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)
Head of Data Strategy leading and developing data initiatives for Zurich's GI Business. Focusing on data strategy, governance, and analytics while fostering collaboration across teams.
Medical Analyst analyzing engagement effectiveness with advanced analytics solutions aligned with Medical business strategies. Collaborating with cross - functional teams to provide insights for US Medical Affairs.
Research Fellow/Trainee in Women's Health using Data Science and Health Information Technology. Developing interdisciplinary research skills and methodologies focusing on health research.
Senior Data Scientist developing Asset Management Analytics for Queensland Rail. Contributing to organisational KPIs and enhancing asset performance through data analysis and modelling.
Senior Data Science Advisor providing data for business decisions and developing solutions. Role involves advanced analytics in the property and casualty insurance industry with a focus on model development.
Cientista de Dados Sênior na Deroyque, integrando a equipe e dominando o ciclo completo de Machine Learning. Transformando dados em decisões inteligentes em ambiente híbrido.
Data Scientist at LawDepot optimizing the Checkout experience through data - driven decisions. Involves statistical analysis, experiment design, and collaboration to enhance revenue growth.
Data Scientist leveraging data insights and machine learning for operational efficiency and innovation. Collaborate with stakeholders to drive impactful strategic decisions.
Data Scientist at Sun Life leveraging data and analytics to support client - centric solutions. Collaborating with business units to apply advanced analytics and drive measurable value.