At a Glance
- Tasks: Dive into data science and marketing projects, applying your skills in econometrics.
- Company: Join Ekimetrics, a leading firm in marketing analytics and data science.
- Benefits: Enjoy a competitive salary, performance bonuses, and flexible hybrid work.
- Other info: Collaborative environment with opportunities for R&D and career advancement.
- Why this job: Make an impact in marketing effectiveness while growing your data science expertise.
- Qualifications: Recent graduate with Python and data analysis skills.
The predicted salary is between 40500 - 47000 £ per year.
Ekimetrics is looking for a Junior Consultant in London to work on data science and marketing effectiveness projects. This role involves applying econometrics, collaborating with clients, and contributing to R&D initiatives.
The ideal candidate is a recent graduate with skills in Python and data analysis.
The position offers a salary of £40,500 to £47,000 plus performance bonuses and benefits, with a hybrid work model requiring at least two days in the London office.
Junior Data Scientist — Marketing Analytics & MMM (Hybrid) in London employer: Ekimetrics
Contact Detail:
Ekimetrics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Data Scientist — Marketing Analytics & MMM (Hybrid) in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with alumni from your university. You never know who might have a lead on that Junior Data Scientist role at Ekimetrics!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects and data analysis work. This will give you an edge when chatting with potential employers and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for interviews by practising common data science questions and case studies. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we often have exclusive roles listed that you won’t find anywhere else.
We think you need these skills to ace Junior Data Scientist — Marketing Analytics & MMM (Hybrid) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your skills in Python and data analysis. We want to see how your experience aligns with the role, so don’t be shy about showcasing relevant projects or coursework!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the Junior Data Scientist position and how your background makes you a great fit for our team at Ekimetrics.
Showcase Your Passion for Data: We love candidates who are genuinely passionate about data science and marketing analytics. Share any personal projects or experiences that demonstrate your enthusiasm and understanding of the field.
Apply Through Our Website: To make sure your application gets the attention it deserves, apply directly through our website. It’s the best way for us to keep track of your application and get back to you quickly!
How to prepare for a job interview at Ekimetrics
✨Know Your Data Science Basics
Brush up on your econometrics and data analysis skills before the interview. Be ready to discuss how you've applied Python in your projects, as this will show your technical competence and understanding of the role.
✨Showcase Your Collaboration Skills
Since the role involves working closely with clients, prepare examples of past experiences where you successfully collaborated with others. Highlight your communication skills and how you can translate complex data insights into actionable strategies.
✨Research Ekimetrics
Familiarise yourself with Ekimetrics' projects and values. Understanding their approach to marketing effectiveness will help you tailor your answers and demonstrate genuine interest in the company and its mission.
✨Prepare Questions
Have a few thoughtful questions ready for your interviewers. This shows your enthusiasm for the role and helps you gauge if the company culture aligns with your expectations, especially regarding the hybrid work model.