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Remote Data Scientist - Analytics Business Consulting

£32.4 - £36 per hourEstimated
Full-time

building advanced analytical models and methodologies, integrating Veeva Data Cloud products with complex European healthcare data assets. You will drive innovation across our analytical offerings, ensuring Veeva remains at the forefront of data-led, tech-enabled Life Sciences commercial models. You will also collaborate closely with cross-functional teams to bridge technical modeling with practical business insights across European markets. You will take ownership of any of our analytics assets (e.g., Process, harmonize, and connect Veeva Data Cloud products with diverse European healthcare data assets Develop and apply statistical methodologies, machine learning, and AI models to solve complex, high-impact commercial and strategic business questions in the Life Sciences space Build and design HCP precision engagement engines that connect disparate healthcare datasets integrated seamlessly with customer CRM information to enable personalized, data-driven targeting and activation

Collaborate closely in integrated, cross-functional teams alongside product managers, data engineers, operations, and consultants to deliver end-to-end analytical solutions and ensure continuous feedback and iteration Maintain clear documentation of data methodologies, model architectures, and validation processes to ensure defensibility, scalability, and transparency across client engagements 2+ years of proven experience in data science, advanced analytics, or machine learning roles, preferably within Life Sciences, pharmaceuticals, or healthcare analytics Strong technical expertise across Python, SQL, advanced analytics, machine learning, and AI, with a proven ability to design and implement predictive models and intelligent algorithms that solve complex business problems You bring Experience writing process documentation, technical specifications, and data collection guidelines to ensure quality, scalability, and repeatability across projects Experience delivering SaaS or Tech-enabled
consulting solutions D. in Computer Science, Statistics, Data Science, Mathematics, or a related quantitative field Languages in addition to English Understanding of healthcare, life sciences, or pharmaceutical industry data Experience with data visualization tools to create dashboards and reports Understanding of data engineering concepts (ETL, data pipelines) and automation tools such as Apache Airflow Familiarity with cloud based computing resources such as AWS Compensation: Highly competitive salary and equity in Veeva Unrivalled career progression in a fast-growing, global team You can work from home or the office on any given day #As an equal opportunity employer, Veeva is committed to fostering a culture of inclusion and growing a diverse workforce. Diversity makes us stronger. Gender, race, ethnicity, religion, politics, sexual orientation, age, disability and life experience shape us all into unique individuals. If you need assistance or accommodation due to

Veeva is building the industry cloud for Life Sciences through software, data, AI, and business consulting working together. Learn more about our products, vision, values, and status as a Public Benefit Corporation (PBC) on our website . Consulting is changing, and we re not like other firms. Launched in 2019, Veeva Business Consulting has grown quickly and organically to over 500 global experts who combine deep domain knowledge with innovative technology to help Life Sciences companies work in a more efficient and connected way. We are seeking great people to help shape the future of the industry with the world s leading software, data, AI, and expertise at their back. As a Data Scientist in our EU Analytics practice , you will help customers bring treatments to patients faster by transforming how they work with Technology, Data, and AI. You will focus on reshaping operating models, driving organizational change, and measuring tangible business value. You will play a pivotal role in
Vacancy posted 7 days ago
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