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- Tasks: Lead the design of AI solutions that optimise decision-making in high-stakes sectors.
- Company: Join Faculty, a leader in applied AI with a visionary culture.
- Benefits: Enjoy unlimited annual leave, private healthcare, and professional coaching.
- Other info: Collaborative environment with opportunities to mentor emerging talent.
- Why this job: Make a real impact by creating AI-driven 'Computational Twins' for major organisations.
- Qualifications: 4+ years in data science, expert Python skills, and strong statistical knowledge.
The predicted salary is between 85000 - 105000 £ per year.
Join Faculty’s Frontier team to build Computational Twins—sophisticated AI replicas of complex organizational systems. You will lead the design and deployment of production-grade decision intelligence solutions for high-stakes sectors like healthcare and life sciences. This role blends deep technical ML expertise with strategic client leadership to solve critical real-world challenges at scale.
Location: London, UK
Why this role is remarkable:
- Work at the forefront of Decision Intelligence creating "Computational Twins" that simulate entire business processes for organizations like the NHS and global pharma leaders.
- Join a PhD-heavy technical culture recently recognized by Gartner as a Visionary, now backed by Accenture’s global infrastructure to scale your impact internationally.
- Enjoy high-end benefits including an unlimited annual leave policy, private healthcare, dental, and specialized professional coaching through Sanctus.
What you will do:
- Design and build AI-driven digital reflections of complex systems using supervised learning, time-series, and Bayesian methods to optimize critical decision processes.
- Lead cross-functional squads of engineers and designers to deliver end-to-end production-grade AI solutions directly to senior stakeholders.
- Mentor and develop emerging data science talent through technical leadership, code reviews, and potential line management responsibilities.
The ideal candidate:
- Possesses 4+ years of professional experience in data science or quantitative research with a strong foundation in statistics and mathematics.
- Demonstrates expert-level Python proficiency (NumPy, Pandas) and deep familiarity with frameworks.
Senior Data Scientist ( –£105,000) at Faculty employer: Jack & Jill/External Ats
Contact Detail:
Jack & Jill/External Ats Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist ( –£105,000) at Faculty
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Faculty on LinkedIn. A friendly chat can give us insider info and might even lead to a referral, which is always a bonus!
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Since this role involves AI and decision intelligence, make sure we can discuss your experience with supervised learning and Bayesian methods confidently.
✨Tip Number 3
Showcase your leadership skills! Be ready to share examples of how you've mentored others or led projects. Faculty values collaboration, so let’s highlight our ability to work in cross-functional teams.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the Faculty team.
We think you need these skills to ace Senior Data Scientist ( –£105,000) at Faculty
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Scientist role. Highlight your experience with AI, machine learning, and any relevant projects that showcase your skills in building decision intelligence solutions.
Craft a Compelling Cover Letter: Your cover letter should tell us why you're passionate about AI and how your background aligns with our mission at Faculty. Share specific examples of your work that demonstrate your expertise and leadership in data science.
Showcase Your Technical Skills: Don’t forget to highlight your technical skills, especially your proficiency in Python and any frameworks you’ve worked with. We want to see how you’ve applied these skills in real-world scenarios, so be specific!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and ensure it gets the attention it deserves!
How to prepare for a job interview at Jack & Jill/External Ats
✨Know Your Stuff
Make sure you brush up on your technical skills, especially in Python and machine learning frameworks. Be ready to discuss your past projects in detail, focusing on the methodologies you used and the impact they had.
✨Understand the Company
Research Faculty and their work with Computational Twins. Familiarise yourself with their projects in healthcare and life sciences, and think about how your experience aligns with their mission and values.
✨Showcase Leadership Skills
Since this role involves mentoring and leading teams, prepare examples of how you've successfully led projects or developed talent in your previous roles. Highlight your ability to communicate complex ideas to non-technical stakeholders.
✨Ask Insightful Questions
Prepare thoughtful questions that demonstrate your interest in the role and the company. Inquire about their approach to decision intelligence and how they envision the future of AI in their projects. This shows you're not just interested in the job, but also in contributing to their vision.