Mid/Senior Data Scientist at Arkadium | Lisbon

At Arkadium, we're driven by a passion for creating enjoyable experiences through gaming. For over two decades, we've developed some of the most beloved games around the globe, from the classic Solitaire on Windows to numerous titles available on Arkadium.com, iOS, Android, and major gaming platforms worldwide.As an Evergreen company, our core values—Fierce …

Join inetum2 as a Data Scientist and leverage your analytical skills to drive data-driven decision making. In this role, you will work with large datasets, utilize advanced analytics techniques, and collaborate with cross-functional teams to uncover insights that impact business strategy.

About UsAt Riskified, we empower businesses to drive e-commerce growth by mitigating risk. Our platform is trusted by some of the world's leading brands and publicly traded companies in their online operations. We provide guaranteed protection against chargebacks, combat fraud and policy abuse at scale, and enhance customer retention. Our AI-powered fraud and risk intelligence platform, developed by a dedicated team of e-commerce risk analysts, data scientists, and researchers, analyzes each interaction to deliver real-time decisions and insightful identity-based analytics. We're proud to partner with a diverse range of exceptional companies, including Acer, Gucci, Lorna Jane, and GoPro.We excel in a collaborative environment that fosters innovation and product development that matters. The opportunity to contribute meaningfully drives our passion and purpose at Riskified, making it a fulfilling place to work.About the Role*** A third party will recruit, hire, and employ this position.The Data Science department is integral to our company, adding value through the development of algorithms and production-grade analytical solutions. We utilize advanced techniques such as classification models, NLP, anomaly detection, and deep learning to maximize the value of data. As a Data Scientist, you will engage in the entire project development cycle, implementing end-to-end solutions. This role requires a strong foundation in quantitative and analytical skills, proficiency in statistical modeling and machine learning, and a technical aptitude paired with a passion for problem-solving and driving data-informed decision-making.What You'll Be DoingData Exploration and Preprocessing: Collect, clean, and transform large, complex data sets from diverse sources to ensure data quality and integrity for analysis.Statistical Analysis and Modeling: Utilize statistical methods and mathematical models to uncover patterns, trends, and relationships in data, while developing predictive models.Machine Learning: Create and deploy machine learning algorithms, including classification, regression, clustering, and deep learning techniques, to address business challenges and enhance processes.Feature Engineering: Identify relevant features from structured and unstructured data sources, designing new features to improve model performance.

As a Lead Data Scientist at NielsenIQ, you will spearhead innovative data-driven projects that provide actionable insights to our clients. You will lead a team of talented data scientists and collaborate with cross-functional teams to design and implement advanced analytics solutions that enhance our market understanding.

Arkadium, Inc. has built a reputation over more than two decades for creating games that reach millions of players around the world. The company is known for well-loved titles like Solitaire, available on Arkadium.com as well as iOS, Android, and other platforms. A focus on quality and enjoyment runs through all aspects of its work. Guided by its Evergreen business philosophy, Arkadium operates with three core values: Fierce Drive, Positive Energy, and Living Full Lives. The company remains privately held and founder-led, providing stability and a deep commitment to the craft of game development. Recognition includes awards such as "Happiness Works" (Portugal, 2023–2025), "Crain's Best Places to Work 2022," and "Great Place to Work 2022 and 2023" in New York. Role overview This fixed-term Senior HR Business Partner position covers maternity leave within the People Innovation team. The contract will conclude when the current post-holder returns and will not transition to a permanent role. The Senior HR Business Partner leads recruitment, working closely with hiring managers and senior leaders to drive hiring efforts. Data and metrics will support decision-making and help achieve outcomes. The role also covers a wide range of generalist HR responsibilities, ensuring HR programs run smoothly and communication stays clear across the business. This position serves as the main escalation point for complex personnel or hiring matters, balancing risk, speed, and employee experience. Managing and developing a People Ops Intern is also included in the scope of work. Work location and hybrid model The role is based in Lisbon, Portugal. Arkadium uses a hybrid work model in Portugal, blending remote and in-office work. Onsite attendance is expected one to three times per week.

