Research Scientist – Generative AI & Applied Research

NielsenIQ is seeking a Research Scientist specializing in Generative AI and Applied Research to join the team in Valladolid. This position centers on building advanced AI models that transform data into actionable insights. Role overview The Research Scientist will contribute to new research directions, supporting the development of AI-driven solutions tailo…

NielsenIQ is hiring a Research Scientist in Madrid to focus on Generative AI and applied research. This position is dedicated to pushing AI capabilities further by conducting hands-on research and building new models that address practical challenges. What you will do Advance generative AI through original research and experimentation Develop and refine models for real-world applications Work closely with colleagues from different backgrounds to drive progress in applied AI Collaboration This role involves working with a multidisciplinary team. Expect regular collaboration with experts in other fields to ensure that new AI solutions are grounded in practical needs and can be effectively implemented.

Role overview This Research Scientist position at NielsenIQ focuses on Generative AI and applied research, based in Barcelona. The role leads projects that apply advanced AI techniques to deliver research results with real-world impact. Work centers on designing and implementing AI solutions that help advance industry knowledge and improve NielsenIQ’s products. Collaboration and impact In this role, collaboration is key. The Research Scientist works closely with a team of researchers and engineers, exploring new applications for AI technologies. The group aims to expand the possibilities of AI and strengthen the value of NielsenIQ’s offerings through innovative research and development.

About Axiomatic AI Axiomatic AI develops AI systems grounded in scientific rigor. By combining deep learning, formal logic, and physics-based modeling, the team builds interpretable and verifiable AI that supports human researchers in scientific and engineering work. Mission The company is working toward a 30× improvement in the speed, accessibility, and cost of semiconductor and photonic hardware development by 2030. The goal: transform hardware design and simulation, moving innovations from research into real-world applications. Role Overview: AI Research Scientist – Scientific Reasoning This position centers on developing reliable and trustworthy AI for scientific and engineering domains. The role involves designing verification pipelines, analyzing and curating data, benchmarking systematically, and diagnosing design issues to recommend improvements. Collaboration is key: the team includes Mathematicians, AI Engineers, Software Engineers, Lean4 developers, Physicists, and other AI scientists. What You Will Do Project Contribution and Technical Execution: Design and implement formalization and validation strategies for scientific applications. Innovation and Learning: Stay current with new research and technologies, integrating advances to strengthen product impact. Cross-Team Collaboration: Work closely with AI and development teams to integrate solutions, encourage open communication, and support technical quality. Knowledge Sharing: Share insights and best practices to support team learning and growth. Location Barcelona, Spain

We invite you to submit your CV in English, including your level of English proficiency.Mindrift is at the forefront of connecting experts with project-based AI opportunities for top-tier technology companies, dedicated to testing, evaluating, and enhancing AI systems. Note that participation is project-based and does not imply permanent employment.Project OverviewEach project presents unique challenges, and contributors may be tasked with:Designing innovative computational physics problems that reflect authentic physics research workflows;Creating problems that necessitate Python programming solutions (utilizing Numpy, SciPy, Sympy);Ensuring that problems are computationally intensive, designed to be unsolvable manually within practical timeframes (days/weeks);Formulating problems that require complex reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics;Constructing problems based on real research questions or practical applications from physics;Validating solutions using Python alongside established physics simulation libraries;Providing clear documentation of problem statements and verified correct answers.Ideal Candidate ProfileThis role is well-suited for quantum researchers proficient in Python and open to part-time, non-permanent projects. The ideal candidates will possess:A degree in Physics (Theoretical, Experimental, or Computational) or a related field;Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or any relevant programming language is acceptable;A minimum of 2 years of relevant professional experience, including applied, research, or teaching roles;Experience with numerical simulation methodologies;The ability to construct problems that reflect real-world physics research scenarios;Creative problem-solving skills across various physics domains;Familiarity with physics modeling and approximation techniques;Strong command of written English (C1+ level).Application ProcessApply → Pass qualifications → Join a project → Complete tasks → Get compensatedProject CommitmentThe estimated workload for this project ranges from 10 to 20 hours weekly during active phases, based on project requirements. This is an estimate, not a guaranteed workload.CompensationContributors can earn up to $29 per hour, contingent upon their level of expertise and contribution pace. Compensation may differ across projects based on their scope, complexity, and required skills. Please note that other projects may offer varying earning levels based on specific requirements.

