Data Scientist

City of London
4 months ago
Applications closed

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+6 months

+Fully remote working

+Inside IR35

+£450 - £525 a day

We're looking for an experienced Data Scientist to play a key role in turning complex data into clear, actionable insights. You'll be responsible for the full data lifecycle - from collection and cleaning to analysis, modelling, and communication of findings - ensuring all work aligns with project objectives and timelines. This is a highly collaborative role, working closely with our existing team to deliver high-quality results and meet project deadlines.

The role:

Collect, clean, and preprocess structured and unstructured data from multiple internal and external sources.
Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
Design and implement data pipelines for model-ready datasets in collaboration with data engineering teams.
Apply feature engineering and selection techniques to improve model accuracy and interpretability.
Develop and validate machine learning and statistical models for prediction, classification, clustering, or optimization.
Apply supervised and unsupervised learning techniques using libraries such as Scikit-learn, TensorFlow, or PyTorch.
Implement NLP, time-series forecasting, or optimization algorithms based on project requirements.
Evaluate models using appropriate metrics and perform hyperparameter tuning for optimal performance.
Convert proof-of-concept models into production-grade pipelines in collaboration with MLOps and engineering teams.Required:

Translate model outcomes into actionable insights through clear storytelling and visualizations.
Build dashboards and reports using Power BI, Tableau, or Python-based visualization tools.
Communicate findings to both technical and non-technical stakeholders effectively.
Partner with business analysts, architects, and domain experts to define use cases and success metrics.
Contribute to the enterprise AI roadmap, bringing thought leadership on analytical methodologies.
Document methodologies, model logic, and validation results for audit and reproducibility.
Participate in Agile ceremonies, sprint planning, and client showcases.If you'd like to discuss this data scientist role in more detail, please send your updated CV to (url removed) and I will get in touch

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