Senior Data Scientist

Senior Data Scientist

Full-Time 36000 - 60000 £ / year (est.) Home office (partial)
F

At a Glance

  • Tasks: Shape the future of AI by delivering powerful digital twins for decision-making.
  • Company: Join Faculty, a leader in human-centric AI with a mission to innovate responsibly.
  • Benefits: Enjoy unlimited leave, private healthcare, and flexible working options.
  • Other info: Diverse and inclusive team culture with excellent growth opportunities.
  • Why this job: Make a real impact in healthcare and life sciences with cutting-edge technology.
  • Qualifications: Senior-level experience in data science, proficient in Python and statistical methods.

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.

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 - talent@faculty.ai Please know we are open to conversations about part‑time roles or condensed hours.

Senior Data Scientist employer: Faculty

At Faculty, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As the Head of Banking AI Transformation, you will have the opportunity to lead transformative projects in a rapidly evolving sector while benefiting from our commitment to employee growth through continuous learning and development. Located in a vibrant area, our team enjoys a supportive environment that values diversity and encourages meaningful contributions to the financial services landscape.

F

Contact Details:

Faculty Recruitment 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. Personal connections can give you an edge!

Tip Number 2

Prepare for those technical interviews! Brush up on your Python skills and be ready to discuss your experience with data science tools. Practise explaining complex concepts in simple terms, as communication is key in cross-functional teams.

Tip Number 3

Show your passion for AI and its applications! During interviews, share your thoughts on how AI can solve real-world problems, especially in healthcare and life sciences. This will demonstrate your alignment with Faculty's mission.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the Faculty team.

We think you need these skills to ace Senior Data Scientist

Python
NumPy
Pandas
scikit-learn
TensorFlow
PyTorch
Statistics

Some tips for your application 🫡

Show Your Passion for AI:When writing your application, let your enthusiasm for AI shine through! We want to see how you connect with our mission of building responsible AI that makes a real impact. Share any personal projects or experiences that highlight your passion.

Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter for the Senior Data Scientist role. Highlight your relevant experience in data science, especially your work with Python and machine learning frameworks. We love seeing how your skills align with our needs!

Be Clear and Concise:Keep your application clear and to the point. Use straightforward language to explain your experience and achievements. We appreciate candidates who can communicate complex ideas simply, as this reflects the kind of clarity we value in our work.

Apply Through Our Website:Don’t forget to apply 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 at Faculty!

How to prepare for a job interview at Faculty

Know Your AI Inside Out

Make sure you’re well-versed in the latest AI trends and technologies, especially those relevant to decision intelligence. Brush up on your knowledge of Python and libraries like NumPy and Pandas, as well as deep learning frameworks like TensorFlow or PyTorch. Being able to discuss how these tools can solve real-world problems will impress your interviewers.

Showcase Your Problem-Solving Skills

Prepare to discuss specific examples where you've tackled complex data science challenges. Think about how you translated real-world issues into technical strategies and the impact of your solutions. This will demonstrate your ability to drive value through scientific rigor and a business-focused approach.

Collaborate Like a Pro

Since this role involves working with cross-functional teams, be ready to talk about your experience collaborating with engineers, designers, and product leads. Highlight instances where your leadership mindset contributed to team growth and successful project outcomes. This shows you’re not just a tech whiz but also a team player.

Understand the Company’s Mission

Familiarise yourself with Faculty's vision and the impact they aim to create through AI. Be prepared to discuss how your values align with theirs and how you can contribute to their mission of building responsible AI. This will show that you’re not just looking for a job, but are genuinely interested in being part of their journey.