Senior Data Scientist — ML, MLOps & Cloud Lead

Artefact; Greater London; On-site; GBP 90,000 - 140,000; Full time

Job summary

Artefact in London seeks a Senior Data Scientist to design and deploy advanced data science and ML solutions for a range of clients. You will lead project streams, define deliverables and timelines, and present updates to client steering committees.

You will mentor colleagues on code, deployment, and best practices while leveraging modern cloud technologies and MLOps principles. The role requires expertise in Python, data engineering, and cloud platforms, with a strong track record in modelling

Qualifications

• Education: a Bachelor's or Master’s degree in a quantitative field.
• Project & Team Leadership: supervising team members and delivering projects.
• Advanced Modelling: time-series forecasting, gradient boosting, NLP, Bayesian inference.
• ML-Ops & Orchestration: experience with orchestration, experiment tracking, retraining pipelines.
• Programming & Data Engineering: OO Python, Polars/PySpark, data versioning with DVC.
• Cloud & DevOps: two major cloud providers, IaC, CI/CD and containerisation.
• Advanced Education: Master or PhD is a strong plus.
• Parallelisation & Performance: experience with PySpark or Ray.

Responsibilities

• Design and implement advanced data science and ML solutions.
• Take ownership of project streams from deliverables to client updates.
• Mentor team members on code, deployment and best practices.
• Architect and deploy robust, scalable solutions using cloud technologies and MLOps.

Skills

Team leadership

Python programming

MLOps

Data engineering

Statistical modeling

Education

Bachelor or Master degree

PhD a strong plus

Tools

Polars

PySpark

Terraform

CI/CD

Job description

Artefact in London seeks a Senior Data Scientist to design and deploy advanced data science and ML solutions for a range of clients. You will lead project streams, define deliverables and timelines, and present updates to client steering committees.

You will mentor colleagues on code, deployment, and best practices while leveraging modern cloud technologies and MLOps principles. The role requires expertise in Python, data engineering, and cloud platforms, with a strong track record in modelling