Top Data Science Jobs in Portugal

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.

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.

Designs and delivers technology learning journeys—especially Gen‑AI, data science, and networking—by assessing capability gaps, creating scalable curricula, enabling trainers, facilitating sessions, and measuring learning impact across sales and technology audiences.

Implement and support Microsoft Customer Insights projects: integrate data sources, configure unified profiles, build customer segmentation and behavioural analyses, develop and execute test strategies, connect Customer Insights with Dynamics and other Microsoft platforms, support Sales alongside Corporate IT/T2D, and create dashboards using Power BI.

Drive application security and regulatory compliance through vulnerability management, CI/CD and Azure-based practices, security scanning, compliance testing (DR, pen tests), and developer best-practice governance. Report on product compliance, lead technical change (GenAI, FinOps), and support remediation and patching efforts.

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.

Own a product helping clients make portfolio decisions: set roadmap, write feature requirements, prioritize backlog, coordinate PI planning, work with developers and data scientists, leverage market and GenAI insights, and validate product success with internal and external stakeholders.

Lead SEA bidding analytics and automation: model elasticity and marginal ROI, design and run experiments, build Python pipelines using Google Ads/SA360 APIs, create BI dashboards, and collaborate with Data Science, Pricing, and Engineering to operationalize AI-driven bidding.

Work on omnichannel customer analytics and ML solutions (churn, CLV, segmentation, personalization) from requirements to deployment using Python, PySpark, MLflow, Databricks and cloud platforms; apply statistical testing, communicate insights, and collaborate with cross-functional teams to support eCommerce and retail strategies.

Develops scalable data science solutions using AI, machine learning, statistical models, and automation to address complex life sciences and business problems. Responsibilities include analyzing structured and unstructured data, managing enterprise data lifecycles, researching novel methods, creating visualizations, translating insights for stakeholders, and collaborating across business functions to support medical and organizational outcomes.

Manage curriculum development for data science and engineering, collaborate with instructors, create content, and drive improvements based on learner feedback.

As a Curriculum Manager, you will manage content development for the data science and engineering curriculum, collaborating with instructors and teams to enhance learning experiences.

Design and deploy ML and AI solutions for finance planning and forecasting. Build predictive and prescriptive models, prepare and optimize enterprise datasets, implement model monitoring and Responsible AI, and collaborate with finance stakeholders to deliver scalable analytics, dashboards, and generative AI/LLM initiatives.

Data Scientists at QuantCo will analyze data, build machine learning models, and communicate results to stakeholders, aiming for impactful solutions.

Lead client engagements, translate business problems into analytics and ML solutions, provide project oversight, develop presentations, identify new opportunities, and mentor junior team members while orchestrating the team.

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.

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.

Translate business problems into analytical solutions across the ML lifecycle: data wrangling, model development, deployment and monitoring. Build and productionize models (churn, CLV, segmentation, personalization) using MLOps tools and cloud platforms, apply statistical testing, create visual narratives for stakeholders, and collaborate with cross-functional teams in an agile environment.

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

Support development and testing of generative AI models, prepare and process data for AI applications, gather requirements from cross-functional teams, contribute to knowledge sharing, and help communicate technical findings to stakeholders through presentations and documentation.

Design, develop, and deploy generative AI models for business use cases. Collaborate with business and technical teams to identify AI opportunities, conduct research on generative AI advancements, and integrate innovations into production solutions.