Role Overview Join ComplyAdvantage as a Data Scientist, where you'll spearhead the development of innovative, data-driven solutions aimed at combatting financial crime on a global scale. Your primary responsibilities will be centered around Research & Development (R&D) and Strategic Initiatives, focusing on pioneering research in machine learning (ML), natural language processing (NLP), and Agentic AI to generate tangible business outcomes. Alongside in-depth R&D, you will also play a crucial advisory role for our Product and Engineering teams, equipping them with the quantitative insights and frameworks vital for scaling impactful, AI-driven functionalities. Key Responsibilities Innovate in R&D: Create high-impact prototypes for financial crime detection utilizing advanced multi-agent systems and retrieval-augmented generation (RAG) architectures based on foundational large language model (LLM) frameworks. Enhance Core Solutions: Collaborate closely with Engineering and Product teams to seamlessly integrate and optimize AI components and frameworks, ensuring they meet standards for reliability, scalability, and ethical performance in production. Assess LLM-based Systems: Contribute to the design and deployment of robust evaluation methodologies for LLM and Agentic AI systems, monitoring critical metrics related to task execution, reasoning accuracy, tool efficacy, and overall dependability. Review Model Context Protocol (MCP): Integrate our AI systems with external data sources and tools while offering engineering implementation recommendations. Understand Data: Cultivate a comprehensive understanding of our current data sources, identifying challenges and proposing improvements. Data Analysis: Employ exploratory data analysis and data mining techniques to uncover actionable insights for product enhancement, including behavioral patterns that can inform and refine agent behavior and prompt engineering strategies. Research & Innovation: Continuously investigate and assess emerging tools, technologies, and best practices in data science, particularly in the dynamic field of Agentic AI, to maintain ComplyAdvantage's leadership position. Cross-Functional Collaboration: Engage effectively with multidisciplinary teams to share best practices, expertise, and inspire innovation, fostering an AI-centric culture throughout the organization. Visualization & Roadmapping: Deliver clear data insights and visualizations that serve as a foundation for new concepts to be integrated into our solutions.

Join GoCardless as a Senior Data Scientist and play a pivotal role in transforming payment intelligence. In this position, you will work at the intersection of data and technology, collaborating with Software Engineers, Product Managers, and Designers to innovate and optimize our payment solutions. You will be responsible for the complete lifecycle of our algorithms, from conception to production-ready deployment, utilizing advanced AI techniques to enhance payment success rates and mitigate fraud. Our tech stack, primarily based on Google Cloud Platform and Vertex AI, allows you to leverage Python, SQL, and BigQuery to deploy robust models at scale.

Arkadium has spent two decades building games enjoyed by millions worldwide. The company’s portfolio spans classics like Solitaire and hundreds of other titles, available on Arkadium.com, iOS, Android, and major platforms. Privately held and founder-led, Arkadium is recognized for its stability and commitment to growth, earning repeated honors such as 'Happiness Works' in Portugal and 'Great Place to Work' in New York. This opening is for a Senior Account Manager on a fixed-term contract to cover maternity leave. The role will conclude when the current post-holder returns and will not become permanent. Role Overview The Senior Account Manager partners with teams across Marketing, Product, Analytics, and Sales to support and grow strategic accounts. The position focuses on nurturing relationships with major digital brands, including USA Today, CNN, and Home Shopping Network. Arkadium values bold thinking, strong execution, positive energy, and determination in its team members. Work Location and Hybrid Schedule This role is based in Lisbon, Portugal, following a hybrid model that blends remote and in-office work. Employees in the Lisbon metropolitan area attend the office one to three times per week. Those living outside Lisbon will follow a different onsite schedule arranged with the team. Flexibility is encouraged to support both collaboration and individual needs. Key Responsibilities Contribute to quarterly and annual revenue and user growth targets Implement and maintain account plans to drive revenue growth for each partner Find new opportunities within existing partnerships to strengthen relationships and increase revenue Support contract renewals and negotiations with current partners Build and maintain strategic relationships with key stakeholders at partner organizations Analyze partner data to identify trends and growth opportunities Stay current on trends in publishing, advertising, and interactive content

Join us at ComplyAdvantage, a premier SaaS provider transforming how fintech companies navigate intricate regulatory environments. Our innovative platform enables compliance and risk management for a diverse range of financial services firms, from burgeoning startups to established enterprises. We are committed to empowering our teams to tackle significant challenges and deliver exceptional value to our customers.Role OverviewAs a Senior Data Scientist, you will spearhead the creation and enhancement of advanced data-driven solutions aimed at detecting and preventing financial crime on a global scale. Your primary focus will be on Research & Development and Strategic Initiatives, dedicating 80% of your time to pioneering research in Machine Learning (ML), Natural Language Processing (NLP), and Agentic AI to generate measurable business impact within 3-6 month timeframes. Alongside conducting in-depth R&D, you will offer expert advisory support and technical leadership to our Product and Engineering teams. By guiding AI Enablement initiatives, you will equip these departments with the quantitative insights and frameworks required to scale impactful AI-driven features while mentoring junior team members.Key ResponsibilitiesLead R&D in GenAI and Agentic AI: Design and prototype innovative solutions for financial crime detection, emphasizing multi-agent systems and RAG architectures based on foundational LLM frameworks.Drive Production Excellence: Collaborate with Engineering and Product leadership to architect and oversee the integration of AI components into core product features. You will set the standards for reliability, scalability, and ethical AI performance, ensuring that research prototypes evolve into robust, production-grade solutions.Establish Evaluation Frameworks: Lead the formulation of comprehensive evaluation methodologies for LLM and Agentic AI systems, defining industry-standard metrics for task completion, reasoning accuracy, and system reliability.Evaluate Model Context Protocol (MCP): Investigate applications to connect our AI systems with external data sources and tools, providing strategic recommendations for engineering implementation.Strategic Data Insights: Conduct advanced exploratory analysis across various data sources to uncover insights that directly inform product development decisions and agent behavior.Research & Innovation: Continuously explore and assess emerging tools and best practices in data science and Agentic AI to maintain ComplyAdvantage's leadership in the field.

