11 of 11 Data Science Jobs in Dartford

Data Science Manager We are seeking a Data Science Manager to lead the development and deployment of advanced analytics and AI/ML solutions. This role involves applying data science techniques to deliver actionable insights and build scalable data products. Key Responsibilities Design … implement AI/ML and Generative AI models for predictive analytics and marketing applications. Explore solutions using LLMs, embeddings, and RAG pipelines. Collaborate with data engineers on data quality, feature engineering, and pipeline optimization. Translate business needs into analytical solutions and communicate findings effectively. Requirements Bachelor ...

chain. This role is fully remote in UK, with full work authorization already in effect. No Visa sponsorship is available. Job Description In a data-driven and AI-oriented environment, you will be responsible for the design, industrialization, and optimization of inter-application data pipelines. You will … involved in the entire data chain, from data ingestion to its use by data science teams and AI systems in production within a human-sized and multidisciplinary team. This role is within Process Intelligence (PI) team that combines functions such as Process Mining, Real Time Monitoring ...

This role is the programme's data-driven applications engineer - sitting between Oracle APEX development, analytics engineering, and data science enablement. It focuses on delivering reporting, dashboards, lightweight applications, and analytical PoCs on top of the client's Oracle cloud estate (ADW, OAC, Fusion, OIC). … Responsibilities Develop, enhance and maintain secure APEX applications for analytics, reporting and workflow enablement within the Defence programme. Build OAC dashboards, data visualisations, semantic models and automated reporting pipelines. Support data science explorations (feature sets, model inputs, structured data prep) and collaborate with AI engineers delivering ...

core model capabilities and protocols. Leadership & Collaboration - Collaborate on UI/UX integration, code reviews, architecture and roadmap decisions, and cross-functional work with data science, product, and commercial teams. Data Engineering - Design and maintain efficient data pipelines, ensuring smooth data flow between systems ...

front end of enterprise software or SaaS products that are used by large enterprises. A small highly collaborative product team consisting of designers and data scientists within a growing consultancy so the ideal candidate will take ownership of the development of the product (alongside the product lead … excellent communicator, able to contribute to the roadmap and steer technical decisions. You will be expected to: ● Develop new features working with the data science ● Develop bug fixes and security patches promptly ● Collaborate and contribute to product feature planning (from a technical perspective) ● Lead implementation of testing infrastructure ...

Back End, Full Stack, Computer Programmer, Computer Systems Engineer, Systems Analyst, Programmer Analyst, Database Administrator, Front-end Developer, Mobile App Developer, Software Developer, Data Scientist, Cloud Engineer. ...

About Intellias Intellias is a European-founded AI, Data and Software Development company with global delivery capability across Europe, India and Latin America. For more than 20 years, we've empowered our customers to embrace innovation at scale and contributed to the success of the world's leading brands. … with the leading hedge funds, online trading companies, reinsurance institutions and banks to help them compete in the age of AI through modernisation, enterprise data management, and agentic AI capabilities. As we continue to scale, we're expanding the team in the UK, bringing top talent on board ...

trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help … models and navigating the intersection of research, engineering, and product delivery. Roles & Responsibilities: Lead and mentor a cross-functional team of ML engineers, data scientists, and MLOps professionals. Oversee the full lifecycle of LLM and ML projects — from data collection to training, evaluation, and deployment. Collaborate with Research ...

robust engineering, governance, and scalability. Responsibilities Design, build, and deploy machine learning models into production within a Financial Services environment Collaborate closely with Data Scientists, Software Engineers, Risk, and Product teams Build and maintain end-to-end ML pipelines (training, validation, inference, monitoring) Ensure models meet requirements around performance … Python skills and hands-on experience with ML libraries (TensorFlow, PyTorch, scikit-learn) Experience deploying and supporting ML models in production Solid understanding of data pipelines, versioning, testing, and software engineering best practices Experience working with cloud platforms (AWS, GCP, or Azure) Nice to Have Experience with fraud, risk ...

future proof, and expand their revenue opportunities. Their product empowers lawyers and finance teams to maximise value from engagements through: Pricing agents that create data-driven, lawyer-friendly quotes. Management tools that predict overruns and help avoid costly late bills. Enrichment engines that clean and structure messy legal datasets … join. The Role: AI/ML Engineer – Agentic Systems You will design and deliver intelligent agentic workflows, leveraging frontier LLMs. Working with their data scientists and backend engineers, you'll be responsible for making unstructured legal data usable, scalable, and impactful. This is not a prototyping role ...

even if you have zero experience? We’re looking for ambitious individuals ready to break into the world of artificial intelligence and data science. Our industry-leading AI Traineeship is designed to take you from complete beginner to a highly employable Junior AI Engineer, with full training provided … anywhere, through our easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges, helping ...