[Hiring] Senior Data Scientist @Acuity Analytics

Role Description

We are looking for a Senior Data Scientist to support our pharmaceutical clients in delivering high quality, insight driven analytics across complex clinical and research datasets.

• Work closely with stakeholders across clinical, commercial, and analytics teams, acting as a trusted technical expert.
• Design, develop, and deliver advanced analytics solutions using modern cloud-based data platforms, focusing on clinical trial data and pharma-specific data sources.
• This is a highly consultative role requiring strong analytical depth, technical expertise, and the ability to translate complex data into actionable insights for varied stakeholder groups.

Qualifications

• Strong proficiency in Python and/or R (essential)
• Advanced SQL skills with experience querying and transforming complex datasets
• Proven experience working with Databricks in production analytics environments
• Strong analytical mindset with the ability to work with large, complex data sets
• Experience communicating insights clearly to non-technical stakeholders
• Hands-on experience within the pharmaceutical industry, ideally supporting clinical trials, trial design, and biostatistics
• Strong understanding of clinical trial data sources, such as DQS, Citeline, or similar platforms
• Experience working with Azure-based data and analytics solutions
• Familiarity with regulated data environments and high data quality standards
• Strong stakeholder management and relationship building skills
• Ability to balance technical delivery with business and domain context
• Confident communicator, able to explain complex analytical outputs in a clear and compelling way
• Collaborative and consultative approach to problem solving

Requirements

• Work closely with pharma and clinical stakeholders to understand analytical requirements
• Build and maintain scalable analytics solutions using Python/R, SQL, and Databricks
• Analyse and interpret complex clinical trial and pharma datasets
• Integrate and leverage clinical data sources such as DQS and Citeline
• Deliver insights that support evidence-based decision making across clinical and business teams
• Support best practices in data quality, governance, and reproducibility
• Act as a trusted analytics partner within multi-disciplinary client teams

Benefits

• People are at the Heart of our Business. By investing in people, we achieve exceptional results for our clients and create new opportunities for our teams to thrive.