Join NielsenIQ as a Principal Data Scientist and lead innovative data-driven initiatives that shape the future of our analytics offerings. We are looking for a visionary who thrives in a collaborative environment and is passionate about leveraging data to drive strategic business decisions.In this role, you will work with cross-functional teams to develop advanced analytical models and solutions that meet the diverse needs of our clients. Your expertise will be crucial in interpreting complex data sets and presenting actionable insights to stakeholders.

Join GoCardless as a Fraud Prevention Data Scientist, where you'll be instrumental in fortifying our payment platform against fraud. Collaborate with a talented team of Engineers and Fraud Analysts to design and implement cutting-edge predictive models that enhance our fraud detection capabilities. Your role will encompass the entire lifecycle of machine learning solutions—from initial feature engineering to deployment in a production environment—aimed at minimizing false positives and streamlining controls. Engage with cross-functional teams to ensure our machine learning products are scalable within our Google Cloud Platform infrastructure, fostering innovation in the fintech landscape while delivering an exceptional customer experience.

Join autodoc3 as a Senior Data Analyst and play a crucial role in analyzing complex datasets to drive strategic business decisions. You will work closely with cross-functional teams to interpret data, create reports, and provide actionable insights that enhance our operations and customer experiences. Your analytical skills will be pivotal in shaping our data-driven initiatives.

Join Altersolutions as a Mid-Level Data Engineer, where you will play a pivotal role in shaping our data architecture and analytics strategy. We are looking for a talented individual who is passionate about data and has a drive to innovate. You will be responsible for designing, developing, and maintaining data pipelines, ensuring data quality, and collaborating with cross-functional teams to leverage data for business insights.

TransPerfect is seeking a Senior AI Research Scientist to join its Lisbon office. This position focuses on advancing artificial intelligence and large language models (LLMs), contributing to the development of future TransPerfect products. Research here moves quickly from concept to real business applications, allowing direct impact on workflows and client solutions. About the AI Research Team The AI Research group at TransPerfect, previously known as Unbabel AI Research, has been central to the company’s progress for more than a decade. The team’s work includes award-winning achievements in machine translation, quality estimation, and language modeling. Their notable projects, such as the COMET and TowerLLM models, drive the GlobalLink platform and have streamlined processes for both clients and internal teams. What you will do Lead research and development efforts in AI and LLM technologies Work closely with a team known for its expertise in NLP and machine learning Translate research outcomes into practical business products and services Impact and Recognition Research from this team has been published at top conferences and shapes products used around the world. AI research at TransPerfect plays a direct role in how language technology supports businesses on a global scale.

Join Inetum, a leading innovator in digital services, where we drive growth and transformation through advanced technology solutions. We are seeking a highly skilled and motivated Senior Data Engineer to become part of our dynamic team. In this role, you will play a critical part in designing, developing, and optimizing data solutions that enhance business intelligence and analytics capabilities.If you are passionate about data, excel in collaborative settings, and relish tackling complex problems, this is your chance to make a significant impact!

TransPerfect is seeking a Senior AI Research Scientist to join its Lisbon office. This role centers on advancing AI and large language model (LLM) research, with a direct link between innovative research and real-world business applications. The work supports the evolution of TransPerfect’s products and services. The Team The TransPerfect AI Research group, formerly known as Unbabel AI Research, has played a key role in the company’s growth for more than a decade. The team’s achievements include award-winning contributions in machine translation, quality estimation, and language modeling. Projects such as COMET and the TowerLLM series have enhanced workflows and strengthened the GlobalLink platform for both clients and internal teams. What You Will Do Lead research and development efforts focused on AI and large language models Collaborate with a team recognized for work presented at major NLP and machine learning conferences Transform research findings into solutions that power TransPerfect’s offerings Contribute to the development of next-generation machine translation and language technologies Location This position is based in Lisbon, Lisboa, Portugal.

