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Senior Data Scientist

JR United Kingdom

Stoke-on-Trent

On-site

GBP 50,000 - 75,000

Full time

10 days ago

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Job summary

A leading tech company in the UK is seeking a Full Stack Data Scientist for their Forecasting Algorithms team. This hands-on position involves end-to-end model development to enhance decision-making in the hospitality and transportation sectors using advanced Machine Learning techniques. The ideal candidate will have a strong background in forecasting methodologies and be comfortable working across technical teams.

Qualifications

  • Strong experience in building forecasting models using ML.
  • Deep understanding of time series analysis and statistical methods.

Responsibilities

  • Improve performance and scalability of forecasting models.
  • Design and build ML and forecasting libraries.
  • Translate business objectives into measurable results.
  • Champion best practices in model development.

Skills

Forecasting models
Machine Learning techniques
Time series analysis
Statistics

Education

PhD preferred

Job description

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We are working with an exciting Tech company who are seeking a Full Stack Data Scientist to join their Forecasting Algorithms team. The company's aim is to use cutting edge Machine Learning techniques to influence decision making in the hospitality and transportation spacce.

You’ll be at the forefront of developing forecasting models, and supporting pricing strategies. This is a hands-on role where you'll own model development end-to-end—from design and testing to deployment and monitoring.

Key Responsibilities

  • Lead efforts to improve the performance and scalability of deployed forecasting models.
  • Design and build internal ML and forecasting libraries.
  • Contribute to product planning by translating business objectives into measurable results.
  • Champion best practices in model development, validation, and inference pipelines.
  • Stay current with state-of-the-art techniques in AI and ML and apply them effectively.
  • Work closely with technical and non technical stakeholders.

What You’ll Bring

  • PhD is highly preferred!
  • Strong experience building and implementing forecasting models using modern ML techniques.
  • Deep understanding of time series analysis, statistics, and forecasting methodologies.
  • Comfort working in a collaborative, cross-functional environment.

Please note, this role cannot offer sponsorship at this stage

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