Senior Data Scientist

JR United Kingdom; Milton Keynes; On-site; GBP 50,000 - 80,000; Full time

Job summary

A leading tech company in the hospitality and transportation sector is seeking a Full Stack Data Scientist to develop and enhance forecasting models. In this hands-on role, you'll manage the model development lifecycle and apply cutting-edge machine learning techniques to influence business decisions. Candidates with a PhD and strong experience in time series analysis and forecasting methodologies are preferred.

Qualifications

• Strong experience in building forecasting models with modern ML techniques.
• Deep understanding of time series analysis and related methodologies.
• Comfortable in a collaborative environment.

Responsibilities

• Lead improvements to deployed forecasting models.
• Design and build internal ML and forecasting libraries.
• Translate business objectives into measurable results.

Skills

Machine Learning

Forecasting Models

Time Series Analysis

Statistics

Education

PhD in relevant field

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