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- Tasks: Develop pricing insights from complex data and engage with cross-functional teams.
- Company: Leading technology company in London with a focus on innovation.
- Benefits: Autonomy in a supportive environment and opportunities for strategic initiatives.
- Why this job: Make an impact through data-driven decision-making in a dynamic team.
- Qualifications: 4+ years in data analysis, proficiency in Python/R and SQL, strong communication skills.
- Other info: Great opportunity for career growth in a tech-savvy environment.
The predicted salary is between 36000 - 60000 £ per year.
A leading technology company in London seeks a proactive individual to join its Pricing Team. The role involves developing pricing insights from complex data, contributing to strategic initiatives, and engaging with cross-functional teams.
Ideal candidates will have:
- 4+ years in data analysis
- Skill in Python/R and SQL
- Excellent communication ability
The position offers autonomy within a supportive environment focused on innovation and data-driven decision-making.
Pricing Data Scientist: Real-Time Modeling & APIs in City of London employer: Marshmallow
Contact Detail:
Marshmallow Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Pricing Data Scientist: Real-Time Modeling & APIs in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working at the company you're eyeing. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your data analysis prowess, especially using Python/R and SQL. This will not only impress but also demonstrate your hands-on experience.
✨Tip Number 3
Practice makes perfect! Get ready for interviews by doing mock sessions with friends or mentors. Focus on explaining your thought process clearly, as communication is key in cross-functional teams.
✨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 take the initiative to engage directly with us.
We think you need these skills to ace Pricing Data Scientist: Real-Time Modeling & APIs in City of London
Some tips for your application 🫡
Show Off Your Data Skills: Make sure to highlight your experience with data analysis, especially in Python/R and SQL. We want to see how you've tackled complex data problems in the past, so don’t hold back on those examples!
Communicate Clearly: Since excellent communication is key for this role, ensure your application is clear and concise. We love a good story, so share how you’ve effectively communicated insights to cross-functional teams in your previous roles.
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the specific skills and experiences that align with the Pricing Data Scientist role. We appreciate when candidates show they’ve done their homework.
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 shows you’re keen to join our innovative team!
How to prepare for a job interview at Marshmallow
✨Know Your Data Inside Out
Make sure you’re well-versed in the data analysis techniques relevant to pricing strategies. Brush up on your Python, R, and SQL skills, and be ready to discuss how you've used them in past projects. This will show that you can hit the ground running!
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex data challenges. Think about how you derived insights from data and contributed to strategic initiatives. This will demonstrate your proactive approach and ability to engage with cross-functional teams.
✨Communicate Clearly and Confidently
Since excellent communication is key for this role, practice explaining your past projects and findings in a clear and concise manner. Use simple language to describe complex concepts, as this will highlight your ability to convey insights effectively to non-technical stakeholders.
✨Embrace the Company Culture
Research the company’s values and focus on innovation. Be prepared to discuss how your personal values align with theirs and how you can contribute to a supportive environment. Showing that you fit into their culture can set you apart from other candidates.
