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For Companies At a Glance
- 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 leave, private healthcare, and professional coaching.
- Other info: Collaborate with top talent and scale your impact globally.
- Why this job: Make a real impact by creating AI replicas for organisations like the NHS.
- Qualifications: 4+ years in data science with strong Python skills and 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 and Jill AI
Contact Detail:
Jack and Jill AI 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 advanced AI techniques, make sure we can confidently discuss supervised learning, time-series analysis, and Bayesian methods.
✨Tip Number 3
Showcase our leadership skills! Be ready to share examples of how we've mentored others or led projects. Faculty values collaboration, so demonstrating our ability to work with cross-functional teams will set us apart.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets seen by the right people. Plus, it shows we’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 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 and Jill AI
✨Know Your Stuff
Make sure you brush up on your machine learning concepts, especially supervised learning and Bayesian methods. Be ready to discuss how you've applied these in real-world scenarios, particularly in high-stakes sectors like healthcare.
✨Showcase Your Leadership Skills
Since this role involves leading cross-functional teams, prepare examples of how you've successfully managed projects or mentored others. Highlight your experience in guiding teams to deliver AI solutions and how you’ve interacted with senior stakeholders.
✨Be Ready for Technical Questions
Expect some deep dives into your technical skills, especially with Python and data manipulation libraries like NumPy and Pandas. Practise coding challenges or case studies that demonstrate your problem-solving abilities and technical expertise.
✨Understand the Company’s Vision
Familiarise yourself with Faculty's mission and recent projects, especially around Computational Twins. Being able to articulate how your skills align with their goals will show your genuine interest and help you stand out as a candidate.