Data Scientist

Key Skills

Analytical and Problem solving, C# Programming, C++, JavaScript, Python Programming, Scala Programming, SQL

Job Description

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)