Data Scientist

La Fosse Associates; London; Hybrid; GBP 63,000 - 75,000; Full time

Job summary

A leading SaaS start-up in London is looking for a Data Scientist to join its dynamic team. In this hybrid role, you'll build predictive models, generate insights, and influence product strategy. Ideal candidates will have at least 3 years of data science experience and strong skills in predictive modelling and communication to succeed in a fast-paced environment.

Benefits

Bonus

Career growth opportunities

Qualifications

• Minimum 3 years of experience in data science.
• Strong skills in predictive modelling and forecasting.
• Ability to communicate data findings clearly.

Responsibilities

• Build and deploy predictive models and forecasting solutions.
• Generate actionable insights for product teams.
• Communicate complex data findings to non-technical stakeholders.

Skills

Predictive modelling

Forecasting

Communication skills

Job description

Job Benefits: Bonus

Data Scientist – SaaS Start-up

Salary: Up to £75,000 per annum
Location: Hybrid – 3 days per week in the London office

About the role

We are partnered with a product-led SaaS start-up seeking a Data Scientist to join their growing team. This role offers the opportunity to contribute directly to product development and business growth in a hypergrowth environment.

Responsibilities

• Build and deploy predictive models and forecasting solutions.

• Work with product teams to generate actionable insights.

• Clearly communicate complex data findings to non-technical stakeholders.

• Help shape the future of data science within the business.

Requirements

• At least 3 years of experience in data science.

• Strong skills in predictive modelling and forecasting.

• Excellent communication skills, with the ability to explain data insights in a clear and actionable way.

• Comfortable working in a fast-paced, start-up environment.

Why join?

This is a fantastic opportunity to make a tangible impact, influence product strategy, and grow your career within a dynamic SaaS business