Data Scientist

GSK Lisbon Updated 29 September 2026
PharmaBiotechQuality Assurancepythonemacroinformaws

Job description

Job purpose* The Data Scientist will strengthen Portugal's internal capability in data, advanced analytics and artificial intelligence, translating complex information into actionable insights and scalable solutions that improve decision-making, commercial effectiveness and organisational productivity. The role combines technical expertise with strong business understanding and cross-functional partnership. It will identify high-value use cases, develop and deploy analytical solutions, automate repetitive processes, and accelerate the adoption of data-driven and AI-enabled ways of working across the organisation. Key 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, improve access to insights 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 for continuous improvement. Apply appropriate 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 to leverage best practices and build organisational capability. A. Educational background Minimum level of education* University degree or equivalent practical experience. Area of specialisation* Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics or another relevant quantitative discipline. Why this level is required The role requires a strong quantitative foundation to develop, evaluate and communicate analytical and AI solutions responsibly. Preferred level of education Postgraduate qualification in a relevant quantitative discipline is advantageous but not essential. B. Job-related experience 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 working in a commercial, healthcare, pharmaceutical or similarly regulated environment is advantageous. Experience collaborating with cross-functional and non-technical stakeholders. C. Other job-related skills / background Strong proficiency in analytical programming and data manipulation, preferably using 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. Familiarity with cloud-based data and analytics environments is advantageous. Skills Business Acumen, Data to Insights, Digital Fluency, Influencing Without Authority, Problem Solving, Project Management, Sales Performance, Scientific Literacy Portuguese Salary Range / Faixa Salarial em Portugal: EUR 0 to EUR 0The annual gross base salary range for new hires in this position is listed above for each applicable location. These ranges take into account a number of factors including the candidate’s skills, experience, education level and the market rate for the role. In addition, this position may offer an annual bonus and eligibility to participate in our share based long term incentive program which is dependent on the level of the role. More detailed information on the total benefits package will be supplied during the recruitment process. This role is available for applicants from multiple locations, and therefore salary ranges for certain locations are also shown. Salary ranges for other locations are shown because some markets have pay transparency laws that require salary information on job postings, and those locations are potential job sites for this role. If salary ranges are not displayed in the job posting for a specific location or country, the relevant compensation will be discussed during the recruitment process. Please note salaries vary by country based on the candidate’s skills, experience, education level and the market rate for the role. Offers are typically made within the advertised range based on the candidate’s skills, experience and qualifications, with the upper end generally reserved for highly experienced candidates or other exceptional circumstances aligned with these criteria.A faixa salarial base anual bruta para novos colaboradores nesta função encontra-se indicada acima para cada localização a

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