Senior Data Scientist

JR United Kingdom; Kingston upon Hull; On-site; GBP 50,000 - 70,000; Full time

Job summary

A leading tech company seeks a Senior Data Scientist to join their Forecasting Algorithms team. This role involves developing cutting-edge forecasting models and supporting pricing strategies, requiring strong experience in ML techniques and a PhD. Ideal candidates will thrive in a collaborative environment and leverage their expertise to influence key business decisions.

Qualifications

• 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.

Responsibilities

• Lead efforts to improve the performance and scalability of deployed forecasting models.
• Design and build internal ML and forecasting libraries.
• Champion best practices in model development, validation, and inference pipelines.

Skills

Machine Learning

Time Series Analysis

Statistics

Collaboration

Education

PhD

Job description

Social network you want to login/join with:

Senior Data Scientist, kingston upon hull, east yorkshire

col-narrow-left

Client:

Location:

kingston upon hull, east yorkshire, United Kingdom

Job Category:

Other

-

EU work permit required:

Yes

col-narrow-right

Job Views:

4

Posted:

31.05.2025

Expiry Date:

15.07.2025

col-wide

Job Description:

Senior Data Scientist – Forecasting

Remote - (Office in London)

Up to £70,000

About the Role

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