Lead Data Scientist

Lead Data Scientist Location: Midlands based HQ with weekly on-site presence Salary: Up to £75,000 plus competitive bonus and benefits A large UK consumer eCommerce business is scaling a new internal advertising and monetisation platform and is hiring a Lead Data Scientist to take technical ownership of its core algorithms.

Please make sure you read the following details carefully before making any applications.

This is a technical leadership role with end-to-end ownership of the algorithm roadmap.

You will set direction, make architectural decisions, and lead delivery from experimentation through to production in a high-scale environment.

What you will do Own the technical and algorithm roadmap for a large-scale internal ads platform.

Design, test and deploy advanced predictive and ranking models such as Two-Tower architectures, RNNs and learning-to-rank approaches.

Lead architecture, model selection and production design decisions.

Improve feedback loops to increase responsiveness to real-world events and outcomes.

Set best practices for production ML, testing, monitoring and deployment.

Act as the technical authority for data science across the ads domain.

Work closely with engineering, product and commercial teams.

Present outcomes and recommendations to senior stakeholders in clear business terms.

What you bring Strong background in data science applied to personalisation, recommendations or ranking problems.

Proven experience owning and delivering production machine learning systems.

Advanced hands-on experience with PyTorch or TensorFlow.

Strong Python and SQL skills with experience in distributed processing such as PySpark.

Comfortable making technical trade-offs in complex, ambiguous environments.

Able to translate complex technical work into commercial impact.

Nice to have Experience in AdTech or monetisation systems.

Familiarity with MLflow, Databricks and modern DevOps tooling.

Experience working in large-scale consumer or eCommerce environments.

Working style and benefits Weekly on-site presence with flexible working.

Competitive base salary with annual performance bonus Sharesave scheme.

Private medical insurance.

Pension contribution.

25 days holiday plus bank holidays with buy and sell options.

Staff discounts.

Subsidised food and on-site facilities.

Gym discounts.

Digital GP service and wellbeing support.

Why join You will be joining a business operating at national and international scale, investing heavily in applied machine learning that directly impacts revenue.

This is not a research role. xjlbheb

Your work will be put into production, used at scale, and you will be accountable for its impact.