Top Data Science Jobs in Portugal

As the Director of Data Science, you'll mentor teams, oversee projects, drive data-driven decisions, and implement AI and ML solutions while enhancing our data pipeline.

Lead the development of reporting and analytics capabilities, improve product features, and drive cross-functional collaboration to enhance customer satisfaction and revenue growth.

The AI Lead Product Manager will define and own the product strategy for AI-powered health data, lead product teams, engage with stakeholders, and ensure compliance with regulations.

Lead and operationalize AI compliance and Responsible AI across development, translating regulations (e.g., EU AI Act, FDA/EMA) into policies, risk frameworks, and controls. Drive cross-functional risk assessments, monitoring, audit readiness, and training to ensure ethical, auditable, and GxP-aware AI deployment. Partner with Legal, Privacy, DDIT, and enterprise AI teams to enable safe, scalable AI adoption.

Lead and operationalize Development AI strategy, governance, and decision-support across Development, DDIT, and enterprise AI bodies. Build competitive intelligence, prioritize AI portfolio investments, run governance forums, ensure risk and compliance alignment, coordinate external partnerships, and drive capability-building and cross-functional execution to realize AI value for pharmaceutical development.

Lead development, launch, and continuous improvement of 1-3 AI-powered products in the life sciences. Define product vision, strategy, and roadmap; manage product lifecycle from MVP to scale; oversee budgets and resources; collaborate with business owners, DDIT, and external partners; drive data-driven decisions and ethical AI deployment.

The Lead Golang Software Engineer develops server solutions, leads technical designs and code reviews, mentors colleagues, and ensures the quality of engineering practices in the Commercial Systems unit.

Lead strategic product roadmaps, conduct market intelligence, manage pricing strategy, apply data analysis, and mentor teams while collaborating with cross-functional partners.

Apply Data Science and automation to enhance logistics performance through data extraction, modeling, and dashboards to support continuous improvement initiatives.

The Director of Audit Intelligence Enablement will lead the integration of advanced analytics and AI into audit processes, support senior leaders, and manage a high-performing team to drive measurable audit outcomes.

Lead end-to-end delivery of multiple software projects by creating and managing plans, running agile ceremonies, tracking KPIs, coordinating distributed teams and stakeholders, mitigating risks, and ensuring on-time delivery using project management tools (Linear).

Lead a team of data scientists, defining technical approaches for projects, managing team development, and ensuring high-impact machine learning solutions for fraud detection and risk assessment.

Lead audit intelligence use cases from concept to implementation, translating audit needs into functional requirements, and ensuring adoption of analytics in audit processes.

As an AI Product Manager, you will lead the development of AI-powered features, collaborating with cross-functional teams to align products with user needs and business goals, while overseeing the product lifecycle.

Lead GTM strategy and product positioning for key products, create messaging and content, run campaigns and launches, analyze market and competitive trends, and collaborate cross-functionally to drive adoption, pipeline growth, and customer engagement.

Manage and grow a stable of freelance creators to produce and edit high-quality written and video tutorials on data science, AI, analytics, BI, data engineering and cloud. Write content briefs, edit submissions, combine SEO keyword analysis with domain expertise, and meet targets of 25 articles and 4 videos per month while ensuring quality and deadlines.

Recruit, manage, and edit freelance creators to produce high-quality written and video tutorials on data science, AI, analytics, BI, and cloud. Write content briefs, combine SEO analysis with domain expertise, and meet targets of 25 articles and 4 videos per month while ensuring quality, deadlines, and payment management.

The Data Science Editor will create and edit tutorials on data science and AI, manage freelancers, and improve content through SEO practices.

As a Software Engineer, you will design and develop applications, write clean code, engage in code reviews, optimize systems, and explore new technologies in a remote team.

Manage and mentor a team of Data Scientists, oversee machine learning models, and shape technical solutions within the Payment Intelligence team.

Lead hands-on credit-risk analytics: validate anonymized enterprise data, build PD/delinquency/scorecard models, establish model-validation and documentation, define features in SQL/dbt/Python, prototype a natural-language insight layer, and lead a small delivery pod while presenting findings to executives.

Lead data science initiatives to develop AI-driven solutions for healthcare. Collaborate across teams to transform data into actionable insights and manage resources effectively.

As a Curriculum Manager, you will manage the content development lifecycle, collaborate with instructors, and improve data science curriculum, ensuring technical accuracy and pedagogical effectiveness.

As a Data Science Intern, you'll identify frameworks for data-driven business challenges, transform datasets, run analyses, build machine learning models, and communicate results.

The Curriculum Manager will oversee the content development lifecycle, recruit instructors, design curriculum, assess course performance, and improve data science and engineering content.