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Data Scientist (forecasting)

ZipRecruiter

Manchester

Remote

GBP 59,000 - 70,000

Full time

17 days ago

Job summary

A leading SaaS company in the hospitality sector is seeking a Data Scientist (Forecasting) to work in a primarily remote role. You will work on advanced ML techniques and deploy end-to-end models while collaborating with a talented team, contributing to vital forecasting projects. An MSc or PhD along with strong Python skills are essential.

Benefits

Fantastic extra benefits

Qualifications

  • MSc or PhD level of education required.
  • Strong Python and Pandas skills.
  • Experience in forecasting and ML necessary.

Responsibilities

  • Build and deploy ML models end-to-end.
  • Forecast revenue and explore clustering techniques.
  • Collaborate within a high-calibre team.

Skills

Python
Pandas
Statistics
Machine Learning
Forecasting

Education

MSc or PhD

Tools

GCP

Job description

Job Description

DATA SCIENTIST (FORECASTING)

£70,000 + BENEFITS

PRIMARILY REMOTE

If you're are a highly educated individual (MSc, PhD) looking to work on meaningful data science problems in a remote, research-led environment, this could be a great fit.

THE COMPANY:

I'm working on a fantastic opportunity with a fast-growing SaaS company that's transforming how the hospitality sector approaches pricing and forecasting. The team is applying advanced ML techniques to solve real commercial problems-everything from demand forecasting to booking behaviour clustering and light NLP use cases.

THE ROLE:

You'd join a high-calibre team in a full-stack data science role where you'll build and deploy models end-to-end, owning projects from experimentation to production. A Data Scientist (forecasting) will need to:

  • Building and deploying ML models (Python, Pandas, GCP)
  • Forecasting revenue
  • Exploring clustering techniques
  • Applying NLP to classify ancillary bookings
  • Collaborating with a small, high-calibre team of PhD-level Data Scientists, Engineers, and wider product team

YOUR SKILLS AND EXPERIENCE:

A successful Data Scientist will have the following skills and experience:

  • MSc or PhD level of education
  • Strong Python skills and experience with Pandas
  • Cloud experience e.g. GCP
  • A solid foundation in Statistics and ML.
  • Experience with forecasting

THE BENEFITS:

You will receive a salary, dependent on experience. Salary is up to £70,000 On top of the salary there are some fantastic extra benefits.

HOW TO APPLY

Please register your interest by sending your CV to Molly Bird via the apply link on this page.

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