At a Glance
- Tasks: Work on exciting machine learning projects and develop data science solutions.
- Company: Leading fitness apparel brand with a commitment to equality.
- 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 fitness industry.
- Qualifications: Proficient in Python, SQL, and cloud platforms; strong collaboration skills.
The predicted salary is between 28800 - 48000 £ per year.
A leading fitness apparel company in Solihull is seeking a Data Scientist to work on impactful machine learning projects. You will develop and maintain data science solutions, collaborate with teams, and communicate insights effectively.
Strong skills in Python, SQL, and cloud-based platforms are required. This hybrid role involves working in the Solihull HQ three days a week.
A commitment to equality is at the core of our hiring process.
Commercial Data Scientist - Hybrid, Solihull employer: Gymshark Ltd
Contact Detail:
Gymshark Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Commercial Data Scientist - Hybrid, Solihull
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or attend industry events. It’s all about making connections that can help us get our foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those using Python and SQL. This will give us a chance to demonstrate our expertise beyond just a CV.
✨Tip Number 3
Prepare for the interview by practising common data science questions and case studies. We should also be ready to discuss how we can contribute to the team and the company’s goals.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets noticed. Plus, it shows we’re genuinely interested in being part of the team.
We think you need these skills to ace Commercial Data Scientist - Hybrid, Solihull
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your strong skills in Python, SQL, and any cloud-based platforms you've worked with. We want to see how you can bring your technical expertise to our team!
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect how your experience aligns with the role of a Commercial Data Scientist at our fitness apparel company.
Communicate Clearly: Since you'll be communicating insights effectively, make sure your written application is clear and concise. We appreciate straightforward communication that gets to the point!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and get you on the path to joining our team!
How to prepare for a job interview at Gymshark Ltd
✨Know Your Tech Inside Out
Make sure you're well-versed in Python, SQL, and any cloud platforms mentioned in the job description. Brush up on your coding skills and be ready to discuss specific projects where you've used these technologies. It’s a great way to show you’re not just familiar but truly proficient.
✨Showcase Your Problem-Solving Skills
Prepare to discuss how you've tackled complex data challenges in the past. Think of examples where your machine learning solutions made a real impact. This will demonstrate your ability to apply your skills effectively in a commercial setting.
✨Communicate Clearly and Confidently
Since you'll need to communicate insights effectively, practice explaining your past projects in simple terms. Avoid jargon when possible and focus on the value your work brought to the team or company. This will highlight your ability to collaborate and share knowledge.
✨Embrace the Company Culture
Research the fitness apparel company’s values and commitment to equality. Be prepared to discuss how your personal values align with theirs. Showing that you understand and appreciate their culture can set you apart from other candidates.