Data Scientist | London | AI-Powered SaaS Company

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

Related Jobs

View all jobs
Spotlight

Senior ML Compiler Engineer

Fractile Bristol, United Kingdom
Spotlight

Senior ML Runtime Engineer

Fractile London, United Kingdom

Senior Data Scientist

Opus Recruitment Solutions London, United Kingdom
£60,000 – £80,000 pa Remote

Data Scientist - Defence & Security

eFinancialCareers London, United Kingdom
£75,000 pa On-site Clearance Required

Senior ML Engineer

eFinancialCareers London, United Kingdom
£60,000 pa Hybrid Clearance Required

Data Science Manager - Logistics

Ocado London, United Kingdom
Hybrid

Data Science Lead - Logistics

Ocado London, United Kingdom
Hybrid

Senior Software Engineer - Platform Runtime

PhysicsX London, United Kingdom
Posted
24 Apr 2025 (14 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

Industry Insights

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

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Where to advertise machine learning jobs UK in 2026: the specialist boards and communities that reach ML, MLOps and deep learning engineering talent. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.