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Data Scientist - Job Opportunity at SimoTech

Cork, Ireland
Full-time
Mid-level
Posted: June 27, 2025
Hybrid
€65,000 - €85,000 annually based on mid-level data science roles in Ireland's pharmaceutical sector, with Cork's lower cost of living compared to Dublin potentially positioning salaries at the higher end of this range due to specialized pharmaceutical manufacturing expertise requirements.

Benefits

High degree of professional autonomy enabling maximum potential achievement and career self-direction
Comprehensive technical skill development through exposure to cutting-edge technologies across multiple engineering disciplines
Direct collaboration opportunities with Fortune 500 pharmaceutical clients on high-impact capital investment projects
Educational support programs for continuous professional development
Competitive salary package with structured career progression pathways
Hybrid work arrangement providing optimal work-life balance

Key Responsibilities

Lead the strategic evolution of data analytics capabilities aligned with enterprise digital transformation roadmap, directly impacting organizational competitive advantage
Architect and deploy advanced predictive models that drive measurable business process improvements and operational excellence
Spearhead data-driven continuous improvement initiatives across all site departments, delivering quantifiable performance enhancements
Partner with C-level stakeholders to translate complex business requirements into scalable analytical solutions that enhance decision-making quality
Build organizational data science capability through comprehensive user training and mentorship, establishing sustainable analytics competency
Own the development and maintenance of enterprise data aggregation platform (Tibco Statistica Informa) serving as critical infrastructure for process control
Serve as subject matter expert for data analytics, providing strategic guidance to internal stakeholders and business units
Deliver specialized data science support during high-stakes investigations, new process implementations, and regulatory change management
Ensure regulatory compliance through statistical validation supporting cGMP requirements, Continued Process Verification, and Annual Product Quality Reviews
Drive innovation through continuous monitoring of Industry 4.0 trends and strategic implementation of AI/ML solutions

Requirements

Education

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

Experience

Proven experience practising the applications of Data Science

Required Skills

High proficiency in the use of statistical tools, analytical methodologies, databases, and programming languages (Python, SQL, R, Excel, Minitab, etc.) Strong experience with Integrated Development Environments (IDE), e.g. Visual Studio Code, PyCharm, JupyterLab, etc. Experience developing and deploying Artificial Intelligence (AI) and Machine Learning (ML) models within a production environment Hands on experience with the Tibco platform or other visualisation software such as Tableau, Power BI, or R Strong analytical, technical, and problem-solving skills with the ability to make timely decisions The proven ability to quickly adapt to change, taking an Agile approach with a willingness to learn and be challenged Demonstrated strong ownership and accountability, with proven leadership and communication skills, including the ability to clearly and effectively communicate complex quantitative analyses in an actionable manner

Certifications

Experience within the highly regulated pharmaceutical industry working GMP regulations is an advantage An understanding of Lean and Six Sigma principles are preferred
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Sauge AI Market Intelligence

Industry Trends

The pharmaceutical manufacturing sector is experiencing unprecedented digital transformation driven by Industry 4.0 technologies, with companies investing heavily in data analytics platforms to optimize production efficiency and ensure regulatory compliance. This shift is creating substantial demand for data scientists who can bridge the gap between advanced analytics and manufacturing operations. Regulatory agencies are increasingly emphasizing data integrity and continuous process verification, requiring pharmaceutical companies to implement sophisticated statistical monitoring systems. This regulatory evolution is driving demand for data scientists with specialized knowledge in cGMP environments and validation protocols. The integration of AI and machine learning in pharmaceutical manufacturing is accelerating, with predictive maintenance, quality control optimization, and supply chain analytics becoming critical competitive differentiators. Companies are seeking data scientists who can deploy production-ready ML models in highly regulated environments.

Role Significance

Likely leading a small specialized analytics team of 2-4 professionals while collaborating across multiple cross-functional teams, with potential for team expansion as digital transformation initiatives mature.
This is a strategic mid-to-senior level position with significant autonomy and direct stakeholder engagement, indicating substantial influence over organizational data strategy and digital transformation initiatives. The role combines individual contributor excellence with leadership responsibilities in capability building.

