Senior Data Scientists - Artefact UK

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 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.
• 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.