At a Glance
- Tasks: Join us to design AI agents that solve complex real-world problems in healthcare and life sciences.
- Company: Faculty, a leader in responsible AI with a focus on human-centric technology.
- Benefits: Enjoy unlimited annual leave, private healthcare, and flexible working arrangements.
- Other info: Diverse and inclusive team culture with excellent career growth opportunities.
- Why this job: Make a real impact by shaping the future of AI in critical decision-making processes.
- Qualifications: Senior-level experience in data science, proficiency in Python, and a strong statistical foundation.
The predicted salary is between 36000 - 60000 £ per year.
We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we've worked with over 350 global customers to transform their performance through human-centric AI. We don’t chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence.
Our business, and reputation, is growing fast and we’re always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology. AI is an epoch-defining technology, join a company where you’ll be empowered to envision its most powerful applications, and to make them happen.
Note: This is a fixed-term contract for 12 months, aiming to start at the end of February.
About the team: The Faculty Frontier TM product is our ambitious vision to create the first enterprise-grade platform that unifies decision intelligence with AI Agents to optimise real-world outcomes of critical processes across large-scale organisations. You will work on highly complex and consequential problems across the real economy, with particular focus on healthcare and life sciences.
About the role: Join the Frontier team to shape the future of our Decision Intelligence Platform by delivering AI-powered digital twins that elevate organisational decision-making. As a Senior Data Scientist, solving highly complex and consequential problems and helping enterprise users interact with cutting-edge AI. This is a unique, entrepreneurial role where you will drive real value by combining scientific rigor with a business-focused approach to advance our AI Agent and Decision Hub capabilities.
What you’ll be doing:
- Designing and building agents in high-consequence environments, where outputs need to be validated to a high standard.
- Performing exploratory data analysis, model building, validation, and performance monitoring.
- Leading data science efforts within cross-functional delivery teams—partnering with engineers, designers, and product leads for successful outcomes.
- Understanding deeply core customer problems to ensure technical solutions drive real value.
- Translating real-world problems into technical strategies and measuring model impact with scientific rigor.
Who we’re looking for:
- You have senior-level experience in data science or quantitative research.
- You’re proficient in Python and essential libraries (NumPy, Pandas, scikit-learn), plus familiarity with a deep-learning framework (e.g., TensorFlow, PyTorch).
- You possess a strong foundation in statistics and mathematics.
- You’re experienced across the full data science toolkit—including supervised/unsupervised learning, time-series, Bayesian methods, and model validation—and can develop new algorithms when needed.
- You bring a leadership mindset centred on technical excellence, team growth, and a collaborative culture.
- You exhibit scientific rigor and a business-focused approach: translating problems into technical strategies and measuring model impact.
- You’re product-oriented, deeply understanding user needs and how Frontier can deliver value to them.
- It would be great if you had experience building and evaluating agents using eval-driven development (although not a must-have).
The Interview Process:
- Talent Team Screen (30 minutes)
- Technical Interview (90 minutes)
- Principles Interview (45 minutes)
Our Recruitment Ethos: We aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We’re united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations.
Some of our standout benefits:
- Unlimited Annual Leave Policy
- Private healthcare and dental
- Enhanced parental leave
- Family-Friendly Flexibility & Flexible working
- Sanctus Coaching
- Hybrid Working (2 days in our Old Street office, London)
If you don’t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please do apply or reach out to our Talent Acquisition team for a confidential chat - Please know we are open to conversations about part-time roles or condensed hours.
Senior Data Scientist in London employer: Faculty AI
At Faculty, we pride ourselves on being an exceptional employer that champions innovation and collaboration in the field of AI. Our commitment to employee well-being is reflected in our unlimited annual leave policy, private healthcare, and family-friendly flexibility, all within a vibrant work culture located in the heart of London. Join us to not only advance your career as a Senior Data Scientist but also to contribute to meaningful projects that have a real-world impact across various sectors, including healthcare and life sciences.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Faculty on LinkedIn or other platforms. Ask them about their experiences and insights into the company culture. This can give you a leg up in understanding what they value and how you can align your skills with their needs.
✨Tip Number 2
Prepare for the technical interview by brushing up on your Python skills and familiarising yourself with the libraries mentioned in the job description. Practise solving real-world data problems, as this will help you demonstrate your expertise and problem-solving abilities during the interview.
✨Tip Number 3
Showcase your leadership mindset! Be ready to discuss past projects where you led teams or contributed to cross-functional efforts. Highlight how you drove value through collaboration and technical excellence, as this aligns perfectly with what Faculty is looking for.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, it shows you’re genuinely interested in joining Faculty and are willing to take that extra step.
We think you need these skills to ace Senior Data Scientist in London
Some tips for your application 🫡
Show Your Passion for AI:When writing your application, let us see your enthusiasm for AI and how it can transform industries. Share any personal projects or experiences that highlight your curiosity and commitment to this field.
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter to reflect the specific skills and experiences mentioned in the job description. We want to see how your background aligns with our mission and the role of Senior Data Scientist.
Highlight Your Technical Skills:Be clear about your proficiency in Python and the essential libraries we use. Mention any relevant projects where you've applied your data science toolkit, especially in high-consequence environments, as this is crucial for us.
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 shows you’re serious about joining our team!
How to prepare for a job interview at Faculty AI
✨Know Your AI Inside Out
Make sure you brush up on your knowledge of AI technologies, especially those relevant to decision intelligence and AI agents. Be prepared to discuss how you've applied these technologies in real-world scenarios, as this will show your understanding and experience in the field.
✨Showcase Your Data Science Toolkit
Be ready to demonstrate your proficiency in Python and its libraries like NumPy and Pandas. Prepare examples of projects where you've used supervised and unsupervised learning techniques, and be ready to explain your approach to model validation and performance monitoring.
✨Emphasise Collaboration
Since the role involves working with cross-functional teams, highlight your experience in collaborating with engineers, designers, and product leads. Share specific examples of how your leadership mindset has contributed to successful project outcomes.
✨Understand the Business Impact
Prepare to discuss how your technical solutions have driven real value for users. Think about how you've translated complex problems into actionable strategies and how you've measured the impact of your models in a business context.