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Job Description:

Position is part of a multidisciplinary Data Science team delivering advanced analytics projects for different business units within Shell. 

This role is ideal for students and fresh graduates with a strong quantitative background who wish to specialize in business applications of Artificial Intelligence and Data Science.

Intern responsibilities in Data Science team:

• Supporting the Data Science team with data preparation and exploration for analytics projects       

• Supporting the development of analytical models for projects; collaborating with different business stakeholders & other partners; working across a range of technologies and tools   

• Working with data and technology experts to support delivering analytical solutions

During the Development Program in Shell you will work with an incredibly diverse range of people on a project that encourages you to use your knowledge and skills in original and innovative ways. This is a chance for you to put into practice theories and concepts learned at the University.

We are offering you:

• Fully paid 3-months' internship (July-September) with a certificate of completion and possibility to continue the employment with us

• 5 days of holidays

• Buddy – a person who will be supporting you during the Program

• Fun & integration time

Requirements:

• Python

• MS Office knowledge – Excel in particular

• Knowledge of Statistics and/or Econometrics and/or Machine Learning

• Problem solving orientation

• Curiosity and ability to self-learn

• Ability to work effectively in the group

• Good English skills, both written and spoken

Nice to have:

• SQL and/or R

• Knowledge of a visualization tool (PowerBI, Tableau, etc.)

• Familiarity with Azure Databricks

• Good communication and data presentation skills

If you don't see yourself fully reflected in every job requirement listed on the posting above, we still encourage you to reach out and apply. Research has shown that women and underrepresented groups often only apply when they feel 100% qualified. We are committed to creating a more equitable, inclusive and diverse company and we strongly encourage applicants of all genders, ages, ethnicities, cultures, abilities, sexual orientation, and life experiences to apply!

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