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- Tasks: Build and optimise data models for supply chain operations in a fast-paced environment.
- Company: Join an international E-commerce leader with a growing supply chain operation.
- Benefits: Competitive salary, flexible benefits, and a 12% bonus.
- Why this job: Be the first Data Scientist and shape the future of supply chain analytics.
- Qualifications: 3+ years experience in data science with skills in Python and SQL.
- Other info: Collaborate with a top-tier team and access cutting-edge Azure technology.
The predicted salary is between 70000 - 88000 £ per year.
We are representing an international E-commerce business with a significant and growing supply chain operation, to find their first Data Scientist to focus on Supply Chain operations. Having previously relied on a third-party provider for this capability, the business is now looking to bring this expertise in-house - a genuinely exciting opportunity to build something from the ground up in a high-impact, data-rich environment that moves at pace.
You will sit within the Supply Chain Technology function, embedded in a strategic projects team that covers new use cases and initiatives end-to-end. Working closely with a highly regarded, technically minded leader, you will develop and deploy advanced optimisation and predictive models across inbound routing, inventory management, warehousing, and last-mile delivery. You will have access to the larger, core data science and ML team and will be able to use the most cutting-edge Azure-based tech stack.
An experienced Data Scientist (minimum 3 years) with a background in Operations Research data, Supply Chain data, Logistics data or similar.
- Proficiency in Python and SQL.
- It would be a bonus if you have prior experience leading or mentoring Junior Data Analysts.
Data Marketing Scientist in Doncaster employer: TRIA
Contact Detail:
TRIA Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Marketing Scientist in Doncaster
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working in supply chain or data science roles. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving optimisation and predictive models. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your Python and SQL skills. Be ready to discuss how you've used these tools in real-world scenarios, particularly in supply chain contexts. Practice makes perfect!
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by the hiring team directly.
We think you need these skills to ace Data Marketing Scientist in Doncaster
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Marketing Scientist role. Highlight your experience in Supply Chain data and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Showcase Your Skills: Don’t just list your skills; demonstrate them! Use specific examples of how you've used Python and SQL in your previous roles. We love seeing real-world applications of your expertise.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you're excited about this opportunity and how you can contribute to our team. Make it personal and engaging – we want to get to know you!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at TRIA
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of data science principles, especially in the context of supply chain operations. Be prepared to discuss how you've used Python and SQL in past projects, and think of specific examples where your work has made a tangible impact.
✨Showcase Your Problem-Solving Skills
Since this role involves developing optimisation and predictive models, be ready to tackle hypothetical scenarios during the interview. Practice explaining your thought process clearly and logically, as this will demonstrate your analytical skills and ability to think on your feet.
✨Familiarise Yourself with the Tech Stack
Get to know the Azure-based tech stack mentioned in the job description. If you have experience with similar tools or platforms, highlight that. Showing that you're proactive about learning new technologies can set you apart from other candidates.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about the company's supply chain initiatives and how they envision the role of a Data Scientist evolving. This shows your genuine interest in the position and helps you assess if it's the right fit for you.