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Data Scientist

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Reference ID R136398 Updated 11/06/2023
Research and Development

Where you fit?

If you are a data scientist with a passion to show business impact and value to the business with your data science skills, this could be a right opportunity for you to apply.

What's the role?

  • Drive the technical direction of our data science projects

  • Ensure that we are using the latest and greatest techniques to deliver valuable insights

  • Provide technical assurance for data science project across broader Commercial Data Science Portfolio

  • Works within a variety of well-defined and standard R&D techniques, procedures, and practices.

  • Works under general guidance and work instructions (work is being checked by manager or senior colleagues), which requires the job holder to apply a combination of applied and theoretical knowledge within a well-defined scope. Has knowledge about a specific discipline and may coach less experienced colleagues, but not yet regarded as an internal or external expert.

  • Supports the Data Analytics team in the design and execution of analytics projects.

  • Works with data and technology experts to help execute analytics projects and deploy solutions.

  • Develops optimal analytical models that address the business requirement, with acceptable levels of accuracy.

  • Writes efficient code that incorporates best practices in that technology.

  • Supports the design and delivery of analytics projects, within or cutting across different business units in Shell.

Job Requirement:

  • Bachelor of Degree in Mathematics, Statistics, Engineering, Economics, Quantitative Finance etc

  • 4 years of working experience as Data Scientist

  • Solid managerial track record

  • Excellent stakeholder management/ business partnering skills

  • Multiple data science/AI projects delivered

  • Advanced knowledge of forecasting

  • Commercial mindset (understanding of Energy industry is a bonus)

  • Experience in delivering Analytics projects for Finance (bonus)

  • Proficiency in Python

  • GitHub repo to showcase work is an advantage

  • Familiarity with cloud technology, SQL, and object-oriented programming (bonus)

  • Understanding of finance and financial accounting (bonus)

  • Expertise in statistics and mathematics

  • Data quality analysis, hypothesis testing, and advanced timeseries forecasting techniques

  • Proficiency in other programming languages like C++, Java, and SCALA (bonus)