Data Scientist

💼 Data & Analytics – Data Scientist

📆 6-Month Contract | 🌍 Primarily Remote | 💰 Inside IR35

📍 Location: Hybrid – mainly remote. Occasional client travel may be required (pre-approved and reimbursed by the client).

💷 Rate:

• £327 – £393 / day (PAYE)

• £435 – £522 / day (Umbrella)
• (Inside IR35)

🚀 About the Role

We’re seeking a skilled Data Scientist to join our Data & Analytics team for a 6-month project focused on AI in Commercial Banking.

You’ll lead end-to-end data science activities from data collection and cleaning to analysis, modelling, and insight generation working closely with client teams to deliver actionable, AI-driven outcomes that power smarter business decisions.

🎯 Key Responsibilities

As a Data Scientist, you’ll:

🔹 Collect, clean, and preprocess structured and unstructured data from diverse internal and external sources.

🔹 Perform exploratory data analysis (EDA) to uncover patterns, trends, and anomalies.

🔹 Design and build data pipelines with engineering teams to produce model-ready datasets.

🔹 Apply feature engineering and selection techniques to enhance model accuracy and interpretability.

🔹 Develop and validate machine learning and statistical models for predictive, classification, clustering, or optimization tasks.

🔹 Implement supervised and unsupervised learning algorithms using Scikit-learn, TensorFlow, or PyTorch.

🔹 Apply advanced techniques such as NLP, time-series forecasting, and optimization algorithms when required.

🔹 Evaluate and fine-tune models with appropriate metrics and hyperparameter optimization.

🔹 Collaborate with MLOps and engineering teams to transition proof-of-concept models into production-grade solutions.

🧠 Experience & Skills Required

You’ll bring:

✅ Proven ability to translate model outputs into clear, actionable business insights through compelling data storytelling and visualization.

✅ Experience building dashboards and reports with Power BI, Tableau, or Python-based visualization tools.

✅ Strong communication skills to engage both technical and non-technical stakeholders.

✅ Experience working with business analysts, architects, and domain experts to define use cases and success metrics.

✅ Contribution to enterprise AI roadmaps and a passion for promoting best practices in analytics and modelling.

✅ Thorough documentation of methodologies, model logic, and validation results for audit and reproducibility.

✅ Familiarity with Agile environments, participating in sprint planning, stand-ups, and client showcases.