Data Scientist (Privacy)

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 ne…

About UnilabsUnilabs, headquartered in Geneva and a prominent member of the A.P. Moller Group, stands as one of Europe's foremost medical diagnostics companies. We provide an extensive array of laboratory, pathology, genetics, and imaging services to patients in 14 countries. With a strong commitment to innovation, we invest significantly in cutting-edge technology, state-of-the-art equipment, and our dedicated workforce. Our digital technologies enhance operations in our laboratories and imaging centers, positively impacting the lives of nearly 100 million individuals annually.About the RoleAs a Data Privacy Specialist at Unilabs, you will play a pivotal role in managing and enhancing our privacy operating model. Collaborating with business and technology teams, you will embed privacy-by-design principles, assess privacy risks, and ensure the compliant handling of personal data across our operations. This is a crucial position within our Centre of Excellence, focusing on French-speaking countries.Key ResponsibilitiesProvide expert guidance on GDPR and local privacy regulations, translating legal requirements into effective, practical solutions.Manage and refine core privacy governance frameworks, including policies, standards, templates, notices, and guidance materials.Maintain and oversee Records of Processing Activities (RoPA) alongside the broader processing inventory.Lead and coordinate Data Protection Impact Assessments (DPIAs) and Legitimate Interest Assessments (LIAs), ensuring privacy-by-design and default in relevant projects, system modifications, and AI/automation initiatives.Collaborate with Procurement and IT to conduct vendor and international transfer evaluations (due diligence, Third Party Risk Management, Transfer Impact Assessments, Standard Contractual Clauses).Facilitate incident and request management (DSARs, complaints, personal data breaches), ensuring comprehensive documentation, reporting, and remediation efforts.Monitor, analyze, and report on privacy metrics and risks, driving remediation strategies to completion.Foster a culture of privacy through training programs, awareness campaigns, and direct coaching.Coordinate and empower Local Data Protection Coordinators and Privacy Champions across various sites.Remain updated on regulatory changes and assist in audits and certifications (e.g., ISO 27001) as required.Support the DPO with strategic guidance and company-wide advisement.Oversee daily data privacy operations within French-speaking Unilabs entities, assisting in managing data breaches, Data Subject Access Requests (DSARs), RoPA, and other pertinent assessments with local business leaders and the legal team.Reporting Structure & StakeholdersReports to: Group Data Protection Officer.Key collaborators: Group & local Legal, Information Security, IT, Procurement/Sourcing, Local Data Protection Coordinators, and business leadership.RequirementsWhat You BringA minimum of 5–7 years of hands-on experience in data protection and privacy, preferably within a regulated environment (e.g., healthcare).

About UsAt Perk, previously known as TravelPerk, we have developed a cutting-edge platform dedicated to transforming travel and spend management. Our innovative tools automate a wide array of tasks, from travel bookings to expense management and invoice processing, effectively reducing the time-consuming manual work that hampers productivity. We aim to eliminate the shadow work that drains hours from employees, negatively impacts morale, and stifles innovation, thereby allowing them to focus on what truly matters.Trusted by over 10,000 organizations globally, including industry leaders such as Wise, On Running, Breitling, and Fabletics, we are addressing the staggering issue of lost productivity, which costs companies a staggering $1.7 trillion annually.Founded in 2015, Perk has rapidly evolved into a global enterprise with a diverse team of over 1,800 individuals spread across 12 offices, including our main headquarters in London and Boston. We merge innovation with simplicity to revolutionize workplace dynamics and enhance employee satisfaction.At Perk, our core values drive us: ownership, delivering a 7-star experience, and teamwork. We cherish curiosity, purpose, and growth mindset, empowering our team members to realize their full potential. Our talent acquisition team comprises leading experts from the travel and SaaS sectors across more than 70 countries. If you are passionate about making a tangible impact and reshaping workplace experiences for millions, we would be thrilled to have you join us.For more information, visit www.perk.com.

About the RoleAt SumUp, our mission is to empower small businesses globally by supplying an extensive array of simple, affordable business tools designed to help them start, manage, and expand their operations. The lending division at SumUp is a well-established entity with a solid foundation in credit risk management. Our core models and decision-making frameworks are robust and operational; as our portfolio expands, we face the challenge of safely deriving incremental gains from a complex environment where minor changes carry significant implications. As a Senior Data Scientist, you will be actively involved in daily lending decisions, enhancing our capacity to improve existing processes, mitigate operational risks, and ensure sustainable reliability as we venture into new markets. You will collaborate within the Credit Risk Analytics (CRA) team, a streamlined group dedicated to the modeling and analytics that support our global lending portfolio.

