ICOA Advanced Insights (Remote)

Salary: £49,000 - 89,000 per year

Requirements:

• At least 5 years of relevant experience and a relevant masters degree in data science, statistics, informatics, operations research, computer science, engineering, information systems, or a related discipline.
• Experience building data ecosystems and pipelines, processing and wrangling data, and producing analytics such as reports, BI dashboards, and machine learning models; knowledge of SQL and programming in Python or R.
• Proven ability to translate business requirements into realistic analytics and data integration goals, identify capability challenges, and propose solutions.
• A proven record of shaping and delivering key programs that optimize performance and provide project support in matrix environments.
• Experience with advanced analytics, including gaining insights from structured and unstructured data, predictive modelling, optimization, and associated systems and database infrastructure.
• Strong working knowledge of traditional statistical methodologies and supervised and unsupervised machine learning methods.
• High proficiency in Python or R.
• Familiarity with best practices for machine learning model development, validation, and deployment.
• Solid understanding of code lifecycle management and code repositories.
• Extensive experience with data wrangling, preprocessing, and engineering techniques on large datasets.
• Technical expertise, preferably in pharmaceutical clinical operations or a regulated industry, including experience with diverse and complex data integration, warehousing, and ingestion.

Responsibilities:

• Lead and execute clinical and operational advanced analytics projects or system improvements.
• Develop novel data science methodologies to generate insights from disparate data sources.
• Advise teams on identifying and applying appropriate data science methodologies to business problems.
• Work with business teams to formulate business problems and develop analysis plans.
• Develop supervised and unsupervised machine learning methodologies as appropriate to business needs.
• Develop scalable, robust code in relevant languages such as R or Python to support data science projects.
• Perform exploratory data analysis and system, integration, and database design analysis to generate insights and answer business questions.
• Maintain model lifecycle management using code repositories and version control tools.
• Perform data engineering, preprocessing, and wrangling using approaches such as SAS, SQL, NoSQL, and graph models.
• Thoroughly validate machine learning outputs to ensure high-quality work products.

Technologies:

• Support
• Machine Learning
• Matrix
• NoSQL
• Python
• SAS
• SQL

More:

We are IQVIA, a leading global provider of clinical research services, commercial insights, and healthcare intelligence for the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments and help improve patient outcomes and population health worldwide. This is a full-time role based in London, Manchester, or Reading, United Kingdom, and is not eligible for UK visa sponsorship. We are committed to integrity in our hiring process and have a zero-tolerance policy for candidate fraud. Application information and credentials must be truthful and complete; false statements, misrepresentations, or material omissions may result in disqualification or termination of employment, in accordance with applicable law.

last updated 39 week of 2026