Data Scientist | London | AI-Powered SaaS Company

Holborn and Covent Garden
9 months ago
Applications closed

Related Jobs

View all jobs

Product Data Scientist

Data Scientist | Equity (L/S) Hedge Fund

London Data Scientist & ML Engineer | AWS, Python

Climate Data Scientist

CRM Personalization ML Lead | Data Science Manager

Sports Data Scientist

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.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.