Join us at SpotLab as we tackle the challenges in healthcare through the innovative application of digital transformation and Artificial Intelligence. Our mission is to enhance patient care and reduce healthcare costs by leveraging advanced AI technologies.While many medical fields are reaping the benefits of AI, areas like hematology, infectious diseases, and neglected tropical diseases still lag behind. At SpotLab, we are dedicated to bridging this gap.As an internationally recognized start-up, we have received over 10 awards, including the prestigious Seal of Excellence from the European Union, reflecting our commitment to groundbreaking innovations with significant impact. Our diverse team comprises developers, engineers, medical professionals, and business strategists who collaborate to drive progress with gender parity.We are seeking a full-time Artificial Intelligence Research Scientist to spearhead the development, training, and deployment of multi-modal AI models focused on diagnostics and clinical research.

Please submit your CV in English and indicate your English proficiency level. This freelance, project-based contract connects data scientists with AI assignments for top technology companies. The work centers on designing and validating computational challenges that mirror real-world analytics in industries such as telecom, finance, government, e-commerce, and healthcare. This is not a permanent position. Key Responsibilities Design data science problems that reflect authentic analytical workflows and business scenarios, including customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency improvements. Develop computationally intensive challenges that require Python programming, using libraries like Pandas, Numpy, Scipy, Sklearn, Statsmodels, Matplotlib, and Seaborn. Write tasks involving advanced reasoning in data processing, statistical analysis, feature engineering, predictive modeling, and extracting actionable insights. Ensure all problems are deterministic and reproducible, using fixed seeds for any random elements. Design end-to-end projects spanning the full data science lifecycle: data ingestion, cleaning, exploratory data analysis (EDA), modeling, validation, and deployment considerations. Incorporate big data processing elements that require scalable computational solutions. Validate solutions in Python with standard data science libraries and statistical techniques. Document each challenge clearly within a business context and provide verified, correct answers. Location This role is remote and based in València, Valencian Community, Spain.

Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focusing on testing, evaluating, and enhancing AI systems. This role is project-based and does not offer permanent employment.Opportunity OverviewEach project presents distinct tasks, which may include:Crafting original computational physics problems that emulate authentic physics research workflows;Formulating problems that necessitate Python programming for resolution (utilizing Numpy, SciPy, Sympy);Ensuring challenges are computationally intensive, requiring more than just manual solutions within reasonable timeframes (days/weeks);Designing problems that demand intricate reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics;Utilizing real research challenges or practical applications from the field of physics as the foundation for problems;Validating solutions through Python and standard physics simulation libraries;Providing clear documentation of problem statements along with verified correct answers.Ideal Candidate ProfileThis opportunity is well-suited for physicists with Python expertise who are open to part-time, non-permanent projects. Preferred qualifications include:A degree in Physics (Theoretical, Experimental, or Computational) or related disciplines;Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, and other domain-specific libraries is also acceptable;A minimum of 2 years of professional experience, including applied, research, or teaching roles;Experience with numerical simulation techniques;Capability to design problems that reflect actual physics research workflows;Inventive problem design across various physics domains;Understanding of physics modeling and approximation strategies;Strong written English skills (C1 or above).Application ProcessApply → Pass qualifications → Participate in a project → Complete assigned tasks → Receive payment.Project CommitmentTasks are anticipated to require approximately 10–20 hours per week during active phases, based on project needs. This is an estimate and not a guaranteed workload, applicable only during active project periods.Compensation DetailsContributors may earn up to $29 per hour, contingent upon their level of expertise and contribution pace. Note that compensation may vary across projects depending on their scope, complexity, and required skill sets.

