Data Scientist

GlaxoSmithKline; Lisboa; Presencial; EUR 55 000 - 75 000; Tempo integral

Resumo da oferta

GlaxoSmithKline in Portugal is seeking a Data Scientist to strengthen internal capability in data, advanced analytics and AI, translating complex information into actionable insights and scalable solutions that improve decision-making and commercial effectiveness.

You will collaborate with Commercial, Medical, Finance and Business Excellence teams to identify high-value use cases, develop automated dashboards and analytics workflows, and accelerate adoption of data-driven ways of working across

Qualificações

• Strong proficiency in analytical programming and data manipulation using Python and/or R and SQL.
• Experience with descriptive, predictive and prescriptive analytics, machine learning and statistical modelling.
• Ability to develop automated reporting, dashboards and scalable analytical workflows.
• Knowledge of data quality, governance, privacy, and responsible use of AI.

Responsabilidades

• Lead the development and deployment of analytics, AI and data science solutions.
• Translate findings into clear recommendations to improve commercial performance.
• Partner with Commercial, Medical, Finance and Business Excellence teams to identify AI use cases.
• Drive adoption of AI capabilities and data-driven ways of working across the organisation.
• Develop and automate dashboards and analytical tools to speed decision-making.
• Support omnichannel strategy through customer analytics and engagement measurement.

Conhecimentos

Data visualization tools

Descriptive analytics

Predictive analytics

Prescriptive analytics

Machine learning

Statistical modelling

Automated reporting

AI governance

Formação académica

University degree or equivalent

Postgraduate qualification

Ferramentas

Python

R

SQL

Descrição da oferta de emprego

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 0

The 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 aplicável. Estas faixas salariais têm em conta diversos fatores, incluindo as competências do candidato, a experiência profissional, o nível de formação académica e a remuneração praticada no mercado para funções semelhantes. Adicionalmente, esta posição poderá incluir a atribuição de um bónus anual e a elegibilidade para participação no nosso programa de incentivos de longo prazo baseado em ações, dependendo do nível da função. Mais informações sobre o pacote global de compensação e benefícios serão disponibilizadas ao longo do processo de recrutamento. Esta função está aberta a candidatos de várias localizações; por esse motivo, são apresentadas faixas salariais para diferentes geografias. Algumas destas faixas são divulgadas em cumprimento de leis de transparência salarial aplicáveis em determinados mercados, os quais podem constituir potenciais locais de trabalho para esta função. Nos casos em que a faixa salarial não é indicada na oferta de emprego para uma determinada localização ou país, a compensação aplicável será discutida durante o processo de recrutamento. Importa salientar que os níveis salariais variam de país para país, tendo em conta as competências do candidato, a experiência profissional, o nível de formação e a prática de mercado para a função. As propostas salariais são, regra geral, efetuadas dentro da faixa anunciada, sendo o limite superior normalmente reservado a perfis com elevada experiência ou a situações excecionais devidamente justificadas de acordo com estes critérios.

Why GSK?

Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases – to impact health at scale. People and patients around the world count on the medicines and vaccines we make, so we’re committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people. Should you require any specific adjustments to our process to assist you in demonstrating your strengths and capabilities contact us on [e-mail]. Please note should your enquiry not relate to adjustments, we will not be able to support you through these channels.

GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law.

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We are 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. Getting ahead means preventing disease as well as treating it, and we aim to impact the health of 2.5 billion people around the world in the next 10 years. 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. Find out more on our career site.