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DATA SCIENTIST - Job Opportunity at Réalta Technologies (RT)

Cork, Ireland
Full-time
Mid-level
Posted: June 17, 2025
On-site
EUR 65,000 - 85,000 per year (approximately USD 70,000 - 92,000), reflecting the specialized nature of pharmaceutical data science roles in Ireland's competitive market, with potential for performance bonuses and comprehensive benefits packages typical of multinational pharmaceutical operations

Key Responsibilities

Lead the evolution of site-wide data analytical strategy within the digital transformation roadmap, positioning the organization at the forefront of pharmaceutical manufacturing intelligence
Architect and deploy sophisticated analytical models that drive measurable business process improvements and operational excellence across manufacturing operations
Spearhead continuous improvement initiatives through advanced data science methodologies, directly impacting site performance metrics and competitive positioning
Partner with cross-functional Process Centric Teams to translate complex business requirements into actionable analytical solutions that enhance decision-making quality and operational efficiency
Establish and expand organizational data analytics capabilities through comprehensive training programs and hands-on project support, building sustainable analytical competency
Maintain and enhance the enterprise data aggregation platform (Tibco Statistica Informa) serving as the backbone for process control and analytical operations
Serve as the primary subject matter expert for data visualization and consumption, ensuring optimal utilization of analytical insights across the organization
Provide critical data science support during high-stakes investigations, new process implementations, and change management initiatives
Ensure regulatory compliance through statistical analysis supporting cGMP requirements, including Continued Process Verification and Annual Product Quality Reviews
Drive innovation by monitoring and implementing Industry 4.0 trends and emerging AI/ML technologies in pharmaceutical manufacturing

Requirements

Education

Bachelors / Masters Degree in Maths, Science, Data Science, Data Analytics, Computer Science or related field

Experience

4-5 years' experience min working with Data Science applications

Required Skills

Strong experience in the use of statistical tools, databases, analytical methodologies and programming languages (SQL, Python, R, Excel, Minitab, etc.) Strong experience with Integrated Development Environments (IDE) E.g. Visual Studio Code, JupyterLab, PyCharm etc. Artificial Intelligence (AI) \ Machine Learning (ML) model development and deploying ML models in production Experience of using Tibco's data science analytical platforms or other visualisation software such as Power BI, Tableau, or R Understanding of pharmaceutical manufacturing industry processes and familiarity with GMP regulations would be an advantage Understanding of the concepts and tools of both Lean and Six Sigma JIRA experience Strong technical, analytical and problem-solving skills with ability to make timely decisions Strong ownership and accountability Demonstrated leadership and communication skills. In particular, the ability to communicate complex quantitative analysis in a clear, precise, and actionable manner
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Sauge AI Market Intelligence

Industry Trends

The pharmaceutical industry is experiencing a significant digital transformation driven by Industry 4.0 initiatives, with companies investing heavily in data analytics platforms to optimize manufacturing processes and ensure regulatory compliance. This trend is accelerating post-COVID as organizations recognize the critical importance of agile, data-driven operations for maintaining competitive advantage and meeting global demand fluctuations. Regulatory bodies are increasingly emphasizing data integrity and statistical process control in pharmaceutical manufacturing, creating growing demand for professionals who can bridge the gap between advanced analytics and GMP compliance requirements. The integration of AI/ML models into production environments is becoming standard practice for predictive maintenance and quality assurance. Ireland has emerged as a major pharmaceutical manufacturing hub in Europe, with significant investments from global pharmaceutical companies establishing Cork as a key location for advanced manufacturing operations. This concentration of pharmaceutical activity is driving intense competition for skilled data scientists with industry-specific knowledge and regulatory understanding.

Role Significance

Typically operates within a small, specialized analytics team of 3-5 professionals, likely reporting to a Senior Data Science Manager or Head of Digital Operations, with matrix relationships across multiple process teams and direct influence on site-wide analytical capabilities
This is a mid-level individual contributor role with significant strategic influence, requiring independent execution of complex analytical projects while collaborating with senior stakeholders. The position carries substantial responsibility for site-wide analytical strategy and regulatory compliance, indicating a role that bridges technical execution with business strategy.

