Data & AI Solutions Consultant

You will work at the intersection of software engineering, data engineering, and artificial intelligence, translating business requirements into scalable, practical solutions while continuously growing your technical and consulting capabilities., * Support the development of end-to-end applications, from data ingestion and backend services to APIs and user-facing products.

• Build and contribute to scalable, production-ready software solutions.
• Take ownership of assigned workstreams from prototype development through production deployment and support.

AI & Automation

• Contribute to the design and implementation of AI-powered solutions, including LLM-based applications, agentic workflows, and automation tools.
• Support the integration of AI capabilities into commercial and operational processes.

Data & Integration

• Develop and maintain data pipelines, semantic models, and supporting data assets.
• Integrate systems through APIs and enterprise platforms.
• Collaborate closely with Commercial Operations and Sales teams to deliver high-impact solutions quickly and effectively.

• Experience building full-stack applications with exposure to backend, APIs, and frontend components.
• Strong backend development skills using Python (FastAPI or similar frameworks).
• Frontend experience with React and TypeScript is advantageous.

Backend Engineering

• Strong hands-on experience with Python and SQL (SQL Server / T-SQL).
• Understanding of RESTful APIs, authentication mechanisms, and Single Sign-On (SSO) concepts.
• Experience using Git (GitLab preferred), including code reviews and branching strategies.

AI / LLM Integration

• Exposure to integrating AI services such as OpenAI, Azure AI, or Anthropic.
• Experience working with practical AI use cases, including:
• Retrieval-Augmented Generation (RAG)
• Agent-based solutions
• Structured AI workflows and automation pipelines

Tier 2: Strongly Preferred

Power BI & Data Modelling

• Advanced Power BI skills, including:
• Data modelling
• DAX development
• Performance optimization
• Experience maintaining and enhancing existing dashboards and reporting solutions.

Data Engineering

• Understanding of modern data architecture concepts, including lakehouse and data warehousing environments.
• Experience building and managing ETL/ELT pipelines and data layers.
• Hands-on experience with SQL Server-based data engineering solutions.
• Experience with at least one of the following platforms:
• Microsoft Azure
• Snowflake
• Microsoft Fabric
• Databricks
• Familiarity with CI/CD implementation and deployment pipelines (GitLab preferred).

Tier 3: Nice to Have

• Infrastructure as Code (Terraform, Bicep, ARM Templates).
• MLOps, model deployment, and monitoring practices.
• Predictive modelling and machine learning fundamentals.
• Experience with enterprise deployment and application hosting platforms.
• Experience working with life sciences or healthcare data., * 2 to 4 years of experience in software engineering, data engineering, analytics engineering, or a related technical consulting role.
• Demonstrated experience contributing to end-to-end applications or data-driven solutions.
• Strong hands-on, builder mindset with a passion for learning and solving complex problems.
• Comfortable working in a fast-paced, product-oriented environment while collaborating closely with senior technical team members.
• Strong communication and stakeholder engagement skills, with the ability to translate business needs into technical solutions.

IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at [click to reveal website link]https://jobs.iqvia.com

IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism.