Data Scientist
Ai-powered
Charing Cross, United Kingdom
11 days ago
Role details
Contract type
Temporary contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
SeniorJob location
Charing Cross, United Kingdom
Tech stack
Artificial Intelligence
Data analysis
Python
NumPy
TensorFlow
PyTorch
Deep Learning
Model Validation
Pandas
Scikit Learn
Performance Monitor
Unsupervised Learning
Job description
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, solving highly complex and consequential problems and helping 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
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 & conditions
- 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)
About the company
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.
Note: This is a fixed-term contract for 12 months, aiming to start at the end of February
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.