Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead data science projects, build AI-powered digital twins, and collaborate with cross-functional teams.
- Company: Join Faculty, a leader in human-centric AI, serving over 300 global customers.
- Benefits: Gain insights from top professionals and enjoy a unique professional challenge.
- Why this job: Be part of a diverse team driving innovation and solving real-world problems with AI.
- Qualifications: Experience in data science, strong Python skills, and excellent communication abilities required.
- Other info: Register your interest to be first in line for future Data Scientist openings.
The predicted salary is between 36000 - 60000 £ per year.
About Faculty
At Faculty, we transform organisational performance through safe, impactful, and human-centric AI. With a decade of experience, we serve over 300 global customers with software, bespoke AI consultancy, and Fellows from our award-winning Fellowship programme. Our expert team combines leaders from government, academia, and global tech giants to solve major challenges in applied AI. If you join us, you will work with and learn from some of the brightest minds bringing Frontier AI to the frontlines. We are always seeking talented individuals whose principles align with ours. While no specific vacancies are open now, registering your interest for the Data Scientist Talent Pool will make you among the first to hear about relevant openings in our Frontier Team as they become available.
What you will be doing:
As a Data Scientist in Frontier, you will lead data science efforts on project teams configuring our product Frontier for clients. Each deployment involves building a computational twin, an AI-powered digital twin, which is primarily the responsibility of our data scientists to design and develop. This role involves understanding customer problems deeply to ensure technical solutions deliver value. Core tasks include exploratory data analysis, model building, and evaluation. Additional responsibilities include:
- Leading within a cross-functional team working with engineers, designers, and commercial staff to deliver value.
- Building strong client relationships and shaping project directions.
- Contributing to the development of other data scientists through activity and potentially line management.
Who we are looking for:
- Experience in professional data science or a quantitative academic field.
- Strong Python programming skills demonstrated through prior work.
- Proficiency with data science libraries (NumPy, Pandas, Scikit-Learn) and familiarity with deep learning frameworks (TensorFlow, PyTorch).
- High mathematical competence and statistical proficiency.
- Knowledge of standard data science techniques and ability to develop new algorithms.
- Understanding of the scientific method in a business context, with problem-solving creativity and a rigorous evaluation mindset.
- Some commercial experience, especially with client-facing work or project management, and excellent communication skills.
- Leadership experience in guiding data science teams, project planning, and feasibility assessment.
- A product mindset focused on user needs and delivering value with Frontier.
What we can offer you:
Our diverse team shares a deep intellectual curiosity that drives us. Faculty offers a professional challenge like no other, surrounded by brilliant minds working toward shared goals. You will learn from a variety of professionals across disciplines, gaining new insights every day.
Data Scientist - Talent Pool employer: Faculty
Contact Detail:
Faculty Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - Talent Pool
✨Tip Number 1
Familiarise yourself with Faculty's mission and values. Understanding their focus on human-centric AI will help you align your discussions during networking or interviews, showcasing how your principles resonate with theirs.
✨Tip Number 2
Engage with the data science community by attending relevant meetups or webinars. This not only helps you stay updated on industry trends but also allows you to connect with professionals who might have insights into upcoming opportunities at Faculty.
✨Tip Number 3
Build a portfolio that highlights your experience with Python and data science libraries. Showcase projects that demonstrate your ability to solve real-world problems, as this will be crucial in proving your skills when opportunities arise.
✨Tip Number 4
Consider reaching out to current or former employees of Faculty on platforms like LinkedIn. Ask them about their experiences and any advice they might have for someone looking to join the team, which can provide valuable insights and connections.
We think you need these skills to ace Data Scientist - Talent Pool
Some tips for your application 🫡
Understand the Company: Familiarise yourself with Faculty's mission and values. Highlight how your principles align with theirs in your application to show that you're a good fit for their culture.
Tailor Your CV: Make sure your CV reflects your experience in data science and highlights your Python programming skills, familiarity with data science libraries, and any leadership roles you've held. Use specific examples to demonstrate your expertise.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also expresses your enthusiasm for working with AI and your desire to contribute to Faculty's projects. Mention any relevant client-facing experience and your approach to problem-solving.
Showcase Your Projects: If applicable, include links to your previous work or projects that demonstrate your data science skills, particularly those involving exploratory data analysis, model building, and evaluation. This will give Faculty insight into your practical abilities.
How to prepare for a job interview at Faculty
✨Showcase Your Technical Skills
Make sure to highlight your Python programming skills and familiarity with data science libraries like NumPy, Pandas, and Scikit-Learn. Be prepared to discuss specific projects where you applied these skills, as this will demonstrate your hands-on experience.
✨Understand the Business Context
Faculty values a strong understanding of the scientific method in a business context. Be ready to explain how you've approached problem-solving creatively in past roles and how your solutions delivered value to clients.
✨Demonstrate Leadership Experience
If you have experience leading data science teams or managing projects, make sure to share those stories. Discuss how you guided your team, planned projects, and assessed feasibility, as this aligns with what Faculty is looking for.
✨Build Rapport with Interviewers
Since building strong client relationships is key in this role, practice your communication skills. Engage with your interviewers by asking insightful questions about their work and the challenges they face, showing that you're genuinely interested in contributing to their team.