# Senior Data Scientist at Artefact

Senior Data Scientist at Artefact in 17th Floor, 5 Aldermanbury Square, London, EC2V 7HR. Full-time. Posted February 13, 2026.

- Company: Artefact
- Location: 17th Floor, 5 Aldermanbury Square, London, EC2V 7HR
- Job type: Full-time
- Posted: 2026-02-13
- Apply: https://job-boards.greenhouse.io/artefact/jobs/8422392002
- Source: https://jobmagic.ai/jobs/senior-data-scientist-artefact-c2e61d

## Requirements

- Education: A Bachelor's or Master’s degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or a related quantitative field.
- Project & Team Leadership: Demonstrable experience supervising team members, taking responsibility for project delivery, defining technical tasks, and presenting project updates to both internal and client stakeholders.
- Advanced Modelling: Proven ability to implement a range of complex models such as time-series forecasting, gradient boosting, clustering, NLP, and Bayesian inference.
- ML-Ops & Orchestration: Strong experience with MLOps tools for orchestration, experiment tracking, hyper-parameter tuning, and deploying automated model retraining pipelines.
- Programming & Data Engineering: Proficiency in object-oriented Python, advanced dataframes (Polars/Pyspark), and data versioning (DVC). Experience designing data storage solutions and using object-oriented SQL interfaces.
- Cloud & DevOps: Hands-on experience with at least two major cloud providers (AWS, Azure, GCP), including app deployment, database services (e.g., RDS, CosmosDB), and infrastructure-as-code (Terraform). Solid understanding of CI/CD for testing and containerisation.

## Description

### Who we are

- **Artefact** is a leading global consulting firm dedicated to accelerating the adoption of data and AI. We work with a variety of businesses, from supermarket chains, to private equity firms and telecoms; including Nissan, L'Oréal, Carrefour, WHSmith, Orange, Beiersdorf, BNP Paribas, and Samsung.

- Our success stems from combining advanced data technologies, agile methods for quick delivery, and dedicated teams of data scientists, data engineers, business consultants, and data analysts.

- Our **1,800 employees** operate in **25 countries** (Americas, Europe, Asia, Middle East, India, Africa) and we partner with **1,000+ clients**.

### What you will be doing

As a **Senior Data Scientist **in our **London office**, your role will encompass:

- Designing and implementing advanced data science and machine learning solutions to solve complex business problems.

- Taking ownership of project streams, from defining technical deliverables and timelines to presenting updates to client steering committees.

- Supervising and mentoring team members on code, deployment, and best practices.

- Architecting and deploying robust, scalable solutions using modern cloud technologies and MLOps principles.

### Qualifications

### Necessary education and experience

- **Education**: A Bachelor's or Master’s degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or a related quantitative field.

- **Project & Team Leadership**: Demonstrable experience supervising team members, taking responsibility for project delivery, defining technical tasks, and presenting project updates to both internal and client stakeholders.

- **Advanced Modelling**: Proven ability to implement a range of complex models such as time-series forecasting, gradient boosting, clustering, NLP, and Bayesian inference.

- **ML-Ops & Orchestration**: Strong experience with MLOps tools for orchestration, experiment tracking, hyper-parameter tuning, and deploying automated model retraining pipelines.

- **Programming & Data Engineering**: Proficiency in object-oriented Python, advanced dataframes (Polars/Pyspark), and data versioning (DVC). Experience designing data storage solutions and using object-oriented SQL interfaces.

- **Cloud & DevOps**: Hands-on experience with at least two major cloud providers (AWS, Azure, GCP), including app deployment, database services (e.g., RDS, CosmosDB), and infrastructure-as-code (Terraform). Solid understanding of CI/CD for testing and containerisation.

### Desirable experience

- **Advanced Education**: A Master's degree or PhD in a relevant field is a strong plus.

- **Parallelisation & Performance**: Experience with parallelisation frameworks like Pyspark or Ray.

- **Advanced Cloud & Infrastructure**: Familiarity with serverless deployments (e.g., Fargate, Lambdas), infrastructure automation with Terratest or Ansible.