Data Science Manager - Advanced and Product Analytics

Join Cabify as a Data Science Manager specializing in Advanced and Product Analytics, where you will lead a talented team to drive data-driven insights that enhance our products and services. Your expertise will guide our analytics strategy, enabling us to deliver exceptional value to our customers. With your leadership, you will empower your team to develop innovative solutions and improve our decision-making processes.

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.

Join Cabify as a Data Science Manager, where you will lead a talented team in delivering innovative data-driven solutions. In this role, you will oversee the development and implementation of advanced analytics models, driving strategic decisions across the organization. Your expertise will help us harness the power of data to enhance our services and improve customer experiences.

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 Experian as a Senior Product Manager for our Analytics Cloud Platform. In this pivotal role, you will lead product development efforts, drive strategy, and ensure the successful delivery of innovative analytics solutions that empower our clients to make data-driven decisions.Your expertise will influence product direction and enhancements, while collaborating with cross-functional teams to define and prioritize features. If you are passionate about analytics and have a strong desire to shape product strategy in a fast-paced environment, we want to hear from you!

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

JetBrains is hiring a Senior Product Manager focused on AI Analytics. This position centers on guiding projects that use artificial intelligence to improve user experience and support product growth. Role overview The Senior Product Manager will work closely with teams from different disciplines to shape and deliver AI-driven features. The goal is to ensure JetBrains products continue to set high standards in the industry. Key responsibilities Lead projects that apply AI analytics to enhance product capabilities Collaborate with engineering, design, and other teams to define and execute strategy Drive initiatives that improve user experience and support business growth Location This role is open in multiple cities, including Amsterdam, Belgrade, Berlin, Limassol, London, Madrid, Munich, Paphos, Prague, Warsaw, and Yerevan.

Welcome to Fever! As the world's premier technology platform for culture and live entertainment, we are on a mission to make cultural experiences accessible to everyone. Our innovative technology and data-centric approach are transforming the way individuals engage with live entertainment. Each month, our platform captivates over 300 million users across more than 40 countries, enabling them to discover remarkable events while empowering creators with the insights and technology they need to innovate and expand their reach. Our achievements include collaborations with industry titans such as Netflix, F.C. Barcelona, and Primavera Sound, along with several prestigious awards and support from top global investors! Exciting, isn't it? To continue our journey, we are seeking passionate individuals with a proactive mindset ready to help us redefine the future of entertainment!Now, let’s dive into the specifics of this role and how you can contribute to Fever's mission.About the RoleAt Fever, we are constructing a federated data organization that balances centralization where it matters and autonomy that drives value. Our teams utilize advanced data platforms like Snowflake, DBT, Airflow, DataHub, and Metabase. Moreover, we are developing proprietary technologies to deliver high-quality data products across diverse business sectors.As a Senior Analytics Engineer, you will serve as a crucial link between data engineering and business analytics, enabling our stakeholders to make informed decisions based on reliable, well-structured, and easily accessible datasets.What You’ll DoDesign, build, and maintain robust data models (DBT, SQL) that convert raw data into clean, trustworthy datasets for self-service and reporting.Collaborate with the data engineering team to define and validate business-critical metrics (revenue, engagement, marketing performance, B2B KPIs, etc.).Engage with business squads (B2B, Marketing, CRM, Product) to identify their requirements and transform them into reusable data assets.Ensure data quality and consistency by working closely with the data engineering team on testing frameworks, observability, and governance.Enable self-service analytics by empowering stakeholders to access and analyze data independently.

Join thebridge3 as a Part-Time Lead Instructor in Data Science and inspire the next generation of data scientists! In this role, you'll leverage your expertise to guide students through the complexities of data analysis, machine learning, and data visualization. Your ability to convey advanced concepts in a clear and engaging manner will empower learners and enhance their skills in a practical setting.

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.

