Internship null

Job Description

At GSK, we have already delivered unprecedented change over the past four years, improving R&D, becoming a leader in Consumer Healthcare, strengthening our leadership, and transforming our commercial execution. Now, we’re making the most significant changes we’ve made to our business in over 20 years. We’re on track to separate and create two new companies in 2022: New GSK with a leading portfolio of vaccines and specialty medicines as well as R&D based on immune system and genetics science; and a new world-leading consumer healthcare company of loved and trusted brands.

With new ambition comes new purpose. For New GSK, this is to unite science, talent, and technology to get ahead of disease together – all with the clear ambition of delivering human health impact; stronger and more sustainable shareholder returns; and as a new GSK where outstanding people thrive.

Getting ahead means preventing disease as well as treating it. How we do all this is through our people and our culture. A culture that is ambitious for patients – so we deliver what matters better and faster; accountable for impact – with clear ownership of goals and support to succeed; and where we do the right thing. So, if you’re ready to improve the lives of billions, join us at this exciting moment in our journey. Join our challenge to get Ahead Together.

Responsibilities:

• Implement Data Engineering, ML Engineering and DevOps Solutions.
• Implement data standards within a function.
• Responsible for programming and QC.
• Participate in the design of Data engineering, ML Engineering and DevOps components.
• Identify recurring problems and work with colleagues to initiate process improvement.
• Create documentation for Technical Debt, Product Detail running in production & Process documents.

Basic qualifications:

• Bachelor’s Degree in engineering in any disciplines
• Good Python Programing Skills.
• Good Knowledge of Database and Data Engineering Concepts.
• Effective written and verbal communication skills.
• Preferred if exposed to cloud technologies.