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.

Who We AreMoniepoint is an innovative global fintech company committed to delivering modern financial services to millions of individuals and businesses in high-growth markets. We focus on providing essential solutions, including payments, banking, credit, and financial management tools, enabling our users to manage their finances effortlessly and securely.Our mission is clear: to promote financial happiness for every African, everywhere. We have experienced rapid growth in Nigeria and the UK and are now expanding our product, engineering, and analytics teams. Our projects span from constructing financial infrastructure to crafting intuitive user experiences for emerging markets, addressing significant, real-world challenges on a large scale.With over a million new customers joining each month and processing hundreds of billions of dollars in payments annually, we support tens of millions of users within our ecosystem. Our teams thrive in a dynamic, high-impact environment, collaborating with international leaders from renowned companies like Glovo, Bolt, Monzo, Klarna, Checkout.com, and Tide. If you are eager to build our data science function from the ground up while working with one of Africa’s most extensive fintech datasets and delivering products that impact millions, now is an exceptional time to join us.About the RoleWe are seeking a strategic and hands-on Data Science Manager (Marketing) to spearhead our data initiatives in a rapidly growing environment. This role is crucial in shaping our data strategy, cultivating a data-driven culture, and ensuring we have the robust infrastructure and insights necessary for continued success as a leading African fintech.You will work closely with our dedicated Marketing team and lead a passionate data team to implement our marketing strategy effectively. Your responsibilities will include enhancing our existing capabilities and defining the future roadmap. We are looking for an innovative and data-focused leader who can inspire both our team and our customers.Your ResponsibilitiesStrategic Leadership: Be a key figure in developing a team of exceptional data scientists and analysts. Formulate and execute a comprehensive data strategy that sets the standard for excellence.Team Building & Management: Recruit, nurture, and retain a high-performing team of data professionals.Experimentation: Champion a culture of rigorous experimentation, including A/B testing, to guide product development and business decisions.Data Pipeline Ownership: Oversee the complete ownership, design, development, and implementation of our data pipelines.

We are seeking an experienced Project Manager to lead and oversee construction projects in the pharmaceutical and life sciences sectors. The ideal candidate will possess a deep understanding of project management principles, particularly in environments that require strict compliance with regulatory standards and timelines.Your responsibilities will include planning, executing, and closing projects, managing budgets, and ensuring adherence to quality and safety standards. You will collaborate with various stakeholders including clients, contractors, and regulatory bodies to deliver successful outcomes.

We invite you to submit your CV in English, detailing your proficiency level in the English language.Mindrift serves as a bridge connecting specialized talents with project-based AI opportunities in leading technology firms, focusing on the testing, evaluation, and enhancement of AI systems. Please note that this role is project-based, not a permanent position.Key Responsibilities:Develop innovative computational data science challenges that mirror real-world analytical processes across various sectors, such as telecommunications, finance, government, e-commerce, and healthcare.Design tasks that necessitate Python programming for solutions, utilizing libraries such as Pandas, Numpy, Scipy, Sklearn, Statsmodels, Matplotlib, and Seaborn.Ensure challenges are computationally demanding, requiring solutions that cannot be achieved manually within a reasonable time frame (days or weeks).Create problems that involve intricate reasoning chains in data processing, statistical analysis, feature engineering, predictive modeling, and extraction of insights.Formulate deterministic problems that yield reproducible results, minimizing stochastic elements and, when necessary, utilizing fixed random seeds for consistency.Base challenges on authentic business issues, including customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational effectiveness.Design comprehensive problems that cover the entire data science pipeline, from data ingestion and cleaning to exploratory data analysis, modeling, validation, and deployment considerations.Integrate big data processing scenarios that require scalable computational strategies.Validate solutions using Python with standard data science libraries and statistical techniques.Clearly document problem statements within realistic business contexts, providing verified correct answers.

