Top Data Science Jobs in Lisbon

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.

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.

Master’s interns will conduct applied research and innovation projects addressing real-world business and technology challenges. Responsibilities include collaborating with technical experts, analyzing and validating findings, documenting results, and presenting recommendations to stakeholders. The role offers mentorship, industry-relevant research experience, and potential career opportunities after completion.

Leads AstraZeneca GBS commercial transformation initiatives across global markets. Partners with senior Commercial stakeholders to identify opportunities, develop business cases, manage portfolios valued at $200K–$2M, and deliver process improvement, automation, analytics, and AI solutions. Accountabilities include governance, resource coordination, benefits realization, risk management, stakeholder influence, and coaching Managers. The role requires pharmaceutical commercial or medical operations expertise, consulting experience, global program leadership, and proven delivery of more than $5M in annual savings.

Data Science Co-Op applying statistics, machine learning, NLP, and GenAI to structured and unstructured data. Responsibilities include exploring datasets, developing predictive and prescriptive models, automating data workflows, creating interactive applications, and translating analyses into business insights for marketing, sales, finance, supply chain, and other functions.

Develop GreyNoise’s cybersecurity channel business across Europe by recruiting and activating partners, building joint business plans, enabling partner teams, generating qualified pipeline, and co-selling enterprise and government opportunities. The role manages partner relationships, channel strategy, revenue targets, forecasting, commercial negotiations, partner reviews, technical enablement, demand generation, and cybersecurity event representation.

Own the Mapping & Content product domain end to end, including strategy, prioritization, economics, and outcomes. Lead efforts to match hotel rooms and content across suppliers, languages, and formats with high accuracy and coverage. Partner closely with engineering and data science teams on entity resolution, search, matching, catalog, identity, recommendation, and content-quality problems. Identify high-value failures, make trade-offs between precision and coverage, and help build Nuitee’s product organization in a fast-moving environment.

Develop and deploy scalable, production-grade machine learning and AI solutions for financial research. Build LLM- and NLP-based applications, collaborate with senior engineers, and contribute to reliable AI-driven products. Responsibilities require Python, software engineering, deep learning, databases, Docker, and at least one major deep learning framework. Preferred experience includes RAG pipelines, vector databases, LLM fine-tuning, cloud platforms, and Kaggle competitions.

Manages and mentors Data Scientists while overseeing the full lifecycle of machine learning models powering real-time payment decisions. Defines the Payment Intelligence roadmap, translates complex data challenges into business goals, and partners with engineering, product, and design teams to deliver production solutions. Communicates ML strategy and technical trade-offs to senior leadership. The role requires hands-on expertise in Python, SQL, cloud-based ML, and complex model architectures, with payments or fraud prevention experience preferred.

Build Paddle’s data science function and production decisioning systems from the ground up. Prioritize high-value use cases, personally deliver the first ML or agentic system, and own deployment, monitoring, experimentation, reliability, governance, and financial impact. The role will establish the production ML stack, collaborate across Product, Engineering, Risk, Finance, and Compliance, then hire and lead data scientists and ML engineers. Experience with regulated transactional domains, production ML operations, experimentation, and executive stakeholder management is required.

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.

Lead data science initiatives, translate client business problems into analytics solutions, manage client relationships and project oversight, identify new opportunities, present recommendations, and guide junior team members. Apply data analysis, statistics, and programming expertise to deliver impactful outcomes for clients.

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.

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.

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.

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