You are as unique as your background, experience and point of view. Here, you'll be encouraged, empowered and challenged to be your best self. You'll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you'll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.Job Description:Design, develop, support, deploy and/or test and influence leading data science and machine learning solutions of medium scale that are high-quality, innovative, efficient, creative, scalable, adaptable, dynamic, fully performing and comply with all standards and best practices in support of business and Client outcomes and objectives. Work independently and applies leading data and analytical skills, tools, practices, and techniques to all deliverables. Exhibits leading understanding of data and analytical concepts such as: data modeling, development, testing, governance, security, performance, DevSecOps, data administration, data technologies, agile planning, and focused on learning more about these domains and continuously honing their craft. Lead across U.S. IT and business groups our strategy of realizing business value from data and utilizing data as a strategic asset. Ability to focus on task at hand, follow-through on prescribed plan with ability to be flexible and think under pressure. Highly motivated team player with a strong desire to learn, grow, and continuously improve.Preferred skillsLeading data science, machine learning models and IT solutions development (programming) foundation.Proficiency in Python and R programing languages.Strong ability in utilizing data science platforms (Dataiku a distinct advantage) along with Linux, container and AWS based environments.Knowledge in AI and GenAI based development patterns (for example: RAG).Ability to apply leading testing skills, tools/frameworks, techniques, processes, and principles to software solutions in support of defect management, automation, diagnosis and reporting in a complex production environment; writes and executes test plansAbility to collaborate on, drive and deliver data-informed product strategiesImprove data quality, application and database performance, reliability, and scaleEffectively utilize, influence, and lead multiple data model and data development and deployment methodologies, processes, development best practices and DevSecOps and DataOps principlesRemain current with technology trends and influence change across U.S. ITLeading understanding of data governance, data protection, privacy, and security best practicesParticipate in data modeling and data analysis, development and testing, ability approve the design on medium data product features, and validate vulnerability fixesAbility to write data mapping and metadata specifications for medium featuresTechnically minded problem solverQualificationsBachelors / Masters degree in computing or numerical areas - or equivalent industry experience.ResponsibilitiesDesign, develop, install and/or test leading data science and machine learning solutions that are high-quality, innovative, efficient, secure, creative, scalable, adaptable, dynamic, fully performing and comply with all standards and best practices in support of business and Client outcomes and objectivesDrive U.S. IT and U.S. business groups to deliver data-informed product strategiesHelp make data more useful and accessible for consumers of dataExecute full software and product development life cycle (SDLC) and lead continuous improvements leveraging Agile best practicesDevelop leading deliverables to deliver value generating data solution(s) seeking business and Client feedback across U.S. IT and business groupsWrite advanced well-designed, testable, flexible, and scalable data science and machine learning models and supporting codeTransform and map data from source to destination using various technology solutionsProduce specifications and determine operational feasibilityIntegrate leading software components into a fully functional software systemDevelop leading software verification (testing) plans and quality assurance proceduresDocument and maintain leading technical solution functionalityTroubleshoot, debug, and upgrade existing systemsDeploy leading programs and evaluate business and Client feedbackEnsure data solutions are updated with latest featuresParticipate in code reviews, ability to sign off on large features, and validate vulnerability fixesAbility to write functional specifications for large featuresLead improvements to data product quality, performance, reliability, and scale within domainsEffectively mentor other engineersProactively improve application performance, reliability, and scaleAugment existing data sets with other data sources (i.e. external) to make reusable data assetsAwareness of industry trends, vendors, tools, and other technology solutions to influence architectural design and decisionsLead a "data-first" approach to problem solving and designing IT solutionJob Category:Advanced AnalyticsPosting End Date:24/10/2025