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- Tasks: Create impactful data science solutions for major retailers and tackle pricing and supply chain challenges.
- Company: Leading UK consultancy with a focus on innovative data solutions.
- Benefits: Competitive salary, on-site work, and diverse client interactions.
- Why this job: Join a dynamic team and make a real difference in retail performance.
- Qualifications: 3 to 10+ years of data science experience required.
- Other info: Opportunities for career advancement at Lead and Principal levels.
The predicted salary is between 43200 - 72000 £ per year.
A leading UK consultancy is seeking experienced data scientists to build impactful data science solutions for major retailers. You will work on pricing optimisations, supply chain challenges, and collaborate closely with clients to enhance their performance.
Roles available at Lead and Principal levels, requiring 3 to 10+ years of experience. The position offers a competitive salary, working on-site 3+ days a week with diverse clients across the UK.
Lead Data Scientist — Retail Pricing & Ops (On-site) in London employer: Jobster
Contact Detail:
Jobster Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist — Retail Pricing & Ops (On-site) in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the retail and data science sectors. Attend industry events or webinars to meet potential employers and showcase your expertise.
✨Tip Number 2
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in retail pricing and operations. We recommend practising common interview questions and case studies relevant to the role.
✨Tip Number 3
Showcase your projects! Create a portfolio that highlights your previous work in data science, especially any projects related to pricing optimisation or supply chain challenges. This will give you an edge during discussions with potential employers.
✨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 stay updated on new roles as they come in.
We think you need these skills to ace Lead Data Scientist — Retail Pricing & Ops (On-site) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Lead Data Scientist role. Highlight your experience in pricing optimisation and supply chain challenges, as these are key areas for us. Use specific examples that showcase your impact in previous roles.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data science and how it can transform retail. Mention why you want to work with us and how your skills align with our mission to enhance client performance.
Showcase Relevant Projects: Include any relevant projects or case studies in your application. We love seeing real-world applications of your skills, especially those that demonstrate your ability to solve complex problems in retail settings.
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 Jobster
✨Know Your Data Science Stuff
Make sure you brush up on your data science fundamentals, especially around pricing optimisation and supply chain analytics. Be ready to discuss specific projects you've worked on and the impact they had on previous clients.
✨Showcase Your Problem-Solving Skills
Prepare to tackle hypothetical scenarios during the interview. Think about how you would approach real-world challenges in retail pricing and operations, and be ready to explain your thought process clearly.
✨Understand the Client's Needs
Research the consultancy and its major retail clients. Understand their business models and current challenges in the market. This will help you tailor your answers and demonstrate that you're genuinely interested in helping them succeed.
✨Practice Collaborative Communication
Since you'll be working closely with clients, practice articulating your ideas and findings in a way that's easy for non-technical stakeholders to understand. Role-play with a friend or colleague to refine your communication skills.
