Top Artificial Intelligence Jobs in Warsaw

Leads a clinical data science team supporting pharmaceutical development, regulatory submissions, and inspection readiness. Oversees statistical and machine learning analyses using clinical trial, biomarker, real-world, and external data. Sets analytical strategy, ensures traceable and submission-ready datasets and outputs, manages vendors and resources, partners cross-functionally with global regulatory teams, and develops direct reports and broader team capabilities.

Leads quantitative clinical pharmacology and pharmacometrics strategy across global drug development programs. Plans and oversees clinical pharmacology studies, PK/PD analyses, modeling, simulations, regulatory submissions, and lifecycle management. Partners with clinical, statistical, regulatory, and data science teams; represents the function with regulatory agencies; mentors staff; supports due diligence; and drives infrastructure, innovation, and best-practice initiatives.

Senior Clinical Data Scientist supporting pharmaceutical clinical development through statistical analysis, data interpretation, visualization, and decision-support insights. The role develops analysis-ready datasets and reproducible workflows using clinical trial, biomarker, real-world, and other data sources. It partners with cross-functional study teams, applies AI/ML and automation, ensures regulatory compliance and traceability, reviews analytical deliverables, identifies data risks, and supports standards, process improvements, and junior team development.

Leads operational excellence and process design across Global Program Teams and Research and Development functions. Evaluates current-state processes, designs scalable future-state workflows, identifies automation and AI opportunities, develops user-friendly documentation and toolkits, and partners with technology, enablement, and functional teams on pilots, adoption, governance, and continuous improvement. Tracks process performance indicators and builds internal process design capability.

Drive complex cybersecurity sales opportunities across Poland’s public sector. Build and manage executive-level relationships, identify new business, expand existing accounts, develop account strategies, lead virtual internal teams, present value propositions, and consistently achieve sales quotas. The role requires strong public-sector technology sales experience, technical solution-selling ability, Polish and English fluency, and effective opportunity forecasting.

Leads clinical data science strategy, delivery, and people development across pharmaceutical clinical development programs. Oversees quantitative analyses using clinical, biomarker, real-world, and high-dimensional data; guides statistical, machine learning, simulation, and visualization methods; and ensures analysis-ready, traceable, reproducible, submission-ready outputs. Partners with clinical, regulatory, data management, pharmacovigilance, programming, technology, and external teams. Supports health authority interactions, regulatory submissions, inspection readiness, resource planning, risk mitigation, standards, automation, and capability building.

Manages clinical data science activities supporting pharmaceutical development studies. Performs exploratory analyses, visualization, quantitative assessments, data review, and interpretation across clinical, biomarker, real-world, and other data sources. Develops analysis-ready datasets, reproducible workflows, specifications, and submission-ready deliverables using statistical, machine learning, automation, and advanced analytics methods. Collaborates with cross-functional study teams, communicates data and analytical risks, and supports regulatory-compliant, traceable, high-quality decision-making.

Regional Sales Engineer responsible for serving Polish customers and prospects, demonstrating cybersecurity solutions, explaining complex security challenges, and acting as the technical bridge between sales, marketing, support, engineering, and customers. The role requires expertise in endpoint and network security, strong presentation skills, English and Polish fluency, AI technology experience, and the ability to travel. Bonus experience includes malware analysis, threat intelligence, scripting, cloud platforms, virtualization, and security certifications.

Assess and manage cybersecurity risks across AI systems, models, data pipelines, and supporting environments. Conduct AI security assessments, architecture reviews, threat modeling, and risk assessments; define lifecycle controls, standards, and guardrails; and support governance, monitoring, incident response, and remediation. The consultant will advise financial services clients on secure AI adoption while collaborating with security, data, engineering, architecture, risk, and business stakeholders. The role requires a one-year relocation to Qatar.

Lead clinical data science and statistical analytics across pharmaceutical development studies. Design analyses using clinical, biomarker, real-world, and external data; oversee partners; define regulated, submission-ready data flows; apply statistics, machine learning, simulation, and visualization; manage analytical risks; mentor colleagues; and advance reproducible, automated, AI-enabled clinical data science practices.

Leads the establishment, growth, and operational maturity of Takeda’s Data and Quantitative Sciences organization in Poland. Oversees workforce strategy, recruiting, onboarding, training, talent development, organizational effectiveness, strategic initiatives, change management, governance, and site leadership. Partners with global DQS leaders, HR, talent acquisition, and Poland GCC stakeholders to scale capabilities, improve delivery excellence, manage risks, and align local operations with global R&D priorities across a complex matrix environment.

Manage full-cycle technical recruiting for Engineering, Product, Security, UX, and R&D roles. Partner with hiring leaders on role definition, structured interviews, sourcing strategy, market research, candidate assessment, pipeline management, and offer negotiations. Build diverse talent pipelines, use recruiting data to guide decisions, maintain accurate Greenhouse documentation, deliver an inclusive candidate experience, and improve recruiting practices through responsible AI use and shared resources.