Key Projects

Enterprise data platform implementation and optimization projects spanning multiple manufacturing sites Predictive analytics model development for process optimization and quality control enhancement Regulatory compliance automation initiatives supporting cGMP and validation requirements Cross-functional continuous improvement projects delivering measurable operational efficiency gains

Success Factors

Deep understanding of pharmaceutical manufacturing processes combined with advanced statistical modeling capabilities, enabling translation of complex operational challenges into actionable analytical solutions Strong stakeholder management and communication skills to effectively collaborate with diverse technical and business teams while maintaining credibility across organizational levels Proven ability to deploy production-ready AI/ML solutions in regulated environments, balancing innovation with strict compliance requirements Strategic thinking capabilities to align data science initiatives with broader business objectives and digital transformation roadmaps

Market Demand

High demand driven by digital transformation initiatives across Ireland's robust pharmaceutical manufacturing base, with limited supply of candidates possessing both advanced data science skills and regulatory compliance expertise.

Important Skills

Critical Skills

Python and SQL proficiency are absolutely essential as the foundation for all data manipulation, analysis, and model development activities in modern pharmaceutical manufacturing environments. These skills enable direct database interaction and automated analysis pipeline creation. Production ML model deployment experience is crucial because pharmaceutical manufacturing requires robust, validated models that operate continuously without failure. The ability to move from prototype to production-ready solutions distinguishes experienced practitioners from academic-focused candidates. Statistical analysis expertise using tools like R and Minitab is fundamental for regulatory compliance work, particularly in cGMP environments where statistical validation of processes is legally required and subject to regulatory audit. Data visualization platform experience, particularly with Tibco, Tableau, or Power BI, is critical for stakeholder communication and regulatory reporting, enabling complex analytical insights to be accessible to non-technical decision makers.

Beneficial Skills

Pharmaceutical industry experience with GMP regulations provides significant competitive advantage, as the intersection of advanced analytics with regulatory compliance represents a specialized skill set with limited market supply Lean Six Sigma knowledge enhances value proposition by connecting data science insights directly to operational improvement methodologies familiar to manufacturing organizations Agile methodology experience becomes increasingly important as pharmaceutical companies adopt more flexible development approaches for digital transformation initiatives Leadership and training capabilities multiply individual impact by building organizational analytics capacity and ensuring sustainable implementation of data science solutions

Unique Aspects

Direct embedded placement with multinational pharmaceutical client provides unprecedented access to large-scale manufacturing operations and strategic decision-making processes
Specialized focus on Tibco Statistica platform offers opportunity to develop deep expertise in enterprise-grade statistical software with strong market demand
Combination of data science innovation with strict regulatory compliance requirements creates unique skill set highly valued in pharmaceutical industry
Hybrid role structure balancing individual technical contribution with organizational capability building and training responsibilities

Career Growth

Progression to senior individual contributor roles typically achievable within 2-3 years, with management opportunities emerging within 3-5 years based on team expansion and digital transformation success.

Potential Next Roles

Senior Data Scientist or Principal Data Scientist roles with expanded scope across multiple manufacturing sites Data Science Manager or Analytics Director positions leading larger technical teams Digital Transformation Manager roles focusing on broader technology implementation beyond analytics Specialized consulting roles serving multiple pharmaceutical clients in regulatory analytics

Company Overview

SimoTech

SimoTech operates as a specialized engineering services provider focused exclusively on life sciences manufacturing, positioning the company at the intersection of advanced automation technology and pharmaceutical production. The company's focus on critical process automation systems and regulatory compliance places it in a niche but high-value market segment.

SimoTech appears to be a well-established mid-tier engineering services firm with strong relationships among multinational pharmaceutical companies, evidenced by their ability to secure long-term embedded roles with major clients in strategic locations like Cork.
Cork represents a strategic location given Ireland's position as a major pharmaceutical manufacturing hub for European and global markets, with SimoTech's presence indicating strong regional client relationships and growth potential in the Irish life sciences sector.
The company emphasizes collaborative teamwork, professional development, and technical excellence, suggesting a culture that values both individual contribution and collective success. The focus on client partnership and regulatory compliance indicates a professional, quality-focused work environment.
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