Data scientist

Your new company

Our Company Our client is a well-established global manufacturing organisation investing heavily in digital transformation, data analytics, and AI-driven innovation. With operations spanning multiple sites, they are using data to enable smarter decision-making, improve operational performance, and drive continuous improvement across the business.

Your Role

Our client is seeking a Data Scientist - Analytics & Machine Learning to help deliver data-driven insights and AI-enabled solutions across operations, engineering, supply chain, and commercial functions. Working closely with business stakeholders, you will identify opportunities where analytics, machine learning, and AI can create measurable business value. You will translate complex challenges into practical solutions through data exploration, predictive modelling, dashboard development, and insight generation. This is a hands-on position offering the opportunity to work on impactful projects that directly influence business performance and strategic decision-making.

What You Need to Succeed

To be considered for this role, you should have: A degree in Data Science, Computer Science, Engineering, Analytics, or a related discipline. Experience delivering analytics, reporting, or machine learning solutions within a commercial environment. Strong technical skills in Python, SQL, and data analysis techniques. Experience working with enterprise data platforms and cloud-based environments. Knowledge of business intelligence and visualisation tools such as Power BI. Strong communication skills with the ability to engage effectively with both technical and non-technical stakeholders. A proactive, problem-solving approach and a passion for turning data into actionable business insights.

What You Can Get in Return In return, you will receive the opportunity to work on cutting-edge AI and machine learning initiatives. Exposure to large-scale data and digital transformation programmes. A collaborative and innovative working environment. Career development and progression opportunities within a global organisation. Competitive salary and benefits package. Flexible working arrangements and the opportunity to influence how data and AI are leveraged across the business. Interested? If you are passionate about analytics, AI, and using data to drive real business outcomes, we’d love to hear from you.

If you’re interested in this role, click ‘apply now’ to forward an up-to-date copy of your CV, or call us now.

If this job isn’t quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career. #4812983 - Roisin

To be considered for this role, you should have: A degree in Data Science, Computer Science, Engineering, Analytics, or a related discipline. Experience delivering analytics, reporting, or machine learning solutions within a commercial environment. Strong technical skills in Python, SQL, and data analysis techniques. Experience working with enterprise data platforms and cloud-based environments. Knowledge of business intelligence and visualisation tools such as Power BI. Strong communication skills with the ability to engage effectively with both technical and non-technical stakeholders. A proactive, problem-solving approach and a passion for turning data into actionable business insights.

In return, you will receive the opportunity to work on cutting-edge AI and machine learning initiatives. Exposure to large-scale data and digital transformation programmes. A collaborative and innovative working environment. Career development and progression opportunities within a global organisation. Competitive salary and benefits package. Flexible working arrangements and the opportunity to influence how data and AI are leveraged across the business. Interested? If you are passionate about analytics, AI, and using data to drive real business outcomes, we’d love to hear from you.

Our client is a well-established global manufacturing organisation investing heavily in digital transformation, data analytics, and AI-driven innovation. With operations spanning multiple sites, they are using data to enable smarter decision-making, improve operational performance, and drive continuous improvement across the business.