Please submit your CV in English along with your English proficiency level.Mindrift connects talented specialists with project-based AI opportunities at leading technology firms, primarily focused on testing, assessing, and enhancing AI systems. Please note that this is project-based participation and not permanent employment.Role OverviewEach project presents unique challenges, and contributors may be tasked with:Designing original materials engineering scenarios that replicate real-world engineering workflows;Creating computational problems that require Python programming for solving engineering calculations and simulations;Ensuring problems are computationally intensive, necessitating numerical methods or iterative solutions;Developing challenges involving system design, optimization, and analytical processes;Formulating problems rooted in genuine research challenges or practical applications in engineering;Validating solutions using Python with standard engineering libraries;Clearly documenting problem statements and providing verified, accurate answers.Candidate ProfileThis opportunity is ideal for material scientists and engineers proficient in Python who are open to part-time, non-permanent projects. The ideal candidates will possess:A degree in Material Science or related disciplines;Proficiency in Python for numerical validation, with familiarity in MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or other domain-specific libraries considered equivalent;A minimum of 2 years of professional experience, applicable in applied research or teaching;Knowledge of practical engineering constraints and methodologies;Excellent written English skills (C1 or higher).Process OverviewApplication → Qualification Assessment → Project Assignment → Task Completion → CompensationProject Time CommitmentFor this role, project tasks are estimated to require 10–20 hours per week during active phases, based on specific project needs. This is an estimate and does not guarantee a fixed workload.CompensationContributors can earn up to $29 per hour, depending on their expertise and contribution level. Compensation may vary by project based on scope, complexity, and required skills. Please note that other projects on the platform may have different earning potentials.

Please submit your CV in English and include your English proficiency level. toloka-ai, in partnership with Mindrift, connects material science experts to project-based AI work for major technology companies. These freelance roles involve testing, evaluating, and improving AI systems. All work is project-based and does not constitute permanent employment. Key Responsibilities Design original materials engineering problems that mirror real-world engineering workflows Create challenges that require Python programming for calculations or simulations Develop computationally intensive tasks using numerical methods or iterative approaches Formulate problems centered on system design, optimization, and analysis Incorporate real research questions or practical engineering scenarios into problem sets Validate solutions with Python and recognized engineering libraries Document problem statements clearly and provide verified solutions Requirements Degree in Material Science or a closely related field Strong Python skills for numerical validation (experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar libraries is a plus) Minimum 2 years of professional experience, ideally in applied research or teaching Solid grasp of engineering constraints and practical approximations Excellent written English (C1 level or above) How Projects Work Submit an application Meet the required qualifications Join a project Complete assigned tasks Receive compensation Time Commitment During active project phases, tasks typically require 10 to 20 hours per week. Workload may fluctuate based on project needs. Compensation Contributors can earn up to $29 per hour, depending on project complexity, expertise, and individual pace. Rates may vary between projects on the platform. Location: Remote , València, Valencian Community, Spain

Join T-Systems Iberia as a Data Scientist specializing in AI and Generative AI technologies. In this role, you will leverage your expertise in data analysis and machine learning to develop innovative solutions that drive business value. Your contributions will help enhance our AI capabilities and foster a data-driven culture within the organization.

Who We AreHelsing is a pioneering defense AI company dedicated to safeguarding democratic values. Our mission centers on achieving technological leadership, enabling open societies to make independent decisions and uphold their ethical standards.As advocates for democracy, we recognize our unique responsibility in the thoughtful advancement and application of powerful technologies such as AI. We take this responsibility seriously.Our ambitious team comprises engineers, AI experts, and customer-oriented program managers. We seek mission-driven individuals to join our European teams and leverage their skills to tackle the most intricate and impactful challenges. Our culture is open and transparent, encouraging healthy discussions on the role of technology in defense, its advantages, and ethical considerations.The RoleAt Helsing, we provide AI-driven capabilities and foundational technologies that empower machines to enhance human decision-making. You will have a unique opportunity to develop AI capabilities in a challenging sector where high generalization needs to meet hardware constraints and real-world resilience.As part of a team dedicated to pushing the limits of autonomous robotics through reinforcement learning, your focus will be on designing, training, and deploying RL-based controllers for robots in complex, unstructured, and dynamic real-world environments—areas where traditional control strategies fall short. This role involves enabling robots to perceive and comprehend their surroundings by integrating diverse sensory inputs, including vision, to inform robust and adaptive control strategies. You will manage the entire pipeline, from simulation to deployment, ensuring that learned policies are not only robust and efficient but also primed for real-world operations under stringent hardware limitations.

