16 of 16 Data Science Jobs in Dorset

Artificial Intelligence is used in every industry and as artificial intelligence requires data to operate there is now a massive growing demand for Data experts. If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding … future within Data Science. We use our specialised Data Science Career programme which looks to assist, train and place qualified candidates into a career pathway in Data Science. Our career program is designed for entry level individuals with limited or no experience. Please do not apply ...

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 ...

Data Scientist - £70k | Remote/Hybrid | FinTech/Payments We're working with an established FinTech/Payments business that has been helping customers manage and move money globally for many years. The company builds technology-led products that support low-cost, multi-currency payments and money management, operating … across several regulated markets. They're now investing further in their Data Science and AI capability and are looking for a Data Scientist to play a key role in shaping how advanced analytics, machine learning and AI are used across the business. The role As a Data ...

continually refine the AI initiatives portfolio and roadmap for the group. Run a structured intake process for new ideas, assessing value, feasibility, data readiness, ethical risk, and compliance. Define clear success measures for every proof of concept (PoC) and MVP, including KPIs, leading indicators, and decision gates to continue … MVPs (8–16 weeks) using Agile methods (Scrum or Kanban) with regular demos and retrospectives. Build and lead cross-functional squads including Product Owner, Data Scientists, ML Engineers, Integration Engineers, Solution Architect, and domain experts from Admissions, Registry and Student Services. Design experiments, test hypotheses, and iterate quickly, ensuring ...

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 ...

remote-first technology organisation headquartered in the UK, with a distributed team across Europe. The business operates in a highly data-driven environment, working closely with Product and Data Science teams to support an Educational AI pipeline. Data reliability, performance, and scalability are central … platform, and this role plays a key part in maintaining and evolving the underlying data infrastructure. You'll be joining a collaborative, distributed engineering team, with the opportunity to take real ownership of database systems and tooling. OUR BENEFITS: Remote-first working model Autonomous, trusted working environment Collaborative ...

reshaping the e-commerce landscape and offering customers more choice while driving real value for sellers. Your new role This role is about using data, technology and automation to drive measurable growth across multiple markets. You'll be responsible for shaping and delivering a performance strategy that spans … Bing Shopping, while also exploring opportunities across platforms like TikTok, Reddit, YouTube and Meta. A key part of the role is working closely with data science teams to integrate machine learning, propensity modelling and automation into activation and optimisation. Data will sit at the heart of everything ...

Role: Data Engineer Location:?Bournemouth, UK (?5 days per week in the office) Type: Permanent Note: VISA Sponsorship is not available Requirement: We are seeking a skilled Data Engineer to join our dynamic team. You will be responsible for designing, building, and maintaining robust data pipelines that … power predictive algorithms and business insights. Your work will directly impact the banks ability to manage cash efficiently and make data-driven decisions. Key Responsibilities End-to-End Data Pipeline Development Design, implement, and maintain scalable ETL/ELT pipelines for collecting, transforming, and delivering data across ...

seeking a skilled Data Engineer to join our dynamic team. You will be responsible for designing, building, and maintaining robust data pipelines that power predictive algorithms and business insights. Your work will directly impact the banks ability to manage cash efficiently and make data-driven decisions. … Responsibilities End-to-End Data Pipeline Development Design, implement, and maintain scalable ETL/ELT pipelines for collecting, transforming, and delivering data across systems. Ensure data quality, reliability, and timeliness throughout the pipeline. Data Integration & Movement Develop secure and efficient solutions for data movement between ...

deployments of ML models (batch and/or real-time) Putting robust CI/CD pipelines in place for ML workflows Partnering closely with Data Scientists to move models from notebooks into production Establishing best practices around model governance, monitoring, retraining, and environments Integrating ML platforms with Databricks … productionising ML models across multiple client or project environments Background in one or more of: MLOps/ML Engineering DevOps with ML platforms Data Science with a strong production focus Experience designing, supporting, and operating ML systems in production Technical environment (experience expected across most of these) MLflow ...

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. ...

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 ...

Experience with branching strategies and technical documentation About Peregrine We build workforces that deliver tech and change programmes at leading UK organisations. By combining data science from Peregrine Intelligence , our industry-accredited Peregrine Academy , and market-leading attraction and diversity initiatives, we bridge capability gaps at all levels … Specialist Talent team. That means youll work on-site or remotely with our clients, supporting them on complex, high-impact projects in Data, Digital and Business Transformation . Youll get the variety and challenge of consultancy work, with the stability and support of a permanent role. Youre ...

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 ...

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 ...