Data Science Manager

Join GoCardless as a Data Science Manager and lead a dynamic team at the forefront of payment intelligence. In this role, you will leverage bank account data to deliver innovative and intelligent payment solutions, driving success in payment processing and fraud prevention. Collaborate with Software Engineers, Product Managers, and Designers to transform amb…

About Riskified Riskified helps businesses grow their ecommerce operations by reducing risk. Our platform supports major global brands and public companies, protecting them from chargebacks and fraud while building customer loyalty. Clients include Acer, Gucci, Lorna Jane, GoPro, and many others. Our team brings together ecommerce risk analysts, data scientists, and researchers who use an AI-driven platform to evaluate transactions in real time, drawing on advanced identity verification to deliver actionable decisions. We value collaboration and innovation. People at Riskified work together to create products that make a real difference, and every team member has the chance to contribute to our broader mission. Role Overview Note: This position will be recruited, hired, and employed by a third-party agency. The Data Science department plays a central role at Riskified, building algorithms and scalable analytical solutions. The team applies advanced techniques such as classification models, natural language processing (NLP), anomaly detection, graph theory, and deep learning to extract value from data. As the Data Science Team Lead in Lisbon, you will guide a team of data scientists and remain hands-on with complex technical projects. The role covers recruiting, mentoring, and supporting team members, while ensuring the delivery of effective machine learning solutions for fraud detection and risk assessment. What You Will Do Technical Leadership Set technical direction for complex data science projects that use large-scale tabular data. Lead key projects and contribute production-quality code. Define and maintain best practices for model development, evaluation, and deployment. Conduct code reviews to ensure quality, maintainability, and adherence to standards. Help team members navigate challenging technical problems. Team Leadership and Management Recruit, onboard, mentor, and manage data scientists. Foster a collaborative environment that encourages experimentation and knowledge sharing.

Join the Kaizen Gaming FamilyAt Kaizen Gaming, the driving force behind Betano, we stand as one of the largest GameTech companies globally, operating across 19 dynamic markets. Our mission is to harness innovative technology to deliver unparalleled experiences to millions of customers who rely on us for their entertainment.We proudly represent a diverse workforce of over 2,700 Kaizeners from more than 40 nationalities across three continents.As a member of our #oneteam, you’ll be part of a workplace recognized as one of the Best Workplaces in Europe and certified as a Great Place to Work across all our offices. Here, every day brings new opportunities and challenges. Are you ready to Press Play on your potential?About the RoleAs the Data Science Team Lead within our AI product team, you will spearhead the development and delivery of impactful AI solutions. Your role will be central to our AI initiatives, involving data analysis, the creation of machine learning models, and close collaboration with our tech team to develop successful AI products that drive business success.The ideal candidate will possess a robust understanding of machine learning algorithms, a strong track record of deploying ML/AI applications in live environments, and previous experience in managing and guiding AI teams.Key Responsibilities:Lead a team of 5 to 7 talented data scientists and machine learning engineers.Translate product specifications into machine learning challenges and identify key areas where AI can maximize business impact.Conduct data analysis to uncover significant patterns and generate actionable insights.Perform exploratory data analysis (EDA) and feature engineering to enhance the modeling process.Establish best practices in model selection, parameter tuning, and optimization.Execute comparative experiments for model training.Evaluate different solutions by analyzing ML metrics.Oversee the complete lifecycle of AI features—from data collection through model design to implementation and optimization in production.Mentor junior team members and guide the team through complex projects.

Veeva Systems is an innovative leader in the industry cloud space, dedicated to empowering life sciences companies in their mission to deliver therapies to patients more swiftly. As one of the fastest-growing SaaS companies in history, we achieved over $2 billion in revenue last fiscal year, with significant growth opportunities on the horizon.Central to our ethos are our core values: Integrity, Customer Success, Employee Success, and Agility. In 2021, we made history by becoming a public benefit corporation, committed to balancing the needs of our customers, employees, society, and investors.As a Work Anywhere organization, we prioritize your flexibility, allowing you to thrive in the environment that suits you best, whether that be from home or in the office.Join us in transforming the life sciences sector, as we strive to create a positive impact for our customers, employees, and communities.The RoleAt Veeva Link, we are developing the intelligence framework for life sciences, creating interconnected data solutions that expedite drug development and greatly enhance patient outcomes. Our foundational belief is that merging high-quality data with cutting-edge software yields substantial value.We emphasize execution, as progress is driven by speed, precision, and quality in our daily endeavors. Our engineering philosophy focuses on clear product definitions that lead to detailed technical designs. Utilizing a modern technology stack, we ensure the delivery of reliable applications and an exceptional user experience.Our efforts are concentrated in two essential domains:Data-Driven InsightsWe create advanced applications that chart and comprehend global scientific and medical expertise, delivering impactful insights and AI-generated intelligence. Our engineers tackle intricate data modeling, entity resolution, and sophisticated machine learning challenges.Intelligent Business WorkflowsWe design innovative business workflows that enhance efficiency and productivity.

Veeva Systems is a pioneering force in the industry cloud space, dedicated to accelerating the delivery of therapies to patients in the life sciences sector. As one of the fastest-growing SaaS companies globally, we achieved over $2 billion in revenue last fiscal year, with ample growth opportunities on the horizon.Our core values drive us: Do the Right Thing, Customer Success, Employee Success, and Speed. In 2021, we distinguished ourselves by becoming a public benefit corporation (PBC), legally committed to balancing customer, employee, societal, and investor interests.As a Work Anywhere organization, we offer flexibility in your work environment, whether at home or in the office, to help you thrive.Join us in transforming the life sciences industry and positively impacting our customers, employees, and communities.The RoleOur vision for Veeva Link is to lead globally in providing deep data for life sciences, aiding pharma professionals in connecting with the right individuals for clinical trials, educational initiatives, or advisory boards. This streamlined access minimizes the time-to-market for essential drugs, facilitates trials with top experts, and disseminates information about new treatments within the life sciences community. Learn more about Veeva Link at https://www.veeva.com/products/veeva-link/. We are looking for a seasoned People Manager to spearhead one of our Data Operations teams. This crucial role ensures the efficient and high-quality delivery of data operations that underpin our product development. As a member of the Data Operations leadership team, you will oversee a team of 5 Veevans along with hundreds of curators.You will lead a highly engaged and high-performing team, fostering a culture of performance and accountability.

Veeva Systems is a purpose-driven company and a trailblazer in industry cloud solutions, dedicated to accelerating the delivery of therapies to patients in the life sciences sector. As one of the fastest-growing SaaS firms in history, we achieved over $2 billion in revenue in our last fiscal year, with significant growth opportunities on the horizon.Our core values at Veeva—Do the Right Thing, Customer Success, Employee Success, and Speed—guide our operations. In 2021, we made history by becoming a public benefit corporation (PBC), which legally commits us to balancing the interests of our customers, employees, society, and investors.Embrace the flexibility of working with us as a Work Anywhere organization, where you can choose your ideal work environment, whether from home or the office.Join us in transforming the life sciences industry, as we strive for a positive impact on our customers, employees, and communities.The RoleThe vision of our Link data application family is to foster connections between life sciences and healthcare professionals to enhance research and care. The HCP Data team is responsible for the internal product that supports all customer-facing external products within the Veeva Link suite. The Manager will lead over 11 distinct streams and oversee a team of 8+ leads, collaborating with cross-functional stakeholders across product management, data science, and engineering.Ideal candidates will possess a university degree, exhibit strong interpersonal skills, be proactive learners, and have a keen interest in building a sustainable career within a rapidly growing international tech company. A proven track record in developing teams and processes, alongside a solid understanding of data, is essential. We value cultural fit; candidates should thrive in a fast-paced, multicultural environment. If you are passionate about data, life sciences, and the prospect of working with a dynamic tech company, then Veeva is the place for you. Please note that Veeva is unable to provide employment visa sponsorship.

