At a Glance
- Tasks: Build and deploy machine learning models to solve real-world problems.
- Company: Global consultancy with a focus on innovation and impact.
- Benefits: Competitive salary, bonuses, and a flexible hybrid working model.
- Other info: Exciting projects with opportunities for career advancement.
- Why this job: Make a difference by applying your skills in a dynamic environment.
- Qualifications: Strong Python and SQL skills, AWS experience, and a STEM degree.
The predicted salary is between 60000 - 175000 £ per year.
A global consultancy is seeking a Data Scientist (Mid to Director) to work on client projects in London. The role involves building and deploying machine learning models, problem definition, project management from idea to production, and stakeholder presentations.
Ideal candidates will have:
- Strong Python and SQL skills
- AWS experience
- A BSc in a STEM or quantitative field
This position offers a competitive salary ranging from £60K to £175K plus bonuses, with a hybrid working model.
London Hybrid Data Scientist: Build & Deploy ML for Impact employer: Oliver Bernard
Join a leading global consultancy that values innovation and collaboration, offering a dynamic work culture where your contributions directly impact client success. With a competitive salary and hybrid working model, you'll have access to extensive employee growth opportunities, including professional development and mentorship programmes, all while working in the vibrant city of London.
StudySmarter Expert Advice🤫
We think this is how you could land London Hybrid Data Scientist: Build & Deploy ML for Impact
✨Tip Number 1
Network like a pro! Reach out to people in the industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects. This is your chance to demonstrate your Python and SQL prowess, so make it shine!
✨Tip Number 3
Prepare for interviews by practising common data science questions and case studies. We recommend simulating real interview scenarios with friends or mentors to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace London Hybrid Data Scientist: Build & Deploy ML for Impact
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your Python and SQL skills, as well as any AWS experience. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about data science and how you can make an impact at our consultancy. We love seeing enthusiasm and a clear understanding of the role.
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled complex problems in the past. We’re looking for candidates who can define problems and manage projects from idea to production, so share those experiences!
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 the role. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Oliver Bernard
✨Know Your Tech Inside Out
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your ML Experience
Prepare to talk about your experience with building and deploying machine learning models. Have a couple of examples ready that highlight your problem definition skills and how you managed projects from idea to production.
✨Understand the Consultancy Landscape
Research the consultancy's recent projects and clients. This will help you tailor your answers to show how your skills can directly benefit their work and demonstrate your genuine interest in the role.
✨Practice Stakeholder Presentations
Since stakeholder presentations are part of the job, practice explaining complex data science concepts in simple terms. This will show your ability to communicate effectively with non-technical audiences, which is crucial in a consultancy setting.
