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- Tasks: Provide statistical support for manufacturing and product performance across diverse projects.
- Company: Join Abbott Diabetes Care, a leader in innovative diabetes solutions.
- Benefits: Enjoy a competitive salary, collaborative environment, and opportunities for professional development.
- Why this job: Be part of a vibrant team, drive quality decisions, and impact new product launches.
- Qualifications: BSc in Statistics or Mathematics; SAS/R skills are a plus but not essential.
- Other info: 12-month contract with a friendly, diverse group of professionals.
The predicted salary is between 27500 - 39000 £ per year.
Pay rate: 32,500 per annum
Location: Witney
Hours: 37.5
Contract duration: 12 Months
The role comprises providing statistical support for the operations/manufacturing departments across the Abbott Diabetes Care (ADC) product range as well as collaborating with Technical, Manufacturing, Research & Development, Engineering, Quality and Regulatory colleagues. In this role, you would be joining a large vibrant, friendly and diverse group of Statisticians and SAS programmers, where you can expect to work across a diverse range of projects and utilise various statistical techniques. Our statistical teams collaborate to form a network of Statistics professionals, and offer members the opportunity to share best practices, leverage insights and skill-sharing, and build personal career expertise and professional development.
Key activities as a Statistician include:
- Investigation and monitoring of manufacturing and product performance data to drive continuous improvement.
- Transfer of products and processes from Research & Development into Manufacturing to support our exciting new product launches.
- To be a key individual supporting development trials utilising your statistical background to drive quality and business decisions.
Essential Skills and Experience:
You will have a BSc (or higher) in Statistics or Mathematics. Previous experience working in a regulated or manufacturing environment, and SAS/R programming skills are advantageous but not required. We will expect you to be able to successfully contribute to a small number of projects, and work with colleagues from a range of backgrounds to explain statistical concepts to them. Additionally, you’ll need to be adaptable, have a keen eye for detail, excellent written and verbal communication abilities, strong collaboration and team-working skills.
Graduate-Statistics/Mathematics employer: Randstad Delivery
Contact Detail:
Randstad Delivery Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Graduate-Statistics/Mathematics
✨Tip Number 1
Familiarise yourself with the specific statistical techniques and software mentioned in the job description, such as SAS or R. Even if you don't have extensive experience, showing that you've taken the initiative to learn these tools can set you apart.
✨Tip Number 2
Network with professionals in the field of statistics and manufacturing. Attend relevant workshops or webinars where you can meet people who work at Abbott or similar companies. This can help you gain insights into the company culture and potentially get a referral.
✨Tip Number 3
Prepare to discuss how your academic projects or any relevant experience can contribute to the role. Think about specific examples where you've used statistical methods to solve problems or improve processes, as this will demonstrate your practical understanding.
✨Tip Number 4
Showcase your collaboration skills by preparing to discuss past experiences where you've worked in teams. Highlight how you communicated complex statistical concepts to non-statisticians, as this is crucial for the role and will demonstrate your ability to work across departments.
We think you need these skills to ace Graduate-Statistics/Mathematics
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your BSc in Statistics or Mathematics prominently. Include any relevant coursework, projects, or experiences that demonstrate your statistical skills and ability to work in a team.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention specific projects or experiences that relate to the key activities listed in the job description, such as your ability to investigate and monitor data for continuous improvement.
Showcase Communication Skills: Since excellent written and verbal communication abilities are essential, consider including examples in your application where you successfully explained complex statistical concepts to non-statisticians or collaborated with diverse teams.
Highlight Adaptability: Demonstrate your adaptability by providing examples of how you've successfully adjusted to new challenges or environments in previous roles or academic projects. This will show that you're ready to thrive in a dynamic setting like Abbott Diabetes Care.
How to prepare for a job interview at Randstad Delivery
✨Showcase Your Statistical Knowledge
Make sure to brush up on your statistical concepts and techniques. Be prepared to discuss how you've applied these in past projects or studies, as this will demonstrate your understanding and ability to contribute effectively.
✨Highlight Team Collaboration Skills
Since the role involves working with diverse teams, share examples of how you've successfully collaborated with others. Emphasise your communication skills and adaptability, as these are crucial for explaining complex statistical ideas to non-experts.
✨Prepare for Technical Questions
Even though SAS/R programming skills are not mandatory, having a basic understanding can set you apart. Be ready to discuss any relevant experience you have with data analysis tools and how you would approach statistical problems in a manufacturing context.
✨Demonstrate Continuous Improvement Mindset
The role focuses on driving continuous improvement through data analysis. Prepare to discuss how you've identified areas for improvement in previous roles or projects, and be ready to suggest how you could apply this mindset in the new position.
