Design and scale advanced analytics, statistical, machine learning, and AI solutions for Life Sciences customers across Europe. Integrate Veeva Data Cloud with healthcare datasets, build HCP precision-engagement models, translate technical insights into business value, collaborate with cross-functional teams, and document methodologies, architectures, and validation processes.
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 growing aggressively as we look towards 2030. 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 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., design solution, manage expectations, status accountancy, impact measurement).
What You'll Do
- Design, prototype, and scale advanced analytics solutions for Life Sciences customers across European markets
- 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
Requirements
- 2+ years of proven experience in data science, advanced analytics, or machine learning roles, preferably within Life Sciences, pharmaceuticals, or healthcare analytics
- Strong problem-solving and communication skills, with a track record of collaborating effectively across cross-functional teams. Skilled at translating complex technical challenges to non-technical stakeholders, driving impactful problem-solving sessions, and championing a pragmatic approach to solution design
- 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
Nice to Have
- Knowledge of Veeva products
- Experience delivering SaaS or Tech-enabled consulting solutions
- M.S. or Ph.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
Interviewing with Veeva
- Follow the application process and submit your resume.
- Within 3 days, you will receive a link to a personality assessment administered by a third party.
- Once you complete the assessment, our team will review your full application package and follow up via email with our decision.
- If moving to the interview stage, the process is as follows:
- A conversation with the hiring manager
- A practical case exercise
- A final conversation with our group's Senior Leader.
- Once all interviews are complete, the manager will be in touch with a final decision.
We value your time and believe in a transparent hiring process. Here is the process you can expect.
Perks & Benefits
- Compensation: Highly competitive salary and equity in Veeva
- Growth: Unrivalled career progression in a fast-growing, global team
- Flexibility: Veeva is a Work Anywhere company. You can work from home or the office on any given day
#RemoteUK#LI-Associate
Veeva’s headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world.
As an equal opportunity employer, Veeva is committed to fostering a culture of inclusion and growing a diverse workforce. Diversity makes us stronger. It comes in many forms. Gender, race, ethnicity, religion, politics, sexual orientation, age, disability and life experience shape us all into unique individuals. We value people for the individuals they are and the contributions they can bring to our teams.
If you need assistance or accommodation due to a disability or special need when applying for a role or in our recruitment process, please contact us at [email protected].
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