Senior Data Scientist

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 al…

Join the Kaizen Gaming Team!At Kaizen Gaming, the innovative force behind Betano, we rank among the largest GameTech companies globally, with a presence in 20 markets. Our mission is to harness cutting-edge technology to deliver an unparalleled experience to the millions of customers who rely on us for their entertainment.Our diverse team comprises over 2,700 Kaizeners from 40+ nationalities across three continents. We take pride in being recognized as one of the Best Workplaces in Europe and are certified as a Great Place to Work across our offices. Here, every day offers unique challenges and opportunities. Are you ready to unlock your potential?Your Role as a GenAI Senior Data ScientistAs a GenAI Senior Data Scientist, you will spearhead our AI initiatives by analyzing data, developing Generative AI applications, and architecting advanced agentic systems. Your responsibilities include selecting optimal large language models (LLMs), conducting prompt engineering, and fine-tuning models to enhance our AI offerings. You will collaborate with cross-functional tech teams to create impactful, production-grade AI solutions. The ideal candidate will possess deep knowledge of LLMs and agentic architectures, along with a proven track record of building and deploying applications in production environments.Key Responsibilities:Translate product requirements into AI-related challenges and identify opportunities for business impact through AI.Analyze data to reveal significant patterns and derive actionable insights.Design architectures for agentic and Generative AI systems.Choose suitable models for specific tasks and optimize their performance.Conduct exploratory data analysis (EDA) and feature engineering to facilitate the modeling process.Implement best practices in model selection and parameter tuning.Execute comparative experiments for model training.Evaluate various potential solutions by analyzing ML metrics.Oversee the complete lifecycle of AI features, from data collection to model design and production optimization.Mentor junior team members, sharing knowledge and leading complex projects.

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.

NielsenIQ is seeking a talented and experienced Principal Data Scientist to join our dynamic team in Lisbon. In this role, you will leverage your expertise in data science to drive innovative solutions and insights that influence strategic business decisions. You will collaborate with cross-functional teams to develop predictive models, analyze complex data sets, and create actionable insights that support our clients in achieving their objectives.

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 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.

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 Drive, Positive Energy, and Living Full Lives—guide our decisions and operations. We are privately held, founder-led, and take pride in being recognized as a top workplace, ensuring a stable yet dynamic growth environment.Our accolades include recognition from 'Happiness Works' for 2023, 2024, and 2025 in Portugal, as well as 'Crain's Best Places to Work 2022' and 'Great Place to Work' in New York for 2022 and 2023!Are you ready to join the Arkadium family? We're excited to hear from you!Position OverviewWe are seeking a passionate Data Scientist interested in exploring AI and gaming to develop practical applications of Generative AI and machine learning across our gaming platforms. In this role, you'll leverage existing Large Language Models (LLMs) and fine-tuning methodologies to demonstrate the potential of our data in enhancing AI models.Your contributions will also include employing traditional machine learning techniques to enrich player experiences, enhance internal tools, and provide actionable insights for product and marketing teams.Collaboration will be key as you work closely with engineers, product managers, and analysts to transform innovative ideas into scalable AI solutions that engage millions of players globally.We welcome applicants from mid-level to senior backgrounds, provided you possess a strong enthusiasm for AI and a desire to innovate and construct impactful systems.Key ResponsibilitiesInvestigate and implement Generative AI solutions utilizing existing LLMs.Experiment with fine-tuning and adapting models for applicable use cases.Employ traditional machine learning techniques to address challenges such as player behavior analysis, recommendation systems, and marketing optimization.Prototype and assess new AI-driven features and tools.Collaborate with cross-functional teams to align business needs with data science solutions.

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.

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 our dynamic team at inetum2 as a Senior Data Analyst, where you will play a crucial role in transforming data into actionable insights. Your expertise will drive decision-making processes and help shape the future strategies of our clients.

