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Senior Credit Data Scientist

4 months ago

Midrand, South Africa Vodafone Full time

**Role purpose**:
**Your responsibilities will include**:
Conduct thorough statistical analysis to identify relevant credit risk indicators and patterns, using large datasets.
Collaborate with cross-functional teams, including data scientists and business stakeholders, to gather requirements and fine-tune credit scorecard models according to business needs.
Developing predictive models with large and varied datasets,
working with a community of colleagues across Big 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

**Technical / Professional Qualifications**:
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.

**Core competencies, knowledge, and experience**:
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**:18 August 2023**

The base location for this role is, **Vodacom Campus, Midrand.**

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 organisational culture that recognises, appreciates and values diversity & inclusion.