Manage full-cycle recruiting for go-to-market roles across sales, marketing, customer success, professional services, and related teams. Partner with hiring leaders, build diverse talent pipelines, conduct structured assessments, use market and funnel data to guide hiring, manage candidate experiences, negotiate offers, and maintain recruiting documentation. The role also involves improving recruiting practices, responsibly using AI, and advising stakeholders in a globally distributed, remote-first environment.

Supports global IT procurement through contract management, supplier performance analysis, negotiation preparation, sourcing strategy, KPI reporting, and AI-enabled process improvement. Collaborates with digital services, Finance, and Legal teams while using analytical tools to identify opportunities and support decisions. The six-month paid internship offers exposure to global IT sourcing and cross-functional business operations.

Leads a Warsaw-based team of 8–10 research professionals delivering market intelligence and research for consulting engagements and business development across Europe and IMEA. Responsibilities include research quality oversight, stakeholder management, workload allocation, people leadership, process improvement, and responsible adoption of AI-enabled research tools. The role also contributes to global Knowledge Services initiatives and develops research methodologies, team capabilities, and operational effectiveness.

Develop and validate Python-based AI and statistical programming solutions for clinical trial data analysis and reporting. Collaborate with data scientists and statisticians, build and maintain knowledge graphs, use AWS and other cloud technologies, ensure regulatory compliance, document processes and outputs, and review analysis datasets and final reports for accuracy.

Leads IT engagement, service delivery, governance, budgets, vendors, and project portfolios across 13 countries. Partners with regional and global business leaders to align IT strategy, ensure SLA compliance, manage escalations, drive standardization and automation, and deliver technology rollouts. The role also supports AI adoption, cost optimization, security compliance, and continuous improvement while overseeing regional IT investments and employee satisfaction.

Leads AI platform experience and enterprise adoption by creating reusable blueprints, starter kits, reference architectures, and developer interfaces. Provides technical consulting, evaluates use cases, mentors engineering communities, and translates developer feedback into platform roadmaps. Establishes software delivery standards incorporating responsible AI, security, compliance, and GxP validation. Partners with product, security, quality, and business stakeholders to promote AI offerings and improve platform adoption.

Lead enterprise HR transformation engagements using SAP SuccessFactors and SmartRecruiters. Serve as the primary client contact throughout implementation, mapping business processes, configuring solutions, leading workshops and root-cause analysis, managing delivery through go-live, and advising on AI-powered HR automation. Mentor distributed consultants and partners, manage senior stakeholders, and support strategic planning, change management, and adoption across large international organizations.

Leads Fortrea’s enterprise Data and AI product strategy, portfolio, roadmap, delivery, investment prioritization, adoption, and value realization. Manages Product Managers and partners with Engineering, Data, AI, Architecture, Security, Finance, and executive stakeholders to deliver measurable business outcomes. Establishes product governance, operating models, funding priorities, success metrics, and continuous improvement while driving innovation and organizational capability development.

Leads finance automation and digital transformation initiatives from process discovery and requirements gathering through implementation and value realization. Identifies automation and AI opportunities, maps processes, develops business cases, supports solution design, and coordinates delivery with Finance, IT, Compliance, Controls, developers, and vendors. Analyzes operational data, manages competing initiatives, ensures governance and audit compliance, and drives stakeholder adoption of new solutions.

Conducts outcome-based regulatory testing and assurance for Private Wealth Management Operations. Translates regulatory and business requirements into testing methodologies, analyzes results, identifies control improvements, and modernizes testing through data, AI, and BI capabilities. The role reports insights to senior leadership and collaborates with Legal, Compliance, Operations, Engineering, and business teams while independently managing deliverables and supporting quality oversight.

Analyze and improve European transport and warehouse performance through dashboards, root-cause analysis, scenario modeling, cost optimization, and supply chain visibility tools. The role partners with logistics operations, supports AI and machine learning models, benchmarks carriers and 3PLs, develops cost controls, and leads Lean/Six Sigma continuous improvement initiatives. It requires expertise in logistics analytics, regulated chemical transportation and warehousing, SAP, TMS, and advanced data tools.

Own Moss’s pricing and deal desk, approving non-standard pricing, discounts, and commercial terms while maintaining governance and deal velocity. Analyze discount discipline, price realization, deal structure, and win rates; develop segment-specific pricing guidance; coach sales representatives; and partner with Customer Success. The role also improves an AI-powered deal desk agent by reviewing its recommendations, correcting errors, and converting recurring exceptions into scalable rules and playbooks.

Lead the AI Quality engineering team while remaining hands-on building evaluation infrastructure, observability tooling, diagnostic systems, datasets, annotation workflows, and CI/CD pipelines for production AI agents. Run experiments across prompts, models, routing, caching, and agent harnesses to improve quality, latency, and cost. Partner with AI Core engineering and manage technical direction and team priorities.