As a Senior Consultant in Data & Analytics at Turner Townsend, you will play a pivotal role in harnessing data to drive strategic decisions within the Energy and Natural Resources sector. Your expertise will help clients navigate complex challenges and enhance operational efficiency through insightful analytics. You will collaborate with multidisciplinary teams, providing innovative solutions that align with business objectives.

Role overview MSX International seeks a Data Analyst based in Madrid. The position focuses on transforming raw data into practical insights that guide business choices and help refine company operations. Strong analytical skills and careful attention to detail will influence strategies throughout the organization. What you will do Examine data sets to spot trends and patterns Convert findings into recommendations for improving operations Provide actionable data insights to support strategic decisions Work environment The Madrid office values fresh ideas and maintains high standards. Teamwork and innovation are part of daily work at MSX International.

Join Aircall as a Senior Data Engineer specializing in Analytics to drive our data initiatives and support our decision-making processes. You will collaborate closely with cross-functional teams to harness data and deliver actionable insights that will improve our product and customer experience.

Join NielsenIQ as a Merchandising Analytics Consultant in Madrid. In this pivotal role, you will leverage data analytics to provide insights that drive strategic merchandising decisions for our clients. Your expertise will empower brands to optimize their product placements and enhance overall sales performance. Collaborate with cross-functional teams to deliver actionable analytics and foster data-driven decision-making.

Join Celonis, the premier global leader in Process Intelligence technology and one of the fastest-growing SaaS companies worldwide. At Celonis, we see a tremendous opportunity to enhance productivity by embedding AI, data, and intelligence at the heart of business processes. We invite you to be part of our mission!The Team:Celonis Services is a dynamic strategic services organization dedicated to the technical journey of our customers while delivering tangible business value throughout our engagements. Our team includes Consulting Services, Academy, and Customer Support, and we pride ourselves on our thought leadership, deep product knowledge, technical expertise, and domain insights. We aim to deliver outstanding Celonis implementations, maximize business value, and facilitate product adoption for our clients through the integration of industry best practices, exceptional delivery experience, and award-winning support.The Role:As a Lead Consultant, you will play a pivotal role in accelerating our customers’ digital transformation and propelling Celonis’ international growth. You will assess customers' strategic needs, develop data-driven process insights using SQL, and create intricate data models to ensure clients derive maximum value. You will gain expertise across a variety of company functions, including Finance, Order Management, Procurement, Warehouse Management, Customer Service, Production, e-Commerce, Opportunity Management, and Supply Chain Management. You will leverage cutting-edge features of the Celonis platform, such as Process Analytics, Process Automation, Artificial Intelligence (AI), and Machine Learning (ML).Your Responsibilities:Initiate:Lead Celonis implementation projects to ensure optimal solutions addressing customer pain points.Design innovative analyses and operational applications, enhancing them with Machine Learning or Artificial Intelligence to illuminate customer processes.Utilize Celonis technology to pinpoint process inefficiencies and uncover root causes in close collaboration with clients.Implement:Facilitate value workshops to create business cases and align strategies to rectify process inefficiencies.Quantify business and financial potential, presenting findings to stakeholders.

Join our dynamic Regional team as a highly motivated and skilled Regional Data Strategy Manager. In this pivotal role, you will be instrumental in defining and executing our Data Strategy, directly reporting to the Regional Data Strategy team.Key Responsibilities:Strategic DevelopmentCraft a comprehensive Data Strategy that aligns with the overarching Regional Data Strategy.Provide critical support for data-related mergers and acquisitions (M&As).Identify and leverage pivotal data levers for organizational growth.Engage with partners to foster data and open innovation initiatives.Manage long-term projects aimed at improving risk evaluation processes for companies.Innovative Data ManagementDevelop strategies for sourcing data through make/buy/multi-source/dual approaches.Evaluate alternative data acquisition scenarios including costs and drivers.Collaborate with IT and Operations to manage business requirements for data-related projects.Create a long-term data evolution roadmap tailored to the country’s needs.Establish a comprehensive data quality roadmap and define key performance indicators (KPIs).Data Production OversightMonitor metrics and control data production processes within data factories.Oversee the various data production workflows and workloads.Ensure performance, quality, and delivery metrics are met consistently.Data Ecosystem ExpansionAnalyze and identify new potential data sources in both alternative and traditional markets.Conduct competitive analyses to inform data strategies.Define specific data roadmaps based on the unique needs of each country.Assess and maintain data quality standards.Conduct significance testing and predictivity assessments for new data sources.Relationship ManagementCoordinate with local Enhanced Information Centers (EIC) to manage relationships with Information Providers (IPs) and negotiate contracts.Serve as an internal consultant on data-oriented topics.Business Development and Data ConsultancySupport the exploration of new data use cases, including ESG considerations and sales keywords.Assist with data-related tenders and bids.Address level 2 data quality issues as they arise.Provide direct support for sales accounts through training and customer engagements.Assist the sales operations team in managing data quality and coverage on the ICON/URBA platform.Oversee initiatives for data delivery to clients.

