Job Opportunities at Vodafone Global Enterprise

Role Purpose

• We are looking for an experienced Senior Data Scientist to join our team. The successful candidate will be responsible for designing and implementing machine learning models, using big data tools such as Spark and Python to analyze large volumes of data, and developing algorithms that drive business decisions. The candidate must have excellent skills in mathematics, statistics, and AI, as well as a keen interest in data science and problem-solving.

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
• Work with lead 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
• Deploy models in Containerized Environments using tools such as Docker and Kubernetees , allow for on-prem and on Cloud Deployment.
• Developing insightful dashboard to enable faster decision making
• Identifying new data sources and evaluate emerging technologies for data discovery usage.
• Mentoring young data scientists in the team
• Presenting the results to technical and non- technical audiences

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 5 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
• Professional and/or academic experience in Big 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 that 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: 20 April 2023.

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Role Purpose

• Identify opportunities to design and build and take to market, inter-aliaPlatform businesses
• Design, model, test and launch new ventures operationally, commercially and financially
• Develop market Awareness, Acquisition, Activation and Retention strategies and plans
• Take responsibility for the launch and success of the ventures
• Assess build, buy, and Partner options to accelerate growth plans

Have a clear understanding of

• Strategic thinking,
• Business planning,
• Storytelling and pitching,
• Proactive problem solving
• End-to-end venture assessment,
• Articulating pivot points in the development of a venture
• Reengineering and radically simplifying operational models
• Platform businesses and associate technologies
• Understand Design Thinking principles and the Agile Project Management framework
• Ensure human-centric focus to venture and user experience designs
• Identify ideas that result in improving operating efficiency and reducing costs.
• Prepare written documentation across all stages of developing a venture
• Must be able to manage the end-to-end incubation and acceleration stages of multiple ventures running concurrently
• Build quality business plans, go-to-market and growth plans for ventures to be accelerated
• Follow a lean start-up methodology to launch new ventures in the market to ignite and prove new revenue streams

Your Responsibilities Will Include

Key accountabilities and decision ownership:

• Identify and validate new venture opportunities
• Develop the vision, framework and strategy for new ventures to be built
• Create operating models and business process maps of the high-level activities involved in defining what a planned business entity will do, who is responsible, and how the success of a business unit can be determined
• Identify, develop, and assess build, buy, and Partner options to accelerate the growth plans
• Identify and exploit opportunities for venture funding
• Participate in the design, development, deployment, testing and configuration of products affiliated with each venture.
• Ensure alignment of products to vision defined for venture
• Work collaboratively to understand the customers’ problem statements, the value chain, cost structures, profit pools, size of the opportunity, and the associated sensitivity analysis
• Support the development and scale-up of a venture from inception to exit
• Define and develop business, financial and commercial models that deliver outsized value to customers
• Establish key performance indicators for venture outcomes
• Compile reports at each incubation and acceleration stage of ventures to cascade design considerations, trial findings, market reactions to the launched venture, and pivot recommendations
• Deliver a great experience to partners when working with our organisation - Be the Internal partners’ liaison.
• Develop Vision and strategy for Ventures
• Drive ventures through the Incubation and, where applicable, the acceleration stages contained in the Innovation Framework
• Assess outcomes of each stage/sub-stage, cascade findings, opportunities and pivot recommendations
• Develop, test and execute business models and plans
• Develop best practices, processes and innovative procedures to improve the quality of ventures established and their associated success rate
• Identify and mitigate risks confronting planned ventures
• Provide written documentation (incl. reports)

The Ideal Candidate For This Role Will Have

• Postgraduate Degree in Commerce or Business Science degrees
• Bachelor's Degree in technology or engineering-related discipline is a must
• Demonstrated entrepreneurial experience
• 7 years of experience incubating new businesses and/or establishing new businesses or markets
• Strong preference for candidates with entrepreneurial/intrapreneurial and consultancy industry experience
• 5 years of Business Management hands-on experience

Strong Interpersonal And Communication Skills Are Required

• Ability to influence and get stakeholder buy-in
• Analytical thinker with interpersonal skills
• Ability to apply a disciplined experimental and design thinking approach to solving problems and modelling businesses using data and current technology tools

Skills

• Business Management
• Communication and active listening
• In-depth knowledge of business design, Incubation, and Acceleration
• Business Modelling – financial and commercial
• Business Plan development and execution
• Networking
• Critical and Creative Thinking
• Time Management and Organisational

Closing date for Applications: 24 April 2023.