13 of 13 Contract Data Science Jobs in the South East

Junior Data Engineer - Public Sector Contract: Initial 7 months (extension possible) Rate: £310 per day, Inside IR35 Location: Remote with travel to Waterloo (2-3 days per month) Security Clearance: SC-eligible (5 years UK residency required) I am working with a key consultancy delivering a major UK public … sector programme and are looking for a Junior Data Engineer/Scientist to join a mixed delivery team building and operating secure, reliable data platforms that support critical public services.This role is designed for someone early in their data career who wants to develop strong engineering fundamentals ...

Head of Data Product/Senior Data Product Owner The Head of Data Product is accountable for the end to end Product strategy, delivery and adoption of our clients ' analytics and data science products, with a primary focus on leading the Business Intelligence (BI) transformation … enterprise wide roll out of Power BI. This role owns how data, analytics and data science are productionised and consumed across the business. The role exists to modernise decision making, standardise analytics and maximise value from data and data science investments. Key Accountabilities ...

Data Scientist - Operational & Optimisation-Focused AI £700+ per day | Inside IR35 | Long-term programme (2-3 years) I'm currently looking for Data Scientists to join a highly capable, collaborative team working on real operational problems at serious scale within a well-established, commercially driven organisation.This … this role, you won't be siloed away from the business. You'll be embedded alongside engineers and operational stakeholders, working on problems where data science is central to how decisions are made, not just how performance is reported.You will: Design and build optimisation, predictive, and prescriptive models ...

environment where teams sit together and ideas are encouraged at all levels. The Role As an Applied AI Engineer, you will sit within the Data Science function, partnering closely with operational stakeholders across the business. The focus of the role is to design and deliver … calculation platform, reducing manual effort across complex financial processes. Key responsibilities include: Owning the design and build of a scalable automation platform covering data ingestion, validation and reporting. Automating complex financial calculations including NAV and LAV across multiple data sources and formats. Designing robust data workflows ...

Role Purpose The Data Analyst/Data Engineer will lead the discovery, interpretation, and presentation of data to enable AI-driven solutions for our client, embedded within operational teams. The role focusses on turning complex, often legacy, datasets into clear insight, narrative, and decision-ready outputs, while … ensuring data foundations are sufficiently robust to scale across OpCos. This position requires strong analytical judgement, stakeholder consultancy skills, and hands-on capability to shape and evolve supporting data pipelines. Contract - 6 months (high possibility to extend further) Location - waterside (UB7 0GB) Hybrid - 2-3 days onsite ...

Full Stack Engineer - Inside IR35 - Hybrid We are looking for a Full Stack Engineer to help design, build, and operate scalable data systems that support analytical and data-driven workflows. You will work closely with users across the business to understand their needs, translate them into robust technical … solutions, and continuously improve our data platform. This role is ideal for someone who enjoys working at the intersection of engineering, data, and user experience, with a strong focus on reliability, usability, and iterative improvement. Key Responsibilities Design, build, and maintain production-grade data systems and pipelines ...

What you’ll do: Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights … experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low-latency, highly reliable cloud-based AI systems for live sports scenarios, ensuring ...

preferred. This is a fantastic opportunity to partner with traders and trading analysts to rapidly build AI-powered analytics over market pricing and fundamentals data, using Databricks and Spark to deliver value at speed. Someone with familiarity in market microstructure, supply-demand fundamentals, risk management with confident collaboration … Responsibilities to include Design and ship AI-driven analytics for front-office use (seasonality, correlation, regression, forecasting, scenario modelling). Build reusable and scalable data pipelines in Databricks (PySpark/Spark, Delta/Unity Catalog), optimizing cost, reliability, and performance. Run statistical/econometric analyses on large datasets (e.g. ...

local markets Leading campaign measurement, effectiveness analysis, and experimentation (brand and performance) Developing standardised analytics tools and methodologies, including AI driven solutions Translating complex data into clear, actionable insights for senior stakeholders Acting as a trusted day to day analytics contact for global clients Advising teams on media platform … testing, targeting, and measurement best practice Managing third party measurement partners, including scopes of work and delivery Working closely with data engineering teams on automation and integration strategies Contributing to wider analytics and data strategy across the organisation You Strong quantitative background with a degree in a numerical ...

machine learning models and algorithms Day-to-day, you'll make sure that models and algorithms work effectively in a production environment while promoting data literacy education with business stakeholders If you see opportunities where others see challenges, you'll find that this solutions-driven role will be your … customers. You'll also codify and automate complex machine learning model productions, including pipeline optimisation. We'll expect you to transform advanced data science prototypes and apply machine learning algorithms and tools. You'll also plan, manage, and deliver larger or complex projects, involving a variety of colleagues ...

operational management of tactical marketing campaigns. Key areas of responsibility include: End-to-end campaign build and deployment within Salesforce Marketing Cloud Data set creation and preparation for campaign execution Acting as the primary front-end user of the platform Ongoing maintenance of campaigns and platform functionality Close liaison … multiple business areas to deliver varied campaign activity Ensuring campaigns run smoothly within a complex CRM environment Increased efficiency and consistency in how client data is activated within campaigns, enabling more frequent and accurate use of insights Enhanced customer experience through technically optimised journeys and automated workflows that support ...

Data Scientist/Machine Learning Scientist - Outside IR35 Location: London (Hybrid) Length: 6 months Ready to build and deploy real AI systems at scale? Join a growing AI teams, where you'll shape how AI transforms global business. We're hiring hands-on operators who deliver production-ready … FastMCP/FastAPI) Understanding of LLM limitations and trade-offs (hallucination, latency, cost) Cloud deployment experience (AWS, GCP, Azure) Masters or higher in Maths, Science, or Computer Science Ownership mindset, bias for action, and strong product focus Comfortable in fast-moving, ambiguous environments Bonus Points: Experience with SaaS ...

looking for a Machine Learning Ops Engineer to help operationalise machine learning across Affinity Water on a 24 month FTC. Youll work with data scientists, engineers, architects, and stakeholders to deploy, monitor, and maintain ML models in robust, scalable, and secure production environments, turning advanced analytics into sustained business … value. What Youll Do Build, maintain, and optimise automated ML deployment pipelines with CI/CD, containerisation, and orchestration. Monitor model performance, data drift, and system health to ensure reliability and availability. Support ML platforms and infrastructure on-premise or in the cloud (AWS, SageMaker), ensuring scalability and security. ...