Join Altersolutions as a Senior Data Engineer and play a pivotal role in shaping the future of data management. In this dynamic position, you will leverage your expertise to design, develop, and maintain robust data pipelines and architectures, ensuring seamless data flow and accessibility across various platforms. You will collaborate with cross-functional teams to transform data into actionable insights, driving decision-making processes and enhancing business outcomes.

Join our innovative team at inetum2 as a Senior Data Engineer, where you will play a pivotal role in designing and implementing data solutions that drive business insights and enhance decision-making processes. You will leverage your expertise in data architecture, ETL processes, and database management to build robust data pipelines and ensure data integrity across various platforms.

About Indicium AI Indicium AI is a globally recognized consultancy specializing in artificial intelligence. We empower the world’s foremost enterprises to seamlessly integrate AI into their operations at scale. With a proven track record across diverse sectors including Financial Services, Energy & Utilities, Healthcare & Life Sciences, Retail & CPG, and Manufacturing, we provide unparalleled clarity, speed, and capability in unlocking AI-driven value. Supported by a team of over 600 AI specialists across five international offices, we collaborate with premier partners such as Anthropic, Databricks, AWS, OpenAI, and Microsoft to deliver impactful AI solutions swiftly and efficiently. About the Role We are seeking a Senior Data Engineer who will act as the technical lead during client projects, overseeing architectural decisions, managing the delivery of intricate data platforms, and establishing engineering standards throughout engagements. This position demands a blend of advanced engineering expertise and exceptional communication abilities to influence stakeholders, mentor team members, and uphold the highest standards of data platform delivery. Key Responsibilities Architecture & Technical Leadership Champion the comprehensive design and implementation of scalable, production-ready data architectures, including Data Warehouses, Data Lakes, and Lakehouses. Set forth data engineering standards, patterns, and guidelines for the team and client projects. Exercise complete technical independence—propose, challenge, and refine architectural solutions both with clients and internally. Advanced Pipeline Engineering Design, construct, and sustain mission-critical ELT pipelines. Enhance complex data workflows for optimal performance, cost-effectiveness, and long-term sustainability. Infrastructure & Platform Engineering Manage data infrastructure provisioning and lifecycle oversight using Infrastructure as Code (Terraform), ensuring scalability, security, and reliability at an enterprise level. Spearhead cloud architecture strategies across AWS and/or Azure, aligning platform decisions with client objectives and commercial considerations. Governance, Security & Reliability Develop and enforce data governance frameworks, including access policies, data quality standards, lineage, and observability, particularly in complex, regulated environments.

About Indicium AI Indicium AI stands at the forefront of AI innovation, partnering with the world’s leading enterprises to implement AI solutions at scale. As a global consultancy specializing in AI, we possess extensive expertise across diverse sectors including Financial Services, Energy and Utilities, Healthcare and Life Sciences, Retail and Consumer Packaged Goods, and Manufacturing. Our approach spans from strategic planning to execution, ensuring that we unlock substantial value from AI with unparalleled speed, clarity, and effectiveness. With a team of over 600 AI professionals supporting more than 50 enterprise clients across five global locations, we collaborate closely with top-tier partners such as Anthropic, Databricks, AWS, OpenAI, and Microsoft to deliver cutting-edge AI solutions that yield measurable results. Opportunity We understand that the field of data is vast, and we invite candidates with diverse data backgrounds and cloud expertise, particularly those skilled in building high-quality software systems. As an outcome-focused consultancy, we seek individuals who thrive in a consultative environment, addressing challenges in a comprehensive, end-to-end manner. Our talented and diverse team hails from various backgrounds and experiences, providing a rich learning environment for all. Responsibilities Lead the technical implementation and delivery of advanced data systems and AI-enabled applications. Identify and solve complex data challenges and opportunities at scale. Contribute to the architecture and design of intricate systems. Collaborate with clients to successfully realize their data strategies. Engage with your cross-functional team during the implementation of comprehensive solutions. Participate in internal initiatives such as blogs, technical forums, and technology practices. Drive your personal development by utilizing tools and support from Indicium AI to acquire new skills.

