An exciting new position has become available for the role of Data Scientist in the fintech and telecoms space. Responsibilities will include championing big data, analytics and machine learning to help build the next generation of services that are personalised, contextualised and smart. This could include work across the full Africa product suite, including the consumer and merchant app experience, the financial services portfolio, international remittances and the business portal.
Duties and Responsibilities:
- Creating machine learning and artificial intelligence products that provide actionable business insight and drive personalisation for users
- Developing predictive models with large and varied datasets while collaborating with colleagues across Advanced Analytics, Technology, and Data and Customer functions
- Developing machine learning models for various areas of the business on the Big Data Platform
- Developing prototype code in PySpark for automated training and scoring of machine learning models
- Tracking and reporting machine learning model performance
- Using data visualisation to engage audiences in a compelling way and enable effective storytelling
- Co-ordinating with Lead Data Scientist to deliver key packages of work to meet the needs of business customers
- Collaborating with Big Data Engineering for data ingestion to support use cases
- Collaborating with Big Data Production Data Engineering for model automation and productionising
- Contributing to the wider community to enable machine learning and artificial intelligence capability globally
- Managing and taking ownership of a portfolio of work from model development to stakeholder engagement
Minimum Requirements:
- Bachelor’s or Master’s Degree in quantitative fields like Mathematics, Statistics, Economics, Computer Science Engineering, Artificial Intelligence or related fields (essential)
- Professional and/or academic experience in Big Data analytics and deployment of models and algorithms to solve real-world problems (with deep statistical and machine learning modelling expertise)
- A minimum of 3 years relevant experience in Data Science or Statistical Modelling
- Experience manipulating and analysing large and complex datasets
- Experience in visualisation, creating graphical static and interactive displays of data that clearly communicate insight
- Good interpersonal communication and presentation skills
- Understands how AI and ML creates commercial value
- Ability to manage relationships with stakeholders across the continent
- Ability to work in a fast-paced environment
- Analytical and expansive thinking with a strong desire to deliver and develop
- Experience building and deploying models (Churn, AML, Credit, Fraud, etc.)
- Familiarity with visualisation tools (e.g. Tableau, Qlik, PowerBI)
- Experience working with large datasets (e.g. SQL, Spark, SAS)
- Proficiency in Python or R
- Experience in major machine learning modelling libraries (H2O, scikit-learn, PyTorch) and techniques (random forest, gradient boosting, k-means segmentation, multiple regression, factor analysis, time-series forecasting)