Join Scopely as a Senior Data Scientist within our Monopoly GO! game team, based in the vibrant city of Barcelona. This role offers the flexibility of hybrid work arrangements or the option to work remotely from Spain or Portugal. At Scopely, we are passionate about what we do and strive to inspire play every day. Our global team of gaming enthusiasts is dedicated to developing, publishing, and innovating within the mobile gaming industry, connecting millions of players worldwide. Monopoly GO! is not just a game; it's a global phenomenon and a flagship franchise that has established itself as Scopely’s largest title, enjoyed by millions of players. Our team, spread across EMEA and the US, is committed to crafting captivating new experiences. We seek a rare blend of technical expertise and product insight to bridge the gap between complex data and player engagement.

Join Delivery Hero as a Senior Data Scientist in vibrant Barcelona, where you will play a crucial role in leveraging data to drive strategic decisions and enhance our services. You will be responsible for analyzing complex datasets, developing algorithms, and providing actionable insights to improve our operational efficiency and customer experience.

Role overview The Data Scientist role at NielsenIQ in Barcelona centers on extracting insights from large and complex data sets. The position involves collaborating with teams across the company to inform and support business strategy through thoughtful data analysis. Key responsibilities Analyze extensive data sets to identify trends and actionable insights Work alongside colleagues from various departments to address business needs Contribute to projects that guide strategic decisions through data-driven findings Requirements Experience working with large, complex data sets Strong analytical and problem-solving skills Ability to collaborate effectively with cross-functional teams

About the RoleJoin us as a Senior Staff Data Scientist at Heetch, where you will play a pivotal role in transforming our marketplace through cutting-edge analytics, experimentation, and machine learning techniques. In this capacity, you will set the strategic direction for data science projects, shape product strategy, and mentor fellow data scientists to enhance our analytical capabilities and impact.As a key technical leader, you will collaborate closely with Product, Engineering, and Operations teams to leverage data for impactful decisions that enhance reliability, foster growth, and elevate user experience across diverse markets.What You’ll Do- Spearhead data science initiatives that have a significant impact across the organization, encompassing experimentation frameworks, machine learning systems, and causal inference methodologies.- Establish best practices and standards for experimentation, modeling, and analytical excellence throughout various teams.- Collaborate with Product and Engineering leadership to pinpoint and prioritize high-value opportunities.- Design and implement scalable models and data products that yield measurable business outcomes.- Provide mentorship and coaching to other data scientists and analysts, empowering them to produce higher-impact contributions.- Articulate insights and recommendations to senior leadership, influencing product and growth strategies.- Participate in the evolution of Heetch’s data platform, ensuring data quality, reliability, and efficiency as we scale.You’ll Thrive In This Role If You- Possess a profound understanding of statistics, experimentation, and causal inference, with practical application skills.- Are proficient in Python, SQL, and contemporary data/machine learning tools.- Have experience in deploying machine learning models into production and assessing their long-term impact on business.- Excel at translating intricate technical findings into actionable business insights.- Are a collaborative leader who guides peers and sets high benchmarks for analytical rigor and influence.- Bring 7+ years of data science experience, with 2–3 years in a staff-level or technical lead role.Nice to Have- Background in marketplace or pricing systems (including supply-demand modeling, matching, or fraud detection).- Experience in leading data science communities or chapters.- Familiarity with MLOps, feature stores, or causal inference frameworks.

Join Veepee's dynamic Data Science team in Barcelona, where you'll be at the forefront of enhancing our cutting-edge recommender systems. As a Senior Data Scientist, you'll design and test innovative algorithms that deliver personalized sales recommendations to millions of users in real-time. Collaborate with a talented team of Machine Learning and Data Engineers to leverage large-scale behavioral and product data, driving engagement and conversion across our platform. Your contributions will directly impact the shopping experience for a vast audience as we scale our offerings to include hundreds of thousands of products.

Join Delivery Hero as a Senior Product Data Scientist in Barcelona, where you will play a pivotal role in shaping our data-driven product strategies. Collaborate with cross-functional teams to analyze complex datasets and derive actionable insights that enhance user experience and drive business growth.

