Cpl
Data Scientist
London
£350/day
Posted about 16 hours ago
Get notified of more jobs like this · No spam, ever
How your CV stacks up
1Upload CV
2Analyse CV
3Improve CV
Upload your CV to see how well it fits this job role
?%
Data Scientist
Location: Hybrid | London
Contract: 6 Month | ASAP Start
Day Rate: Up to £350 (Umbrella Equivalent)
Our client is looking for a Data Scientist!
Responsibilities
- Develop and support the data-driven recommendation capability.
- Analyse and correlate data across DNS, CMDB, infrastructure, ownership, and ServiceNow sources.
- Build and operate production applications using foundation models and LLM APIs.
- Develop retrieval, embedding, and semantic search pipelines.
- Evaluate and monitor AI systems using golden datasets, regression suites, retrieval and citation quality measures, and human and automated evaluation techniques.
- Design evidence-grounded, human-authorised workflows with clear failure, abstention, and escalation behavior.
- Translate non-technical business requirements into scalable, maintainable, and robust solutions.
- Communicate technical trade-offs within a multidisciplinary team.
- Review supplier work and support knowledge transfer.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Skills & Experience
- Strong Python and production software engineering experience, including APIs, automated testing, and cloud-native services.
- Strong SQL experience.
- Experience with scikit-learn and machine learning algorithms.
- Practical experience building and operating production applications using foundation models and LLM APIs.
- Strong understanding of prompt engineering techniques and best practices.
- Experience with retrieval and embedding pipelines, semantic search, or equivalent AI data pipelines.
- Experience with data modelling, schema definition, and validation frameworks.
- Experience evaluating and monitoring AI systems using structured evaluation approaches.
- Working knowledge of AI failure modes, including hallucination, retrieval drift, context failure, injection, and degradation, and their controls.
- Experience with CI/CD, version control, and operational telemetry.
- Experience treating prompts, configurations, datasets, and evaluation assets as versioned production artefacts.
- Knowledge of secure engineering practices, including access control, data-leakage prevention, and safe tool use.
- Familiarity with AWS and Azure cloud services for machine learning, including Amazon SageMaker and Azure Machine Learning Studio.
- Ability to communicate technical decisions and work effectively with both technical and non-technical stakeholders.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Particularly Valuable Experience
- AWS Bedrock or comparable cloud and foundation-model platforms.
- Extracting and structuring information from unstructured documents using OCR or multimodal foundation models.
- Agent orchestration or DAG orchestration.
- Event-driven systems.
- Graph-enhanced retrieval.
- Temporal or provenance models, including S3 metadata and annotation approaches.
- Experience within regulatory technology, financial services, or other controlled operational environments.
Trusted by 25,000+ job seekers
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Location