At a Glance
- Tasks: Lead AI solutions for pharma and biotech, architect ML models, and mentor teams.
- Company: Top applied AI consultancy recently acquired by Accenture, focused on life sciences.
- Benefits: Unlimited annual leave, hybrid working model, and impactful work in healthcare.
- Other info: Join a PhD-led culture committed to responsible AI and engineering excellence.
- Why this job: Make a difference in drug discovery and patient outcomes with cutting-edge AI.
- Qualifications: Expertise in Life Sciences, Python, and deep-learning frameworks required.
The predicted salary is between 70000 - 90000 £ per year.
Leading applied AI specialist recently acquired by Accenture with a PhD-heavy technical culture.
Lead the development of bespoke AI solutions for global pharmaceutical giants and cutting-edge biotechs. You will architect production-grade ML models, design robust software frameworks, and mentor technical teams. This role bridges deep data science with strategic client delivery, tackling high-stakes challenges in drug discovery, clinical trials, and real-world evidence pipelines.
Work at the intersection of AI and healthcare, delivering high-impact solutions for biomarker discovery and drug development that affect patient outcomes. Join an intellectually rigorous, PhD-led environment known for its commitment to responsible AI and engineering excellence after a major 2026 acquisition. Benefit from a culture of extreme flexibility including an unlimited annual leave policy and a hybrid London-based working model.
Responsibilities:
- Architect core data science approaches and associated software architectures for high-stakes life sciences engagements.
- Lead project delivery end-to-end, serving as the technical authority for sophisticated clients including pharma giants and research hospitals.
- Mentor and manage a team of data scientists, fostering technical growth and ensuring the application of best practices across the project lifecycle.
Qualifications:
- Deep domain expertise in Life Sciences with proven experience navigating the sector's unique regulatory and data complexities.
- Fluent in production-grade Python and deep-learning frameworks like PyTorch, with the ability to build and deploy novel architectures.
- Strong commercial awareness with the ability to translate complex business problems into rigorous mathematical frameworks and lead client-facing workshops.
Senior Data Scientist at Applied AI consultancy for Life Sciences in London employer: Jack & Jill
As a leading applied AI consultancy for Life Sciences, we offer an intellectually stimulating environment where PhD-level expertise thrives. Our commitment to responsible AI and engineering excellence is matched by our extreme flexibility, including an unlimited annual leave policy and a hybrid working model in London. Join us to make a meaningful impact on patient outcomes while enjoying unparalleled opportunities for professional growth and mentorship.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist at Applied AI consultancy for Life Sciences in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the life sciences and AI sectors. Attend industry events or webinars, and don’t be shy about introducing yourself to potential employers. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Showcase your skills! Create a portfolio of your best projects, especially those related to AI solutions in healthcare. This will give you an edge when discussing your experience with potential employers. Remember, we want to see your work in action!
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you’ll need to communicate effectively with clients. We’re all about making sure you can bridge that gap between data science and client delivery!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and engaged. So, get your application in and let’s make some waves in the life sciences together!
We think you need these skills to ace Senior Data Scientist at Applied AI consultancy for Life Sciences in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Senior Data Scientist in Life Sciences. Highlight your experience with AI solutions, ML models, and any relevant projects that showcase your expertise in the sector.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI in healthcare and how your skills align with our mission at StudySmarter. Don’t forget to mention your mentoring experience and how you can contribute to our team.
Showcase Your Technical Skills:Be specific about your technical abilities, especially in Python and deep-learning frameworks like PyTorch. Include examples of how you've applied these skills in real-world scenarios, particularly in drug discovery or clinical trials.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Jack & Jill
✨Know Your Domain Inside Out
Make sure you brush up on your knowledge of life sciences and the specific challenges faced in the industry. Be prepared to discuss how your expertise can help tackle regulatory and data complexities, as this will show your understanding of the sector.
✨Showcase Your Technical Skills
Be ready to demonstrate your proficiency in Python and deep-learning frameworks like PyTorch. Consider preparing a portfolio of projects or examples where you've built and deployed ML models, as this will give you a chance to highlight your hands-on experience.
✨Prepare for Client-Facing Scenarios
Since this role involves leading client workshops, think about how you would translate complex business problems into mathematical frameworks. Practise explaining technical concepts in simple terms, as this will be crucial for engaging with clients effectively.
✨Emphasise Mentorship Experience
As mentoring is a key part of this role, be ready to share examples of how you've supported and developed other data scientists. Highlight any best practices you've implemented and how you've fostered a culture of growth within your teams.
