Permanent Senior Data Scientist
Senior Data Scientist
PricewaterhouseCooper (PwC) firms help organisations and individuals create the value they’re looking for. We’re a network of firms in 158 countries with more than 250,000 people who are committed to delivering quality in assurance, tax and advisory services. In Sub-Saharan Africa, we’re the largest provider of professional services with offices in 34 countries and over 9 000 people.
We are looking for an experienced data scientist to focus on Machine Learning, Natural Language Processing (NLP), business Intelligence, and applied to complex problems involving large-scale data
Work with stakeholders, identifying opportunities for leveraging data to solve for business challenges
Identify valuable data sources / data sets that can be leveraged to improve results
Analyze data to interpret business opportunity and discover trends and patterns.
Process, cleanse, and verify the integrity of structured / un-structured data used for analysis
Research and implement custom statistical models and machine learning algorithms
Execute analytical experiments methodically to evolve ideas into successful solutions
Coordinate with engineering and software development team to integrate model into continuous business / process / software cycle.
Present information using data visualization techniques.
Communicate results and ideas to key stakeholders / decision makers.
Mentor junior scientists.
Masters/PhD Degree in any of Computer Science, Engineering Sciences, Applied Mathematics, Applied Physics
+5 years industry experience
Any application of AI, Cognitive and Data Science technologies such as Azure Machine Learning, Cognitive Services, Text Analytics API, Bot Service, Anaconda, Jupyter, R, Spark, Neural Networks, NLP, etc
Proficiency in R, Python, SQL, NoSQL, Shell Scripting, Linux
Familiarity with data visualization tools – Microsoft Power BI, Tableau, Qlik, MicroStrategy, Alterxy
Excellent communication and presentation skills
Knowledge and Skills Requirements:
In-depth familiarity with Deep Learning, Machine Learning, Natural Language Processing, and Advanced Statistical Analysis
Knowledge of cloud-based data science and open-source tools.
The ability to work and collaborate with an interdisciplinary team of software developers, data scientists, data engineers and Subject Matter Professional (SMP) from the business practice