Data Scientist - data and analytics

+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.