Veeva Systems is a pioneering organization dedicated to transforming the life sciences industry by accelerating the delivery of therapies to patients. As one of the fastest-growing SaaS companies in history, we achieved over $2 billion in revenue last year with promising growth opportunities ahead.Our core values — Do the Right Thing, Customer Success, Employee Success, and Speed — drive our mission. We made history in 2021 by becoming a public benefit corporation (PBC), emphasizing our commitment to balancing the interests of our customers, employees, society, and investors.As a Work Anywhere company, we offer you the flexibility to work from home or in the office, ensuring you can excel in your preferred environment.Join us in revolutionizing the life sciences sector, as we strive to positively impact our customers, employees, and communities.Role OverviewIn your role as the Data Extraction Manager, you will lead a team of 6-8 data analysts focused on website data extraction. Your team will configure crawlers with our advanced toolchain to extract vital data from various websites, which will then be processed on our data platform using Python scripts. Your leadership will significantly influence customer success by maintaining the freshness and availability of critical data. Additionally, your team will engage in classic analytical tasks, including ad-hoc reporting and visual data presentation.

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 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.

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.

Join Our Dynamic Team at Air AppsAt Air Apps, we embrace innovation and ambition. As a family-founded enterprise, we are on a mission to revolutionize planning with the world’s first AI-powered Personal & Entrepreneurial Resource Planner (PRP). Established in Lisbon, Portugal in 2018, and now expanding to San Francisco, we’ve achieved over 100 million downloads globally while remaining self-funded.Our commitment to long-term vision drives us to disrupt the conventional, pushing the limits of AI solutions that genuinely impact lives. You will play a pivotal role in crafting products that empower individuals globally.Embark on this transformative journey with us to redefine resource management and make a difference in the lives of many.Role OverviewAs a Data Analyst at Air Apps, you will harness your analytical prowess to interpret data and drive insightful business decisions. Your expertise will contribute to creating comprehensive reports, interactive dashboards, and performance metrics, enabling teams to enhance user experiences and optimize product outcomes.This position demands a data-driven mindset, exceptional analytical skills, and proficiency with visualization tools to transform intricate data into strategic insights.Key ResponsibilitiesAnalyze user behavior, product performance, and essential business metrics to uncover trends and growth opportunities.Develop and sustain interactive dashboards and reports using tools such as Tableau, Looker, Power BI, or Google Data Studio.Gather, refine, and organize large datasets to guarantee precision and usability.Establish and monitor KPIs for marketing, product, and business outcomes.Utilize SQL, Python, or R for data extraction, analysis, and manipulation.Collaborate with product managers, engineers, and marketing teams to deliver data-driven insights.Conduct A/B testing and experimental analysis to enhance product features and user engagement.Identify bottlenecks and opportunities within user journeys and customer funnels.Present findings clearly and persuasively to stakeholders and leadership teams.

Veeva Systems is an innovative, mission-driven organization that stands at the forefront of industry cloud solutions, empowering life sciences companies to expedite the delivery of therapies to patients. As one of the fastest-growing SaaS companies globally, we exceeded $2 billion in revenue last fiscal year and are poised for significant future growth.Our core values—Do the Right Thing, Customer Success, Employee Success, and Speed—guide our efforts. In 2021, we made headlines by becoming a public benefit corporation (PBC), committed to balancing the interests of our customers, employees, society, and investors.As a Work Anywhere company, we offer flexible work arrangements, whether from home or in the office, enabling you to thrive in your preferred environment.Join us in transforming the life sciences industry, as we strive to positively impact our customers, employees, and communities.The RoleVeeva Link aspires to lead the global market in deep data solutions for life sciences. We are seeking a meticulous and skilled Data Analyst to join our dynamic product team.In this pivotal role, you will contribute to the establishment and execution of a robust data governance framework, ensuring data accuracy, completeness, and integrity. Your primary responsibilities will include setting up data quality monitoring processes, diagnosing root causes of discrepancies, and collaborating with cross-functional teams to bridge data gaps.To excel in this role, proficiency in SQL and Python for data manipulation and automation is essential. You should be adept at handling large datasets, creating informative dashboards with actionable insights, and employing statistical methods to evaluate and improve data quality.The ideal candidate will have a background in developing documentation (such as process documentation and data collection guidelines) and contributing to data governance policies and best practices.

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.

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.

