At a Glance
- Tasks: Lead econometric projects and build models that influence business decisions.
- Company: Join a dynamic team focused on marketing effectiveness and innovation.
- Benefits: Enjoy hybrid working, competitive salary, and opportunities for professional growth.
- Other info: Mentorship opportunities available; stay updated with industry trends.
- Why this job: Be part of a collaborative environment that values data-driven insights and creativity.
- Qualifications: Two years of experience in econometric modelling with strong coding skills in R and Python.
The predicted salary is between 42000 - 77000 £ per year.
We are looking for an experienced Marketing Mix Modeller with at least two years of hands-on experience and strong coding skills in R, Python and Excel. This is a chance to lead client projects and help shape the future of marketing effectiveness.
What You'll Do
- Manage end-to-end delivery of econometric projects
- Build and present models that drive business decisions
- Collaborate across analytics, data science and client teams
- Support innovation and product development
What We’re Looking For
- Proven expertise in econometric modelling and regression analysis
- Strong coding skills and a meticulous approach to data
- Strong communicator with the ability to present complex insights clearly
- Client-focused with a results-driven mindset
- Deep knowledge of econometric theory and practical application
- Proficient in data collection, cleansing, and analysis using Excel and coding tools
- Skilled in scenario planning and building actionable, robust models
- Organised and able to manage multiple projects independently
- Experienced in leading modelling projects from data prep to delivery
- Comfortable mentoring junior team members and collaborating cross-functionally
- Curious and innovative, with an interest in machine learning and new measurement approaches
- Keeps up to date with industry trends and contributes to best practice development
If you are passionate about data-driven decision making and want to grow in a high-impact role within a collaborative and ambitious team, we would love to hear from you. Apply now or reach out for a confidential chat.
Econometric Modeller employer: MBN Solutions
Join a pioneering Enterprise AI company in London that values innovation and direct customer engagement. With a strong focus on employee growth, you will have the opportunity to work closely with enterprise clients, tackling real-world challenges while developing cutting-edge solutions. The collaborative work culture encourages creativity and offers meaningful equity, making it an exceptional place for engineers eager to make a significant impact.
StudySmarter Expert Advice🤫
We think this is how you could land Econometric Modeller
✨Tip Number 1
Familiarise yourself with the latest trends in econometric modelling and marketing mix analysis. This will not only help you understand the current landscape but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Showcase your coding skills in R and Python by working on personal projects or contributing to open-source initiatives. Having tangible examples of your work can set you apart from other candidates.
✨Tip Number 3
Network with professionals in the field through LinkedIn or industry events. Building connections can provide insights into the company culture and may even lead to referrals, increasing your chances of landing the job.
✨Tip Number 4
Prepare to discuss your experience in managing projects and collaborating with cross-functional teams. Highlighting your ability to lead and communicate effectively will demonstrate that you're a great fit for the role.
We think you need these skills to ace Econometric Modeller
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in econometric modelling and regression analysis. Include specific projects where you've used R, Python, and Excel, showcasing your coding skills and results-driven mindset.
Craft a Compelling Cover Letter:In your cover letter, emphasise your passion for data-driven decision making and your ability to manage end-to-end econometric projects. Mention your experience in collaborating with cross-functional teams and how you can contribute to the company's goals.
Showcase Your Communication Skills:Since strong communication is key for this role, provide examples of how you've presented complex insights clearly in past roles. This could be through presentations, reports, or client interactions.
Highlight Continuous Learning:Mention any recent courses, certifications, or self-study related to econometrics, machine learning, or industry trends. This shows your commitment to staying updated and contributing to best practices.
How to prepare for a job interview at MBN Solutions
✨Showcase Your Technical Skills
Make sure to highlight your coding skills in R, Python, and Excel during the interview. Prepare examples of projects where you successfully applied these skills, as this will demonstrate your hands-on experience and technical expertise.
✨Prepare for Scenario-Based Questions
Expect questions that assess your ability to build actionable models and conduct scenario planning. Be ready to discuss specific instances where you've used econometric modelling to drive business decisions, showcasing your problem-solving abilities.
✨Communicate Complex Insights Clearly
As a strong communicator, practice explaining complex econometric concepts in simple terms. This will be crucial when presenting your findings to clients or collaborating with cross-functional teams, so consider rehearsing with a friend or colleague.
✨Demonstrate Your Curiosity and Innovation
Show your passion for staying updated with industry trends and new measurement approaches. Discuss any recent developments in econometrics or machine learning that excite you, as this will reflect your commitment to continuous learning and innovation.
