Top Data Science Jobs in Barcelona

Leads global digital manufacturing transformation projects across multiple sites and functions. Responsibilities include identifying improvement opportunities, developing digital and operational technology programs, coordinating cross-functional teams, managing scope, budgets, timelines, risks, and resources, and applying Agile and Waterfall methodologies. The role also drives data-driven decision-making, operational efficiency, continuous improvement, stakeholder engagement, and coaching in analytics, automation, process digitalization, robotics, and other digital manufacturing themes.

A full-time 6–12 month internship in Barcelona supporting AI and data projects across machine learning, data science, AI engineering, data engineering, bioinformatics, clinical data, and analytics teams. Interns will assist with analysis, reports, workshops, presentations, and collaborative innovation initiatives within AstraZeneca’s biopharmaceutical environment.

Own and rebuild Glovo’s homepage to drive repeat orders, discovery, GMV, and contribution margin growth. Define the product roadmap, run measurable experiments, collaborate with Data Science, Design, Engineering, Ads, Monetization, Growth, Checkout, and Catalog teams, and align stakeholders around strategy, vision, and results.

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.

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.

Leads forecasting and commercial assessment for Sanofi’s pipeline and external pharmaceutical assets. Responsibilities include patient-based revenue modeling, scenario analysis, market research, competitive assessment, pricing and market-access evaluation, portfolio strategy, and executive presentations. The role partners with commercial, finance, business development, and analytics stakeholders to guide pipeline decisions and assess asset value.

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.

Own the global B2B content strategy for enterprise audiences, creating content across websites, advertising, whitepapers, case studies, thought leadership, social, video, and sales enablement. Build AI-assisted content production systems with prompt libraries, source-of-truth repositories, agentic workflows, and human review controls. Partner with Product, Sales, and regional Marketing teams to develop enterprise messaging and improve content quality using performance data.

Summer intern supporting computer vision and multimodal AI research for medical imaging and video. Responsibilities include interviewing clinical stakeholders, identifying business value, developing and evaluating computer vision models, extracting insights from reports, and communicating technical findings. Work covers modalities including endoscopy, ultrasound, X-rays, dermatology images, retinal OCT, and histopathology.

Lead and mentor a data science team developing machine learning systems for threat detection and agentic AI. Set ML technical strategy, standards, roadmaps, and deployment practices; guide projects from research through production; collaborate with security, engineering, and product teams; develop advanced malware and behavioral threat models; communicate insights; and contribute to research, publications, patents, and hands-on technical work.

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.

Advise C-level life sciences and healthcare executives on AI and data strategies, lead large-scale digital transformations, develop client solutions, and guide implementation and scaling. Build new business opportunities, manage long-term client relationships and multimillion-dollar portfolios, lead cross-functional engagement teams, and ensure high-quality analytical deliverables. Contribute to practice development and organizational growth.

As a Fraud Data Analyst, you will architect real-time defense strategies against payment fraud, develop precision rules, optimize decisioning stacks, and report performance metrics to senior leadership while ensuring a frictionless user experience.

Data Science Intern supporting mobility demand forecasting, fleet optimization, user feedback analysis, and other machine learning use cases. Responsibilities include exploring datasets, developing and evaluating models, feature engineering, deploying proofs of concept, monitoring production models, and communicating findings. The role requires Python, data science libraries, SQL, statistics, machine learning fundamentals, Git, and professional communication in Spanish, French, and English.

Lead and develop a team of Data Scientists and ML Engineers building production machine-learning systems for logistics. Drive AI adoption, roadmap prioritization, agile execution, and measurable business outcomes. Partner with Product Managers, Staff ML Engineers, and the MLOps platform team to deploy scalable solutions. The role requires deep hands-on experience with production ML, recommender systems, pricing algorithms, statistical models, and modern data and AI technologies, alongside strong people leadership and executive communication skills.

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 and mentor a data science team building ML and LLM solutions for cybersecurity. Translate business needs into research and production ML objectives, prioritize roadmaps, collaborate cross-functionally, and drive technical vision, model development, and operationalization for malware detection and threat analysis.

Seeking an independent board director with expertise in ML-driven products and data platforms. The role focuses on guiding the company's data-driven culture and product strategies, not on day-to-day operations.

Lead the technical and product vision for the UA DSP, unifying Data Science, Data Engineering, Analytics, BI, and bidding/prediction backend. Own roadmap from bidding/prediction to reporting, manage and grow a ~20-person cross-functional team, partner with GTM and sales, and drive transition from managed-service to self-service advertiser tooling.

Lead strategy and roadmap for BidMachines supply-side product. Own product lifecycle, collaborate with engineering, sales, publishers and data teams, analyze supply performance, and drive features for inventory management, auction dynamics, and demand-supply matching to maximize publisher revenue and advertiser satisfaction.

As an AI Director, lead AI and data programs for Specialty Chemicals, drive account growth, mentor teams, and engage C-level stakeholders strategically.

Remote AI/ML Architect to assess current AI/ML landscape, document requirements, and propose SDLC, governance, and deployment approaches. Provide recommendations to architecture and ICT management. Onboarding in the Netherlands (first week). Candidates must be based in Europe with a valid work permit.

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.

The Senior Product Manager will lead the strategic roadmap, conduct market research, manage monetization strategies, and mentor a team while collaborating across various departments.

As a Data Science Associate, you will analyze data for various domains, create data management pipelines, interact with clients, and mentor team members.