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Home » Finance System Governance Intern – Philips Internship Program Washington

Finance System Governance Intern – Philips Internship Program Washington

    Website Philip Morris International

    Job Description:

    This is just the start. For us. For you. Although our tobacco brands have been world famous since the 1900s, we now have a bold new vision: to build a smoke-free future. Your fresh perspective and positive mindset can fuel our smoke-free future. You’ll be collaborating on projects that really matter and helping us to explore completely new territory. As you take your first steps, you’ll have the backing and brainpower of a multinational business behind you, but with the freedom you’d normally find in a start-up. It’s the perfect start to your career.

    Job Responsibilities:

    • Currently studying for your Master degree in Computer Science, Engineering or Mathematics
    •  Knowledge of Python (or R) for data preparation and analysis
    •  Knowledge of Machine Learning
    • Experience with a variety of datasets (structured and unstructured)
    • Knowledge in data warehouse architecture
    • Preferably knowledge in data visualizations and KPI dashboards using Tableau or Power BI
    • A desire to learn and strong motivation to succeed
    • Fluent in both written and spoken English

    Job Requirements/Qualifications:

    • Use advanced modelling techniques and machine learning to identify insights
    • Leverage on existing and new data to enable data driven decision making and bring automation & data analytics to the department
    • Put in place predictive analytics
    • Manage data modeling
    • Mine data from primary and secondary sources
    • Automation and Optimization of manual processes using machine learning techniques
    • Clean and prune data to discard irrelevant information
    • Contribute to our data governance processes and support the data analysis and insight generation at PMSA
    • Identify new opportunities for process improvement
    • Analyze and interpret results using standard statistical tools and techniques and identify trends, correlations and patterns in complicated data sets

    To apply for this job please visit www.pmi.com.


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