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- Tasks: Collaborate on innovative data science solutions using generative AI and machine learning.
- Company: Leading healthcare organisation focused on data-driven solutions.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Join a dynamic team and contribute to meaningful projects in a collaborative environment.
- Why this job: Make a real impact in healthcare by solving complex business problems with data.
- Qualifications: Experience in data science, NLP, and advanced analytics required.
The predicted salary is between 80000 - 100000 £ per year.
Are you a data scientist with experience in natural language processing, generative AI, machine learning, and advanced analytics, and looking to apply your expertise in a collaborative and intellectually stimulating environment? Are you passionate about the future of healthcare? Our enterprise data science team is looking for a Boston- or London-based data scientist with experience in using generative AI methods to solve complex business problems and a passion for addressing business needs through data analysis and solutions.
You will work on a highly collaborative team of data scientists, engineers, and strategists to deliver analytical insights and data products that drive value and impact for our highest priority business needs. You’ll work side-by-side with internal partners to apply advanced analytics and generative AI to complex, high-value business problems and digital solutions to deliver measurable decisions and outcomes that contribute meaningfully to our business and patients.
Key Duties And Responsibilities- Collaborate with a team of data scientists, engineers, and strategists and our cross-functional partners to conceptualize, deploy, and evaluate custom data science solutions for business problems using generative AI, NLP, machine learning, and other advanced analytical methods.
- Design and execute impact measurement plans (e.g. A/B tests) to quantify the value of these solutions.
- Lead quantitative assessment and insight generation for enterprise document ecosystem.
- Develop advanced insights related to enterprise adoption of generative AI tools such as custom agents.
- Build and deliver compelling data visualizations and outputs to communicate findings to technical collaborators, non-technical audiences, and business leaders.
- Participate in the broader data science community to stay current with methodology, software, and data development and availability.
- Bring an entrepreneurial and ethical mindset, openness, transparency.
Principal Data Scientist, Digital & AI in London employer: Vertex Pharmaceuticals
Contact Detail:
Vertex Pharmaceuticals Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Data Scientist, Digital & AI in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field, especially those who work with generative AI or NLP. A friendly chat can lead to insider info about job openings that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving machine learning and advanced analytics. This is your chance to demonstrate how you’ve tackled complex problems and delivered impactful solutions.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with generative AI and how you’ve collaborated with cross-functional teams to drive results. Practice makes perfect!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for passionate data scientists who want to make a difference in healthcare. Your next big opportunity could be just a click away!
We think you need these skills to ace Principal Data Scientist, Digital & AI in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Principal Data Scientist role. Highlight your expertise in natural language processing, generative AI, and machine learning to catch our eye!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about healthcare and how your background makes you a perfect fit for our team. Share specific examples of how you've tackled complex business problems using data science.
Showcase Your Projects: If you've worked on any relevant projects, especially those involving generative AI or advanced analytics, make sure to include them. We love seeing real-world applications of your skills!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Vertex Pharmaceuticals
✨Know Your Generative AI Inside Out
Make sure you brush up on your knowledge of generative AI methods and how they apply to real-world business problems. Be ready to discuss specific projects where you've used these techniques, as well as the outcomes they produced.
✨Showcase Your Collaborative Spirit
Since this role involves working closely with a team of data scientists, engineers, and strategists, be prepared to share examples of how you've successfully collaborated in the past. Highlight your ability to communicate complex ideas to both technical and non-technical audiences.
✨Prepare for Impact Measurement Discussions
Familiarise yourself with impact measurement plans like A/B testing. Be ready to explain how you've designed and executed such plans in previous roles, and how you quantified the value of your data science solutions.
✨Stay Current and Be Curious
Demonstrate your passion for the field by discussing recent trends in data science, particularly in NLP and advanced analytics. Show that you're actively engaged in the data science community and eager to learn about new methodologies and tools.