Senior Associate Data Analytics
Hybrid / remote
RK5743
Contract 12 months
Dublin



We’re currently recruiting for an exciting opportunity with an award-winning Pharmaceutical organization based in Dublin. This is an excellent position for anyone who is looking to join a leading multinational who are one of the best at what they do.




Key Responsibilities:

• Work in technical teams in the development, deployment and application of applied analytics, predictive analytics, prescriptive analytics.
• Translate complex business processes into production level code.
• Work alongside software engineers to translate algorithms into viable products meeting business requirements.
• Perform exploratory and targeted data analyses using descriptive statistics and other methods.
• Develop, evaluate, and maintain AI/ML and generative AI solutions, including model validation, monitoring, and performance optimization.
• Work with data engineers on data quality assessment, data cleansing and data analytics.
• Generate reports, annotated code, and other projects artifacts to document, archive, and communicate your work and outcomes.
• Perform data verification and scenario testing of developed solutions ensuring business requirements are met.
• Explore emerging and alternate technologies to support digital solution advancement.
• Support code level troubleshooting activities.
• Work with IS teams/resolver groups.
• Share and discuss findings with team members practicing SAFe Agile delivery model.
• Ensure AI/ML/Digital solution development complies with GxP and other regulatory standards, fostering a strong Quality culture.

• Bachelor’s degree with 4 - 5 years of experience in Software Engineering, Data Science, or ML Engineering
• Experience with advanced statistical/analytical techniques and machine learning algorithms for structured and unstructured data.
• Experience developing, evaluating, and deploying generative AI solutions, including large language models (LLMs), retrieval-augmented generation (RAG), agentic workflows, prompt engineering, fine-tuning, and model evaluation.
• Current knowledge of modern AI/ML technologies, algorithms, and frameworks, with experience building and operationalizing predictive, machine learning, and generative AI models.
• High proficiency in programming languages, with emphasis on SQL and Python.
• Experience with cloud platforms (AWS, Azure, GCP) and tools such as Spark and Databricks.