At a Glance
- Tasks: Deliver high-quality analytics for pharmaceutical clients using advanced data solutions.
- Company: Join a leading firm in the pharmaceutical analytics space.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with strong focus on career development.
- Why this job: Make a real impact by transforming complex data into actionable insights.
- Qualifications: Proficiency in Python/R, SQL, and experience with Databricks required.
The predicted salary is between 60000 - 80000 £ per year.
We are looking for a Senior Data Scientist to support our pharmaceutical clients in delivering high quality, insight driven analytics across complex clinical and research datasets. In this role, you will work closely with stakeholders across clinical, commercial, and analytics teams, acting as a trusted technical expert. You will design, develop, and deliver advanced analytics solutions using modern cloud-based data platforms, with a strong focus on clinical trial data and pharma specific data sources. This is a highly consultative role requiring strong analytical depth, technical expertise, and the ability to translate complex data into actionable insights for varied stakeholder groups.
Core Skills
- Strong proficiency in Python and/or R (essential)
- Advanced SQL skills with experience querying and transforming complex datasets
- Proven experience working with Databricks in production analytics environments
- Strong analytical mindset with the ability to work with large, complex data sets
- Experience communicating insights clearly to non-technical stakeholders
Domain and Platform Experience
- Hands on experience within the pharmaceutical industry, ideally supporting clinical trials, trial design and biostatistics.
- Strong understanding of clinical trial data sources, such as DQS, Citeline, or similar platforms.
- Experience working with Azure based data and analytics solutions.
- Familiarity with regulated data environments and high data quality standards.
Soft Skills
- Strong stakeholder management and relationship building skills
- Ability to balance technical delivery with business and domain context
- Confident communicator, able to explain complex analytical outputs in a clear and compelling way
- Collaborative and consultative approach to problem solving
What You Will Do
- Work closely with pharma and clinical stakeholders to understand analytical requirements
- Build and maintain scalable analytics solutions using Python/R, SQL, and Databricks
- Analyze and interpret complex clinical trial and pharma datasets
- Integrate and leverage clinical data sources such as DQS and Citeline
- Deliver insights that support evidence-based decision making across clinical and business teams
- Support best practices in data quality, governance, and reproducibility
- Act as a trusted analytics partner within multi-disciplinary client teams
Senior Data Scientist in Bristol employer: Acuity Analytics
As a Senior Data Scientist at our company, you will thrive in a dynamic and collaborative work culture that prioritises innovation and professional growth. We offer competitive benefits, including flexible working arrangements and opportunities for continuous learning, all while being part of a team dedicated to delivering impactful analytics solutions in the pharmaceutical sector. Located in a vibrant area, our office fosters a supportive environment where your expertise will be valued and your contributions will directly influence critical healthcare decisions.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist in Bristol
✨Tip Number 1
Network like a pro! Reach out to your connections in the pharmaceutical industry and let them know you're on the lookout for a Senior Data Scientist role. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your analytics projects, especially those involving clinical trial data. This will give potential employers a taste of what you can do and how you can add value to their teams.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in pharma analytics. Be ready to discuss how you've tackled complex datasets and delivered actionable insights in past roles.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Tailor your application to highlight your experience with Python, SQL, and Databricks, and show us why you're the perfect fit for the role.
We think you need these skills to ace Senior Data Scientist in Bristol
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Senior Data Scientist. Highlight your experience with Python, R, and SQL, and don’t forget to mention any hands-on work in the pharmaceutical industry. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this role. Share specific examples of how you've delivered insights from complex datasets and how you’ve communicated these to non-technical stakeholders. We love a good story!
Showcase Your Analytical Mindset:In your application, make sure to demonstrate your strong analytical mindset. Talk about your experience with large datasets and how you’ve tackled challenges in previous roles. We’re looking for someone who can turn data into actionable insights, so let that shine through!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at Acuity Analytics
✨Know Your Tech Inside Out
Make sure you brush up on your Python, R, and SQL skills before the interview. Be ready to discuss specific projects where you've used these tools, especially in relation to clinical trial data. This will show that you not only know the tech but can apply it effectively in a real-world context.
✨Understand the Pharma Landscape
Familiarise yourself with the pharmaceutical industry, particularly around clinical trials and biostatistics. Knowing platforms like DQS and Citeline will give you an edge. Be prepared to discuss how your experience aligns with the needs of pharma clients and how you can contribute to their analytics goals.
✨Communicate Like a Pro
Since you'll be working with non-technical stakeholders, practice explaining complex data insights in simple terms. Think of examples where you've successfully communicated findings to varied audiences. This will demonstrate your ability to bridge the gap between technical and non-technical teams.
✨Showcase Your Collaborative Spirit
This role is all about teamwork, so be ready to share experiences where you've worked closely with others to solve problems. Highlight your stakeholder management skills and how you've built relationships in past roles. This will illustrate your consultative approach and ability to work within multi-disciplinary teams.
