At a Glance
- Tasks: Develop media mix models and enhance marketing strategies with data insights.
- Company: Harnham, a leading firm in marketing measurement and analytics.
- Benefits: Competitive salary, 10% annual bonus, and hybrid working options.
- Other info: Strong progression potential as the data science team expands.
- Why this job: Join a growing team and make a real impact on marketing effectiveness.
- Qualifications: Extensive experience in Python and statistical modelling techniques.
The predicted salary is between 45000 - 55000 € per year.
Harnham is seeking a skilled data scientist to join their marketing measurement team in London. The role involves developing media mix models, overseeing marketing effectiveness, and collaborating with various stakeholders to enhance marketing strategy.
Ideal candidates will have extensive experience in Python and statistical modelling techniques.
The company offers a competitive salary between £45,000 and £55,000, a 10% annual bonus, and hybrid working options with strong progression potential as the data science team expands.
Hybrid London Marketing Data Scientist: Scale Analytics employer: Harnham
Harnham is an exceptional employer that fosters a dynamic and collaborative work culture, perfect for those looking to make a significant impact in the field of marketing data science. With competitive salaries, annual bonuses, and flexible hybrid working options, employees are encouraged to grow and develop their skills as the data science team continues to expand in London, making it an ideal place for ambitious professionals seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Hybrid London Marketing Data Scientist: Scale Analytics
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with current employees at Harnham. A friendly chat can sometimes lead to opportunities that aren’t even advertised!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects and statistical models. This will give you an edge and demonstrate your expertise in marketing measurement.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of media mix models and marketing effectiveness. We recommend practising common data science interview questions to boost your confidence.
✨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!
We think you need these skills to ace Hybrid London Marketing Data Scientist: Scale Analytics
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python and statistical modelling techniques. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how you can contribute to our marketing measurement team. Keep it engaging and personal – we love to see your personality!
Showcase Your Collaboration Skills:Since this role involves working with various stakeholders, make sure to mention any past experiences where you’ve successfully collaborated with others. We value teamwork, so let us know how you can enhance our marketing strategy together!
Apply Through Our Website:We encourage you to apply directly through our website for a smoother application process. It’s the best way for us to receive your application and get to know you better. Don’t miss out on this opportunity!
How to prepare for a job interview at Harnham
✨Know Your Data Science Stuff
Make sure you brush up on your Python skills and statistical modelling techniques. Be ready to discuss specific projects where you've applied these skills, as the interviewers will want to see how you can contribute to their marketing measurement team.
✨Understand Media Mix Models
Familiarise yourself with media mix models and how they impact marketing effectiveness. Prepare to explain how you've used these models in past roles or how you would approach developing one for Harnham's needs.
✨Show Your Collaborative Side
Since this role involves working with various stakeholders, think of examples where you've successfully collaborated with others. Highlight your communication skills and how you can bridge the gap between data science and marketing strategy.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company's marketing strategies and the data science team's future. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