Shift Technology is revolutionizing the insurance sector with its cutting-edge AI platform. By integrating generative, agentic, and predictive AI, we are transforming underwriting, claims processing, and fraud detection, leading to significant operational efficiency and outstanding customer experiences. Our solutions are trusted by top insurers across the globe, delivering AI capabilities when and where they are most needed to achieve measurable business outcomes.At Shift, we foster a culture of innovation and trust, driven by our mission to reshape the insurance industry through our SaaS offerings. Our team comprises individuals from over 50 countries and cultures, collaboratively working to build the future of insurance. The Data Science Team:Our Data Science team tackles a variety of challenges and plays a key role in defining and developing our product suite, specializing in fraud detection, anti-money laundering, and claim automation. We leverage extensive technical and professional knowledge in data science, data engineering, coding, and client interaction, while also working with diverse data types including structured data, unstructured text, documents, and images.Your Key Responsibilities‍:Establishing and deploying data processing pipelines, encompassing data reception (both batch and real-time), data cleaning, information extraction, and calibration of fraud detection models.Collaborating with clients to comprehend their requirements and integrating their feedback to enhance our solutions.Conducting research and development to foster product innovation in areas such as machine learning, natural language processing, image analysis, trend analysis, and chatbots.Assisting the sales team by engaging in product demonstrations for prospects.Participating in the complete Data Science product lifecycle: Understanding the interconnections between sales, legal, product, and engineering to deliver AI solutions to clients.

jobandtalent is looking for a Senior Analytics Engineer to join the team in Madrid. This position centers on using data analytics to support business decisions and strengthen the company’s data infrastructure. Role overview The Senior Analytics Engineer will work with complex data sets, translating them into clear, actionable insights. The role involves collaborating with colleagues to ensure data is accessible, accurate, and ready to inform key decisions across the business. What you will do Develop and maintain data models and analytics tools Transform raw data into meaningful reports and dashboards Work closely with stakeholders to understand data needs and deliver useful solutions Requirements Strong experience in data analytics and engineering Ability to work with complex data and communicate findings clearly Comfortable working in a collaborative, evolving environment

Ebury empowers ambitious businesses to unlock global growth, applying the same principles to our team members. We promote innovation, collaboration, and problem-solving, creating a culture where everyone feels valued, supported, and empowered to thrive.If you are a collaborative individual eager to transform global business operations, connect with us! We are excited to discuss how Ebury can accelerate your career and enable you to shape the future.Senior Analytics Engineer - Treasury & Exposure ManagementLocation: Madrid/Malaga (Hybrid: 4 days office / 1 day WFH)As part of our Treasury & Exposure domain, you will be integrated into our Domain-Driven Design (DDD) framework, where data and product engineering work in harmony to create impactful data products.This role presents a fantastic opportunity for someone looking to go beyond traditional coding. You will immerse yourself in the domain, collaborating with Product, Tech, and Data teams to understand and enhance the business impact of every model you develop. In this AI-driven era, understanding business context is essential; we seek an engineer fluent in both data and finance.