At a Glance
- Tasks: Transform complex business challenges into actionable insights using data science and machine learning.
- Company: Global manufacturing and engineering organisation with a focus on innovation.
- Benefits: Competitive salary, hybrid working, healthcare, pension, and employee share scheme.
- Other info: Opportunities for international projects and clear career progression.
- Why this job: Make a real impact by delivering data-driven insights and AI solutions.
- Qualifications: Degree in Data Science or related field; experience with Python, SQL, and analytics tools.
The predicted salary is between 45000 - 55000 £ per year.
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 within 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.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist - Analytics and Machine Learning in Dungannon
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like VANRATH!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Scientist - Analytics and Machine Learning at VANRATH.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like VANRATH.
✨Apply Directly through Our Website
When you find a suitable opening like Data Scientist - Analytics and Machine Learning at VANRATH, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Scientist - Analytics and Machine Learning in Dungannon
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at VANRATH, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at VANRATH. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at VANRATH
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at VANRATH!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
