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- Tasks: Transform complex data into actionable business strategies using statistical techniques and machine learning.
- Company: Leading UK retail partnership with a focus on innovation and collaboration.
- Benefits: Competitive salary up to £65,000, flexible working opportunities, and career development.
- Why this job: Make a real impact by influencing business strategies through data-driven insights.
- Qualifications: Proven experience in machine learning, strong Python and SQL skills, and stakeholder engagement.
- Other info: Hybrid working model based in London with excellent growth potential.
The predicted salary is between 52000 - 78000 £ per year.
A leading UK retail partnership is looking for a proactive Senior Data Scientist. This role is pivotal in transforming complex data into actionable business strategies.
The ideal candidate will have proven experience in statistical techniques and machine learning, strong Python and SQL skills, and excel in stakeholder engagement.
The position is based in London with flexible working opportunities. Competitive salary up to £65,000 offered.
Senior Data Scientist - ML & Stakeholder Influence (Hybrid) in London employer: John Lewis Partnership
Contact Detail:
John Lewis Partnership Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist - ML & Stakeholder Influence (Hybrid) in London
✨Tip Number 1
Network like a pro! Reach out to current employees at the company on LinkedIn. A friendly chat can give us insights into the company culture and might even lead to a referral.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. We recommend practising common data science problems and being ready to discuss your past projects in detail.
✨Tip Number 3
Showcase your stakeholder engagement skills during interviews. Think of examples where you’ve successfully communicated complex data insights to non-technical audiences.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed, and we love seeing candidates who take that extra step.
We think you need these skills to ace Senior Data Scientist - ML & Stakeholder Influence (Hybrid) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with statistical techniques and machine learning. We want to see how your skills in Python and SQL can shine through, so don’t hold back on those details!
Craft a Compelling Cover Letter: Your cover letter is your chance to show us your personality and passion for data science. Share specific examples of how you've transformed complex data into actionable strategies and how you’ve engaged with stakeholders.
Showcase Your Projects: If you’ve worked on any relevant projects, make sure to include them! We love seeing real-world applications of your skills, especially if they relate to retail or stakeholder influence.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity in London!
How to prepare for a job interview at John Lewis Partnership
✨Know Your Data Inside Out
Make sure you’re well-versed in the statistical techniques and machine learning methods relevant to the role. Brush up on your Python and SQL skills, and be ready to discuss how you've applied these in past projects.
✨Showcase Your Stakeholder Engagement Skills
Prepare examples of how you've successfully engaged with stakeholders in previous roles. Think about how you communicated complex data insights to non-technical audiences and be ready to share those stories.
✨Research the Company and Its Data Needs
Dive into the company’s recent projects and data initiatives. Understanding their business strategies will help you tailor your responses and demonstrate how you can add value to their team.
✨Prepare Thoughtful Questions
Have a list of insightful questions ready for your interviewers. This shows your genuine interest in the role and helps you gauge if the company culture and expectations align with your career goals.
