Senior Data Scientist

Senior Data Scientist

Full-Time 43200 - 72000 ÂŁ / year (est.) No home office possible
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At a Glance

  • Tasks: Shape the future of AI by delivering innovative solutions in decision intelligence.
  • Company: Join Faculty, a leader in responsible AI with a focus on real-world impact.
  • Benefits: Enjoy unlimited annual leave, private healthcare, and family-friendly flexibility.
  • Why this job: Make a difference in critical sectors like healthcare while working with cutting-edge technology.
  • Qualifications: Senior-level experience in data science, proficient in Python and statistical methods.
  • Other info: Diverse and collaborative culture that values intellectual curiosity and positive impact.

The predicted salary is between 43200 - 72000 ÂŁ 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.

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, you will solve highly complex and consequential problems and help 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

Senior Data Scientist employer: The Rundown AI, Inc.

At Faculty, we pride ourselves on being an exceptional employer that champions innovation and personal growth in the field of AI. Our collaborative work culture fosters intellectual curiosity and empowers employees to tackle complex challenges, particularly in healthcare and life sciences, while enjoying standout benefits like unlimited annual leave and private healthcare. Join us to not only advance your career but also contribute to meaningful projects that have a real-world impact.
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Contact Detail:

The Rundown AI, Inc. Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Data Scientist

✨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 any tips they might have for the interview process. This insider info can give us a leg up!

✨Tip Number 2

Prepare for those technical interviews by brushing up on your Python skills and data science concepts. We recommend working through some real-world problems and showcasing your thought process. It’s all about demonstrating how you tackle complex challenges!

✨Tip Number 3

Don’t forget to highlight your leadership mindset! When discussing your past experiences, focus on how you’ve led teams or projects. We want to see that you can drive value and foster collaboration in a cross-functional environment.

✨Tip Number 4

Finally, apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows us you’re genuinely interested in being part of the Faculty team. Let’s make it happen!

We think you need these skills to ace Senior Data Scientist

Data Science
Python
NumPy
Pandas
scikit-learn
TensorFlow
PyTorch
Statistics
Mathematics
Supervised Learning
Unsupervised Learning
Time-Series Analysis
Bayesian Methods
Model Validation
Leadership

Some tips for your application 🫡

Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Senior Data Scientist role. Highlight your proficiency in Python, data science techniques, and any relevant projects that showcase your ability to solve complex problems.

Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about AI and how your background makes you a great fit for our team. Share specific examples of how you've driven value through data science in previous roles.

Showcase Your Problem-Solving Skills: In your application, emphasise your experience with exploratory data analysis and model validation. We want to see how you've tackled real-world problems and the impact your solutions have had on decision-making.

Apply Through Our Website: We encourage you to apply directly through our website. This way, we can ensure your application gets the attention it deserves, and you can easily keep track of your application status!

How to prepare for a job interview at The Rundown AI, Inc.

✨Know Your AI Inside Out

Make sure you brush up on your knowledge of AI technologies, especially those relevant to decision intelligence and digital twins. Be prepared to discuss how you've applied AI in real-world scenarios, particularly in high-consequence environments like healthcare.

✨Showcase Your Data Science Toolkit

Be ready to demonstrate your proficiency in Python and its libraries, as well as your understanding of various data science methodologies. Prepare examples of projects where you've used supervised/unsupervised learning or developed new algorithms to solve complex problems.

✨Emphasise Collaboration

Since the role involves working with cross-functional teams, highlight your experience in leading data science efforts alongside engineers and product leads. Share specific instances where your collaborative approach led to successful outcomes.

✨Translate Problems into Solutions

Prepare to discuss how you can translate real-world problems into technical strategies. Think about how you've measured model impact in previous roles and be ready to explain your scientific approach to ensuring that solutions drive real value for users.

Senior Data Scientist
The Rundown AI, Inc.
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