At a Glance
- Tasks: Design and build custom forecasting models for retail using deep learning and causal AI.
- Company: Join RAPP, a dynamic consulting team working with high-profile retail clients.
- Benefits: Competitive daily rate, flexible contract, and the chance to work on impactful projects.
- Other info: Opportunity to work in an agile team with excellent career growth potential.
- Why this job: Make a real impact in a fast-paced environment while honing your data science skills.
- Qualifications: Strong knowledge of deep learning, experience with retail datasets, and model deployment skills.
The predicted salary is between 63000 - 77000 £ per year.
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.
Machine Learning Engineer Data Science in London employer: Harnham - Data & Analytics Recruitment
Join a leading martech company that offers a remote-first work environment, allowing you to balance your professional and personal life while contributing to innovative projects backed by Google. With a strong focus on employee growth, you'll have the opportunity to collaborate with a talented team, enhance your skills in app development, and play a crucial role in shaping the future of digital marketing analytics. Enjoy competitive salaries and benefits as you thrive in a culture that values creativity and technical excellence.
Contact Details:
Harnham - Data & Analytics Recruitment Recruitment Team
