8 of 8 Part-Time Data Science Jobs in the City of London

also drive the accelerated digitalization of our talent. As the D&A Technical Lead for Smart Factories (Global), you will play a pivotal role in shaping and executing the Data Strategy for Smart Factory within Pet Nutrition Division. You will collaborate with cross-functional and cross-regional teams to develop, implement, and optimize Smart Factories strategies that align with … promotional opportunity with Mars before December 31, 2026 . What are we looking for? 10+ years experience working in this space, with particular focus on working with Manufacturing, CPG data At least 5 years experience in a senior data/architecture/leadership role with demonstrable thought leadership abilities Experience in Architecture as a code approach. Experience in … modern data stack technologies such as: Azure Stack \ Data Bricks \ Python (inc. Django framework) Manufacturing data platform tools like Thingworx, Litmus is a plus Experience in data pipeline architecture. Knowledge of containerisation/microservices (Kubernetes/docker). Knowledge of API architecture REST, Webhooks, SOAP. Experience working in a multi-business unit or multi-client environment More ❯

Senior Data Engineer (Azure) 2-3 days on-site - central London up to 75k + 20% Bonus + Excellent Benefits Our client is a leading global Retail/FMCG brand undergoing an exciting period of rapid growth and transformation. With significant investment in data and technology, they are building a world-class data platform to power decision … making across every area of the business from supply chain and logistics to marketing, customer sales and in-store operations. As part of this journey, they are expanding their Data Engineering team and looking for a Senior Data Engineer (Azure) to help shape and scale the next generation of data products and pipelines. The Role As a … Senior Data Engineer, youll play a key role in designing, building, and optimising scalable data pipelines and solutions on Microsoft Azure. Youll work closely with Data Architects, Analysts, and stakeholders in the business to expand the current data platform which already powers sales and performance dashboards into a holistic, enterprise-wide ecosystem. Youll bring strong technical More ❯

Quantum Computing Specialist - Leading Investment Bank I am seeking a Quantum Computing Specialist to explore the frontier of quantum technology in finance. My client is expanding its Data Science & Innovation function and is seeking a Quantum Computing Specialist to help shape its emerging quantum computing initiatives. This is a hands-on, technically focused role, ideal for recent PhD … across the bank. Apply theory to practice: Develop and prototype practical quantum solutions to address complex computational and optimisation problems Collaborate across teams: Work closely with the AI and data science teams on research, internal communications, and training related to emerging quantum technologies. Stay ahead of the curve: Explore advancements in quantum algorithms, hardware platforms, and hybrid quantumclassical … innovation partners: Collaborate with academic and research institutions to contribute to the wider quantum computing community. Candidate Profile: Advanced academic background in Quantum Computing, Physics, Engineering, Mathematics, or Computer Science (PhD or MSc). Experience (academic or early career) working on quantum algorithms, gate model computing, or hybrid quantumclassical systems. Strong technical and hands-on mindset, comfortable building prototypes More ❯

Code assistants Summarization tools Apply prompt engineering, Retrieval-Augmented Generation (RAG), and context-aware pipelines to enhance model accuracy and relevance. Integrate AI models with enterprise systems, APIs, and data stores using Python, Java, or Node.js. Collaborate with architects to define scalable, secure, and cost-efficient AI service architectures. Implement AI/ML pipelines for training, validation, and deployment … through model compression, quantization, and API optimization. Ensure compliance with AI ethics, security, and governance standards. Prepare and curate training datasets (structured/unstructured text, images, code). Apply data preprocessing, tokenization, and embedding generation techniques. Work with vector databases (e.g., Pinecone, Weaviate, FAISS, Chroma) for semantic search and retrieval. Partner with business stakeholders to identify and shape impactful … Experience with cloud platforms (AWS, GCP, Azure) and AI/ML services. -Knowledge of MLOps tools and practices (e.g., MLflow, Kubeflow, Vertex AI, Azure ML). -Strong understanding of data engineering, data pipelines, and ETL workflows. -Excellent problem-solving, communication, and stakeholder engagement skills. -Bachelor's or Master's degree in Computer Science, AI/ML, Data More ❯

creating, testing, and validating optimization models that improve how Amazon allocates and schedules its last-mile delivery fleet across Europe. This is a great opportunity to apply your analytical, data-handling, and problem-solving skills in a fast-paced logistics environment where data science meets operations. Key Responsibilities Create, test, and analyze User Acceptance Test (UAT) scenarios … to validate science optimization models. Work with real business data to test and refine model performance. Support integration of optimization models into fleet scheduling tools . Collaborate with a Senior Fleet Supply Chain Manager and cross-functional teams to translate business requirements into testing and analytical frameworks. Identify process improvements and help operationalize automation solutions. About the Team … plans ensuring Delivery Stations (DS) and Delivery Service Partners (DSP) have the right number of vehicles to complete last-mile delivery routes. The team is building automation tools and science-based models to make planning faster, more accurate, and more efficient. Candidate Profile Top 3 Must-Have Skills: Data analysis and management (Advanced Excel required; SQL a plus More ❯

embedding, retrieval augmented generation, and generative AI. Provide strategic input on AI architecture and scalable deployment strategies. Collaborate with cross-functional teams to build intelligent systems that autonomously analyze data and generate actionable insights. Stay ahead of the curve by contributing thought leadership in emerging AI technologies, including large language models and generative AI. Required Skills & Experience: Bachelors or … Masters degree in Computer Science, Engineering, Mathematics, Statistics, or a related STEM field. 5+ years of hands-on experience in data science and AI engineering. Proven track record of delivering AI software and deploying solutions in production. Strong proficiency in Python and libraries such as PyTorch, TensorFlow, Scikit-Learn, Keras, Numpy, Pandas, Langchain, Pinecone, and more. Experience More ❯

build and support systematic trading models. The successful fullstack python/typescript developer will write high-quality asynchronous Python code to interact with external websites and APIs, build responsive, data-rich frontend features using React and TypeScript, participate in architectural discussions and propose platform improvements, work in a Linux environment using Docker and Kubernetes and follow Agile practices using … or similar relational databases Proficiency with HTML5, CSS3, and modern frontend build tools Strong Linux and Git skills Desirable skills: AWS or cloud platform experience WebSocket and real-time data handling DevOps tooling (Docker, Kubernetes, Ansible) Data science packages (pandas, numpy, matplotlib) Modern C++ knowledge (C++17 and later) Interest in sports betting, financial services or trading platforms More ❯

product with AI at its core, using agents to power an AI assistant advertising planners throughout their workflow. Youll lead a cross-functional team of 810 remote engineers and data scientists, distributed across multiple countries in Europe, with a significant presence in Poland and Ukraine. Our tech stack includes Python with a React frontend, deployed on AWS in Kubernetes … technical writing skills Experience working with remote and geographically distributed teams a plus Background in advertising/marketing tech a plus Acxiom is a customer intelligence company that provides data-driven solutions to enable the worlds best marketers to better understand their customers to create better experiences and business growth. A leader in customer data management , identity , and … the ethical use of data for more than 50 years, Acxiom now helps thousands of clients and partners around the globe work together to create millions of better customer experiences, every day. Acxiom is a registered trademark of Acxiom LLC and is part of The Interpublic Group of Companies, Inc. (IPG). For more information, visit Acxiom.com . More ❯