Senior Data Scientist

  • PricewaterhouseCooper (PwC)
  • Feb 12, 2019
Full time Research

Job Description

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.

Job Requirement(s)

  • 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.


5 years


Knowledge, Skills & Attribute

  • 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.