Senior Associate Data Analytics

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.

Education and Experience:

• 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.

If interested in this posting please feel free to contact Rachel Kent at Life Science Recruitment for further information.