Data Scientist

Contract Opportunity: Lead Data Scientist (Image-Based Predictive Modelling) 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 About the Company 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. The Opportunity 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. What You'll Be Doing ✅ 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 What Success Looks Like 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 Required Skills 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 Desired Skills and Experience Key Experience Built an image-based predictive model to forecast marketing click-through rates Applied explainability techniques (SHAP, feature importance) to identify visual drivers of customer engagement Developed a Python-based dashboard (Dash/Streamlit) for internal stakeholders to explore insights in real time Led end-to-end delivery from data ingestion to deployment on AWS Collaborated within an agile squad to accelerate delivery for a major financial services programme