At a Glance
- Tasks: Analyse data and create impactful visualisations to support pharma strategies.
- Company: Join a leading global team at Veeva, focused on innovation and inclusion.
- Benefits: Highly competitive salary, equity, and flexible work options.
- Other info: Fast, respectful hiring process with excellent career growth opportunities.
- Why this job: Make a real difference in healthcare by uncovering insights that matter.
- Qualifications: MD/PhD/MSc with data analytics experience and strong communication skills.
The predicted salary is between 60000 - 80000 £ per year.
The Role
As a Data Scientist in our Analytics Business Consulting practice, you will use your expertise in scientific data and healthcare knowledge to support the creation of meaningful business insights through data analytics, data science, and data visualization; answering critical business questions facing senior executives in global pharma today.
What You'll Do
- Analyze data from Veeva Data Cloud and also external data
- Design, build, and maintain visualizations/dashboards/data pipelines to identify relevant data trends
- Leverage machine learning, NLP, GenAI, and other data science techniques to uncover insights
- Clearly and confidently describe the data structure and analytical approach you adopt to solve a specific business question
- Work in a collaborative cross-functional team delivering business-relevant data analytics and insights for pharma to support their R&D, pre-launch, launch, and post-launch strategies
- As required, present your findings and recommendations to senior stakeholders at pharma and justify your findings
- Support innovation and large-scale transformative insights projects
Requirements
- Experience: MD/PhD/MSc with thorough understanding of scientific activities from medical experts (congresses, publications, etc.)
- Experience with data analytics and large/complex datasets
- Analytical Rigor: A strong mindset for both quantitative and qualitative reasoning
- Communication: Ability to articulate complex ideas clearly to senior stakeholders
- Education: Bachelor’s degree or higher
Nice to Have
- Experience with business intelligence tools (Tableau, Spotfire, PowerBI, Qlik, etc.)
- Experience with Python, prompt engineering, machine learning, or NLP
- Experience in structuring and successfully executing large and complex insights projects
The Process
Our process is different than most. It is designed to be fast, efficient and respectful. Here are the steps:
- You submit your resume, short cover letter of questions, and take a personality assessment
- Within 5-10 business days, we will notify you via email if we would like to go to the next step or not
- The next step is a 45-minute interview with a leader of the practice, followed by a job history interview and case exercise. You will have one week to prepare for the case exercise
- Within one week after the case exercise, we will give you an offer or let you know that we do not wish to move forward
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
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.
Insights Analyst/Data Scientist - Analytics Business Consulting in London employer: Veeva Systems, Inc.
At Veeva, we pride ourselves on being an exceptional employer, offering a highly competitive salary and equity alongside unrivalled career progression within our fast-growing global team. Our flexible work culture allows you to choose between working from home or the office, fostering a collaborative environment where diverse perspectives are valued and innovation thrives. Join us to make meaningful contributions in the healthcare sector while enjoying a supportive and inclusive workplace.
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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.