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- Tasks: Lead a team to deploy optimisation-driven data science solutions and communicate insights effectively.
- Company: A leading technology company in London with a focus on innovation.
- Benefits: Hybrid working model, competitive salary, and opportunities for professional growth.
- Why this job: Join a dynamic team and make a significant impact in the tech industry.
- Qualifications: 7+ years in Data Science, expertise in optimisation and machine learning.
- Other info: Hands-on leadership role in a collaborative and innovative environment.
The predicted salary is between 43200 - 72000 £ per year.
A leading technology company in London is seeking a Lead Data Scientist to oversee a team focused on deploying optimisation-driven data science solutions. The role requires over 7 years of experience in Data Science, strong skills in optimisation and machine learning, as well as the ability to effectively communicate complex models to senior stakeholders. This is a senior, hands-on leadership position in a hybrid working environment.
Lead Data Scientist - Optimisation & Production (Hybrid London) employer: Edison Smart®
Contact Detail:
Edison Smart® Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist - Optimisation & Production (Hybrid London)
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field, especially those who work in optimisation. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your optimisation and machine learning projects. This will help you demonstrate your expertise and make a lasting impression during interviews.
✨Tip Number 3
Practice your pitch! Be ready to explain complex models in simple terms. Senior stakeholders appreciate clarity, so rehearse how you'd communicate your ideas effectively.
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities waiting for you. Plus, applying directly shows your enthusiasm and commitment to joining our team.
We think you need these skills to ace Lead Data Scientist - Optimisation & Production (Hybrid London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data science, especially in optimisation and machine learning. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this Lead Data Scientist role. Share specific examples of how you've communicated complex models to stakeholders in the past.
Showcase Leadership Experience: Since this is a senior position, we’re keen to see your leadership skills. Highlight any experience you have in leading teams or projects, and how you’ve driven successful outcomes in your previous roles.
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 our hybrid working environment!
How to prepare for a job interview at Edison Smart®
✨Know Your Data Science Inside Out
Make sure you brush up on your optimisation and machine learning skills. Be ready to discuss specific projects where you've applied these techniques, as well as the outcomes. This will show that you not only understand the theory but can also implement it effectively.
✨Prepare for Leadership Questions
As a Lead Data Scientist, you'll need to demonstrate your leadership abilities. Think of examples where you've successfully led a team or project. Be prepared to discuss how you motivate your team and handle conflicts, as this will be crucial in a senior role.
✨Communicate Complex Ideas Simply
Since you'll be communicating with senior stakeholders, practice explaining complex models in simple terms. Use analogies or real-world examples to make your points clear. This will showcase your ability to bridge the gap between technical and non-technical audiences.
✨Research the Company’s Projects
Familiarise yourself with the company's current projects and challenges in optimisation. This will not only help you tailor your answers but also show your genuine interest in the role and how you can contribute to their success.
