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- Tasks: Develop data models to drive growth and enhance customer experience.
- Company: Dynamic online marketplace based in Manchester.
- Benefits: Competitive salary, company equity, and 25 days annual leave.
- Other info: Join a team that values innovation and offers great career growth.
- Why this job: Make a real impact by building data-driven solutions in a collaborative environment.
- Qualifications: Over 2 years of experience, strong Python and SQL skills, effective communication.
The predicted salary is between 65000 - 70000 £ per year.
An online marketplace in Manchester is looking for a Data Scientist to develop data models that drive growth and enhance customer experience.
The applicant should have:
- Over 2 years of experience in a related field
- Strong Python and SQL skills
- The ability to communicate insights effectively
The role includes:
- Model development
- A/B testing
- Collaboration with various teams
A competitive salary of £65,000 to £70,000 is offered along with attractive benefits such as company equity and 25 days of annual leave.
Data Scientist: Build Data-Driven Solutions in Manchester employer: OnBuy Limited
Contact Detail:
OnBuy Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist: Build Data-Driven Solutions in Manchester
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow data enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data models and projects. Use platforms like GitHub to share your work, and make sure to highlight your Python and SQL expertise. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on A/B testing and model development concepts. Practice explaining your insights clearly and concisely, as communication is key in this role. We want you to shine when it comes to discussing your past experiences!
✨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. So, get those applications in and let’s get you that Data Scientist role!
We think you need these skills to ace Data Scientist: Build Data-Driven Solutions in Manchester
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your Python and SQL skills in your application. We want to see how you've used these tools in your previous roles, so don’t hold back on the details!
Communicate Clearly: Since effective communication is key for us, ensure your application reflects your ability to convey insights. Use clear language and examples that demonstrate how you’ve shared data-driven findings with others.
Tailor Your Experience: Don’t just send a generic application! Tailor your experience to match the job description. Mention any relevant projects or experiences that align with model development and A/B testing.
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 to know you better!
How to prepare for a job interview at OnBuy Limited
✨Know Your Data Models
Make sure you brush up on your data modelling skills before the interview. Be ready to discuss specific models you've developed in the past, how they drove growth, and the impact they had on customer experience.
✨Show Off Your Python and SQL Skills
Prepare to demonstrate your proficiency in Python and SQL. You might be asked to solve a problem on the spot, so practice coding challenges or data manipulation tasks that showcase your technical abilities.
✨Communicate Insights Clearly
Since effective communication is key, think about how you can present complex data insights in a simple way. Prepare examples of how you've communicated findings to non-technical teams in the past.
✨Collaborate and Connect
This role involves working with various teams, so be ready to discuss your collaboration experiences. Think of examples where teamwork led to successful outcomes, and highlight your ability to adapt to different working styles.