About UsAt Riskified, we empower businesses to unlock their ecommerce potential by mitigating risks. Our platform is trusted by some of the world’s leading brands and publicly traded companies to safeguard against chargebacks, combat fraud, and enhance customer loyalty. Our AI-driven fraud and risk intelligence solutions analyze interactions in real-time, offering robust identity insights that help our partners succeed in the competitive online landscape. We proudly collaborate with renowned companies across various industries, including Acer, Gucci, Lorna Jane, GoPro, and many more.We cultivate a collaborative and dynamic work environment, where innovative ideas flourish and meaningful contributions are valued. Our commitment to teamwork and excellence drives us to make a lasting impact in the ecommerce space, making Riskified a workplace of choice.About the Role*** Please note that this position will be recruited, hired, and employed by a third party.We are in search of a skilled and passionate Senior Data Platform Engineer to enhance and maintain our core data platform products, ensuring optimal performance, scalability, and stability. As a data-driven organization, we are committed to managing an increasing influx of data daily.In this role, you will be a vital part of the Data Platform team, responsible for overseeing a large-scale production data platform that serves as the backbone of our products. You will develop self-service tools to enhance platform accessibility for users in our R&D and Analytics departments, and act as a knowledge hub, consulting and sharing your expertise with your colleagues.What You’ll Be DoingLead the development of AI-ready foundations for our data platform, focusing on data quality, contracts, observability, and self-service tools that empower machine learning and AI-driven initiatives.Manage, provision, and monitor various platform products.Enhance the application infrastructure tightly integrated with our Data Platform tools.Provide guidance to development teams and mentor fellow team members.Utilize your creativity to solve complex, high-scale data challenges.Research and evaluate new technologies, starting from POC to deployment.

lastminute.com is looking for a Data Engineer in Lisbon to help strengthen its data infrastructure and analytics. This role focuses on designing, building, and maintaining data pipelines that support business intelligence and decision-making. What you will do Design and implement data pipelines for reliable data flow Maintain and improve systems that deliver accurate, timely data Collaborate with data scientists and analysts to ensure data is accessible and trustworthy Collaboration Work closely with colleagues across data science and analytics teams. Your efforts will help generate insights that inform company strategy. Location This position is based in Lisbon.

Join our dynamic team at Sixt as a Senior Data Governance Engineer, where you will play a pivotal role in shaping our data governance strategy. You will be responsible for establishing data management policies, ensuring compliance, and enhancing data quality across various business units. This is an exciting opportunity to contribute to our innovative projects while collaborating with cross-functional teams.

Join Our JourneyAt Mollie, we believe that businesses deserve seamless finance solutions. Since our inception in 2004, we have been dedicated to simplifying payments and financial management for companies across Europe.With over 250,000 businesses relying on our comprehensive platform, we empower them to manage their finances and achieve growth on their own terms. Our services are designed to be simple, scalable, and tailored to the needs of real businesses.As one of Europe’s rapidly expanding fintech firms, our team of over 900 Mollies operates from 12+ locations. Our success is driven by the talented individuals who make up our team. We thrive on speed, purpose, and a deep commitment to our customers. Whether you’re tackling challenges, creating innovative products, or leveraging AI for smarter workflows, you will enjoy the freedom to innovate and the trust to deliver impactful results.If you’re eager to advance your career, shape the future of fintech, and be part of a dynamic, high-achieving team, we want to hear from you.Your ContributionData is integral to Mollie, informing decisions for over 250 internal users, from Product Managers to Analysts. As a Data Engineer, you will join a pivotal team that manages the infrastructure that supports this data-driven environment. We are currently in the process of enhancing our system, transitioning from managed services to a robust, self-hosted stack that offers greater control and scalability. Our foundation is strong, and we continuously introduce new functionalities to enhance our platform.In this role, you will not only maintain data pipelines but also engineer the platform. Your responsibilities will include migrating our orchestration layer to Kubernetes, implementing stringent data contracts, and developing self-service tools that enable the rest of the organization to operate more efficiently. This hands-on engineering position ensures that your work directly contributes to the reliability and quality of data at Mollie.Your DeliverablesOversee the migration of our governance tools to DataHub on GKE (Kubernetes), enhancing our governance capabilities.Develop and refine self-service tools and CI/CD pipelines, enabling analysts and engineers to independently deploy data models.Improve data observability and quality by implementing data contracts and monitoring tools to identify issues before they affect stakeholders.Create tools and capabilities for efficient data collection, processing, and utilization within the company.Optimize our GCP infrastructure (BigQuery, Pub/Sub, GCS, GKE) for cost efficiency and performance.