Jobs at Temus

As a Business Analyst, you will identify business problems, gather user requirements, and work with project teams to propose solutions and ensure effective delivery.

The role involves analyzing client needs for Epic systems, overseeing implementation, optimizing health IT solutions, and managing stakeholder relationships.

Collaborate on cross-functional teams to build Snowflake-based data pipelines and AI/ML-enabled financial data workflows. Ensure data quality, integrate AI products, maintain CI/CD and version control, and deliver reliable data warehouse and modelling solutions while receiving mentorship for growth.

Partner with clients to design, build, and deploy production-grade, cloud-native applications that integrate AI and data. Rapidly prototype, iterate, and productionise solutions, collaborate with product and AI teams, and act as a trusted technical advisor while delivering end-to-end solutions.

The Senior PMO Analyst tracks project progress, manages KPIs, oversees risk management, and facilitates communication with stakeholders to enhance project success.

The Senior Outsystems Developer will develop web and mobile applications, apply architectural principles, conduct testing, and guide other engineers.

As a Technical Lead, you will design, develop, and maintain scalable software systems while mentoring junior developers and ensuring code quality.

The Senior Employee Experience Executive manages payroll, employee records, onboarding, offboarding, benefits enrollment, and HR queries, ensuring a smooth employee journey.

The Data Scientist role involves designing experiments, analyzing model performance, and integrating ML features while collaborating in an Agile environment.

The People Partner will support HR operations, employee lifecycle management, and compensation & benefits administration while assisting with organizational change initiatives.

Lead end-to-end delivery of front-office initiatives (OMS/EMS implementations, trading platform enhancements, workflow optimization). Act as primary liaison between traders/portfolio managers and technology teams to gather requirements, define solutions, manage scope/timelines and drive user adoption, testing, training, and continuous improvement.

The IT Support Specialist will provide technical support for user devices and cloud environments, troubleshoot issues, and ensure optimal performance of IT systems.

Lead innovative research in AI/ML technologies, mentor researchers, collaborate across teams, and advocate for ethical AI at Temus, driving national-scale initiatives.

The intern will support AI & Data projects by analyzing data, developing machine learning models, and assisting with data visualization and preprocessing.

Design, develop, and maintain applications using Microsoft Power Platform. Integrate with Microsoft 365, and support existing solutions while collaborating with stakeholders.

The Design Intern supports the design team in brainstorming, developing presentations, and communicating designs effectively, while gaining exposure to AI technologies.

The Director of AI is responsible for solving complex AI challenges, exceeding client expectations, leading AI teams, and fostering ethical AI practices. They will create thought leadership and manage AI solutions from conception to commercialization while building client relationships and partnerships.

Design, build, and operationalise large-scale cloud data pipelines (batch and streaming) using Databricks/Snowflake and cloud platforms to support reporting, automated systems and AI/ML teams. Administer cloud data platforms, optimise SQL/storage, implement CI/CD, IaC, containerisation and serverless solutions, and collaborate with clients, partners and internal teams to scale data engineering deployments.

Lead multiple small teams to deliver end-to-end Newgen-based solutions. Design, implement, integrate, and maintain enterprise software; perform code reviews, POCs, testing, client coordination, risk analysis, and documentation to ensure compliant, high-performance deployments.

Drive end-to-end digital transformation by framing problems, designing AI-enabled solutions, prototyping, delivering via agile teams, and driving adoption and change through stakeholder engagement, training, and governance.