Senior Data Scientist

artefact; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

Artefact in London is seeking a Senior Data Scientist to design and implement advanced data science and ML solutions for complex business challenges. You will own project streams, define deliverables and timelines, and present updates to client steering committees.

You will supervise and mentor team members on code, deployment, and best practices while architecting scalable cloud-based solutions with MLOps principles.

Qualifications

• Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or a related quantitative field.
• Proven experience supervising teams and delivering projects, with ability to present updates to stakeholders.
• Demonstrated ability to implement a range of complex models (time-series, gradient boosting, NLP, Bayesian).
• Strong ML-Ops experience for orchestration, experiment tracking, hyper-parameter tuning, and retraining pipelines.
• Proficiency in Python, Polars/PySpark, and data versioning (DVC); good SQL and data storage design.
• Hands-on cloud experience (two major providers) and infrastructure-as-code (Terraform).
• CI/CD and containerisation knowledge (Docker, ideally Kubernetes).
• Desirable: Master's or PhD; experience with PySpark or Ray for parallelism.
• Familiarity with serverless deployments (Lambdas/Fargate) and Terratest/Ansible is a plus.

Responsibilities

• Designing and implementing advanced data science and ML solutions to solve business problems.
• Taking ownership of project streams from tasks to timelines and client updates.
• Mentoring team members on code quality, deployment, and best practices.
• Architecting and deploying scalable solutions using cloud technologies and MLOps principles.

Skills

Python

Team leadership

Project delivery

ML-Ops

Cloud basics

SQL

Data engineering

Modeling

CI/CD

Docker

Education

Bachelor's or Master's in CS/Math/Stats/Engineering

Tools

Polars

PySpark

DVC

Terraform

CI/CD tooling

Docker

Kubernetes

Job description

Who we are

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.

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.