Senior Data Scientist

Harnham; Manchester; Remote; GBP 59,000 - 70,000; Full time

Job summary

A leading tech scale-up is looking for a Senior Data Scientist to join their Forecasting Algorithms team. This remote-first role involves designing and deploying demand forecasting models, collaborating with various stakeholders, and contributing to the company's data science frameworks. Ideal candidates will have a strong background in machine learning and statistics, along with experience in demand forecasting. The position offers a competitive salary of up to £70,000 plus equity, along with excellent benefits.

Benefits

Private Healthcare

Mental Health Support

Nursery Benefit

Generous PTO

Qualifications

• Strong background in statistics and machine learning.
• Experience in demand forecasting or operations research.

Responsibilities

• Design and deploy time series forecasting models.
• Improve model performance and drive innovation.
• Develop internal ML libraries using Python.

Skills

Statistics

Machine Learning

Time Series Forecasting

Communication

Problem Solving

Tools

Python

Job description

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Base pay range

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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:

1. Design and deploy time series forecasting models with a strong focus on accuracy and scalability
2. Improve existing model performance and drive innovation through new methodologies
3. Develop internal ML and forecasting libraries using Python
4. Translate product goals into technical solutions in collaboration with leadership
5. Implement validation frameworks, unit tests, and monitoring pipelines
6. Stay current with advances in machine learning and apply them where appropriate
7. Adopt a DevOps-first approach for model deployment

Skills & Experience:

1. Strong background in statistics, machine learning, and time series forecasting
2. Experience with modern ML models (e.g., transformers, CNNs, attention mechanisms)
3. Proficiency in writing production-level Python code
4. Familiarity with CI/CD practices, testing, and model validation
5. Confident working across teams and taking ownership of delivery
6. Strong communication and problem-solving skills
7. Experience in demand forecasting or operations research
8. Familiarity with Bayesian methods, Monte Carlo simulations, or reinforcement learning
9. 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.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Analyst

Industries

• Staffing and Recruiting

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