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- Tasks: Join a dynamic team as a Data Scientist, creating dashboards and data pipelines.
- Company: Work with a global manufacturing leader focused on innovation and analytics.
- Benefits: Earn £20/hour with flexible remote work options and potential contract extension.
- Why this job: Make an impact by streamlining processes and providing critical insights in a collaborative environment.
- Qualifications: Proficiency in Power BI, SQL, and programming languages like Python or R required.
- Other info: Immediate interviews available; apply now to kickstart your career!
Check you match the skill requirements for this role, as well as associated experience, then apply with your CV below.
Location: Desford, UK
Rate: £20/hour (Inside IR35)
Commute: 3 days a week in office
Contract: 12 months, likely to extend
We are hiring a Data Scientist for one of our global manufacturing clients. This is an exciting opportunity to join a high-performing team driving innovation in procurement and data analytics.
As a Data Scientist, you will support purchasing operations through the creation of automated dashboards, data pipelines, and real-time reporting tools. You'll use tools like Power BI, PowerApps, Python, and SQL to provide business-critical insights and streamline processes across the organization.
Requirements:
- Proficiency in Power BI, PowerApps, SQL, and at least one programming language (e.g., Python or R)
- Strong analytical skills and attention to detail
- Highly competent user of PowerApps, SharePoint, and Microsoft Office packages
- Strong understanding of statistical analysis, and data visualization tools (e.g., Tableau, Power BI)
- Ability to present complex data clearly to non-technical stakeholders
This is an urgent vacancy where the hiring manager is shortlisting for an interview immediately. Please apply with a copy of your CV.
Data Scientist employer: Randstad Technologies Recruitment
Contact Detail:
Randstad Technologies Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, such as Power BI and SQL. Consider creating a small project or dashboard that showcases your skills using these tools, as this can be a great talking point during interviews.
✨Tip Number 2
Brush up on your data visualisation skills, especially with Power BI and Tableau. Being able to present complex data clearly is crucial, so practice explaining your visualisations to someone without a technical background to enhance your communication skills.
✨Tip Number 3
Network with professionals in the data science field, particularly those who work in manufacturing or procurement. Engaging with industry-specific groups on platforms like LinkedIn can provide insights and potentially lead to referrals.
✨Tip Number 4
Prepare for potential technical interviews by reviewing common data science problems and case studies. Practising coding challenges in Python or R can help you feel more confident and ready to tackle any technical questions that may arise.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Match Your Skills: Before applying, ensure that your skills and experience align with the requirements listed in the job description. Highlight your proficiency in Power BI, PowerApps, SQL, and any programming languages you know, such as Python or R.
Tailor Your CV: Customise your CV to reflect the specific skills and experiences relevant to the Data Scientist role. Emphasise your analytical skills, experience with data visualisation tools, and any projects where you've presented complex data to non-technical stakeholders.
Craft a Compelling Cover Letter: If a cover letter is required, make sure to explain why you're interested in this position and how your background makes you a great fit. Mention your experience with automated dashboards and data pipelines, and express your enthusiasm for working in a high-performing team.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects attention to detail, which is crucial for a Data Scientist role.
How to prepare for a job interview at Randstad Technologies Recruitment
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in Power BI, PowerApps, SQL, and Python during the interview. Prepare examples of how you've used these tools in past projects to demonstrate your expertise.
✨Prepare for Analytical Questions
Expect questions that assess your analytical skills and attention to detail. Be ready to discuss specific instances where you solved complex problems using data analysis, and how your insights impacted decision-making.
✨Communicate Clearly with Non-Technical Stakeholders
Since you'll need to present complex data to non-technical stakeholders, practice explaining your past projects in simple terms. Use visuals or analogies to make your points clearer and more relatable.
✨Research the Company and Industry
Familiarise yourself with the company’s operations and the manufacturing industry. Understanding their challenges and how data science can drive innovation will help you tailor your responses and show genuine interest.
