Senior Data Scientist

WeDo Greater London, England, United Kingdom

Senior Data Scientist

WeDo is currently working with one of the fastest growing consumer technology businesses in its sector. The company has scaled at exceptional pace, is operating at significant customer volume, and is widely regarded as a category leader. With a clear roadmap toward IPO, this is a rare opportunity to join a business at a defining stage of its growth.

Salary: £80,000 to £100,000
Location: London based hybrid working - 3 days a week onsite
Work Type: 12 month fixed term contract

Data is fundamental to how the product operates and evolves. This role focuses on building and optimising advanced machine learning models that directly influence customer experience, with a strong emphasis on personalisation and product recommendation. You will be part of a highly capable data team working closely with product and engineering in an AWS-first environment.

Responsibilities

• Analyse large and complex datasets to solve high impact, customer facing product problems
• Design, build, train, and deploy machine learning models using AWS services, with Amazon SageMaker as the core ML platform
• Develop and productionise recommendation and personalisation systems used at scale
• Own the full model lifecycle including experimentation, validation, deployment, and monitoring
• Run A/B testing and controlled experiments to evaluate product changes
• Present insights, results, and modelling approaches clearly to senior stakeholders
• Write production quality code following best practices in version control and deployment
• Monitor, optimise, and retrain models in live AWS environments
• Work closely with product managers and engineers to translate data science into measurable business outcomes

Required Skills

• 3 or more years experience as a Data Scientist in a product or customer focused environment
• Strong Python and SQL skills
• Hands on, production experience using AWS for machine learning workloads
• Strong experience with Amazon SageMaker for model training, deployment, and monitoring
• Experience building and deploying machine learning models into live products
• Solid understanding of applied machine learning techniques and their real world limitations
• Experience running experiments and A/B testing
• Confident communicator able to influence non technical and senior stakeholders
• Experience using Git and collaborating in multi developer environments
• Strong awareness of data ethics, bias, privacy, and handling sensitive customer data

Desirable experience includes CI/CD pipelines, model performance monitoring, modern data modelling tools, BI platforms, and cloud based endpoint deployment.

Why should I apply?

This is an opportunity to work inside a genuinely high growth business on a clear path to IPO, where data science directly shapes the core product. You will be working on problems at real scale, using modern AWS tooling, with ownership across the full machine learning lifecycle. The role offers exposure to senior leadership, meaningful technical influence, and the credibility of being part of a market defining company before it goes public. Combined with competitive compensation, flexible working, and a strong data culture, this is a compelling contract opportunity.

Interested?

Apply for the role today or send your CV to

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