Data Scientist

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The global supply chain is broken—creating a $2 trillion inventory gap where essential consumer goods fail to reach the people who need them. Brands miss sales, distributors mismanage stock, and retailers face empty shelves. The result? Higher prices, slower growth, and lost opportunity across the board.

RedCloud is fixing this. Our RedAI digital trading platform, bulk and retail trading exchanges connect key parts of the supply chain—enabling bulk inventory exchange, streamlined digital payments, and generating vast quantities of aggregated market data. By applying AI and machine learning techniques, we deliver predictive market insight and trading recommendations straight back to the trading environment—facilitating smarter everyday business decisions for our customers, from factory to warehouse to store.

Headquartered in London, RedCloud became a publicly listed company on Nasdaq (RCT) in March 2025. With a diverse team spanning many nationalities and operations across Africa, the Middle East, Europe, and Latin America. We’re building a more connected and efficient global trade network. Our AI labs are busy exploring the next generation of smart AI agents and deeper FMCG market intelligence for the benefit of our customers across a growing operational footprint.

Design, develop, and deploy ML systems to solve real world problems and enhance business processes. Leverage cloud platforms to build, train, and scale ML models. Develop and implement state-of-the-art algorithms, including Computer Vision techniques, LLMs and other GenAI models. Handle and analyze large amounts of data to train and validate machine learning and deep learning models. Ensure AI solutions are scalable and reliable through continuous iteration and optimization. Collaborate closely with cross-functional teams, including data scientists, data engineers, and software developers, to integrate AI solutions into existing systems. Work with Product and business stakeholders to understand challenges and translate them into efficient AI-driven products aligned with broader business goals. Keep up with the latest advancements in AI, research new techniques and implement them to enhance the performance and accuracy of solutions.

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• 3+ years of experience in Data Science.
  
• A deep understanding of machine learning concepts, NLP techniques, and AI model valuation metrics.
  
• Experience with libraries/frameworks like NumPy, Pandas, SciPy, Scikit-learn, TensorFlow, PyTorch, Transformers, Langchain, Streamlit, or Gradio, among others.
  
• Experience with cloud-based tools for production use (e.g., AWS SageMaker, AWS Bedrock, Vertex AI, Azure Machine Learning, Azure OpenAI).
  
• Knowledge of databases and data technologies, such as Snowflake, BigQuery, and relational databases like SQL.
  
• Knowledge of Large Language Models, retrieval-augmented generation and generative AI is a nice to have.
  

Strong problem-solving skills and the ability to break down complex challenges into manageable, actionable tasks. An interest in working across both software engineering and AI, with the ability to piece together solutions using a variety of tools and techniques. Excellent communication skills, with a collaborative approach to working within diverse teams. A passion for continuous learning and personal development, with a willingness to explore new ideas and approaches.

Even if you don’t meet every requirement, we still encourage you to apply. Your unique experiences and perspectives might be just what we’re looking for.

Working with a pioneering provider of eCommerce solutions you will have the opportunity to join an international company who are growing massively, we encourage ambition and creativity.

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• 25 Days Annual leave, increasing to 26 days after 12 months in the business.
  
• Enhanced Company Pension (Matched up to 5% & Salary Sacrifice).
  
• Healthcare Cashplan with Medicash.
  
• Private Healthcare with Aviva.
  
• Life Insurance with AIG.
  
• Happl, our benefit platform which provides access to pre-negotiated discounts on a wide variety of services including entertainment, food, and fitness.
  
• Stock / Equity.