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Senior Data Scientist

Artefact, 17th Floor, 5 Aldermanbury Square, London, EC2V 7HR +1

Artefact has this job in 1 other place

Jakarta, Jakarta, Indonesia

Posted pay

Pay not posted

Location: 17th Floor, 5 Aldermanbury Square, London, EC2V 7HR +1
Work type: Not given
Level: Senior
Skills in the job text: Python
AWS
SQL
GCP
Azure
Terraform
Ansible
Posted: Feb 13, 2026
Last check: 7 h ago
Job type: Data science, Inference & ML systems, ML / AI engineering

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Artefact

About Artefact: funding, hiring and pay

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Nice to have

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.

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.

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.

About Artefact

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

Read the job posting on the Artefact site

Source: the Artefact Greenhouse job board. We last checked this job 7 h ago. We first saw it 5 days ago. A job on a job board does not always mean that the team interviews people now. We found this job board in a public list. We did not yet compare it with the careers page of the company.

Artefact

Open tech jobs: 57
With posted pay: 2%

About Artefact: funding, hiring and pay