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Artefact

Senior Data Scientist

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

Posted 12 days ago

or apply directly on Artefact's site. We never take the application ourselves.

Is this posting real?

This role has been open
12 days
Artefact's roles stay open a median of 45 days
Reposted
No
Salary listed
No
4% of Artefact's roles list one
Ghost-job risk at Artefact
high
97 stale, 1 reposted of 124 open
Hiring momentum
154 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-09-17

Measured from postings appearing on and disappearing from Artefact's own greenhouse board since 2026-08-03. Full hiring picture for Artefact.

About this role

As a Senior Data Scientist at Artefact, you will design and implement advanced data science and machine learning solutions to address complex business challenges. Your responsibilities will include overseeing project streams, mentoring team members, and deploying scalable solutions using modern cloud technologies and MLOps principles. You will also be involved in defining technical deliverables and presenting updates to client stakeholders.

Our read on this posting3.0out of 5
benefits
1/5
freshness
4/5
career value
5/5
role clarity
5/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Artefact as an employer.

What you need

  • Bachelor's or Master’s degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or a related quantitative field
  • Demonstrable experience supervising team members and project delivery
  • Proven ability to implement complex models such as time-series forecasting, gradient boosting, clustering, NLP, and Bayesian inference
  • Strong experience with MLOps tools for orchestration, experiment tracking, hyper-parameter tuning, and deploying automated model retraining pipelines
  • Proficiency in object-oriented Python, advanced dataframes (Polars/Pyspark), and data versioning (DVC)
  • Hands-on experience with at least two major cloud providers (AWS, Azure, GCP)

Nice to have

  • Master's degree or PhD in a relevant field
  • Experience with parallelisation frameworks like Pyspark or Ray
  • Familiarity with serverless deployments (e.g., Fargate, Lambdas) and infrastructure automation with Terratest or Ansible

Worth weighing

  • No salary listed
  • Role involves significant leadership and mentoring responsibilities
  • Focus on advanced data science and machine learning solutions may require continuous learning and adaptation to new technologies

Summarised from Artefact's posting. Read the full original.

Listed by Artefact on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.

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