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

Nominate & Attend

Junior Data Scientist

Artefact
england, ecr eb
8 months ago
Create job alert

Location:London, UK (Hybrid)
Type:Full-Time

Who we are

Artefact is a new generation of data service provider, specialising in data-driven consulting and data-driven digital marketing. We are dedicated to transforming data into business impact across the entire value chain of organisations. With skyrocketing growth, Artefact has established a global presence with over 1,000 employees across 20 offices worldwide.

Our data-driven solutions are designed to meet the specific needs of our clients, leveraging our deep AI expertise and innovative methodologies. Our cohesive teams of data scientists, engineers, and consultants are focused on accelerating digital transformation, ensuring tangible results for every client.

Role Profile

A Data Scientist at Artefact will work together with consultants as a joint team on client projects. Leverage machine learning, AI, and statistical techniques to solve specific business problems.

Responsibilities

Develop and maintain code to deliver data science solutions. Work together with business consultants to understand and document client needs. Follow a structured skill development program aimed at advancing to a Senior Data Scientist role. Contribute to ongoing research and academic initiatives. Simplify and communicate technical concepts to non-technical stakeholders.

Required skills

Data: Design and implement storage solutions with SQL, NoSQL, cloud storage, data versioning, validation, and advanced dataframe handling (Polars/PySpark).Python: Utilise virtual environments, object-oriented programming, data classes, and data manipulation libraries for scripting and visualisation.Repository: Manage code with single-branch PRs/MRs, CI/CD pipelines, pre-commit hooks, and Markdown documentation for building, testing, and deploying.Cloud: Leverage cloud infrastructure (e.g., AWS EC2), databases, and configuration with markup files for remote management and deployment.Model: Implement models (e.g., linear regression, gradient boosting) with training/testing datasets, cross-validation, performance visualisation, and use hosted APIs; explore techniques like time-series forecasting, clustering, or Bayesian inference.Orchestration and Parallelisation: Manage workflows with tools like Metaflow, MLFlow, AirFlow, or DVC; utilise parallelisation frameworks like PySpark or Ray for efficient model processing.

Desirable skills

A Master’s degree in a quantitative field Exposure to cloud platforms (AWS, Azure, GCP)

Why you should join us

Artefact is revolutionizing marketing:join us to build the future of marketingProgress: every day offers new challenges and new opportunities to learnCulture:Check out our website (Artefact.com) or Instagram (Artefact UK) to find out more about our diverse, vibrant culture hereEntrepreneurship: you will be joining a team of driven entrepreneurs. We won’t give up until we make a huge dent in this industry!

Hit apply, and see whether what we offer is what you’ve been looking for!

Related Jobs

View all jobs

Junior Data Scientist

Junior Data Scientist

Junior Data Scientist - pHD

Junior Data Scientist

Junior Data Scientist

Junior Data Scientist

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.

AI Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide – we refresh it every quarter so you always know who’s really scaling their artificial‑intelligence teams. Artificial intelligence hiring has roared back in 2025. The UK’s boosted National AI Strategy funding, record‑breaking private investment (£18.1 billion so far) & a fresh wave of generative‑AI product launches mean employers are jockeying for data scientists, ML engineers, MLOps specialists, AI product managers, prompt engineers & applied researchers. Below are 50 organisations that have advertised UK‑based AI vacancies in the past eight weeks or formally announced growth plans. They’re grouped into five easy‑scan categories so you can jump straight to the kind of employer – & culture – that suits you. For each company you’ll find: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, culture, mission) Use the internal links to browse current vacancies on ArtificialIntelligenceJobs.co.uk – or set up a free job alert so fresh roles land in your inbox.

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

Stepping back into the workplace after a career break can feel like embarking on a whole new journey—especially in a cutting-edge field such as artificial intelligence (AI). For parents and carers, the challenge isn’t just refreshing your technical know-how but also securing a role that respects your family commitments. Fortunately, the UK’s tech sector now boasts a wealth of return-to-work programmes—from formal returnships to flexible and hybrid opportunities. These pathways are designed to bridge the gap, equipping you with refreshed skills, confidence and a supportive network. In this comprehensive guide, you’ll discover how to: Understand the booming demand for AI talent in the UK Leverage transferable skills honed during your break Overcome common re-entry challenges Build your AI skillset with targeted training Tap into returnship and re-entry programmes Find flexible, hybrid and full-time AI roles that suit your lifestyle Balance professional growth with caring responsibilities Master applications, interviews and networking Whether you’re returning after maternity leave, eldercare duties or another life chapter, this article will equip you with practical steps, resources and insider tips.

LinkedIn Profile Checklist for AI Jobs: 10 Tweaks That Triple Recruiter Views

In today’s fiercely competitive AI job market, simply having a LinkedIn profile isn’t enough. Recruiters and hiring managers routinely scout for top talent in machine learning, data science, natural language processing, computer vision and beyond—sometimes before roles are even posted. With hundreds of applicants vying for each role, you need a profile that’s optimised for search, speaks directly to AI-specific skills, and showcases measurable impact. By following this step-by-step LinkedIn for AI jobs checklist, you’ll make ten strategic tweaks that can triple recruiter views and position you as a leading AI professional. Whether you’re a fresh graduate aiming for your first AI position or a seasoned expert targeting a senior role, these actionable changes will ensure your profile stands out in feeds, search results and recruiter queues. Let’s dive in.