Senior Data Scientist

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Manchester / £60000 - £70000 annum

INFO

Salary
SALARY:

£60000 - £70000

Location

LOCATION

Manchester

Job Type
JOB TYPE

Permanent

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.

CONTACT

Daniel Abbasi

Recruitment Consultant

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