9 senior software engineer jobs found

Our Digital Engineering team at ITG are responsible for building world class, enterprise grade digital applications for high profile brands. We pride ourselves in working with mature Agile methodologies and make use of the latest versions of technology. Our teams are structured in such a way that gives every employee the opportunity to learn new skills, work on various projects over time and see the results of your efforts in the online consumer marketplace. Joining the Digital Engineering function would see you work as part of a cross-functional, product style team, generally consisting of a Business Analyst, Scrum Master / Project Manager, Solution Architect, Lead Developers (FE and BE), Developers, and Testers (Manual and Automated). ITG require a talented Lead Java Developer to work on the development of a range of web based products and tools. Lead Java Developers are responsible for building and maintaining a range of websites and applications for our clients,...

Role overview The Principal Data Scientist will lead significant data science work across AWTG and client programmes, shaping technical direction, standards and delivery approaches. The role requires deep expertise in data science, strong leadership and the ability to turn advanced analytics into organisational impact. You will work with multidisciplinary teams across data, AI, software engineering, product, QA and delivery to create practical outcomes for clients and end users. Key responsibilities Lead the scoping, design and delivery of complex data science products, models and analytical solutions. Set standards for modelling, validation, reproducibility, coding, documentation and responsible AI practices. Identify opportunities to apply machine learning, predictive analytics, optimisation or advanced statistics to business challenges. Guide data scientists, analysts and engineers in selecting appropriate methods, architectures and tools....

Lead Data Scientist Role overview The Lead Data Scientist will act as a leader, coach and champion for data science, managing teams, setting direction and building organisational capability. The role ensures data science work is technically strong, ethical, scalable and aligned to client and business outcomes. You will work with multidisciplinary teams across data, AI, software engineering, product, QA and delivery to create practical outcomes for clients and end users. Key responsibilities Lead and manage data science teams or workstreams, setting clear direction and delivery priorities. Shape data science strategy, standards and reusable approaches across products, services or programmes. Coach data scientists and multidisciplinary teams in methods, tools, responsible AI and delivery practices. Oversee complex modelling, analytics and machine learning work, ensuring appropriate validation and assurance. Work with senior stakeholders to...

Our Digital Engineering team at ITG are responsible for building world class, enterprise grade digital applications for high profile brands. We pride ourselves in working with mature Agile methodologies and make use of the latest versions of technology. Our teams are structured in such a way that gives every employee the opportunity to learn new skills, work on various projects over time and see the results of your efforts in the online consumer marketplace. Joining the Digital Engineering function would see you work as part of a cross-functional, product style team, generally consisting of a Business Analyst, Scrum Master / Project Manager, Solution Architect, Lead Developers (FE and BE), Developers, and Testers (Manual and Automated). ITG require a talented Lead Java Developer to work on the development of a range of web based products and tools. Lead Java Developers are responsible for building and maintaining a range of websites and applications for our clients,...

Role overview The Principal Data Scientist will lead significant data science work across AWTG and client programmes, shaping technical direction, standards and delivery approaches. The role requires deep expertise in data science, strong leadership and the ability to turn advanced analytics into organisational impact. You will work with multidisciplinary teams across data, AI, software engineering, product, QA and delivery to create practical outcomes for clients and end users. Key responsibilities Lead the scoping, design and delivery of complex data science products, models and analytical solutions. Set standards for modelling, validation, reproducibility, coding, documentation and responsible AI practices. Identify opportunities to apply machine learning, predictive analytics, optimisation or advanced statistics to business challenges. Guide data scientists, analysts and engineers in selecting appropriate methods, architectures and tools....

Our Digital Engineering team at ITG are responsible for building world class, enterprise grade digital applications for high profile brands. We pride ourselves in working with mature Agile methodologies and make use of the latest versions of technology. Our teams are structured in such a way that gives every employee the opportunity to learn new skills, work on various projects over time and see the results of your efforts in the online consumer marketplace. Joining the Digital Engineering function would see you work as part of a cross-functional, product style team, generally consisting of a Business Analyst, Scrum Master / Project Manager, Solution Architect, Lead Developers (FE and BE), Developers, and Testers (Manual and Automated). ITG require a talented Lead Java Developer to work on the development of a range of web based products and tools. Lead Java Developers are responsible for building and maintaining a range of websites and applications for our clients,...

Role overview The Principal Data Scientist will lead significant data science work across AWTG and client programmes, shaping technical direction, standards and delivery approaches. The role requires deep expertise in data science, strong leadership and the ability to turn advanced analytics into organisational impact. You will work with multidisciplinary teams across data, AI, software engineering, product, QA and delivery to create practical outcomes for clients and end users. Key responsibilities Lead the scoping, design and delivery of complex data science products, models and analytical solutions. Set standards for modelling, validation, reproducibility, coding, documentation and responsible AI practices. Identify opportunities to apply machine learning, predictive analytics, optimisation or advanced statistics to business challenges. Guide data scientists, analysts and engineers in selecting appropriate methods, architectures and tools....

Our Digital Engineering team at ITG are responsible for building world class, enterprise grade digital applications for high profile brands. We pride ourselves in working with mature Agile methodologies and make use of the latest versions of technology. Our teams are structured in such a way that gives every employee the opportunity to learn new skills, work on various projects over time and see the results of your efforts in the online consumer marketplace. Joining the Digital Engineering function would see you work as part of a cross-functional, product style team, generally consisting of a Business Analyst, Scrum Master / Project Manager, Solution Architect, Lead Developers (FE and BE), Developers, and Testers (Manual and Automated). ITG require a talented Lead Java Developer to work on the development of a range of web based products and tools. Lead Java Developers are responsible for building and maintaining a range of websites and applications for our clients,...

Role overview The Principal Data Scientist will lead significant data science work across AWTG and client programmes, shaping technical direction, standards and delivery approaches. The role requires deep expertise in data science, strong leadership and the ability to turn advanced analytics into organisational impact. You will work with multidisciplinary teams across data, AI, software engineering, product, QA and delivery to create practical outcomes for clients and end users. Key responsibilities Lead the scoping, design and delivery of complex data science products, models and analytical solutions. Set standards for modelling, validation, reproducibility, coding, documentation and responsible AI practices. Identify opportunities to apply machine learning, predictive analytics, optimisation or advanced statistics to business challenges. Guide data scientists, analysts and engineers in selecting appropriate methods, architectures and tools....