Machine Learning Engineer - Deep Learning

Contract Data Scientist - Forecasting, Deep Learning, Causal AI (Retail)
£600-700/day | 4 Months | Start ASAP | Inside IR35

RAPP is looking for a technically sharp, hands-on Data Scientist to join their agile consulting team supporting high-profile retail clients. This is a 4-month contract with the chance to work on impactful forecasting and causal AI projects within a fast-moving, agency-style environment.

What You'll Be Doing:

• Designing and building custom forecasting models (XGBoost, deep learning, RL) for real-world retail scenarios

• Applying causal and graph-based methods to understand and optimise customer behaviour

• Working across the full stack of data science, from data wrangling to deployment

• Operating within a modern MLOps setup (Docker, CI/CD, AWS)

• Contributing to product-facing tooling (bonus if you've used JavaScript / Next.js / TypeScript)

What We're Looking For:

• Strong practical knowledge of deep learning fundamentals - ideally with PyTorch

• Experience building bespoke models for time series, tabular, image, or text data

• Hands-on forecasting experience with retail or consumer datasets

• Skilled in causal inference, graph AI, or reinforcement learning

• Comfortable deploying models in production environments

• Strong communicator, able to clearly explain technical choices and trade-offs

Nice to Have:

• Exposure to JavaScript, TypeScript, or Next.js

• Prior work in a startup, agency, or consultancy environment

This is a fast-paced project with immediate impact - if you're a data scientist who thrives on building models from scratch and solving tough commercial problems, this one's for you.