Senior Data Scientist - Fixed-Term Contract
Senior Data Scientist - Fixed-Term Contract

Senior Data Scientist - Fixed-Term Contract

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

  • Tasks: Join the Frontier team to shape AI-powered digital twins for better decision-making.
  • Company: Faculty, a leader in human-centric AI since 2014.
  • Benefits: Unlimited annual leave, private healthcare, flexible working, and coaching.
  • Why this job: Make a real impact with cutting-edge AI in healthcare and life sciences.
  • Qualifications: Senior-level data science experience, proficiency in Python, and strong statistical foundation.
  • Other info: Diverse and inclusive culture with excellent career growth opportunities.

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. Note: This is a fixed‑term contract for 12 months, aiming to start at the end of February.

About the team: The Faculty Frontier™ 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 & 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 - Fixed-Term Contract employer: Faculty

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 while making a meaningful impact across various sectors, particularly healthcare and life sciences. With standout benefits like unlimited annual leave, private healthcare, and flexible working arrangements, we ensure our team members thrive both professionally and personally in our vibrant London office.
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Contact Detail:

Faculty Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Data Scientist - Fixed-Term Contract

✨Tip Number 1

Network like a pro! Reach out to people in the industry, attend meetups, and connect with Faculty employees on LinkedIn. A personal introduction can make all the difference when it comes to landing that interview.

✨Tip Number 2

Prepare for those interviews! Research Faculty's projects and their approach to AI. Be ready to discuss how your experience aligns with their mission and how you can contribute to their Decision Intelligence Platform.

✨Tip Number 3

Showcase your skills! Bring a portfolio of your data science projects to the interview. Highlight your experience with Python, model validation, and any innovative solutions you've developed—this will impress the hiring team.

✨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 - Fixed-Term Contract

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

Some tips for your application 🫡

Show Your Passion for AI: When writing your application, let us see your enthusiasm for AI and its real-world applications. Share any projects or experiences that highlight your intellectual curiosity and how you envision using AI to make a positive impact.

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. Highlight your proficiency in Python and data science techniques, and don’t forget to mention any leadership roles you've taken on.

Be Clear and Concise: We appreciate clarity! Keep your application straightforward and to the point. Use bullet points where necessary to make it easy for us to see your key achievements and skills at a glance.

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 keen to join our team!

How to prepare for a job interview at Faculty

✨Know Your AI Stuff

Make sure you brush up on your knowledge of AI and data science concepts, especially those mentioned in the job description. Be ready to discuss your experience with Python, libraries like NumPy and Pandas, and any deep learning frameworks you've used. This will show that you're not just familiar with the tools but can also apply them effectively.

✨Showcase Your Problem-Solving Skills

Prepare to discuss specific examples where you've tackled complex problems in data science. Think about how you translated real-world issues into technical strategies and the impact your solutions had. This will demonstrate your ability to drive value through your work, which is crucial for this role.

✨Collaborate Like a Pro

Since you'll be working in cross-functional teams, highlight your experience collaborating with engineers, designers, and product leads. Share stories that showcase your leadership mindset and how you foster a collaborative culture. This will help interviewers see you as a team player who can lead data science efforts effectively.

✨Understand the Company’s Vision

Familiarise yourself with Faculty's mission and the Frontier product. Be prepared to discuss how your skills and experiences align with their goals, particularly in optimising decision-making processes. Showing that you understand their vision will set you apart as a candidate who is genuinely interested in contributing to their success.

Senior Data Scientist - Fixed-Term Contract
Faculty

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