National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Scientist | London | AI-Powered SaaS Company

Holborn and Covent Garden
2 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Senior Data Scientist

Senior Marketing Data Analytics Analyst (MMM's/Python/r)

Tutor

Senior Data Scientist

Data Science Placement Programme

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
National AI Awards 2025

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.

Careers

How to Present Data Engineering Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

As the demand for data engineers grows, so do the expectations. It’s not enough to build robust pipelines or optimise ETL jobs—UK employers now look for candidates who can also communicate clearly with stakeholders, especially those without technical backgrounds. Whether you're applying for a data engineering role in finance, healthcare, retail, or tech, your ability to explain complex systems in plain English is becoming one of the most valued soft skills in interviews and in the workplace. This guide will help you master public speaking for data engineering roles: from structuring your presentation and designing effective visuals, to simplifying terminology, storytelling and confidently answering stakeholder questions.

Jobs

Data Engineering Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their data engineering teams. Driven by the UK’s Digital Economy Strategy, the AI & GenAI boom, cheaper cloud storage and a squeeze on legacy batch pipelines, data engineering hiring is in overdrive for 2025. Employers from hyperscale tech firms to NHS trusts want lake‑house architects, streaming‑platform specialists, ETL developers, MLOps pipeline gurus, analytics engineers & FinOps‑savvy cost guardians—right now. Below you’ll find 50 organisations that posted UK‑based data engineering vacancies or announced head‑count growth in the last eight weeks. They’re grouped into five easy‑scan categories. For each company you’ll see its main UK hub, an example live or recent vacancy, and a quick reason it’s worth your time. Search any employer on DataEngineeringJobs.co.uk to view current ads, or set a free alert so fresh openings land straight in your inbox.

Careers Jobs

Return-to-Work Pathways: Relaunch Your Data Engineering Career with Returnships, Flexible & Hybrid Roles

Re-entering the workforce after a career break can feel like stepping into a rapidly shifting data pipeline—especially in a specialist field like data engineering. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data engineering sector now offers a variety of return-to-work pathways. From structured returnships to flexible, hybrid and full-time roles, these programmes recognise the value of your transferable skills and life experience. With tailored mentorship, targeted upskilling and supportive networks, you can confidently relaunch your data engineering career. In this guide, you’ll learn how to: Understand the current demand for data engineers in the UK Leverage your organisational, communication and problem-solving skills in data contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data engineering Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your relaunch with caring responsibilities Master applications, interviews and networking specific to data engineering Draw inspiration from real returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data pipeline developer, ETL specialist, big-data architect or analytics engineer, this article maps out the steps and resources you need to reignite your data engineering career.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.