Commercial ML Data Scientist (Hybrid)
Commercial ML Data Scientist (Hybrid)

Commercial ML Data Scientist (Hybrid)

Full-Time 36000 - 60000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Transform business needs into machine learning solutions and manage projects from start to finish.
  • Company: Leading e-commerce company in the UK with a focus on innovation.
  • Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
  • Why this job: Join a dynamic team and make a real impact in the e-commerce industry.
  • Qualifications: Experience with Python, SQL, and cloud platforms is essential.
  • Other info: Collaborative environment with a focus on creativity and problem-solving.

The predicted salary is between 36000 - 60000 £ per year.

A leading e-commerce company in the United Kingdom is seeking a Data Scientist who is curious and commercially minded. This role involves translating business needs into machine learning solutions, collaborating with various stakeholders, and managing projects from build to deployment.

The ideal candidate should have extensive experience with Python, SQL, and cloud-based platforms. The position is hybrid, requiring onsite work three days a week at the Solihull HQ.

Commercial ML Data Scientist (Hybrid) employer: The Inside Job

As a leading e-commerce company in the UK, we pride ourselves on fostering a dynamic and inclusive work culture that encourages innovation and collaboration. Our hybrid working model allows for flexibility while still providing ample opportunities for professional growth and development, particularly at our Solihull HQ where employees can engage directly with diverse teams and projects. Join us to be part of a forward-thinking organisation that values your contributions and supports your career aspirations.
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Contact Detail:

The Inside Job Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Commercial ML Data Scientist (Hybrid)

✨Tip Number 1

Network like a pro! Reach out to people in the industry, especially those working at the company you're eyeing. A friendly chat can open doors and give you insights that might just help you land that interview.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your machine learning projects. Whether it's a GitHub repo or a personal website, having tangible examples of your work can really impress potential employers.

✨Tip Number 3

Prepare for the interview by understanding the company's business model. Think about how your skills in Python, SQL, and cloud platforms can directly benefit their operations. Tailoring your answers to their needs will make you stand out.

✨Tip Number 4

Don’t forget to apply through our website! We’ve got loads of resources to help you prepare and make your application shine. Plus, it shows you’re genuinely interested in joining our team!

We think you need these skills to ace Commercial ML Data Scientist (Hybrid)

Machine Learning
Python
SQL
Cloud-based Platforms
Project Management
Stakeholder Collaboration
Business Needs Translation
Curiosity
Commercial Mindset

Some tips for your application 🫡

Show Your Curiosity: We want to see your passion for data science! In your application, highlight any projects or experiences where you’ve explored new ideas or solved complex problems. This will show us that you’re not just about the numbers, but also about the journey of discovery.

Tailor Your Application: Make sure to customise your CV and cover letter to reflect the specific skills and experiences mentioned in the job description. We love seeing how your background aligns with our needs, especially your experience with Python, SQL, and cloud platforms.

Collaborate and Communicate: Since this role involves working with various stakeholders, it’s important to demonstrate your collaboration skills. Share examples in your application where you’ve successfully worked in a team or communicated complex ideas to non-technical audiences.

Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our company culture and values.

How to prepare for a job interview at The Inside Job

✨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 cloud platforms you've worked with. This will show that you're not just familiar with the tools, but that you can apply them effectively in a commercial setting.

✨Understand the Business Side

Since this role is all about translating business needs into machine learning solutions, take some time to research the e-commerce industry. Familiarise yourself with common challenges companies face and think about how your skills can help solve them. This will demonstrate your commercial mindset and curiosity.

✨Prepare for Collaboration Questions

You'll likely be asked about your experience working with different stakeholders. Think of examples where you've successfully collaborated on projects, especially those that required input from various teams. Highlight your communication skills and how you ensure everyone is on the same page throughout the project lifecycle.

✨Show Enthusiasm for Hybrid Work

As this position is hybrid, express your excitement about the flexibility it offers. Share how you plan to balance onsite collaboration with remote work. This shows that you're adaptable and understand the importance of both in-person and virtual teamwork.

Commercial ML Data Scientist (Hybrid)
The Inside Job
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