Artefact

Data and AI-driven business transformation consulting

Senior Data Scientist

Applied Machine LearningConfirmed live in the last 24 hours

Full-timeLondon, UKNo salary listedIn-person

About the Job

Requirements

A Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or a related quantitative field.
Demonstrable experience supervising team members, taking responsibility for project delivery, defining technical tasks, and presenting project updates to internal and client stakeholders.
Proven ability to implement complex models including time-series forecasting, gradient boosting, clustering, natural language processing, and Bayesian inference.
Strong experience with MLOps tools for orchestration, experiment tracking, hyperparameter tuning, and deploying automated model-retraining pipelines.
Proficiency in object-oriented Python, advanced dataframes such as Polars and PySpark, and data versioning with DVC.
Experience designing data storage solutions and using object-oriented SQL interfaces.
Hands-on experience with at least two major cloud providers among AWS, Azure, and GCP, including application deployment, database services such as RDS and Cosmos DB, and infrastructure as code with Terraform.
Solid understanding of continuous integration and continuous delivery for testing and containerization.

Responsibilities

Design and implement advanced data science and machine learning solutions to solve complex business problems.
Own project streams, including defining technical deliverables and timelines and presenting updates to client steering committees.
Supervise and mentor team members on code, deployment, and best practices.
Architect and deploy robust, scalable solutions using modern cloud technologies and MLOps principles.

Desired Qualifications

A Master's degree or PhD in a relevant field.
Experience with parallelization frameworks such as PySpark or Ray.
Familiarity with serverless deployments such as Fargate and Lambda, and infrastructure automation with Terratest or Ansible.

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.

About the Company

Artefact

Data and AI-driven business transformation consulting

Artefact helps organizations use data and AI to transform their operations and decision-making. It provides end-to-end services across the data value chain, from strategy and data platform implementation to governance, advanced analytics, and sector-specific AI tools, delivered through consulting and project execution. The company works with industries like FMCG, retail, and luxury goods to optimize marketing performance, customer engagement, and ROI. Artefact differentiates itself by combining consulting expertise with data science and AI capabilities across multiple regions, offering integrated, sector-focused solutions rather than just advisory services. The main goal is to help clients adopt data-driven approaches to improve efficiency, decision quality, and marketing results at scale.

Company size: 1,001-5,000
Company stage: IPO
Headquarters: Paris, France
Founded: 1998

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