At a Glance
- Tasks: Design and scale advanced analytics solutions for Life Sciences customers across Europe.
- Company: Join Veeva, a fast-growing tech company transforming Life Sciences with data and AI.
- Benefits: Highly competitive salary, equity, unrivalled career progression, and flexible work options.
- Other info: Work from anywhere and be part of a diverse, inclusive team shaping the future.
- Why this job: Make a real impact in healthcare by leveraging cutting-edge technology and data.
- Qualifications: 2+ years in data science, strong problem-solving skills, and expertise in Python and SQL.
The predicted salary is between 63000 - 77000 £ per year.
Veeva is building the industry cloud for Life Sciences through software, data, AI, and business consulting working together. 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.
The Role
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
We value your time and believe in a transparent hiring process. Here is the process you can expect. 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, and a final conversation with our group's Senior Leader. Once all interviews are complete, the manager will be in touch with a final decision.
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.
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.
Remote data scientist - analytics business consulting in Glossop employer: Veeva Systems
Veeva Systems is an exceptional employer that champions a Work Anywhere culture, allowing you the flexibility to choose between home or office work. With a strong focus on employee growth, you will have the opportunity to lead significant global projects, mentor talented teams, and engage in thought leadership, all while being part of a collaborative and innovative environment that values your contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Remote data scientist - analytics business consulting in Glossop
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We think you need these skills to ace Remote data scientist - analytics business consulting in Glossop
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Veeva Systems. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Veeva Systems
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.