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

Join our dynamic Partnership Integrations Team as a Product Manager and lead the way in developing innovative integration solutions. In this remote position, you'll collaborate with cross-functional teams to enhance our product offerings and drive strategic partnerships that elevate our service delivery. Your expertise will shape the future of our integrations and create seamless experiences for our partners and customers alike.

Join Veeva Systems, a trailblazer in industry cloud solutions, dedicated to accelerating the delivery of therapies to patients in the life sciences sector. As a rapidly expanding SaaS company, we achieved over $2 billion in revenue last fiscal year and have significant growth potential.At Veeva, our core values guide us: Do the Right Thing, Customer Success, Employee Success, and Speed. We made history in 2021 by becoming a public benefit corporation (PBC), committed to balancing the needs of our customers, employees, society, and investors.As a Work Anywhere company, we empower you to choose your work environment - whether from home or in the office - to help you thrive.Become part of our mission to transform the life sciences industry, making a meaningful difference for our customers, employees, and communities.The RoleWe aim to create connected data applications that enhance research and patient outcomes through Veeva Link.As the Team Lead for one of our Data Operations teams, you will oversee a remote team of over 50 freelancers engaged in rule-based web research. Your responsibilities include designing business processes and implementing both process and technology improvements.You will plan and manage these business processes, facilitating their execution by eliminating obstacles for your team members. Your primary objective is to enhance process efficiency while minimizing defects. As a frontline manager and servant leader, you will deliver operational metrics related to your processes and results while ensuring team engagement.To excel in this role, you should possess a strong drive to lead, a proactive “can do” attitude, and a results-oriented mindset. You should also be analytical, organized, and possess strong interpersonal skills, enabling effective communication with managers, analysts, and researchers.The ideal candidate will have a keen interest in people management, a process-oriented approach, and a commendable work ethic.

Veeva Systems is an innovative and mission-driven enterprise at the forefront of industry cloud solutions, dedicated to accelerating the delivery of therapies to patients across the globe. As one of the fastest-growing SaaS companies in history, we achieved over $2 billion in revenue last fiscal year, with tremendous growth opportunities ahead.Our core values—Do the Right Thing, Customer Success, Employee Success, and Speed—guide our actions. In a landmark achievement, we became a public benefit corporation (PBC) in 2021, committing ourselves to balance the interests of customers, employees, society, and investors.As a Work Anywhere organization, we provide the flexibility to work remotely or in-office, empowering our employees to excel in their preferred environments.Join us in transforming the life sciences industry, as we strive to positively impact our customers, employees, and the communities we serve.The RoleVeeva Link aims to create interconnected data applications that enhance research and patient outcomes. As the Team Lead for one of our Data Operations teams, you will oversee a remote team of over 50 freelancers engaged in rule-based web research. Your responsibilities will include designing business processes, driving technological advancements, and leading process improvements.You will plan, manage, and support these processes, ensuring your team can execute their tasks efficiently by eliminating obstacles. Your primary objective will be to enhance process efficiency and minimize defects. As a first-line manager and servant leader, you will deliver operational metrics that reflect your team's performance while keeping them motivated and engaged.To excel in this position, you should be highly motivated, possess a proactive mindset, and be results-driven, analytical, organized, and socially adept. Strong communication skills are essential for effective interaction with managers, analysts, and researchers.The ideal candidate will have a keen interest in people management, a process-oriented approach, and a solid work ethic.

