Data Scientist

La Fosse Associates
London, England
9 months ago
Applications closed

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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

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If you have been watching AI job boards over the past year, one title keeps surfacing again and again: the forward deployed engineer, or FDE. It has gone from a niche term known mainly to Palantir alumni to arguably the hottest role in the entire AI hiring market. Job postings for forward deployed engineers have exploded, salaries have climbed past levels most software engineers will ever see, and the biggest names in AI — OpenAI, Anthropic, Google, Salesforce, Databricks and Palantir — are all competing for the same small pool of talent. So what exactly is an AI forward deployed engineer, why has demand surged so dramatically, and how do you position yourself to land one of these roles? This guide breaks it all down for AI engineers, software engineers and data scientists looking at their next move.