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 marketing
• Progress: every day offers new challenges and new opportunities to learn
• Culture: Check out our website (Artefact.com) or Instagram (Artefact UK) to find out more about our diverse, vibrant culture here
• Entrepreneurship: 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!