Join Veeva Systems, a trailblazer in the industry cloud space, dedicated to accelerating the delivery of therapies to patients. As one of the fastest-growing SaaS companies in history, we achieved over $2 billion in revenue last fiscal year and have significant growth opportunities ahead.Our core values—Do the Right Thing, Customer Success, Employee Success, and Speed—define our approach. We made history in 2021 by becoming a public benefit corporation (PBC), committed to balancing the interests of customers, employees, society, and investors.As a Work Anywhere company, we empower you with the flexibility to work from home or the office to thrive in your ideal environment.Become a part of our mission to transform the life sciences industry and make a meaningful impact for our customers, employees, and communities.The RoleVeeva Link plays a crucial role in the life sciences sector by connecting professionals with key individuals, thereby enhancing research and care. This platform significantly reduces the time-to-market for vital drugs, facilitates clinical trials with the most relevant experts, and disseminates information about new treatments within the life sciences community. Discover more about Veeva Link on our product pages at https://www.veeva.com/products/veeva-link/. As a Data Engineer, you will be instrumental in managing our data pipelines and will hold a significant responsibility in the Link data processing platform. We encourage end-to-end ownership, allowing you to identify, design, and implement enhancements to product data pipelines while adapting to the evolving market demands. You will be accountable for feature innovation employing SOLID and clean software principles, participating in architectural advancements, and ensuring the quality of outcomes. Monitoring and observability will be integral to your feature design process.

Veeva Systems is a pioneering organization with a mission to revolutionize the life sciences industry by accelerating the delivery of therapies to patients. As one of the fastest-growing SaaS companies in history, we have achieved over $2 billion in revenue in the last fiscal year, with substantial growth opportunities ahead.At Veeva, our core values guide us: Do the Right Thing, Customer Success, Employee Success, and Speed. We distinguished ourselves in 2021 by becoming a public benefit corporation, which legally binds us to balance the interests of our customers, employees, society, and investors.As a Work Anywhere company, we provide the flexibility to work from home or from our offices, enabling you to excel in your preferred environment.Join us in transforming the life sciences industry, as we are dedicated to making a positive impact on our customers, employees, and communities.The RoleWe envision Veeva Link as the global leader in deep data for life sciences. We are seeking a meticulous and skilled Data Analyst to join our product team.In this position, you will be instrumental in developing and executing a robust data governance framework, ensuring data accuracy, completeness, and integrity. Your primary responsibilities will involve establishing processes for data quality monitoring, identifying root causes of discrepancies, and collaborating with cross-functional teams to address data gaps.To excel in this role, proficiency in SQL and Python for data manipulation and automation is essential. You should also be comfortable managing large datasets, designing dashboards with actionable insights, and applying statistical methods to assess and enhance data quality.The ideal candidate will have experience in creating documentation (such as process documentation and data collection guidelines) and contributing to data governance policies and best practices.

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.

Veeva Systems is a pioneering organization dedicated to transforming the life sciences industry by leveraging cloud technology to expedite the delivery of therapies to patients. As one of the fastest-growing SaaS companies ever, we recently achieved over $2 billion in revenue and continue to expand rapidly.Our core values - Do the Right Thing, Customer Success, Employee Success, and Speed - guide our operations. 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 provide flexibility in your work environment, whether from home or in our office, enabling you to perform at your best.Join us in revolutionizing the life sciences sector, with a strong commitment to making a positive impact on our customers, employees, and communities.The RoleThe Link and OpenData vision aims to establish a global leadership position in deep and reference data for life sciences. Our products rely on meticulously curated data obtained through rule-based web research. We ensure high-quality data through streamlined processes. In your capacity as a Process Expert in Data Operations, you will enhance processes across our operational teams. This role includes simplifying and strengthening processes, optimizing tools, improving team interfaces, and implementing your enhancements organization-wide. You will collaborate closely with the Director of Data Operations. This position provides a unique opportunity to gain a comprehensive understanding of our data operations and familiarize yourself with the various Link and OpenData products while engaging with diverse projects and stakeholders. To excel in this role, you should possess strong conceptual thinking skills and a hands-on approach to problem-solving. You are a proactive...

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.

We are seeking a skilled Project Manager specialized in Data Analysis to join our dynamic team at inetum2. In this role, you will lead projects that leverage data to drive decision-making and optimize business processes. You will collaborate with cross-functional teams to ensure project success and deliver high-quality results.Key Responsibilities:Oversee the planning, execution, and completion of data analysis projects.Utilize data-driven insights to inform strategic business decisions.Coordinate with stakeholders to define project goals and deliverables.Implement best practices in project management and data analysis.