Data Scientist in London

Job description

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

Extra information

Status

Open

Education Level

Secondary School

Location

London

Type of Contract

Part-time jobs

Published at

06-11-2025

Full UK/EU driving license preferred

No

Car Preferred

No

Must be eligible to work in the EU

No

Cover Letter Required

No

Languages

English