Senior Data Scientist

JR United Kingdom; Warrington; Remote; GBP 55,000 - 70,000; Full time

Job summary

A leading tech scale-up is seeking a Senior Data Scientist to join their Forecasting Algorithms team. This remote-first role offers the opportunity to design and deploy cutting-edge forecasting models that support pricing decisions within the travel and hospitality sectors. As part of a world-class team, you will harness advanced machine learning methodologies to drive commercial strategies in a growing AI-driven environment.

Benefits

Private healthcare

Mental health support

Nursery benefit (UK)

Generous PTO

Qualifications

• Strong background in statistics and machine learning.
• Experience in demand forecasting is beneficial.
• Proficiency in Python for production-level coding.

Responsibilities

• Design and deploy time series forecasting models.
• Implement validation frameworks and monitoring pipelines.
• Collaborate across teams on technical solutions.

Skills

Statistics

Machine Learning

Time Series Forecasting

Python

Communication

Problem Solving

Job description

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Senior Data Scientist, warrington, cheshire

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Posted:

31.05.2025

Expiry Date:

15.07.2025

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Job Description:

Senior Data Scientist

Location: Remote-first (UK-based)

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
• DevOps-first approach for model deployment

Skills & Experience:

• 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
• 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.