Senior Data Scientist

Location: Remote-first (UK-based)
Salary: £70,000

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.

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.

• 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

• Python (Pandas, Polars, SciPy, Scikit-learn, NumPy)

• Dagster, Argo, GCP

• Kibana, Elastic

• DevOps-first approach for model deployment

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

• 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

To apply, please send your CV to Daniel Abbasi via the Apply link on this page.