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- Tasks: Join us as a Manufacturing Data Scientist to enhance plant efficiency and analyze complex data.
- Company: Be part of a cutting-edge automotive manufacturing site in Liverpool, UK.
- Benefits: Enjoy a permanent role with opportunities for growth and skill development.
- Why this job: Make a real impact in a transformative environment while leading a digital team.
- Qualifications: 5+ years of experience in data analytics or related fields is required.
- Other info: This is a fully onsite position; no sponsorship available for 4 years.
The predicted salary is between 43200 - 72000 £ per year.
Are you ready to be a key player in a groundbreaking transformation within the automotive industry? We are looking for a talented Data Scientist to join our dynamic team at a state-of-the-art manufacturing site undergoing a monumental transformation.
Role: Manufacturing Data Scientist
Location: Liverpool, UK – L24 9LE
Work Mode: Fully Onsite
Role Type: Permanent (No sponsorship will be provided for 4 years)
Experience: 5+ years
Responsibilities:
- Drive plant efficiency using data science.
- Analyze and visualize complex manufacturing data.
- Develop dashboards and support various teams.
- Build a digital/data science team and deliver training.
Tech Stack:
- SQL, Python
- Big Data tools (eg, Hadoop, Spark)
- Cloud platforms (eg, AWS, Azure)
- Data visualization (eg, Power BI, Tableau)
- ETL tools (eg, Apache NiFi, Talend)
Requirements:
- Degree in Data Analytics, Computer Science, Statistics, Mathematics, or related field.
- Proven problem-solving and automation skills.
- Strong leadership and teamwork abilities.
If you’re ready to take your skills to the next level and make a difference in a dynamic environment, we want to hear from you! Apply now or send your CV.
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Manufacturing Data Scientist employer: Randstad Technologies
Contact Detail:
Randstad Technologies Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Manufacturing Data Scientist
✨Tip Number 1
Familiarize yourself with the specific tools mentioned in the job description, like SQL, Python, and data visualization platforms such as Power BI or Tableau. Having hands-on experience with these technologies will give you a significant edge during the interview process.
✨Tip Number 2
Showcase your problem-solving skills by preparing examples of past projects where you've successfully analyzed complex data sets or improved manufacturing processes. Be ready to discuss how your contributions led to measurable improvements.
✨Tip Number 3
Highlight any leadership experiences you have, especially if you've built or trained teams in the past. This role emphasizes teamwork and leadership, so demonstrating your ability to guide others will be crucial.
✨Tip Number 4
Research the company’s current initiatives in the automotive industry transformation. Being knowledgeable about their goals and challenges will allow you to tailor your responses and show that you're genuinely interested in contributing to their success.
We think you need these skills to ace Manufacturing Data Scientist
Some tips for your application 🫡
Understand the Role: Make sure you fully understand the responsibilities of a Manufacturing Data Scientist. Highlight your experience with data analysis, visualization, and team leadership in your application.
Tailor Your CV: Customize your CV to reflect the specific skills and experiences that align with the job description. Emphasize your proficiency in SQL, Python, and any relevant big data tools or cloud platforms.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for the automotive industry and your ability to drive plant efficiency through data science. Mention specific projects or achievements that demonstrate your problem-solving skills.
Highlight Leadership Experience: Since the role involves building a digital/data science team, be sure to include any past leadership experiences. Discuss how you've successfully led teams or delivered training in your previous roles.
How to prepare for a job interview at Randstad Technologies
✨Showcase Your Technical Skills
Be prepared to discuss your experience with SQL, Python, and big data tools like Hadoop or Spark. Highlight specific projects where you utilized these technologies to drive efficiency in manufacturing.
✨Demonstrate Problem-Solving Abilities
Prepare examples of how you've tackled complex problems in previous roles. Use the STAR method (Situation, Task, Action, Result) to structure your responses and clearly illustrate your thought process.
✨Emphasize Leadership and Teamwork
Since the role involves building a digital/data science team, be ready to discuss your leadership style and experiences. Share instances where you've successfully collaborated with cross-functional teams to achieve common goals.
✨Prepare for Data Visualization Questions
Familiarize yourself with data visualization tools like Power BI or Tableau. Be ready to explain how you've used these tools to create dashboards that support decision-making in a manufacturing context.