Hudl seeks a Senior Data Scientist to focus on athlete performance analytics. This role is based in either Barcelona or London. Key responsibilities Analyze complex data sets related to athletes and training to identify meaningful patterns and insights. Create data-driven solutions that support athletes and coaches in improving performance. Work closely with cross-functional teams to develop and enhance data products centered on training and performance metrics. Location This position is available in Barcelona, Spain or London, United Kingdom.

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 Veepee as a Lead Data Scientist and be part of a dynamic Data Science Team, where you'll develop, implement, and maintain cutting-edge machine learning algorithms. Your primary focus will enhance our price recommendation system—a vital initiative aimed at maximizing margin per visitor. Additionally, you'll engage in key projects involving demand forecasting, product recommendations, generative AI pipelines, and image recognition, all within a collaborative and innovative environment spread across Paris, Barcelona, and Brussels.

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

Role overview Delivery Hero SE is hiring a Junior Product Data Scientist for the Q-Commerce team in Barcelona. The focus of this role is to develop data-driven solutions that influence and improve the company’s product offerings. What you will do Collaborate with teams from different functions to analyze both product and business data Spot trends and patterns that guide product decisions Produce insights that support important business initiatives Take part in projects aimed at increasing the impact of Q-Commerce products Location This position is located in Barcelona.

Join our dynamic Quick Commerce team as a Data Scientist and help elevate the customer journey by redefining the quick commerce landscape. Your expertise will be fundamental in developing scalable technologies that enhance our non-food offerings, penetrating new market segments and driving substantial revenue growth.As part of our innovative Quick Commerce Team, you will play a pivotal role in establishing Delivery Hero as the premier platform for diverse products, enabling us to accelerate our growth and deliver unparalleled value to customers worldwide.We are creating an AI-driven engine that simplifies the process for vendors to upload and manage their catalogs effortlessly on our platform. Collaborating closely with Data Engineers and Software Engineers, you will design, construct, and implement machine learning models aimed at automating content creation and optimizing product assortment.This role is tailored for individuals with a robust foundation in applied machine learning, particularly in the realm of Computer Vision, who are eager to develop a dependable and scalable image recognition system. You will be tasked with formulating hypotheses, validating model accuracy, and bringing machine learning-powered services to life that accurately recognize and categorize product images, thereby facilitating real business impact.If you possess strong coding skills, a problem-solving mindset, and thrive on tackling complex, high-scale applied machine learning challenges, we invite you to connect with us.Key Responsibilities:Experiment and deploy AI/ML models to automate image recognition of products at scale.Conduct experiments: formulate hypotheses, validate model performance, analyze business impact, and convert insights into production-ready models.Develop ML models to intelligently recognize products from images, extracting key details such as barcodes and names, and assisting with product categorization.Stay abreast of advancements in state-of-the-art models (e.g., NLP, deep learning, computer vision, classification, LLMs) to identify the best solutions for our needs.Collaborate closely with Machine Learning Engineers and Software Engineers to ensure that our solutions are scalable, reliable, and efficient in production environments.Contribute to the long-term vision for product image recognition while achieving short-term objectives that generate measurable business impact.

Role overview The Senior Specialist in Data Science & AI for Digital & IT at Jobs for Humanity will be based at Barcelona Gran Vía. This role focuses on applying data science and artificial intelligence to enhance digital and IT solutions that benefit the community. Key responsibilities Use data science and AI knowledge to drive projects that make a tangible difference for the community Collaborate with colleagues across various teams to design and develop new digital and IT solutions Contribute to the improvement of tools and processes, supporting better operations and customer service Collaboration This position requires frequent work with cross-functional teams. The goal is to deliver solutions that increase both operational efficiency and the quality of customer experience.

Join us on our mission to revolutionize banking for everyone! At Monzo, we're transforming the financial landscape by simplifying banking and making it accessible. As a Lead Data Scientist in our Barcelona office, you will play a pivotal role in enhancing user engagement and shaping the future of banking. With over 11 million customers in the UK, our commitment to transparency and user satisfaction drives our innovation. You'll leverage real-time analytics to empower decision-making across the organization and contribute to a culture that prioritizes data-driven strategies. This is your chance to be part of a dynamic team that is dedicated to creating a bank that customers truly cherish.

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