Contract Description
Location: London (Hybrid – 2 days per week onsite)
Contract: 6 months Outside IR35
Industry: Technology / Digital Marketplace
We're looking for a Senior Data Scientist to join a fast-growing technology business operating a large-scale digital marketplace on an initial 6-month contract, outside IR35.
This is a hands-on role where you'll work across Commercial, Marketing, Product and Engineering teams to develop and deploy machine learning and AI solutions that deliver measurable business impact.
Key Responsibilities
Contract: 6 months Outside IR35
Industry: Technology / Digital Marketplace
We're looking for a Senior Data Scientist to join a fast-growing technology business operating a large-scale digital marketplace on an initial 6-month contract, outside IR35.
This is a hands-on role where you'll work across Commercial, Marketing, Product and Engineering teams to develop and deploy machine learning and AI solutions that deliver measurable business impact.
Key Responsibilities
- Own end-to-end ML projects, from problem definition and model development through to production deployment, monitoring and optimisation.
- Build predictive models for pricing, demand forecasting, customer propensity, personalisation and recommendation systems.
- Develop and implement GenAI and LLM-powered solutions to improve business processes and customer experiences.
- Apply MLOps best practices to ensure models remain scalable, reliable and effective in production.
- Partner with stakeholders to translate business challenges into practical, data-driven solutions.
- Design experiments, evaluate model performance and communicate results to technical and non-technical audiences.
- Strong commercial experience as a Data Scientist, with proven hands-on Python and SQL skills.
- Demonstrable experience building, deploying and maintaining machine learning models in production.
- Strong understanding of MLOps, model monitoring, statistical modelling and experimentation.
- Practical experience developing GenAI/LLM applications.
- Experience with cloud-based ML platforms, ideally GCP/Vertex AI.
- Familiarity with Docker, Git, CI/CD and software engineering best practices.
- Strong stakeholder management skills and a commercially driven mindset.
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