Join our innovative team at Fusion Consulting as a Senior Data Modeler specializing in Snowflake. We are committed to driving data excellence and strategic insights, making this role pivotal in our journey towards data-driven success.As a Senior Data Modeler, you will be responsible for designing, developing, and maintaining data models that optimize our data architecture. You will collaborate with cross-functional teams to ensure the integrity and accessibility of data across our organization.

DataCamp helps people and organizations build essential data and AI skills. Over 17 million learners and more than 6,000 companies, including most of the Fortune 1000, use DataCamp’s platform to close the data and AI skills gap. Role overview The Senior Data Engineer will join the Data Platform Engineering team, part of the Platform Engineering department. This team builds and maintains the data platform that underpins all of DataCamp’s operations, rather than focusing on analytics for a single business unit. The work is central to the company’s ability to make informed, data-driven decisions. What you will do Develop and maintain DataCamp’s Datalakehouse on Google Cloud’s BigQuery. Support reporting and analytics through Looker BI tools, which guide company OKRs and strategic decisions. Maintain a fully automated data pipeline using Terraform and Ansible for provisioning data engineering tools. Manage data ingestion with Airbyte and schedule data transformation tasks with Airflow. Build and update data marts with DBT for finance, engineering KPIs, engineering costs, and infrastructure costs. Ensure daily data refreshes run smoothly for leadership, data scientists, analysts, and engineers. Advise on best practices for data ingestion, data mart design, and product design. Contribute to enabling AI agents and Model Control Points (MCPs) as DataCamp adopts an agent-first engineering approach. The data platform will support both human users and AI functionalities. Requirements At least 3 years of experience as a data engineer. Experience with cloud-based data platforms, ideally Google Cloud’s BigQuery. Familiarity with data pipeline automation using tools like Terraform and Ansible. Hands-on experience with Airbyte for data ingestion and Airflow for orchestration. Experience building data marts with DBT. Strong understanding of BI tools, especially Looker. Ability to support both human and AI-driven data use cases. This position is based in Portugal.

Location: UK or Portugal Department: Engineering Employment Type: Permanent About YLD: At YLD, our mission is to empower our clients to continuously advance. We partner with them to cultivate the skills and capabilities necessary to outpace the competition, recognizing that our success is intrinsically linked to theirs. We are a collective of inquisitive and talented professionals dedicated to making YLD a desirable workplace for growth and retention. As a remote-first consultancy, we specialize in software engineering, product design, and data solutions. With teams spread across London, Lisbon, and Porto, we develop digital solutions that provide lasting value long after project completion. About the Role: As a Senior Data Engineer, you will collaborate with a client team to develop innovative products. We seek individuals who are curious, passionate, driven, and enthusiastic. Proficiency in problem-solving and the ability to design scalable, resilient, and fault-tolerant architectures are essential. Strong communication skills and teamwork are vital as you navigate a fast-paced engineering environment, achieving remarkable results and delivering exciting projects. About You: A Senior Data Engineer at YLD possesses advanced skills across both data engineering and analytics engineering, understanding the nuances between the two. You have experience in building data pipelines and transformation layers, have improved chaotic data projects, and possess thoughtful opinions on data team dynamics, with the flexibility to adapt these views based on context. Your passion for your craft drives you to actively learn and embrace the diverse challenges that consultancy presents: varying clients, technology stacks, and problems. Your Day-to-Day Responsibilities Will Include: Delivering data solutions on client engagements: pipelines, transformation layers, models, and supporting infrastructure. Adapting to diverse client contexts, including legacy warehouse migrations and rescuing struggling transformation layers. Defining and evolving internal standards for data work, including testing, documentation, project structure, and code reviews. Mentoring and developing data engineers within the organization. Participating in client team activities (internal presentations, learning sessions, social events) to foster strong working relationships. Contributing to proposals and aiding in shaping project approaches.

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 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!