Cint is looking for a Senior Data Scientist in Barcelona with a focus on artificial intelligence and synthetic intelligence. This position centers on building advanced models and algorithms to strengthen data analytics and support market research innovation. Role overview This role involves applying deep expertise in AI and synthetic intelligence to develop solutions that improve how data is analyzed and interpreted. The work directly supports Cint’s goal of advancing the field of market research through technology. What you will do Design and implement sophisticated models and algorithms for data analytics Work with large datasets to extract insights and improve research outcomes Contribute to projects that shape the future of market research at Cint Requirements Strong background in artificial intelligence and synthetic intelligence Experience developing advanced data models and algorithms Ability to work onsite in Barcelona

Join Syngenta Group as a Trait Assessment Scientist, where you will play a pivotal role in developing innovative solutions that advance agricultural research and enhance crop productivity. You will collaborate with a team of dedicated professionals, utilizing cutting-edge technologies to assess and improve plant traits that ensure sustainable farming practices.

At Datavant, we are reshaping the future of healthcare through our innovative data platform, recognized as the global leader in health data exchange. Our mission is to empower every healthcare decision with the most relevant data, delivered at the optimal time and in a user-friendly format.Our platform is fueled by the largest and most diverse health data network in the United States, ensuring that information is not only secure but also accessible and actionable to enhance health outcomes. Trusted by leading life sciences companies and government agencies, Datavant is at the forefront of healthcare innovation.Joining Datavant means becoming part of a high-performing, values-oriented team committed to addressing some of healthcare’s most intricate challenges through advanced technology solutions. Our team members bring diverse professional and personal backgrounds, united by a shared vision for transforming healthcare.We are on the lookout for a detail-oriented and passionate Data Scientist (Privacy) to become a key member of our expanding team. This role involves analyzing client information to assess re-identification risks to patients.As a member of the Privacy Science team within our Privacy Solutions division, you will play a pivotal role in safeguarding patient privacy in today’s data-sharing landscape. Your work will involve analyzing real datasets and conducting cutting-edge research to maintain our industry-leading status, alongside engaging discussions on re-identification risks. You will receive support to enhance your data analysis and coding skills, allowing you to excel in analyzing large health-related datasets.

Join Prosper AI as an AI StrategistLocation: Barcelona (On-site)Type: Full-timeAbout Prosper AIAt Prosper AI, we are revolutionizing healthcare through our innovative AI Phone Agents that provide human-like expertise while drastically cutting costs. Our AI agents streamline administrative tasks such as patient scheduling, claims status checks, and benefit verifications, aiming to eliminate $200 billion in administrative waste, thus allowing healthcare professionals to concentrate more on patient care.About the RoleAs an AI Strategist, you will be pivotal in deploying and optimizing our AI agents across some of the most intricate healthcare organizations globally. You will lead strategic initiatives from configuration to full-scale production, ensuring measurable impacts for our clients. Your insights will help refine our external deployments and internal best practices.Key ResponsibilitiesOversee the complete deployment of AI agents on Prosper AI’s platform for U.S. healthcare clients, including hospitals and clinics.Collaborate with clients and internal teams to map out administrative workflows and pinpoint areas ripe for AI-driven automation.Evaluate deployment performance data to identify challenges and promote continuous improvement.Create and enhance internal playbooks and frameworks to expedite future deployments.Transform complex operational challenges into actionable strategies that connect technology with healthcare operations.Who You AreHolds a Bachelor’s degree or higher in Computer Science, Engineering, Business, Economics, or a related field.Possesses strong analytical skills with the ability to dissect complex processes for AI impact.Demonstrates a passion for the convergence of AI, healthcare, and operations.Thrives in a dynamic startup environment with evolving priorities and significant ownership.Bonus: Familiarity with healthcare workflows, LLMs, automation tools, or enterprise software deployments is a plus.

Join Our Team at FundamentalFundamental is at the forefront of artificial intelligence, redefining enterprise decision-making processes. With a foundation established by alumni from DeepMind, we have created NEXUS – the premier Large Tabular Model (LTM) designed specifically for structured data that influences critical business decisions. Supported by top-tier investors and trusted by Fortune 100 companies, we are unlocking unprecedented value for businesses, empowering them with predictive capabilities.At Fundamental, you will tackle unique technical challenges in developing foundational models, contributing to transformative technology that reshapes decision-making for the world’s largest enterprises. This is a chance to become part of a pioneering company and influence the future of enterprise AI.

