17th Floor, 5 Aldermanbury Square, London, EC2V 7HR
Open 6 months, first seen by us 204 days agoEmployment type in the employer’s posting: Full-timeFrom the employer’s posting
Design and implement advanced data science and machine learning solutions
Own project streams, from technical deliverables and timelines to client updates
Supervise and mentor team members on code, deployment and best practices
Architect and deploy scalable solutions using cloud technologies and MLOps
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.
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.
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.
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.
- 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.
- 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.
Artefact is a leading global consulting firm dedicated to accelerating the adoption of data and AI.
In the employer’s words · Read in context
Open 6 monthsWe first saw this posting 204 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
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Day 204
Up longer than most. Similar jobs usually come down between day 7 and day 56.
Well past Artefact’s usual: its jobs come down by about day 36.
From 10,289 similar postings that came down, and 27 of Artefact’s. Coming down is not always a hire.
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Yes. We’ve followed 2 other Senior Data Scientist jobs there since March 2026. All 2 are still up.
New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
As a Senior Data Scientist in our London office, your role will encompass:
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17th Floor, 5 Aldermanbury Square, London, EC2V 7HR
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