faculty
faculty3mo ago
New

Senior Data Scientist

Londonfull-timesenior
Data ScientistData
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Quick Summary

Overview

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.

Technical Tools
numpypandaspythonscikit-learndata-analysis

About the Role

~1 min read
  • Designing and building agents in high-consequence environments, where outputs need to be validated to a high standard

  • 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 impact with scientific rigor

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

  • You have senior-level experience in data science or quantitative research

  • You're proficient in Python and essential data science libraries (e.g. NumPy, Pandas, scikit-learn)

  • You possess a strong foundation in statistics and mathematics

  • You're experienced across the full data science toolkit — including supervised/unsupervised learning, time-series analysis, Bayesian methods, NLP, and model validation — and can develop new algorithms when needed

  • You have experience in the pharmaceutical or life sciences sector

  • 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 impact

  • You're product-oriented, deeply understanding user needs and how Frontier can deliver value to them

  • It would be great if you have experience building AI agents, following most recent best practices around evaluation, safety, and observability

  1. Talent Team Screen (30 minutes)

  2. Hiring Manager Introduction (30 minutes)

  3. Technical Interview (90 minutes)

  4. Product Interview (60 minutes)

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.

What We Offer

~1 min read
Unlimited Annual Leave Policy
Private healthcare and dental
Enhanced parental leave
Family-Friendly Flexibility & Flexible working
Sanctus Coaching
Hybrid Working

Location & Eligibility

Where is the job
London
Hybrid — some on-site time required
Who can apply
Same as job location

Listing Details

Posted
January 21, 2026
First seen
May 6, 2026
Last seen
May 8, 2026

Posting Health

Days active
0
Repost count
0
Trust Level
16%
Scored at
May 6, 2026

Signal breakdown

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facultySenior Data Scientist