You will move beyond the basics and master the full data lifecycle: Core Tools: Gain hands-on skills in Excel, SQL, Tableau, and Power BI. Data Sourcing: Understand common data sources and how to collect data effectively. Processing: Learn to format, blend, link, and save datasets using professional tools.
🚀 About Webigence and Spark Travel Webigence has 25 years of experience crafting UX‑first, often highly complex software. Our engineers pair forward‑thinking agile practices with an obsession for intuitive design, shipping products that feel effortless even when the logic underneath is anything but. Alongside a handful of long‑standing third‑party clients, we’re scaling our own SaaS...
Job Title: Junior Data Scientist Location: London Experience: 2–5 years Education: Master's in Science (IT/Computer Science/Engineer) Employment Type: Full-Time UK based candidates only. About the Role We are looking for a motivated Junior Data Scientist to join our data team and contribute to the development of data-driven solutions. This entry-level position offers an excellent...
You will follow the firm’s career progression programme and will receive industry recognised training in: . NET 9, JavaScript, React, Angular 19, Microservices, MongoDB, Vue. js, TypeScript, Azure, AWS, Web API 2, Entity Framework, Node. js, Elasticsearch, Agile, TDD, BDD, Scrum, Kanban and MongoDB.
You will work across a variety of complex analytical problems, owning experimentation end-to-end—even when ideal conditions such as user randomisation or high statistical power are not present.
You will work across a diverse portfolio of client assignments, delivering technical solutions that address a wide spectrum of data-related challenges and enabling organisations to make informed, data-driven decisions. In this position, you'll design and implement advanced data systems and pipelines that meet clients' needs with scalability and reliability in mind.
Graduate .NET Developer Manchester | Hybrid (2 days office / 3 days remote) Up to £30,000 Permanent We’re working with a well-established Manchester-based digital agency that builds modern digital platforms for well-known clients across the UK and internationally. The business has a strong engineering culture, very low staff turnover, and a genuine focus on developing people rather than burning...
You will have knowledge of software development and some exposure to mentoring junior Engineers would be a benefit.
You will be happy solving technical problems for customers even if this means working with new technologies. They have a vast array of already built products so candidates will have a lot of working product source code to help get started.
You will work closely with senior stakeholders, translating business requirements into robust and scalable data models.
You will play a key role in delivering large, complex data initiatives across multiple functional groups within a fast-paced environment.
You will contribute to the development of innovative data solutions, sharing your expertise and best practices with clients and colleagues.
You will cover skills such as data mining, manipulating data, visualising data, and reporting on data. Study time for the qualification is approximately 30 hours and qualification is achieved by completing a 1-hour multiple choice exam.
You will be provided with access to a tutor and a 1-hour online revision workshop prior to sitting your exam.
You must be a resident in the UK and have been living continuously in the UK for the last five years.
You must be able to hold or gain a UK government security clearance.
You will foster a collaborative environment where knowledge sharing and continuous improvement are paramount.
You will be responsible for maintaining and advancing our data reporting systems, ensuring they provide a robust foundation for data-driven decision-making across the company.
You will have the technical support of an established machine learning function, to then create fully automated machine learning pipelines.
You will be supported by an Operations Insight function that have vast experience in the delivery, evaluation, and performance tracking of machine learning models.
You will be using your pricing and underwriting skills and experience to help us achieve best in class pricing capability. Key responsibilities include: Carry out research on new pricing approaches and changes to existing approaches Propose and deliver strategic pricing changes to drive value and better customer outcomes
You will collaborate closely with business units, product teams, and stakeholders to design, implement, and deploy data-driven models that optimize processes, enhance client experiences, and support strategic decision-making.
You will work closely with senior stakeholders, translating business requirements into robust and scalable data models.
You will play a key role in delivering large, complex data initiatives across multiple functional groups within a fast-paced environment.
You will contribute to the development of innovative data solutions, sharing your expertise and best practices with clients and colleagues.
NET Developer Manchester | Hybrid (2 days office / 3 days remote) We’re partnered with a well-established Manchester-based digital agency that designs and builds modern digital platforms for high-profile clients across the UK and internationally. Known for strong engineering standards and low staff turnover, this business offers a stable environment with modern technology and long-term career...
You will have knowledge of software development and some exposure to mentoring junior Engineers would be a benefit.
You will be happy solving technical problems for customers even if this means working with new technologies. They have a vast array of already built products so candidates will have a lot of working product source code to help get started.
🚀 About Webigence and Spark Travel Webigence has 25 years of experience crafting UX‑first, often highly complex software. Our engineers pair forward‑thinking agile practices with an obsession for intuitive design, shipping products that feel effortless even when the logic underneath is anything but. Alongside a handful of long‑standing third‑party clients, we’re scaling our own SaaS...
You will cover skills such as data mining, manipulating data, visualising data, and reporting on data. Study time for the qualification is approximately 30 hours and qualification is achieved by completing a 1-hour multiple choice exam.
You will be provided with access to a tutor and a 1-hour online revision workshop prior to sitting your exam.