At a Glance
- Tasks: Transform complex data into actionable insights and support analytics initiatives.
- Company: Join a leading global manufacturer with a state-of-the-art facility.
- Benefits: Competitive hourly rate, full-time hours, and hands-on experience.
- Other info: 12-month contract with opportunities for career growth.
- Why this job: Make a massive impact on global operations while developing your data skills.
- Qualifications: Experience in data engineering and analytics within corporate environments.
The predicted salary is between 65550 - 69300 £ per year.
Are you a skilled data specialist who thrives on turning complex data into actionable business intelligence? A large global manufacturer is seeking a dynamic Database Analyst/Programmer / Data Scientist to join their multidisciplinary team at their state-of-the-art plant in Larne, Northern Ireland. If you have hands-on experience building robust data pipelines, developing slick automation workflows, and working within structured, corporate environments, this full-time, on-site contract is your chance to make a massive impact on global operations.
12 month contract 31.50 - 33.50p/h (PAYE) 37.5 hours per week (8:00 am - 4:00 pm). In this hands-on individual contributor role, you will support data acquisition, integration, analytics, and automation initiatives across the business. You will be responsible for developing reliable data pipelines, delivering high-impact analytics, and supporting business reporting using established enterprise platforms.
Key Responsibilities- Data Engineering: cleanse, validate, transform, and manage enterprise data while supporting scheduled data loads and data quality checks.
- Analytics
Data Scientist employer: Randstad Engineering
Join a large global manufacturer in Larne, Northern Ireland, where you will be part of a vibrant and innovative work culture that values collaboration and creativity. With a focus on employee growth, the company offers extensive training opportunities and a supportive environment that encourages professional development. Enjoy competitive pay, a structured work schedule, and the chance to make a significant impact on global operations through your expertise in data science.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Network like a pro! Reach out to current employees at the company or in similar roles on LinkedIn. A friendly chat can give us insider info and might even lead to a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. We should be ready to discuss our experience with data pipelines and automation workflows, as these are key for the role.
✨Tip Number 3
Showcase our problem-solving skills during interviews. Think of examples where we turned complex data into actionable insights, as this will resonate well with the hiring team.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets noticed and shows that we’re genuinely interested in the position.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Scientist role. Highlight your experience with data pipelines and analytics, and don’t forget to mention any relevant tools or technologies you’ve used. We want to see how your skills match what we’re looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about data and how you can contribute to our team. Be sure to mention specific projects or experiences that relate to the job description.
Showcase Your Achievements:When detailing your experience, focus on your achievements rather than just listing duties. Use numbers and examples to demonstrate how you’ve made an impact in previous roles. We love seeing quantifiable results!
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at Randstad Engineering
✨Know Your Data Inside Out
Make sure you’re well-versed in the data tools and technologies mentioned in the job description. Brush up on your experience with data pipelines, automation workflows, and any specific programming languages or software that are relevant. Being able to discuss your hands-on experience confidently will impress the interviewers.
✨Prepare Real-World Examples
Think of specific projects where you’ve successfully cleansed, validated, or transformed data. Be ready to share how your contributions led to actionable insights or improved processes. This not only showcases your skills but also demonstrates your ability to make a tangible impact.
✨Understand the Business Context
Research the company and its operations. Understand how data plays a role in their business model and be prepared to discuss how your work as a Data Scientist can support their goals. Showing that you grasp the bigger picture will set you apart from other candidates.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the tools they use, and the challenges they face. This shows your genuine interest in the role and helps you assess if the company is the right fit for you. Plus, it opens up a dialogue that can lead to a more engaging conversation.
