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- Tasks: Join a team to apply scientific methods and build machine learning pipelines.
- Company: Work for a leading multinational Aerospace & Defence organization.
- Benefits: Enjoy hybrid working, competitive salary, and additional benefits.
- Why this job: Make an impact by solving real-world challenges with data science.
- Qualifications: Experience with Python, MATLAB, Kubernetes, and TensorFlow required.
- Other info: Collaborate across departments and promote best practices in data science.
Data Scientist Warton(Near Preston) Hybrid working £45,000-£55,000+ Benefits My client are a multinational Aerospace & defence organisation. They are looking for an experienced Data Scientist to join their team working on a hybrid basis. What you'll be doing: Applying scientific methods through experimental design, exploratory data analysis and hypothesis testing to reach robust conclusions Building scalable machine learning pipelines and combining feature engineering with optimisation methods to improve the data product performance Exploring ways of using new data science tools and techniques to address business and organisational challenges Sharing data science practices across all departments, promoting professional development and use of best practice across all capabilities identified for data scientists Applying data science techniques to present, communicate and disseminate data science products effectively, appropriately and with high impact Working with technologists to design, create, test and document data products with agreed software development standards, including security, accessibility and version control Contributing to decision-making throughout the product life cycle by using data sources, analytical techniques and toolsYour skills and experiences: Experience using data tools such as Python, MATLAB, Kubernetes and TensorFlow Hold a mathematical background with a strong understanding of statistical data Inquiring mindset with the ability to translate data sets to customersTo apply for this role please send your cv to Peter Bibby on the email address below
Data Scientist employer: Manpower UK Ltd
Contact Detail:
Manpower UK Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Familiarize yourself with the specific data tools mentioned in the job description, such as Python, MATLAB, Kubernetes, and TensorFlow. Having hands-on experience or projects showcasing your skills with these tools can set you apart from other candidates.
✨Tip Number 2
Highlight any experience you have with experimental design and hypothesis testing. Be prepared to discuss how you've applied these methods in previous roles or projects, as this is a key aspect of the position.
✨Tip Number 3
Showcase your ability to communicate complex data science concepts effectively. Prepare examples of how you've presented data findings to non-technical stakeholders, as this will demonstrate your capability to bridge the gap between data and business needs.
✨Tip Number 4
Research the aerospace and defense industry to understand the specific challenges they face. Tailoring your knowledge and insights to align with their business goals can make a strong impression during discussions.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the job description. Emphasize your proficiency in data tools like Python, MATLAB, Kubernetes, and TensorFlow.
Craft a Strong Cover Letter: Write a cover letter that showcases your understanding of the role and the company. Discuss how your background in statistical data and your inquiring mindset can contribute to their projects.
Showcase Your Projects: If you have worked on any relevant projects, include them in your application. Describe the methodologies you used, the challenges you faced, and the outcomes achieved to demonstrate your practical experience.
Follow Up: After submitting your application, consider sending a polite follow-up email to express your continued interest in the position. This can help keep your application top of mind for the hiring manager.
How to prepare for a job interview at Manpower UK Ltd
✨Showcase Your Technical Skills
Be prepared to discuss your experience with data tools like Python, MATLAB, Kubernetes, and TensorFlow. Highlight specific projects where you applied these tools effectively.
✨Demonstrate Your Problem-Solving Ability
Prepare examples of how you've used scientific methods, experimental design, and hypothesis testing in past roles. This will show your ability to reach robust conclusions.
✨Communicate Clearly
Practice explaining complex data science concepts in simple terms. The ability to present and communicate your findings effectively is crucial for this role.
✨Emphasize Collaboration
Discuss your experience working with cross-functional teams, especially with technologists. Highlight how you contributed to the design and documentation of data products.
