Key Duties:
- Identify valuable data sources and automate collection processes
- Undertake pre-processing of structured and unstructured data
- Analyse large amounts of information to discover trends and patterns
- Build predictive models and machine-learning algorithms
• Combine models through ensemble modelling • Evaluate model performance and use hyperparameter tuning or feature selection to improve models.
- Implement object serialization (Storing variables and their values)
- Ensure model reproduce ability (environment dependencies and versions)
• Present information using data visualization techniques • Propose solutions and strategies to business challenges
• Collaborate with engineering and product development teams • Implement and drive new projects/models within the business.
- Identify areas of improvement within the business and by involving the necessary personnel with the relevant skills, proposing the required solutions.
- To provide instruction and guidance to other personnel within the Solutions team and company, and ultimately facilitating the achievement of goals.
- Conduct and lead feasibility studies on various internal and external ventures.
- Presentation of key findings to clients and the business.
- Ensure the solutions team remains informed of the technologies and capabilities available in the market.
- Keep EXCO informed of trends within the industry and business
- Offer guidance and support to the Business Analysts
Minimum Requirements:
- Proven experience as a Manager/Leader in similar role.
- Understanding of the logistics industry.
- Proven experience as a Data Scientist or Data Analyst
- Experience in data mining
- Understanding of machine-learning and operations research
- Knowledge of SQL and Python
- Experience using business intelligence tools (e.g. Tableau and Power Bi) - Analytical mind and business acumen
- Strong math skills (e.g. statistics, algebra)
- Excellent communication and presentation skills (Visual story telling)
- BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or another quantitative field is preferred
- Valid Code 08 driver’s license and own reliable transport
Technical Qualifications and Skills (Course/ Certificates and experience)
- Microsoft Power BI Desktop
- Tableau Server and Online
- Python (Programming language)
- Experience with Pandas’ library
- Python Data Analysis Library
- Experience with Machine Learning (Regression and classification)
- Information Technology: Systems development
