Senior Data Scientist
Location: Remote-first (UK-based)
Salary: £70,000
The Company
A Series D tech scale-up is reshaping the travel and hospitality industries through advanced machine learning and forecasting. Purpose-built for this space, their platform leverages deep learning to drive revenue optimisation, automation, and real-time analytics. With a growing client base of major global travel brands, they’re hiring exceptional talent to push the boundaries of what’s possible in commercial strategy.
The Role
As a Senior Data Scientist within the Forecasting Algorithms team, you'll design and deploy high-frequency demand forecasting models that directly support pricing decisions. You’ll own the full development lifecycle—from modelling to deployment—while collaborating closely with science, product, and engineering stakeholders.
This is a hands-on role suited to someone who thrives on building, testing, and deploying complex statistical models in a production environment. You’ll work in a modern MLOps setup, contributing to libraries and frameworks used across the company’s data science organisation.
Key Responsibilities:
* Design and deploy time series forecasting models with a strong focus on accuracy and scalability
* Improve existing model performance and drive innovation through new methodologies
* Develop internal ML and forecasting libraries using Python
* Translate product goals into technical solutions in collaboration with leadership
* Implement validation frameworks, unit tests, and monitoring pipelines
* Stay current with advances in machine learning and apply them where appropriate
Tech Stack:
* Python (Pandas, Polars, SciPy, Scikit-learn, NumPy)
* Dagster, Argo, GCP
* Kibana, Elastic
* DevOps-first approach for model deployment
Skills & Experience:
Essential:
* Strong background in statistics, machine learning, and time series forecasting
* Experience with modern ML models (e.g. transformers, CNNs, attention mechanisms)
* Proficiency in writing production-level Python code
* Familiarity with CI/CD practices, testing, and model validation
* Confident working across teams and taking ownership of delivery
* Strong communication and problem-solving skills
Desirable:
* Experience in demand forecasting or operations research
* Familiarity with Bayesian methods, Monte Carlo simulations, or reinforcement learning
* Exposure to high-scale SaaS or B2C products
Why Apply?
* Build forecasting systems powering global commercial strategies
* Collaborate with a world-class data science team
* Up to £70,000 + equity in a high-growth AI company
* Excellent benefits: private healthcare, mental health support, nursery benefit (UK), and generous PTO
How to Apply
To apply, please send your CV to Daniel Abbasi via the Apply link on this page.