Please submit your CV in English and include your English proficiency level. Mindrift connects experienced professionals with project-based AI assignments for major technology companies. The work centers on evaluating, testing, and improving AI systems. This is a freelance, project-based position rather than a permanent role. Role overview This freelance Data Science Engineer position focuses on designing and validating computational challenges that reflect real-world analytical workflows. The projects span sectors such as telecom, finance, government, e-commerce, and healthcare, and require advanced Python and SQL skills. All work is remote, with a location focus on València, Valencian Community, Spain. What you will do Design data science problems that simulate business analytics tasks in various industries. Develop challenges that require Python programming, using libraries like Pandas, Numpy, Scipy, Sklearn, Statsmodels, Matplotlib, and Seaborn. Ensure tasks are computationally intensive and cannot be solved manually in a reasonable timeframe. Create complex problems involving advanced data processing, statistical analysis, feature engineering, predictive modeling, and extracting insights. Formulate deterministic, reproducible problems by avoiding randomness or using fixed random seeds. Base scenarios on real business needs such as customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency. Address the full data science pipeline, including data ingestion, cleaning, exploratory analysis, modeling, validation, and deployment considerations. Incorporate big data processing situations that require scalable approaches. Validate solutions in Python using standard data science libraries and statistical techniques. Thoroughly document each problem, providing realistic business context and verified answers. Requirements Minimum 5 years of hands-on data science experience with demonstrable business impact. A portfolio of projects or publications showing real-world problem-solving. Advanced Python skills for data science, including experience with pandas, numpy, scipy, scikit-learn, and statsmodels. Strong background in statistical analysis and machine learning, with deep understanding of algorithms and their uses. Proficiency in SQL and database operations for data analysis. Familiarity with GenAI tools and concepts (such as LLMs, RAG, prompt engineering, and vector databases). Understanding of MLOps and model deployment workflows. Knowledge of frameworks like TensorFlow, PyTorch, and LangChain. Excellent written English skills (C1+ level). Application process Apply Pass qualification(s) Join a project Complete tasks Receive payment Location: Remote , València, Valencian Community, Spain

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.

Veeva Systems is a forward-thinking organization and a leader in the industry cloud sector, dedicated to accelerating the delivery of therapies to patients worldwide. As one of the fastest-growing SaaS companies, we achieved over $3B in revenue last fiscal year and continue to see vast growth opportunities ahead. Our core values are the foundation of Veeva: Do the Right Thing, Customer Success, Employee Success, and Speed. We made history in 2021 by becoming a public benefit corporation (PBC), committed to balancing the needs of our customers, employees, society, and investors. As a Work Anywhere organization, we empower you to choose your ideal work environment, whether it's from home or in the office. Join us in transforming the life sciences industry, fostering a positive impact on our customers, employees, and communities.

Veeva Systems is a mission-driven organization and a trailblazer in industry cloud solutions. We empower life sciences companies to accelerate the delivery of therapies to patients. As one of the fastest-growing SaaS companies in history, we surpassed $2 billion in revenue last fiscal year, with significant growth opportunities on the horizon.Our core values—Do the Right Thing, Customer Success, Employee Success, and Speed—drive our culture. In 2021, we made history by becoming a public benefit corporation (PBC), committed to balancing the interests of our customers, employees, society, and investors.As a Work Anywhere organization, we offer flexibility in working from home or in the office, allowing you to thrive in your preferred work environment.Join us in transforming the life sciences industry, with a commitment to making a meaningful impact on our customers, employees, and communities.About the RoleAs a vital member of Veeva OpenData Commercial, you will lead a team of 6-8 data analysts focused on website data extraction. Your team will configure crawlers using our proprietary toolchain to gather data from various websites. The extracted data will be processed using Python configuration scripts in our data platform. This role plays a crucial part in enhancing customer satisfaction by ensuring that data remains fresh and accessible. In addition to crawler management, your team will engage in classic analytical tasks, including ad-hoc reporting and visual data presentations.

