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Senior Data Scientist

La Fosse

London

On-site

GBP 70,000 - 110,000

Yesterday

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An innovative SaaS company is seeking a talented Senior Data Scientist to enhance their AI-driven forecasting models. This role involves developing and refining predictive models that optimize staffing based on various data sources, including weather and historical trends. Join a dynamic team at a cutting-edge start-up that values collaboration and creativity, where your expertise will directly impact real-world business outcomes. With a strong industry presence and a vibrant work culture in Camden, this is an exciting opportunity to advance your career in a rapidly growing field. If you're passionate about data science and want to make a difference, this role is perfect for you.

Generous equity

Great work culture

Collaborative environment

Office in Camden

2-10 years’ experience in data science and predictive modelling.
Strong background in revenue forecasting and demand prediction.

Develop and refine forecasting models to predict daily sales patterns.
Integrate external factors into predictive analytics.

Data Science

Predictive Modelling

Python

SQL

AWS

Machine Learning

Computer Vision

Master's Degree in Data Science or related field

AWS

Machine Learning Frameworks

Senior Data Scientist (Mid and/or Senior)

Location: Camden, London (4 days in-office)
Salary: £70,000 - £110,000 + generous equity
Cutting edge start-up.

La Fosse have partnered with a well-funded SaaS company that is transforming workforce management through cutting-edge AI-driven forecasting and predictive models.

The platform helps businesses optimise staffing based on predicted sales, leveraging data from multiple sources such as weather patterns, events, and historical trends.

With strong industry partnerships and a push to scale the SaaS product, they are now looking for a highly skilled Data Scientist (mid or snr) to play a key role in refining the models.

Key Responsibilities:

Develop and refine forecasting models to predict daily sales patterns.
Integrate external factors (e.g., weather, sporting events) into predictive analytics.
Provide technical expertise on model development and implementation.
Optimise model performance for real-world business impact.

Ideal Requirements:

2-10 years’ experience in data science and predictive modelling.
Strong background in revenue forecasting, demand prediction, or similar fields.
Proficiency in Python, SQL, AWS and experience with ML frameworks.
Experience in Computer Vision is a plus.
Strong academic background (master’s from Cambridge, UCL, Imperial, or similar preferred).

Why Join?

Be part of a scaling tech company with a strong industry presence.
Work on cutting-edge AI models that impact real businesses.
Collaborate with a talented data and engineering team.
Great work culture and office environment in Camden.

If you’re interested in this role and feel you meet some of the requirements, apply through the AD to find out more!

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