Senior Data Scientist at PricewaterhouseCoopers (PwC)

Reference Number:125-NIG00195
Location: Nigeria
Department: Assurance
Job type: Permanent

Job Summary

• 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

Essential Responsibilities

• 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.

Qualifications

• Master's/PhD Degree in any of Computer Science, Engineering Sciences, Applied Mathematics, Applied Physics
• +5 years industry experience
• 3+ years functional knowledge of any programming scripting and data science languages such as JavaScript, Python, R, PowerShell, SQL, .NET, Ruby, PERL, C++, DJANGO Framework is a plus
• 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.