Data Scientist - Analytics and Machine Learning

Job Description My client, a global manufacturing and engineering organisation, is seeking a Data Scientist - Analytics & Machine Learning to join their Business Solutions team in Northern Ireland. This role can be based across multiple sites and will support a large-scale manufacturing operation through the delivery of data-driven insights, advanced analytics, and AI-enabled solutions.
* Competitive salary and benefits package
* Hybrid and flexible working options
* Pension scheme and healthcare benefits
* Employee share purchase scheme
* Ongoing training and professional development
* International project exposure
* Clear career progression opportunities This role will support key business functions across operations, engineering, supply chain, and commercial teams by leveraging data, analytics, machine learning, and AI to improve decision-making and business performance. Working closely with stakeholders across the organisation, you will identify opportunities where advanced analytics can deliver measurable value and help transform complex business challenges into actionable insights.

This is a hands-on position focused on delivering real-world business outcomes through data science, predictive analytics, reporting, and machine learning initiatives.

Key Responsibilities Business Understanding & Insight Delivery Develop a strong understanding of business processes across operations, engineering, supply chain, and commercial functions. Partner with operational leaders and digital transformation teams to identify analytics and AI opportunities. Translate business challenges into practical data and AI use cases with measurable outcomes. Provide data-driven recommendations that support operational efficiency and performance improvement. Data Analytics, AI & Machine Learning Deliver descriptive, diagnostic, and predictive analytics to improve business performance.

Support machine learning and AI initiatives through:
Data exploration and preparation Model development and evaluation Dashboarding and insight generation Prepare, cleanse, and rationalise data for analytics and AI projects. Identify trends, risks, and opportunities within complex datasets. Data Platforms & Reporting Work with enterprise data platforms and cloud-based data environments. Query, analyse, and model data using modern analytics technologies. Develop and maintain dashboards and visualisations using Power BI or similar tools.

Support the evolution of reporting and analytics capabilities across the business. Systems Integration & Collaboration Collaborate with IT and business teams on data integration initiatives. Support integrations across reporting platforms, operational systems, ERP solutions, and analytics environments. Ensure compliance with data governance, security, and best-practice standards. Contribute to continuous improvement initiatives across data and analytics functions.

The Person

Essential Criteria Degree qualification in Data Science, Computer Science, Engineering, Mathematics, Analytics, or a related discipline. Commercial experience working with data analytics, machine learning, or AI solutions. Strong experience with Python, SQL, or similar analytics technologies. Experience working with enterprise data platforms and cloud-based environments. Experience designing and delivering reporting or analytics solutions using Power BI or similar BI tools. Understanding of data integration, enterprise systems, and operational business processes.

Knowledge of data governance, security, and compliance frameworks. Strong communication skills with the ability to engage both technical and non-technical stakeholders. Ability to work effectively across business and IT teams. Desirable Criteria

Experience with in manufacturing, engineering, industrial, or operational environments. Exposure to cloud platforms such as AWS, Azure, Snowflake, Databricks, or similar technologies.

Experience with ERP, MES, or other enterprise operational systems. Experience supporting AI-enabled analytics or machine learning projects. Key Skills Strong commercial awareness. Excellent analytical and problem-solving skills. Strong organisational and planning abilities. Ability to manage multiple priorities effectively. High attention to detail and documentation standards. Self-motivated and proactive approach. Adaptable and resilient in a fast-paced environment. Excellent communication and stakeholder management skills.

Ability to deliver training and support to business users. Additional Information Travel between company locations may be required. Occasional international travel may be required (up to 25%). Candidates who may not meet every requirement but possess relevant experience are encouraged to apply. For further information on this opportunity, or any other Data Science, AI, Analytics, Machine Learning, or Data Engineering roles in Northern Ireland, apply via the link or contact the recruitment team for a confidential discussion.