Data Scientist | London | AI-Powered SaaS Company

CV-Library
Holborn and Covent Garden, Greater London
12 months ago
Applications closed

Related Jobs

View all jobs

Senior Software Engineer - Platform Runtime

PhysicsX London, United Kingdom

Senior Software Engineer - Platform Operations

PhysicsX London, United Kingdom

Senior Software Engineer - SRE Core Infrastructure

PhysicsX London, United Kingdom

Data Scientist, Integrity Measurement

OpenAI London, United Kingdom
Hybrid

Data Scientist – Cross Indication (12-month

Relation Therapeutics London, United Kingdom
£40,000 – £60,000 pa On-site

Commercial Data Scientist

Synthesia London, United Kingdom
Remote
Posted
24 Apr 2025 (12 months ago)

Data Scientist | London | AI-Powered SaaS Company

I’m working with an innovative AI-powered SaaS company who are looking for a bright and talented Data Scientist to join their team building solutions that transform complex data into actionable intelligence.

About the Company

Their SaaS based Data platform helps businesses unlock the full potential of their data, enabling clients to drive revenue growth and gain competitive advantage. With two live products and two cutting-edge AI solutions in development, they're at an exciting stage of rapid growth.

The Role

As a Data Scientist you will develop AI/ML-driven solutions that are scalable across multiple clients. They will work alongside AI Engineers and Product Teams to deliver real business impact through:

  • Building AI/ML models for predictive analytics, personalization, and commercial decision-making

  • Working with structured and unstructured data for feature engineering and analysis

  • Deploying models on major cloud platforms (AWS, Azure, GCP)

  • Applying mathematical techniques to solve pricing, promotions, and customer engagement challenges

    Requirements

  • First-class STEM degree (Mathematics, Statistics, Computer Science, Engineering) from a recognised University.

  • 1-2 years of experience in Data Science, AI, or ML (ideal for second-jobbers)

  • Strong foundation in applied mathematics, statistics, and probability

  • Proficiency in Python (Pandas, NumPy, Scikit-Learn)

  • Experience with cloud computing (AWS, Azure, or GCP)

  • SQL knowledge and database experience

  • Problem-solving mindset and good communication skills

    Why Join This Company?

  • Work on real-world AI challenges with major enterprises

  • Fast-track career growth with mentorship from senior experts

  • Gain valuable experience across multiple industries and cloud platforms

  • Competitive salary with genuine development opportunities

    Location: London (hybrid working 3 days in the office)
    Reports to: Chief Technology Officer

    APPLY TODAY FOR IMMEDIATE CONSIDERATION

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Where to Advertise AI Jobs in the UK (2026 Guide)

Advertising AI jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly informed and in demand across multiple sectors simultaneously. General job boards reach a broad audience but lack the specificity that AI professionals expect — and the filtering mechanisms they rely on. Specialist platforms, direct outreach and academic channels each serve a different part of the market. This guide, published by ArtificialIntelligenceJobs.co.uk, covers where to advertise AI roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about time-to-hire across different role types.

New AI Employers to Watch in 2026: UK and Global Companies Reshaping AI Careers

The artificial intelligence job market in the UK is evolving at an extraordinary pace. With record-breaking investment, government backing, and a surge in enterprise adoption, the landscape of AI employers is shifting rapidly. For candidates exploring opportunities on ArtificialIntelligenceJobs.co.uk, understanding who is hiring next is just as important as understanding what skills are in demand. In this article, we explore the new and emerging AI employers to watch in 2026, focusing on organisations that have recently secured funding, won major contracts, or expanded their UK footprint. From cutting-edge startups to global giants doubling down on Britain, these companies represent the next wave of AI career opportunities.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.