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2 years ago
Job Expired
Our client in the Information Technology industry is looking for a Software Engineer to be based in Harare
Duties & Responsibilities
• Manage and develop the Data Science and Analytics team and product offering in-line with the wider organization’s offering
• Design, prototype, develop and deploy machine learning risk models.
• Curating enterprise data sets, risk models, analytics and NLP techniques
• Write high-quality code with good practices across all environments, development, testing and production.
• Develop and maintain high standards for our data science, analytics, risk model and AI/ML capabilities continuously innovating and leveraging new ideas and technologies
• Convert data into decisions that can have a large impact on our clients’ businesses.
• Manage the full data lifecycle including scoping projects, importing & cleansing data, running analysis, and reporting back insights.
• Work with other members of our team including product managers, sales and marketing, management as well as software engineers
• Develop ETL framework for extracting, transforming and loading (ETL) data onto the organisation’s cloud AWS database and enterprise platform
• Work within a documented process for data security, business continuity and GDPR compliance, other regulatory requirements as well as ethically.
REQUIREMENTS
• BSC, MSc, PhD or equivalent experience in Computer Science, Statistics, Engineering, Actuarial Science, Mathematics, Physics or quantitative discipline.
• GitHub, Kaggle (or equivalent) public repository with a portfolio of projects
• Good knowledge of R, Python. A strong experience in Python coupled with deep understanding of machine learning/AI frameworks
• Practical experience in building NLP models
• Working experience with cloud platforms (AWS is beneficial)
• Practical experience in developing and deploying machine learning models
• Experience working with SQL databases and others
• Experience with programming languages and statistical platforms and tools: SAS, R, MatLab or Python
• Three to Five years’ experience working in a Data Science/Data Analysis/statistics role in a commercial environment is helpful
• Big 4 Audit, Risk experience an added plus
• Excellent knowledge of engineering methodologies (version control, CI/CD)
• Analysis workflows (Notebooks, Drake etc)
Duties And Responsibilities
Manage and develop the Data Science and Analytics team and product offering in-line with the wider organization’s offering
• Design, prototype, develop and deploy machine learning risk models.
• Curating enterprise data sets, risk models, analytics and NLP techniques
• Write high-quality code with good practices across all environments, development, testing and production.
• Develop and maintain high standards for our data science, analytics, risk model and AI/ML capabilities continuously innovating and leveraging new ideas and technologies
• Convert data into decisions that can have a large impact on our clients’ businesses.
• Manage the full data lifecycle including scoping projects, importing & cleansing data, running analysis, and reporting back insights.
• Work with other members of our team including product managers, sales and marketing, management as well as software engineers
• Develop ETL framework for extracting, transforming and loading (ETL) data onto the organisation’s cloud AWS database and enterprise platform
• Work within a documented process for data security, business continuity and GDPR compliance, other regulatory requirements as well as ethically.
Qualifications And Experience
BSC, MSc, PhD or equivalent experience in Computer Science, Statistics, Engineering, Actuarial Science, Mathematics, Physics or quantitative discipline.
• GitHub, Kaggle (or equivalent) public repository with a portfolio of projects
• Good knowledge of R, Python. A strong experience in Python coupled with deep understanding of machine learning/AI frameworks
• Practical experience in building NLP models
• Working experience with cloud platforms (AWS is beneficial)
• Practical experience in developing and deploying machine learning models
• Experience working with SQL databases and others
• Experience with programming languages and statistical platforms and tools: SAS, R, MatLab or Python
• Three to Five years’ experience working in a Data Science/Data Analysis/statistics role in a commercial environment is helpful
• Big 4 Audit, Risk experience an added plus
• Excellent knowledge of engineering methodologies (version control, CI/CD)
• Analysis workflows (Notebooks, Drake etc)
More Information
- Job Application Details How To Apply If interested please send your CV to [email protected] Deadline 9 December 2021
- This job has expired!
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