Data Scientist

Stack

Responsibilities

• ▹Lead the development and deployment of advanced analytics, AI and data science solutions that support strategic and operational business decision-making
• ▹Translate complex data and analytical findings into clear recommendations that improve commercial performance and business outcomes
• ▹Partner with Commercial, Medical, Finance and Business Excellence teams to identify, prioritise and shape high-value analytical and AI use cases
• ▹Drive adoption of AI-enabled capabilities and data-driven ways of working, supporting stakeholders through experimentation, implementation and change
• ▹Develop and automate dashboards, reports and analytical tools that reduce manual effort and accelerate decision-making
• ▹Support omnichannel strategy through customer analytics, segmentation, targeting, Next Best Action and engagement performance measurement
• ▹Identify opportunities to simplify business processes through automation, advanced analytics and innovative uses of technology
• ▹Evaluate the impact of commercial initiatives and customer engagement activities, providing evidence-based recommendations
• ▹Apply standards for data quality, integrity, documentation, privacy, governance and responsible use of AI across analytical solutions
• ▹Design reliable, reusable and maintainable solutions while collaborating with regional and global teams

Requirements

• ▹University degree or equivalent practical experience in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics or another relevant quantitative discipline
• ▹Relevant professional experience applying analytics, data science or AI to real business problems
• ▹Experience translating analytical work into clear recommendations and adopted business solutions
• ▹Experience collaborating with cross-functional and non-technical stakeholders
• ▹Strong proficiency in analytical programming and data manipulation, preferably Python and/or R, SQL and modern data visualisation tools
• ▹Practical knowledge of descriptive, predictive and prescriptive analytics, machine learning and statistical modelling
• ▹Ability to develop automated reporting, dashboards and scalable analytical workflows
• ▹Understanding of data quality, governance, privacy, model documentation and responsible use of AI

Nice to have

• ▹Postgraduate qualification in a relevant quantitative discipline
• ▹Experience in a commercial, healthcare, pharmaceutical or similarly regulated environment
• ▹Familiarity with cloud-based data and analytics environments

Soft skills

What we offer

• ▹Possible annual bonus, depending on the level of the role
• ▹Eligibility for the share-based long-term incentive program

About the company

GSK is a global biopharma company that unites science, technology and talent to get ahead of disease together. It aims to positively impact the health of 2.5 billion people by the end of the decade through specialty medicines and vaccines in four areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases.