At a Glance
- Tasks: Lead AI solutions for pharma and biotech, architecting ML models and mentoring 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 development 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.
Benefits:
- 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 employer: Jack & Jill
As a leading applied AI consultancy for Life Sciences, we offer an exceptional work environment that combines intellectual rigor with flexibility. Our PhD-heavy culture fosters innovation and collaboration, allowing you to make a significant impact on healthcare outcomes while enjoying benefits like unlimited annual leave and a hybrid working model in London. Join us to advance your career in a role that not only challenges you technically but also empowers you to mentor others and lead transformative projects in the life sciences sector.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist at Applied AI consultancy for Life Sciences
✨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. You never know who might have a lead on that Senior Data Scientist role!
✨Tip Number 2
Showcase your skills! Create a portfolio of your best projects, especially those related to AI solutions in healthcare. Use platforms like GitHub to share your code and demonstrate your expertise in Python and deep-learning frameworks. This will make you stand out when we’re looking for someone with your background.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss how you've tackled complex problems in drug discovery or clinical trials. We love candidates who can articulate their thought process and show how they can lead project delivery effectively.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at the intersection of AI and healthcare.
We think you need these skills to ace Senior Data Scientist at Applied AI consultancy for Life Sciences
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Senior Data Scientist. Highlight your experience in life sciences, AI solutions, and any relevant projects that showcase your skills in Python and deep learning frameworks.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about AI in healthcare. Share specific examples of how you've tackled challenges in drug discovery or clinical trials, and how you can contribute to our mission.
Showcase Your Technical Skills:Don’t just list your skills; demonstrate them! Include links to projects or GitHub repositories where we can see your work with production-grade ML models and software architectures. We love seeing practical applications!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you’re considered for the role without any hiccups!
How to prepare for a job interview at Jack & Jill
✨Know Your Stuff
Make sure you brush up on your knowledge of life sciences and the specific challenges faced in the sector. Be ready to discuss how your experience aligns with the regulatory and data complexities that come with it.
✨Showcase Your Technical Skills
Prepare to demonstrate your proficiency in Python and deep-learning frameworks like PyTorch. Bring examples of past projects where you've architected production-grade ML models, and be ready to explain your thought process behind them.
✨Client-Focused Mindset
Since this role involves working with high-stakes clients, think about how you can translate complex business problems into actionable solutions. Prepare to discuss any client-facing experiences you've had and how you’ve led workshops or presentations.
✨Mentorship Matters
As a senior data scientist, you'll be expected to mentor others. Think about your leadership style and be prepared to share examples of how you've fostered growth in your team. Highlight any best practices you've implemented in previous roles.
