Lead Consultant - Data Science & Artificial Intelligence

Hello! We are Fever, the premier technology platform that transforms the landscape of culture and live entertainment.Our goal? To make culture and entertainment accessible to everyone. Through our advanced technology and data-centric strategies, we are reshaping how individuals interact with live experiences. Every month, our platform captivates over 300 million people across more than 40 countries, inviting them to discover remarkable experiences while empowering event organizers with our insights and tools to innovate and expand their reach.Our achievements? We've partnered with renowned industry giants such as Netflix, F.C. Barcelona, and Primavera Sound, created internationally acclaimed experiences, and are supported by top-tier global investors! Impressive, right? To further our mission, we are in search of exceptional individuals with a proactive approach who are excited to shape the future of entertainment! Are you ready to be a part of this journey?Now, let’s delve into the specifics of this role and how you will contribute to Fever’s mission.About the RoleWe are seeking dynamic and inspiring data science leaders who are eager to take charge of significant business areas—such as product optimization, personalization, or marketing—and lead small, collaborative teams to drive impactful results.As a Lead Data Scientist at Fever, you will merge strong technical expertise with the ability to navigate diverse teams and projects. You'll leverage data to address intricate business challenges while fostering the growth and development of your team members.This is a highly cross-functional and visible role where your contributions will directly influence major business and product strategies. You’ll have the opportunity to shape the direction of the Data Science team and bolster our collective culture of learning, innovation, and inclusivity.What You’ll DoFully own strategic data science initiatives, from exploration to deployment.Guide, mentor, and nurture a small team of Data Scientists, aiding their technical and professional development.Design and create models for personalization, forecasting, user behavior analysis, and marketing effectiveness.Collaborate with Product, Engineering, Marketing, and other teams to translate data insights into tangible impacts.Help prioritize projects effectively based on their value and potential outcomes.

Experian is looking for a Senior Data Scientist to join the team in Madrid. This position centers on developing predictive models and shaping data strategies that support business goals. Role overview As a Senior Data Scientist, collaboration with colleagues from different departments will be a regular part of the job. The work involves analyzing data, building models, and providing insights that help guide key decisions across projects. What you will do Create and refine predictive models to support business operations Work closely with cross-functional teams to design and implement data-driven strategies Translate analytical findings into actionable recommendations for ongoing projects Impact The insights and solutions produced in this role will play a direct part in shaping project outcomes and improving decision-making processes at Experian.

Join Auto1 Group as a Senior Data Scientist and be at the forefront of data-driven decision making. In this pivotal role, you will leverage advanced statistical techniques and machine learning algorithms to analyze vast datasets and provide actionable insights that drive business strategies. Collaborate with cross-functional teams to develop innovative solutions, optimize operations, and enhance customer experiences.

Role overview Nexthink is looking for a Data Scientist based in Madrid. The position centers on working with complex data sets and building predictive models to advance Information Technology projects. What you will do Analyze large and diverse data sets to identify trends and generate actionable insights Create predictive models that guide IT decision-making Contribute to projects focused on enhancing user experiences and streamlining IT operations Impact The analysis and models developed in this role will help Nexthink improve how users interact with technology and support IT teams in their daily work. Insights generated will influence the direction of important projects across the organization.

Experian is hiring a Data Scientist to join the team in Madrid. This position centers on applying data analysis, machine learning, and statistical modeling to support business goals. Role overview As a Data Scientist, you will work closely with colleagues from different departments to create and refine data-driven solutions. The work aims to improve Experian’s products and services through actionable insights and innovation. What you will do Analyze complex data sets to uncover patterns and trends Apply machine learning and statistical modeling techniques Collaborate with cross-functional teams on solution development Location This role is based in Madrid.

Join Cabify as a Data Scientist specializing in Advanced Analytics, where you will leverage data-driven insights to shape strategic decisions and enhance operational efficiency. As part of our innovative team, you will work with diverse datasets, utilizing advanced analytical techniques to unlock valuable insights that drive business growth.

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.

Join Cabify as a Data Scientist and contribute to innovative data-driven solutions that enhance our transportation services. You will leverage your expertise in data analysis and machine learning to derive actionable insights from complex datasets, driving strategic decisions and improving customer experiences.

Join our dynamic team as a Senior Data Scientist in the Incubation Lab at NielsenIQ, where you will leverage your expertise in data science to drive innovative solutions and insights. In this role, you will analyze complex datasets, utilize advanced machine learning techniques, and collaborate with cross-functional teams to develop data-driven strategies that enhance our business operations.

OGC Global is a premier research and consulting firm dedicated to leveraging data-driven strategies, quantitative analytics, and optimizing Customer Experience (CX) programs. Collaborating with some of the largest organizations worldwide across sectors such as Financial Services, Specialty Retail, Telecommunications, Hospitality, and Software, we empower our clients with profound insights into their customers, actionable recommendations, and enhanced business operations.We are on the lookout for a motivated and detail-oriented Junior Data Scientist to join our vibrant team. This full-time position presents an exceptional opportunity for a proactive individual eager to engage in research and consulting that empowers our clients to develop deeper insights, identify growth opportunities, and enhance customer satisfaction.This position is fully remote, based in Spain, but requires working hours aligned with the U.S. East Coast.