Key Projects

Implementation of predictive maintenance models for critical manufacturing equipment to minimize downtime and optimize production schedules Development of real-time quality monitoring systems using statistical process control to ensure product consistency and regulatory compliance Creation of comprehensive dashboards and visualization platforms for executive decision-making on production optimization and resource allocation Statistical analysis and modeling for regulatory submissions including process validation studies and annual product quality reviews

Success Factors

Deep understanding of pharmaceutical manufacturing processes combined with advanced statistical modeling capabilities, enabling the translation of complex operational challenges into actionable analytical solutions that drive measurable business impact Exceptional communication skills to effectively bridge the gap between technical analytical findings and business stakeholders, ensuring that complex quantitative insights are translated into clear, actionable recommendations for operational improvements Strong regulatory knowledge and experience with GMP requirements, essential for ensuring that all analytical work meets pharmaceutical industry standards and supports regulatory compliance objectives Proven ability to work independently while managing multiple concurrent projects, demonstrating strong project management skills and the ability to prioritize initiatives based on business impact and regulatory requirements

Market Demand

High demand driven by pharmaceutical industry digital transformation, regulatory compliance requirements, and Ireland's position as a European pharmaceutical manufacturing center, with limited supply of candidates possessing both advanced data science skills and pharmaceutical industry knowledge

Important Skills

Critical Skills

Python and R programming skills are absolutely essential as these are the primary languages for advanced statistical analysis and machine learning model development in pharmaceutical applications. Proficiency in these languages enables the development of sophisticated analytical models and automation of complex statistical processes required for regulatory compliance and process optimization. SQL database skills are critical for data extraction and manipulation from manufacturing execution systems and quality databases that contain the operational data necessary for analytical modeling. Strong SQL capabilities enable efficient data aggregation and preparation for advanced analytics. Statistical analysis expertise using tools like Minitab is fundamental for pharmaceutical manufacturing analytics, as these tools are industry standard for process validation, statistical process control, and regulatory submissions. Deep understanding of statistical methodologies is essential for ensuring analytical rigor and regulatory compliance.

Beneficial Skills

Six Sigma methodology knowledge enhances the ability to structure improvement projects and communicate with process improvement teams using established frameworks familiar to manufacturing organizations Lean manufacturing principles understanding provides valuable context for identifying waste reduction opportunities and process optimization initiatives that align with operational excellence objectives JIRA experience facilitates effective project management and collaboration with IT and process teams, essential for managing complex analytical projects with multiple stakeholders and dependencies

Unique Aspects

Specialized focus on Tibco Statistica Informa platform, providing expertise in a specialized analytical tool that is widely used in pharmaceutical manufacturing but requires specific knowledge and experience
Direct integration with pharmaceutical manufacturing operations, offering hands-on experience with GMP-regulated environments and real-world application of data science in critical production settings
Combination of strategic analytical work with regulatory compliance requirements, providing unique experience in balancing innovation with strict pharmaceutical industry standards
Opportunity to influence site-wide digital transformation initiatives while working as a consultant, offering broader exposure to organizational change management and strategic implementation

Career Growth

Typical progression to senior individual contributor roles within 2-3 years, with management opportunities emerging after 4-5 years of demonstrated success in strategic project delivery and team leadership

Potential Next Roles

Senior Data Scientist or Principal Data Scientist roles with expanded responsibility for analytical strategy and team leadership Data Science Manager positions overseeing analytical teams and driving enterprise-wide digital transformation initiatives Head of Analytics or Director of Data Science roles with P&L responsibility and strategic influence on organizational direction Specialized roles such as AI/ML Engineering Manager focusing on production deployment of advanced analytical models

Company Overview

Réalta Technologies (RT)

Réalta Technologies operates as a specialized technology consulting firm serving the pharmaceutical and life sciences sector, with particular expertise in digital transformation and advanced analytics implementation. The company serves as a strategic partner to major pharmaceutical manufacturers, providing specialized talent and technical expertise for critical operational initiatives.

Positioned as a niche player in the pharmaceutical technology services market, with strong relationships with major pharmaceutical companies operating in Ireland. The company's focus on data science and digital transformation aligns with current industry priorities, providing competitive advantage in securing high-value client engagements.
Cork location provides strategic access to Ireland's concentrated pharmaceutical manufacturing sector, including major operations from global pharmaceutical companies. This positioning enables close collaboration with client operations and deep understanding of local regulatory and operational requirements.
Consulting environment emphasizing client service excellence, technical innovation, and professional development. The culture likely supports continuous learning and exposure to cutting-edge technologies, with opportunities to work on diverse projects across multiple pharmaceutical clients and therapeutic areas.
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