The International Data Science & AI organization is committed to transforming data into actionable intelligence and scalable AI capabilities that enable markets to drive better decisions, improved customer engagement, and measurable business outcomes.
We are seeking an experienced Data Scientist to develop in-market DS solutions in Spain as well as lead capability programs across international markets, including, model design, product roadmap, delivery coordination across stakeholders. This is a senior, individual contributor and hands-on role with significant influence, requiring strong cross‑functional leadership across country business stakeholders, Data Science & IIS teams.
The successful candidate will thrive in a fast‑paced, highly collaborative environment, translate business needs into clear project/program requirements, upscaling of in market and international capabilities from pilots to scalable deployments—while operating within governance, privacy, and responsible AI practices.
ROLE RESPONSIBILITIES
Role definition and key accountabilities include, but are not limited to:
This role is accountable for delivering data science driven insights & solutions by developing and implementing models & insights, that drive brands’ strategic priorities.
You are a top-tier hands on data scientist with experience in delivering end-to-end DS solutions & organizing analytical processes and workflows.
You have a passion for applied empirical analytics and answering hard questions with data, and the demonstrated ability to conceptualize, promote and implement business insights.
You have the ability to use advanced machine learning techniques for driving highly applied analyses and tools to directly drive revenue and optimize resources.
Have a strong passion for conceptualizing, documenting and deploying complex analytical plans to take on business problems.
Confirmed collaboration, executive communication and storytelling skills with ability to adapt and connect across a variety of audiences. This includes strong writing, and data visualization skills with the ability to communicate complex quantitative analysis in a clear, precise, and actionable manner to senior executives.
Leading ongoing and ad-hoc analyses and predictive analytics to provide leadership with actionable insights at tactical and strategic levels.
Be a self-starter, driven, accountable and a high-energy leader.
Background in healthcare, Pharma, or health payments analytics experience highly preferred.
BASIC QUALIFICATIONS
Bachelor’s degree in analytics related area (Data Science, Computer Engineering, Computer Science, Statistics, Economics, Mathematics, Operations Research, Information Systems, Engineering, or a related discipline)
8+ years of work experience delivering analytics, data science, AI/ML, or digital/data products in a business environment, with demonstrated end-to-end ownership from problem framing to outcomes
4+ years of hands-on product management experience
Demonstrated experience translating business priorities into clear requirements and roadmaps and leading delivery across cross-functional stakeholders (including influence without direct authority)
Strong stakeholder management and communication skills: ability to distill complex analytical concepts into clear, decision-oriented insights for technical and non-technical audiences
Strong program/project management skills: ability to define scope/deliverables, manage dependencies, monitor progress, and drive implementation and adoption.
Experience working with data and analytics ecosystems (e.g., data platforms, BI, analytics engineering) and collaborating with engineering teams to operationalize solutions.
Ability to operate effectively in a multi‑country, international environment, partnering across regions and time zones.
Ability to operate effectively in a multi‑country, international environment, partnering across regions and time zones.
PREFERRED QUALIFICATIONS
Advanced degree in Data Science, Computer Engineering, Computer Science, Information Systems or related discipline
Experience in segmentation (customer/HCP, account, or analogous segmentation), targeting, portfolio planning, or decision support, including measurement of impact and adoption.
Ability to operate effectively in a multi‑country, international environment, partnering across regions and time zones.
Experience in developing Machine Learning based products, preferably with Large Language Models and GenAI solutions
Experience in developing and operating analytic workflows and model pipelines that are parametrized, automated and reusable
Experience developing and deploying data and analytic products for use by technical and non-technical audiences
Pharma & Life Science commercial functional knowledge
Pharma & Life Science commercial data literacy
Experience developing and deploying data and analytic products for use by technical and non-technical audiences
PROFESSIONAL CHARACTERISTICS
Growth Mindset: Actively seeks improvement, evaluates the impact of insights, and helps partners anticipate strategic changes.
Analytical Thinker: Synthesizes information across data sources into clear insights and recommendations; connects analytics to business drivers and value.
Strong Communicator: Translates technical outputs into actionable commentary that enables effective decisions; adapts style to audience.
Relationship Manager / Influencer: Builds durable partnerships across levels and functions; positively influences without formal authority.
Highly Collaborative: Shares responsibility and credit; works effectively across teams; supports others through knowledge sharing and teamwork.
Strong Program Manager: Defines scope, success criteria, and action plans; sequences work appropriately; monitors outcomes and drives adoption.
Proactive Self‑Starter: Comfortable with ambiguity; prioritizes competing demands; stays current on analytics/AI trends and applies them pragmatically.
#LI-PFE
Purpose
Breakthroughs that change patients' lives... At Pfizer we are a patient centric company, guided by our four values: courage, joy, equity and excellence. Our breakthrough culture lends itself to our dedication to transforming millions of lives.
Digital Transformation Strategy
One bold way we are achieving our purpose is through our company wide digital transformation strategy. We are leading the way in adopting new data, modelling and automated solutions to further digitize and accelerate drug discovery and development with the aim of enhancing health outcomes and the patient experience.
Flexibility
We aim to create a trusting, flexible workplace culture which encourages employees to achieve work life harmony, attracts talent and enables everyone to be their best working self. Let’s start the conversation!
Equal Employment Opportunity
We believe that a diverse and inclusive workforce is crucial to building a successful business. As an employer, Pfizer is committed to celebrating this, in all its forms – allowing for us to be as diverse as the patients and communities we serve. Together, we continue to build a culture that encourages, supports and empowers our employees.
Disability Inclusion
Our mission is unleashing the power of all our people and we are proud to be a disability inclusive employer, ensuring equal employment opportunities for all candidates. We encourage you to put your best self forward with the knowledge and trust that we will make any reasonable adjustments to support your application and future career. Your journey with Pfizer starts here!
Pfizer endeavors to make www.pfizer.com/careers accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process and/or interviewing, please email
[email protected]. This is to be used solely for accommodation requests with respect to the accessibility of our website, online application process and/or interviewing. Requests for any other reason will not be returned.
Se valorarán las candidaturas que puedan aportar certificados oficiales de discapacidad.
Las únicas localizaciones disponibles para nuevos empleados serán Madrid, y Barcelona de forma excepcional para algunas funciones específicas.
To learn more about acceptable and prohibited uses of AI during the recruitment process, please review our candidate AI-use guidelines available on Pfizer Careers.
Marketing and Market Research
