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- Tasks: Drive machine learning solutions and deliver impactful data insights.
- Company: Leading fitness apparel brand in the UK with a focus on innovation.
- Benefits: Hybrid working model, competitive salary, and opportunities for professional growth.
- Why this job: Make a real difference in the fitness industry using your data science skills.
- Qualifications: Strong Python and SQL skills with experience in machine learning projects.
- Other info: Collaborative environment with a focus on stakeholder engagement.
The predicted salary is between 36000 - 60000 £ per year.
A leading fitness apparel company in the United Kingdom is seeking a Data Scientist to drive machine learning solutions and deliver business impact. This role requires strong skills in Python and SQL, along with proven experience in delivering machine learning projects. You will work closely with stakeholders to understand their data needs and ensure the adoption of high-quality machine learning solutions. This position offers a hybrid working model, requiring 3 days in the Solihull HQ each week.
Commercial Data Scientist - Hybrid, Solihull employer: Gymshark
Contact Detail:
Gymshark 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 at the company on LinkedIn. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your machine learning projects. We want to demonstrate our expertise in Python and SQL, so make sure it’s easy to access and visually appealing.
✨Tip Number 3
Practice makes perfect! Set up mock interviews with friends or use online platforms. We need to be ready to discuss our experience and how we can deliver business impact through data science.
✨Tip Number 4
Apply through our website! It’s the best way to ensure our application gets noticed. Plus, we can tailor our application to highlight how we meet the specific needs of the role.
We think you need these skills to ace Commercial Data Scientist - Hybrid, Solihull
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and SQL, as well as any machine learning projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data science and how you can drive business impact. Share specific examples of your work that demonstrate your ability to deliver high-quality solutions.
Showcase Your Stakeholder Engagement: Since this role involves working closely with stakeholders, mention any experiences where you've successfully collaborated with others to understand their data needs. We love seeing teamwork in action!
Apply Through Our Website: For the best chance of getting noticed, make sure to apply through our website. It helps us keep track of applications and ensures you’re considered for the role directly!
How to prepare for a job interview at Gymshark
✨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 languages, and think about how you can explain complex concepts in a simple way to non-technical stakeholders.
✨Showcase Your Machine Learning Projects
Prepare to talk about your previous machine learning projects in detail. Highlight the challenges you faced, the solutions you implemented, and the impact your work had on the business. Use metrics to quantify your success whenever possible.
✨Understand the Company’s Needs
Research the fitness apparel company and understand their data needs. Think about how your skills can help them drive business impact. Tailor your answers to show that you’re not just a tech whiz, but also someone who can align with their goals.
✨Be Ready for Stakeholder Interaction
Since this role involves working closely with stakeholders, prepare for questions about how you communicate technical information to non-technical audiences. Practice explaining your past projects in a way that highlights your ability to collaborate and ensure the adoption of your solutions.
