Senior Data Scientist

Reposted 4 Days Ago
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London, Greater London, England, GBR
In-Office
Senior level
Artificial Intelligence • Machine Learning • Big Data Analytics
The Role
Lead design and delivery of AI-powered digital twins and decision-intelligence solutions. Drive model development, validation, monitoring, and cross-functional collaboration. Mentor data scientists, support client relationships, and ensure production-grade AI solutions deliver measurable business impact.
Summary Generated by Built In
Why Faculty?


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. You can read about our real-world impact here.

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 us to shape the future of our Frontier Decision Intelligence Platform. As a Senior Data Scientist, you will lead the design and delivery of AI-powered digital twins that transform how organisations make critical decisions. You will sit at the heart of cross-functional teams, blending technical excellence with commercial insight to solve complex customer problems. This is an opportunity to mentor emerging talent while driving high-impact, production-grade AI solutions in a fast-paced, entrepreneurial environment.

What you’ll be doing:
  • Designing and building computational twins, creating AI-driven digital reflections tailored for each unique Frontier deployment.

  • Leading data science efforts within cross-functional teams, partnering with engineers, designers, and commercial leads to ensure successful project outcomes.

  • Understanding deeply core customer challenges to ensure every technical solution delivers significant real-world value.

  • Performing rigorous exploratory data analysis, model building, validation, and performance monitoring.

  • Supporting strong client relationships by working alongside our commercial team to shape the strategic direction of projects.

  • Mentoring and developing other data scientists through task leadership and potential line management.

Who we’re looking for:
  • You have senior-level experience in data science or quantitative research, supported by a strong foundation in statistics and mathematics.

  • You’re proficient in Python and essential libraries like NumPy and Pandas, with familiarity in deep-learning frameworks such as TensorFlow or PyTorch.

  • You possess a versatile toolkit—including supervised learning, time-series, and Bayesian methods—and the creativity to develop new algorithms when needed.

  • You bring a leadership mindset focused on technical excellence, team growth, and fostering a collaborative, inclusive culture.

  • You exhibit scientific rigour and a business-focused approach, successfully translating complex problems into actionable technical strategies.

  • You’ve demonstrated success in project planning and delivery, with the communication skills to present persuasively to senior stakeholders.

    The Interview Process

    1. Talent Team Screen (30 minutes)

    2. Technical Interview (90 minutes)

    3. Commercial Interview (60 minutes)

    #LI-PRIO

     

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

If you don’t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don't hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part-time hours.

Skills Required

  • Senior-level experience in data science or quantitative research
  • Strong foundation in statistics and mathematics
  • Proficiency in Python
  • Experience with NumPy and Pandas
  • Familiarity with deep-learning frameworks (TensorFlow or PyTorch)
  • Experience with supervised learning, time-series, and Bayesian methods
  • Demonstrated leadership, mentoring, or line management experience
  • Track record in project planning and delivery
  • Strong communication skills and ability to present to senior stakeholders
  • Experience working in cross-functional teams with engineers, designers, and commercial leads
Am I A Good Fit?
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The Company
HQ: London
663 Employees
Year Founded: 2014

What We Do

We build and deploy safe AI systems that combine the best of human and artificial intelligence to help our customers achieve exceptional performance.

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