14 of 14 Permanent Data Science Jobs in Warrington

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 ...

Permanent Opportunity available with a leading National Security Organisation for an eDV cleared Data Engineer in Manchester Manchester location – hybrid working when possible Must hold active Enhanced DV Clearance (West) Competitive Salary DOE - 6% bonus, 25 days holiday, clearance bonus Experience in Data Pipelines, ETL processing, Data … sector, delivering mission-critical solutions that help keep the nation safe, secure, and prosperous. You'll work with cutting-edge technologies including AI/Data Science, Cyber, Cloud, DevOps/SRE, and Platform Engineering. They have long-term contracts secured across the latest customer framework ...

generative and agentic AI. We recognise that few professionals have completed a full AI transformation. Therefore, we seek leaders with proven experience in digital, data, or business transformation who are now applying that expertise to AI-led change. You understand how to translate ambition into action — guiding organisations through … needed to unlock AI's potential. What We Are Looking For: AI-Driven Business Transformation Leaders: Proven experience leading complex transformation programmes where technology, data, and innovation reshaped business performance. Able to apply that experience to the generative AI era — guiding organisations through the shifts required to become ...

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 ...

About SalesPilot 365: SalesPilot 365 is an innovative talent solutions platform committed to connecting businesses with exceptional candidates. As part of our expansion into Data Analytics, we're offering a structured internship program for motivated individuals eager to build a career in data-driven decision-making. Internship Summary … Join our analytics team and gain practical experience working on real business datasets. You'll develop dashboards, conduct data analysis, and help generate actionable insights that contribute to business growth in a dynamic tech environment. Key Responsibilities: Collect, clean, and preprocess data to ensure accuracy and usability Conduct ...

data architecture and solutions what you are passionate about? Do you have current or recent experience of leading small data teams, supporting their development whilst also working toward broader business goals? Are you currently or have you recently been very 'hands on and technical' in a role? Charles … River's Data and Analytics group, spread across the globe, are currently recruiting for a hands on and very technical Director of Analytical Engineering, to join us and manage a small team of data colleagues to deliver global projects. With a proven and successful people manager background ...

roadmap, combining leadership of architecture and engineering practice with hands-on development of prototypes and production features. You'll partner with Product, Data, and Platform Engineering to design and integrate AI-driven capabilities such as voice/chatbots, natural-language analytics, and predictive models. This role balances strategic technical … concepts, and feasibility studies for emerging AI technologies. Collaborate with Product Management to scope AI features and align them with business goals. Partner with Data Engineering to operationalize models, manage training data, and implement monitoring and retraining pipelines. Work closely with Development, DevOps, and QA teams to ensure ...

Data Scientist | Fully Remote | Health and Wellbeing We're hiring an Data Scientist to help build and ship ML and LLM features in a regulated environment with sensitive data. You'll work with engineering to move models from idea to production. Tech Stack: Python, scikit-learn, PyTorch, TensorFlow … deploy LLM use cases (Q&A, summarisation, document processing) Build and tune models using scikit-learn, PyTorch, TensorFlow/Keras, and XGBoost Create data pipelines for batch and streaming with Spark and Kafka Use Databricks and MLflow for experiments, deployment, and monitoring What you'll bring Hands-on Python ...

teams face on a daily basis, at all stages from innovation and design right through to testing and release. You will: Collaborate with our Data Science and Product teams, translating complex Sportsbook subject matter to help understand business requirements; Use programming languages such as Java or Python ...

infrastructure that scales. Now you want to do something different with your skills — coaching working professionals and career switchers to become confident, capable data engineers. You bring the engineering expertise. If you haven't coached before, we'll train you. Full-time or part-time, London or elsewhere … Sphere, learners don't sit through lectures. They come to work in PRISM, our fully simulated company with 500m+ rows of real data, where they tackle realistic business problems and build practical skills they can use immediately. Combined with high-touch coaching from people who've actually done ...

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. ...

patterns between users and Generative AI models. Optimize outputs of Generative AI models to meet user expectations for length and information presentation Use behavioural science principles to design mechanisms that nudge user behaviour toward better outcomes. Prototype AI experiences and validate them with users to help communicate concepts before … performance of Generative AI models using qualitative and quantitative data. Turn insights into opportunities to improve the experience. Work closely with Product Managers and Data Scientists to optimize models in an agile development environment. Bridge user needs and AI capabilities by translating user insights into AI design strategies that ...

Data Scientist | Elite US Law Firm | Remote (UK) Legal AI, LLMs, Document Intelligence, Multi-Agent Systems I'm working with an elite US law firm that is building one of the most advanced in-house AI teams in the legal sector. They're not dabbling in legal tech; they … redesigning how legal work is done, backed by serious investment and a world-class practice. They are now looking to hire a Data Scientist to join a high-performing, 12-person AI team working on cutting-edge LLM systems, multi-modal models, document-intelligence pipelines and real-world ...

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 ...