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For Companies At a Glance
- Tasks: Join us to create and refine forecasting models that impact stock and demand planning.
- Company: Be part of a Portsmouth-based manufacturing company with a global reach.
- Benefits: Enjoy 28 days holiday, bonuses, life cover, pension, and more perks!
- Why this job: Shape the future of data science in a dynamic environment while driving innovation.
- Qualifications: Strong skills in SQL, Python, and AWS SageMaker are essential; experience in manufacturing is a plus.
- Other info: This is a brand new role, perfect for those looking to make a mark!
The predicted salary is between 33000 - 77000 £ per year.
Data Scientist As a brand new role for the business come and define this Data Scientist role! Develop, deploy and maintain accurate forecasting models that drive data-driven decision making for stock and demand planning for a Portsmouth based manufacturing company with global distribution. This role requires someone who can immerse themselves in the business, identifying and suggesting new data sources and innovative approaches to enhance forecasting models. Strong technical expertise in SQL, Python (including key libraries) and AWS SageMaker is essential, with flexibility to use R or other tools where suitable. Responsibilities: Forecasting Model Development: Data Management: Model Selection and Validation: Model Deployment and Maintenance: The successful Data Scientist will have Python and SQL for data analysis and machine learning. AWS SageMaker or other machine learning platforms. Ability to think strategically, suggest innovative data sources, and drive new ideas. Scenario-based modelling and complex “what if” analysis. Experience in manufacturing and/or stock and demand forecasting is highly advantageous. The role is based in Portsmouth and is paying a salary of £55,000 with excellent benefits including 28 days holiday, Bonus, Life Cover, pension and more. Apply now or contact Chris Lynes at Spectrum IT Recruitment for more information Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
Data Scientist employer: Spectrum IT Recruitment
Contact Detail:
Spectrum IT Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Familiarize yourself with the specific forecasting models used in manufacturing. Understanding industry-specific practices will help you stand out as a candidate who can immediately contribute to the team.
✨Tip Number 2
Showcase your experience with SQL and Python by preparing examples of past projects where you've successfully implemented data analysis or machine learning solutions. This will demonstrate your technical expertise effectively.
✨Tip Number 3
Research the company’s current data sources and forecasting methods. Being able to discuss potential improvements or new data sources during your interview will highlight your proactive approach and strategic thinking.
✨Tip Number 4
If you have experience with AWS SageMaker or similar platforms, be prepared to discuss how you've utilized these tools in previous roles. This will show that you're ready to hit the ground running in this new position.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Understand the Role: Take the time to thoroughly read the job description for the Data Scientist position. Understand the key responsibilities, required skills, and the specific tools mentioned, such as SQL, Python, and AWS SageMaker.
Highlight Relevant Experience: In your CV and cover letter, emphasize your experience with forecasting models, data management, and any relevant projects that showcase your technical expertise in Python and SQL. Mention any experience you have in manufacturing or stock and demand forecasting.
Showcase Your Technical Skills: Make sure to detail your proficiency in the required technical skills. Include specific examples of how you've used SQL, Python, and AWS SageMaker in past projects. If you have experience with R or other tools, mention that as well.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also demonstrates your enthusiasm for the role. Discuss how you can contribute to the company by suggesting innovative data sources and approaches to enhance their forecasting models.
How to prepare for a job interview at Spectrum IT Recruitment
✨Showcase Your Technical Skills
Make sure to highlight your expertise in SQL and Python during the interview. Be prepared to discuss specific projects where you've used these skills, especially in developing forecasting models or conducting data analysis.
✨Demonstrate Your Problem-Solving Ability
Prepare to discuss how you've approached complex problems in the past. Use examples that showcase your ability to think strategically and suggest innovative data sources or methods for enhancing forecasting models.
✨Familiarize Yourself with AWS SageMaker
Since this role requires experience with AWS SageMaker, make sure you understand its functionalities and be ready to discuss how you've used it in previous projects or how you would apply it in this new role.
✨Understand the Business Context
Research the manufacturing industry and stock/demand forecasting. Being able to speak knowledgeably about the challenges and trends in this area will demonstrate your commitment and understanding of the business needs.
