Data Scientist

Location: London / Hybrid / Remote Day Rate: Up to £600/day (Inside or Outside IR35)Contract Length: Initial 5 weeks (very strong extension potential)Start Date: Within 1-2 weeks Industry: Financial Services (Marketing Analytics Project)Interview Slots Available This Week - Fast Turnaround

Join a specialist data and analytics consultancy working with major financial services organisations. You'll be part of a high-performing, agile squad that owns delivery end-to-end. The environment is innovative, outcome-focused, and ideal for individuals who enjoy solving commercially impactful problems with autonomy.

This is a hands-on Lead Data Scientist role where you'll take ownership of an existing project focused on predicting customer engagement from marketing images. Your goal: build and deploy a model that forecasts click-through rates and explains why certain images drive better performance.

Build and refine a predictive model using image data & historical engagement metrics? Identify which image characteristics (colour, objects, themes) influence customer behaviour? Implement explainability (e.g. SHAP, feature importance)? Build a simple internal UI (Dash, Streamlit, or Flask) for stakeholders to explore insights? Present findings and guide technical decision-making internally? Enable deployment teams to operationalise your solution

By the end of the initial engagement you will have delivered:- A working predictive model- Clear explainability on what drives user clicks- A functional internal tool for non-technical stakeholders- Documentation and guidance for productionisation

Must-Have:

• Expert-level Python (Pandas, modelling libraries such as Scikit-learn)

• SQL

• AWS cloud experience

• Proven end-to-end ownership of data science solutions

• Model explainability (SHAP, LIME, feature importance)

• Ability to build simple dashboards or web apps (Streamlit, Dash, or Flask)

Nice-to-Have:

• Experience working with image data

• Exposure to marketing analytics or customer behaviour modelling