At a Glance
- Tasks: Create and implement next-gen econometric models for impactful marketing insights.
- Company: Evoke plc, a dynamic team of mathematicians, statisticians, and economists.
- Benefits: Industry-leading family support, perks, financial compensation, and hybrid working options.
- Other info: Join a culture of growth and development in a collaborative environment.
- Why this job: Drive marketing efficiency and make a real impact with your analytical skills.
- Qualifications: Advanced experience in MMM, Python or R, SQL, and strong communication skills.
The predicted salary is between 60000 - 80000 £ per year.
Here at evoke plc our Econometrics team consists of talented mathematicians, statisticians, and economists who develop econometric models and analytical frameworks that support decision‑making across Marketing, Finance, and Commercial functions. The team works closely with stakeholders across evoke to deliver actionable insights and drives econometric analysis for all brands and markets.
What you will be doing
- Create and implement our next generation solution of MMM
- Deploy and maintain econometric models for different brands and markets
- Own the project delivery to ensure all the fundamental questions are correctly addressed
- Work with internal stakeholders and support functions across evoke, as well as external partners
- Support the management team in delivering our best‑in‑class internal MMM team, by cultivating a culture and environment for first‑class econometrics coupled with team growth and development
- Direct involvement in driving marketing efficiency and improvements through optimisation and scenario planning
- Participate in building and maintaining marketing optimisation tools, interactive dashboards, and process automation required to build a best‑in‑class internal econometrics capability
Who we are looking for
- Advanced MMM experience from a media agency or consultancy, or in‑house from a relevant industry with a numerate degree such as Mathematics, Statistics, Economics, or Computer Science at undergraduate or postgraduate level
- Experience in Python or R, and SQL, as well as having advanced Excel skills for modelling, data processing, and post‑processing analysis
- Experience of leading econometric projects and mentoring junior members of the team; also comfortable managing stakeholders and delivering presentations
- A working understanding of the media planning and buying landscape and how MMM can drive more effective marketing plans; excellent communication skills, highly self‑motivated, results‑orientated, and a critical thinker
What we offer
- Family support – industry‑leading maternity and paternity leave and paid time off for caring responsibilities
- Perks and discounts – discounts at a range of high‑street retailers
- Financial compensation, pension, and bonus schemes
- Health & wellbeing – tools and services for mental health and financial education, gym discounts and cycle‑to‑work scheme
- Hybrid working – up to 4 days working from home with 1 day office time built in for face‑to‑face collaboration
Senior Econometrician employer: evoke
At evoke plc, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation within our Econometrics team. With industry-leading family support, comprehensive health and wellbeing initiatives, and flexible hybrid working arrangements, we empower our employees to thrive both personally and professionally. Join us in a role where your expertise will directly influence marketing efficiency and drive meaningful insights across diverse brands and markets.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Econometrician
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Senior Econometrician
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at evoke, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at evoke. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at evoke
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at evoke!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
