Data Scientist | London | AI-Powered SaaS Company

Holborn and Covent Garden
8 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Data Scientist | Equity (L/S) Hedge Fund

Data Scientist

Research Scientist | Diffusion Modelling | Python | PyTorch | Machine Learning | Generative Mod[...]

Principal Data Engineer

Engineering Manager, Machine Learning, Marketplace, Ecommerce, | 35 Million Users | UK Remote O[...]

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.

Neurodiversity in Machine Learning Careers: Turning Different Thinking into a Superpower

Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world. That makes it a natural home for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists. This guide is written for neurodivergent ML job seekers in the UK. We’ll explore: What neurodiversity means in a machine learning context How ADHD, autism & dyslexia strengths map to ML roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.