Senior Data Scientist

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

Job summary

An innovative Tech company seeks a Full Stack Data Scientist for their Forecasting Algorithms team in Cambridge. This hands-on role entails developing and optimizing forecasting models using advanced Machine Learning techniques while collaborating with both technical and non-technical stakeholders for impactful insights.

Qualifications

• Strong experience building and implementing forecasting models using modern ML techniques.
• Deep understanding of time series analysis, statistics, and forecasting methodologies.
• Comfortable in a collaborative, cross-functional environment.

Responsibilities

• Lead efforts to improve the performance and scalability of deployed forecasting models.
• Design and build internal ML and forecasting libraries.
• Translate business objectives into measurable results.

Skills

Machine Learning

Forecasting

Time Series Analysis

Statistics

Collaboration

Education

PhD

Job description

Social network you want to login/join with:

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