Cabify aims to reshape urban mobility in Madrid, working toward more livable cities and reducing reliance on private vehicles. The Applied Science team supports this mission by using data to improve areas such as route management, pricing, fraud detection, and marketing. Their work is highlighted in several examples: exhibit A, B, and C. Role overview The Senior Data Scientist will join Cabify’s Applied Science group in Madrid. This position partners with data, engineering, product, and business teams to deliver projects that influence the company’s direction. With access to diverse datasets, the team addresses challenges across the business. What you will do Lead and deliver impactful data science projects with cross-functional teams. Design, train, and validate advanced statistical and machine learning models, and support their deployment to production. Plan and analyze experiments using scientific methods to measure new feature impacts. Translate analytical results into business insights that create value for Cabify. Contribute research ideas to expand the team’s technical and scientific strengths. Communicate complex technical concepts to varied stakeholders and help foster a strong data culture. Participate in product development discussions, advocate for new features, and ensure data science is integrated into projects. Serve as a technical reference for the team, supporting professional growth and best practices. Location This position is based in Madrid.

Join Cabify as a Senior Data Scientist in our Marketing Analysis team, where you'll leverage data to drive impactful marketing strategies. You will play a pivotal role in analyzing complex datasets, developing predictive models, and generating actionable insights that enhance our customer engagement and brand presence.Your expertise in statistical analysis and machine learning will be essential in optimizing our marketing campaigns and improving our overall performance. Collaborate with cross-functional teams to translate data findings into strategic recommendations, ensuring Cabify remains a leader in the mobility sector.

This Data Scientist role at Geotab focuses on supporting an Insights & Integrations Consultancy based in Madrid, Spain. Geotab specializes in connecting commercial vehicles to the internet, providing web-based analytics that help organizations manage their fleets more efficiently and safely. Role overview As a Data Scientist, the work centers on analyzing large volumes of vehicle and business data. The goal is to uncover insights that help customers automate operations, improve productivity, reduce fuel consumption, and enhance driver safety. The position involves using analytics and machine learning to process billions of data points daily, supporting clients as they navigate regulatory requirements and seek to optimize their fleets. About the team Geotab values curiosity, creativity, and initiative. Team members are encouraged to take on new challenges and grow their skills. The company fosters an inclusive workplace and supports professional development. Location This position is located in Madrid, Spain. For more about Geotab’s culture and updates, visit the company blog or follow on Instagram. To receive updates on future roles, join the talent network.

Join Cabify as a Senior Data Scientist specializing in Advanced Analytics, where you'll leverage your expertise to drive data-driven decision-making across our organization. In this pivotal role, you'll collaborate with cross-functional teams to develop predictive models, conduct exploratory data analysis, and implement machine learning algorithms that enhance our service offerings. Your contributions will be essential in shaping the future of transportation solutions in urban areas.

Join our dynamic team at Sopra Steria as a Technical Reference / Data Lead who is proficient in French. In this pivotal role, you will lead data-driven projects, collaborate with cross-functional teams, and ensure the successful implementation of our data strategy. You will be instrumental in leveraging your technical expertise and language skills to foster communication and drive efficiency in our operations.

Role Overview nexthink is hiring a Senior Data Engineering Tech Lead in Madrid. This position guides the direction of our data strategy and leads a skilled team of engineers. The role focuses on building and improving data infrastructure to help the company deliver clear, actionable insights.

Role overview Nexthink seeks a Senior Data Engineering Tech Lead based in Madrid to shape the company’s data architecture and guide a talented engineering team. This position centers on building and refining data solutions that power Nexthink’s products and enhance the experience for users. What you will do Lead and mentor a team of data engineers, offering technical guidance and day-to-day support. Direct the design and deployment of data pipelines and analytics systems. Collaborate with teams throughout Nexthink to uphold data integrity, improve system performance, and ensure platforms can scale effectively. Tackle complex data problems and contribute to the ongoing evolution of Nexthink’s platform.

Hello! We are Fever, the premier technology platform for culture and live entertainment.Our mission? To make culture and entertainment accessible to everyone. Through our innovative technology and data-driven strategies, we are transforming the way individuals connect with live events. Each month, our platform motivates over 300 million users across more than 40 countries to uncover unforgettable experiences while empowering event creators with our insights and technology, enabling them to grow, innovate, and attract new audiences.Our achievements? We have collaborated with significant industry leaders like Netflix, F.C. Barcelona, and Primavera Sound, presented award-winning international experiences, and received backing from several top global investors! Impressive, right? To realize our mission, we seek forward-thinkers with a hands-on approach who are excited to help shape the future of entertainment! Ready to join the adventure?Now, let’s dive into this role and how you will contribute to Fever’s mission.About the team:Within Finance, the Process Innovation team guarantees that the necessary workflows, data, and controls are in place to support Finance and the larger business as it expands. The team adopts a cross-functional perspective on finance initiatives, closely collaborating with Product, Data, and Business teams to ensure operational readiness, compliance, and smooth execution. The emphasis is on fostering growth and scalability through strong processes, trustworthy data, and systems, identifying obstacles early, and promoting ongoing improvement across core finance operations.About the role: We are on the lookout for a Finance Data & Business Readiness Lead to ensure Finance is fully equipped to support business growth, product launches, and essential operational decisions. This role is highly operational and cross-functional, serving as the bridge between Finance, Data, Product, and Business to ensure readiness across processes, data, and systems. You will spearhead initiatives aimed at enhancing financial readiness, scaling reporting and data foundations, and ensuring that fundamental finance operations are executed flawlessly as the business evolves. This position merges strong operational leadership with hands-on involvement across data, systems, and process enhancement.

Role overview FeverUp is looking for a Head of Data Science to guide its data science team in Madrid. This leader will shape analytical strategies and ensure the team delivers practical solutions that support business goals. What you will do Manage and mentor the data science team Work with teams across the company to improve how data informs decisions Oversee projects that apply machine learning, statistical modeling, and data visualization Focus on using data insights to support business results