Top Data Science Jobs in Spain

Design, deliver, and continuously improve scalable production AI solutions using LLMs, RAG, agentic AI, machine learning, and document intelligence. Build cloud-native systems on Azure using software engineering, architecture, DevOps, and MLOps practices. Own AI platforms and models across deployment, monitoring, security, governance, and optimization. Lead technical initiatives, collaborate with product and business teams, mentor engineers, and translate business needs into measurable outcomes.

Leads an international data science and AI team of up to eight members focused on commercial analytics and AI accelerators. Owns demand intake, prioritization, product strategy, model and data product delivery, and enterprise-scale ML/AI platform development. Partners with commercial, marketing, finance, and brand leaders to translate advanced analytics into business recommendations, revenue growth, and resource optimization. Requires executive communication, team-building, product management, and hands-on expertise in ML, LLMs, agentic workflows, cloud deployment, and pharma or healthcare analytics.

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.

Drive development and deployment of AI solutions, translating business needs into product requirements, managing backlogs, and coordinating cross-functional teams.

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.

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

Lead end-to-end ML product roadmaps and initiatives (e.g., Attachment Matcher, Transaction Categorizer). Collaborate with data scientists, engineers, and stakeholders to define, deliver, and monitor ML solutions that drive measurable business value for SMEs across Qonto's platform.

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.

Fully funded three-year postdoctoral fellowship focused on developing and improving scientific services for research infrastructures. Fellows conduct technology-development projects aligned with EMBL research areas, receive training in infrastructure operations and management, and build professional networks through secondments and job shadowing. Projects may involve computational science, imaging, optical engineering, robotics, mechanics, biotechnology, or omics. Applicants must hold or have defended a Ph.D. by September 30, 2026, possess relevant STEM training and technology-development experience, and demonstrate strong research potential.

Responsible for driving strategy and execution of marketplace features, optimizing the partner experience, collaborating cross-functionally, and prioritizing projects that align with business goals.

Lead global 24/7 product operations for critical diagnostic systems: define product vision and roadmap, centralize L1 support, own major incident and change governance, drive AI and automation for proactive reliability, ensure compliance (GxP, GDPR), and manage cross-functional teams and vendor ecosystem to improve operational stability and performance.

Lead development of air-to-air refueling boom systems from concept through certification. Responsibilities include mechanical and actuation system design, control and avionics integration, supplier supervision, testing/V&V, safety analyses (FMEA/PSSA/SSA), industrialization and in-service support, and applying data science/ML methods to testing and system optimization.

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.

Leads AI and data science projects applying machine learning, geospatial analysis, economic modeling, and predictive analytics to public policy and economic challenges. Responsibilities include designing data pipelines, developing dashboards and models, translating findings into policy recommendations, managing end-to-end workflows, mentoring data scientists, and ensuring code quality and documentation.

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 internship involves setting up data processing pipelines, collaborating with clients, conducting R&D, supporting sales, and understanding product lifecycles in AI for insurance.

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.

Leads hands-on artificial intelligence and machine learning initiatives across Global Markets, from problem definition and experimentation through production deployment and monitoring. Sets technical direction, develops scalable and governed AI solutions, partners with business, engineering, risk and governance teams, and connects technical decisions to commercial outcomes. The role also coaches data scientists and graduates while driving responsible AI delivery in a regulated financial environment.

Build and deploy AI and machine learning solutions for forecasting, pricing, and risk challenges in Global Markets. Develop generative and agentic AI applications on enterprise cloud platforms, taking use cases from experimentation through production. Collaborate with data scientists, engineers, and business stakeholders while contributing to testing, validation, monitoring, governance, and ongoing optimisation. Apply technical expertise and financial markets knowledge to deliver measurable commercial outcomes.