Top Data Science Jobs in Spain

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.

Own Fever’s pricing product vision and roadmap across live entertainment sectors. Define pricing structures, optimization levers, algorithms, experimentation standards, and sector-specific solutions. Partner with data science, engineering, commercial, legal, and marketing teams to evaluate demand, elasticity, pricing fairness, and business outcomes. Serve as the organization’s pricing authority while guiding the development of scalable models, experiments, and optimization capabilities.

Leads international data and AI projects, coordinating technical teams, executives, vendors, procurement, and implementation partners. Responsibilities include project planning, governance, financial and vendor controls, capacity planning, steering committee management, executive communications, and external presentations. The role requires translating data science concepts for C-suite stakeholders and supporting digital transformation, AI initiatives, global rollouts, and target operating model design.

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.

Leads AI literacy and adoption initiatives across R&D, providing clinical and scientific expertise. Partners with stakeholders and subject matter experts to develop accurate, practical AI education, use cases, communications, toolkits, and enablement resources. Translates AI concepts into relevant applications for scientific and clinical audiences, evaluates AI tools and limitations, and supports responsible adoption, cross-functional collaboration, and organizational transformation.

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.

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.

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.

Advise clients on becoming data-driven by assessing data and ML maturity, identifying use cases, and defining implementation roadmaps. Collaborate with data scientists, engineers, and architects on AI solutions, governance, MLOps, and analytics centers of excellence. Support business development, client relationships, conferences, sales meetings, thought leadership, and the growth of the Data & AI consulting practice.

Lead a data science chapter developing and scaling machine learning, Generative AI, and agentic AI solutions for fraud and scams. Guide technical direction, architecture, experimentation, evaluation, deployment, monitoring, responsible AI, and model governance. Partner with product, engineering, MLOps, risk, and business teams while coaching data scientists and strengthening delivery practices in a regulated environment.

Own IT solutions and service coordination for pharmaceutical R&D Data Science teams. Translate scientific requirements into scalable applications, platforms, pipelines, and cloud architectures while coordinating infrastructure, security, data, AI, vendors, and support teams. Manage solution lifecycles from ideation through production, ensure GxP, security, compliance, and data integrity standards, prioritize demand, track KPIs, and enable bioinformatics, omics, modeling, advanced analytics, and AI/ML initiatives.

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.

Lead discovery, design and delivery of Big Data and AI products for internal Kyivstar teams. Engage stakeholders, define vision, prioritize roadmaps, manage PoCs/MVPs to production, coordinate data and engineering teams, run pilots and measure business impact to ensure solutions create measurable value.

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.

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.

Work with clients to design and deliver software and technical solutions across fullstack, backend, data, cloud, AI, and DevOps. Collaborate in teams, shape products, and drive implementations while growing professionally with mentorship and coaching.

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.

Own data science projects from business questions through customer-facing AI products. Build, evaluate, deploy, and maintain machine learning models; advise internal teams; research advanced AI applications; support important data domains; and collaborate with stakeholders to assess production readiness. The role requires Python-based machine learning development, cloud orchestration, generative AI experience, production deployment experience, and strong communication skills.

As an AI Product Manager, you will lead the AI product development lifecycle, collaborate with teams, and align AI technologies with user needs.

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.

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.

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.