Job Purpose:

We are looking for a Senior ML Engineer to lead on data engineering and MLOPS for statistical learning projects within GSK’s global Data Science and Artificial Intelligence (DS&AI) team. The ideal candidate will be a hands-on coding expert in Python and SQL with excellent skills programming with data. They should have excellent understanding of data structures, big data wrangling, and relational data models. They should have worked on projects that involve converting unstructured data to structured forms for analysis / modelling, and have hands-on experience with development using Databricks, version control using GitHub, shell tools and scripting, using the command line environment, debugging and code profiling, metaprogramming, information security, etc.

Responsibilities:

• Work closely with the data scientists to identify data needs.

• Design and implement data pipelines for statistical learning.

• Optimize the performance of models and algorithms.

• Design and implement automated testing for data quality.

• Develop and maintain a version-controlled codebase.

• Collaborate with a highly cross-functional team including PMs and Business Analysts, Data Scientists, Data Engineers, Data Analysts and Data Stewards to ensure project success.

• Identify and recommend best practices in ML and data engineering.

Qualifications:

• Bachelor’s or master’s degree in computer science, software engineering, advanced computing technologies, or data science.

• At least 5 years of experience in data engineering.

• Strong programming skills in Python and SQL.

• Experience with data structures and relational data models.

• Experience with shell tools and scripting, data wrangling, using the command-line environment, version control using GitHub, debugging and code profiling, metaprogramming, information security, and cryptography.

• Familiarity with using Databricks as a data science platform.

• Excellent problem-solving skills.

• Excellent communication and collaboration skills.

• Ability to work independently and in a team environment.

• Strong attention to detail and ability to deliver high-quality work.

If you are a self-starter who is passionate about data and interested in working on innovative projects in the field of statistical and machine learning, we encourage you to apply for this exciting opportunity.

Why GSK?

Uniting science, technology and talent to get ahead of disease together.

GSK is a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology).

Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it’s also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves – feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together.

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