Veeva Systems is a pioneering organization dedicated to transforming the life sciences sector through industry cloud solutions, enabling companies to expedite the delivery of therapies to patients. As one of the fastest-growing SaaS companies, we achieved over $2 billion in revenue in our last fiscal year, with promising growth opportunities on the horizon.Our core values drive us: Do the Right Thing, Customer Success, Employee Success, and Speed. In 2021, we proudly became a public benefit corporation (PBC), committed to balancing the interests of our customers, employees, society, and investors.As a Work Anywhere company, we empower you to choose your work environment—whether from home or in the office—to thrive and excel.Join us in revolutionizing the life sciences industry, where we are dedicated to making a positive impact on our clients, employees, and communities.The RoleAt Veeva Link, we are constructing the intelligence layer for life sciences, developing interconnected data applications to accelerate drug development and drastically enhance patient outcomes. Our guiding principle is that the fusion of top-quality data and cutting-edge software creates tremendous value.Execution is paramount; we believe that progress is driven by speed, precision, and the quality of our daily builds. Our engineering philosophy focuses on clear product definitions and detailed technical designs, utilizing a modern tech stack to deliver reliable applications and superior user experiences.Our work encompasses two pivotal domains:Data-Driven InsightsWe create advanced applications that map and comprehend global scientific and medical expertise, yielding high-impact insights and AI-generated intelligence. Our engineers tackle intricate data modeling, entity resolution, and sophisticated machine learning challenges.Intelligent Business WorkflowsWe design and implement intelligent workflows that optimize business outcomes, ensuring that our clients achieve their strategic objectives.

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.

Join thebridge3 as a Lead Instructor in Data Science for our part-time program in Sevilla! We are seeking a dynamic and knowledgeable professional to guide and inspire students in their journey to becoming data science experts.Your role will involve developing course content, delivering engaging lectures, and mentoring students through practical projects. If you have expertise in data science and a passion for teaching, we want to hear from you!

Join our dynamic Integrations Team at Truv as a Senior Software Engineer, where you will play a crucial role in enhancing our software solutions. You will be responsible for developing and maintaining integrations that connect our systems to various platforms, ensuring seamless data flow and efficiency. This position is perfect for an experienced engineer who thrives in a fast-paced environment and is eager to tackle complex challenges.

Join our dynamic team as a Lead Data Science Instructor in Sevilla! In this exciting role, you will be responsible for shaping the future of aspiring data scientists. You will lead courses that cover essential data science concepts and methodologies, providing hands-on guidance and mentorship to students.As a pivotal member of our educational team, you will collaborate with fellow instructors to enhance the curriculum and ensure an engaging learning experience. Your expertise will inspire the next generation of data professionals.

Do you have a passion for transforming the ordinary into the extraordinary? At Goodman, we foster an environment that encourages innovation and excellence.As a leading dynamic real estate developer and investor, Goodman specializes in logistics properties and is now expanding its portfolio to include state-of-the-art data centre projects. We are on the lookout for seasoned professionals in the data centre sector.We are currently seeking a talented Project Manager to enhance our Data Centre project team. The successful candidate will be responsible for managing the complete lifecycle of construction projects, ensuring timely delivery, budget adherence, and compliance with quality standards. This role involves strategic planning, coordination, and leadership of diverse teams, including contractors, consultants, and internal partners. You will be tasked with risk mitigation, progress monitoring, and making pivotal decisions to address challenges that occur throughout the project. Additionally, you will engage with clients to align project goals with broader business objectives, prioritizing operational readiness and sustainability.In this role, you will have the opportunity to:

This freelance Integration Developer (API Specialist) role at Mindrift centers on building and optimizing system integrations for the Tendem project. The position is remote, with a location focus in València, Valencian Community, Spain. Work as part of a hybrid team that combines AI and human expertise to deliver scalable, reliable solutions using Generative AI and practical knowledge. Role overview This part-time contract position suits professionals skilled in APIs, webhooks, and managing data pipelines across multiple systems. The work involves collaborating with both technical and AI-driven team members to ensure seamless integration between business platforms. What you will do Design and assess integrations for core business systems, including CRMs, advertising tools, and email platforms. Develop and refine workflows using APIs, webhooks, and data pipelines (both real-time and batch). Connect and synchronize data between platforms such as Airtable, Google Sheets, and Notion. Maintain reliable, real-time data transfer and ensure consistency across systems. Troubleshoot and enhance data flow performance, focusing on latency and failure handling. Support automated communication integrations, including messaging, outreach, and calling workflows. Compensation Contributors may earn up to $50 per hour, depending on experience and contribution pace. Actual rates will vary based on project scope and complexity. Learn more about the Tendem project at https://tendem.ai/.