Why Join dLocal?At dLocal, we empower some of the largest global companies to seamlessly collect payments across 40 emerging market countries. Our trusted solutions enhance conversion rates and facilitate effortless payment expansion into the world's most dynamic markets. As both a payment processor and a merchant of record in our operational regions, we enable our merchants to thrive in rapidly growing economies.By becoming part of our innovative team, you will collaborate with over 1,000 talented individuals from more than 30 nationalities, cultivating an international career that positively impacts millions of lives every day. We are passionate builders who embrace challenges, prioritize customer satisfaction, and foster an environment where you can excel.Role OverviewWe are in search of a driven and impactful Senior Data Scientist who thrives in an autonomous environment. In this pivotal role, you won’t just perform tasks; you will take ownership of the objectives, methodologies, and implications of your projects. Acting as a strategic data partner, you will leverage state-of-the-art AI tools to accelerate our efforts and tackle complex challenges that significantly influence dLocal's success.What projects will you undertake? You will engage in developing solutions for anomaly detection, forecasting, and payment routing, requiring expertise in unsupervised learning, hybrid time series models, clustering, and reinforcement learning, all while emphasizing clarity and explainability.

About Longtail TechnologiesAt Longtail Technologies, we are pioneering an intelligent decision-streaming platform designed to empower airlines to make informed, real-time decisions. By integrating automation, proprietary algorithms, and live travel data, we assist airlines in optimizing pricing, availability, and product flexibility across countless routes worldwide. Our rapidly expanding team is dedicated to tackling complex, real-world challenges on a global scale. If you thrive on deriving insights from extensive datasets and creating systems that drive strategic decisions, you will fit right in. About the RoleWe seek a Senior Data Scientist to spearhead the enhancement of our elasticity intelligence capabilities. This is a high-impact, greenfield position within our newly formed Synergy Products squad, emphasizing data exploration — investigating newly acquired travel datasets to identify patterns that inform our understanding of demand elasticity. You will operate at the intersection of data analysis, statistical modeling, and product strategy, pinpointing where elasticity insights can yield maximum value for airlines.This role is focused on individual contribution, granting you significant ownership and autonomy from day one, while collaborating closely with our product and engineering teams to translate analytical findings into impactful product solutions. What You’ll CreateYou will design and implement:Exploratory analytical frameworks that reveal elasticity patterns within travel datasetsComprehensive elasticity models grounded in robust statistical methodologiesThorough evaluation frameworks to validate model assumptionsProduction-ready model architectures in collaboration with data engineeringInsightful analytical outputs that guide product and pricing strategies

Join our elite AI Special Forces team at Darwin AI! We are seeking a dynamic and enthusiastic AI Support Specialist who is committed to providing rapid, effective, and high-quality assistance to our clients. If you are passionate about technology and AI, and enjoy tackling challenges head-on, this role is a perfect fit for you.As an AI Support Specialist, you will be instrumental in addressing client inquiries and resolving issues related to their AI agents. You will serve as the frontline for clients needing assistance with technical problems and system integrations. Your ability to troubleshoot effectively and collaborate with teams across Customer Success, Product, and Engineering will ensure that our clients receive exceptional support and maintain a strong relationship with Darwin AI.Your responsibilities will include:Responding to customer inquiries through platforms such as WhatsApp, email, and Slack, ensuring swift responses and high satisfaction rates.Troubleshooting and resolving technical issues, particularly those involving AI behavior, configuration, and API integrations.Monitoring alerts from internal tools and acting upon customer feedback submitted through the Darwin platform.Collaborating closely with Product and Engineering teams to escalate complex issues and contribute to product enhancements.Documenting support activities in our systems to maintain accurate records of issues and solutions.Identifying recurrent issues and assisting in the development of internal documentation and FAQs.Teaming up with Customer Success and Onboarding to provide a seamless customer experience.Auditing AI interactions to discover bugs or areas for improvement.Ensuring that all critical feedback and issues are resolved within agreed service level agreements (SLAs).