Senior Data Scientist at Faculty delivering AI-powered digital twins for decision intelligence. Working on complex problems in healthcare and life sciences with a focus on building a positive legacy through technology.
Responsibilities
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
Requirements
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)
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)
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