Qlik, D3)
• Exposure/interest in machine learning
• Professional and/or academic experience in Bi g Data analytics & deployment of models and algorithms to solve real-world
• problems (with deep statistical and machine learning modelling expertise)
• Experience manipulating and analysing large and complex datasets
• Experience in visualisation, creating graphical static and interactive displays of data and clearly communicate insight (preferred)
• Good interpersonal communication and presentation skills
• Ability to work in a fast-paced environment
• Analytical and expansive thinking with a strong desire to deliver and develop

Closing date for Applications: 22 May 2020